led_strip 3.1.0~1 calls rmt_tx_switch_gpio (IDF >= 5.5 API), which is
undeclared on ESP-IDF 5.4 (src/led_strip_rmt_dev.c:189), so every
clean-checkout firmware build fails. Constrain to ~3.0.3.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The per-node grid gate locked onto the densest CSI grid a node had ever
sent and rejected every other grid. Real ESP32-S3 nodes interleave
several grids: one node sent 192 bins on 88% of frames and 306 on 6%, so
the gate locked onto the 306 minority and dropped about 90% of that
node's frames. A node whose radio moved to a sparser grid for good was
rejected forever; when every node did this, `tick` froze while /health
still reported ok.
The gate now votes over each node's last 64 frames and locks onto the
grid the node sends most. A challenger must outnumber the active grid
3:2 to take over, so interleaved grids don't flap the lock. A switch
clears the window as before. On an ESP32-C6 the HE-SU majority still
wins and the HT minority is still rejected.
/health keeps `status: "ok"` (the UI's server probe keys on it) and adds
a `processing` block: a live/stalled/no_input/idle state, the age of the
last published update, and lock-free UDP counters (datagrams, age of the
last datagram, datagrams dropped by the source allowlist). A frozen
pipeline can now be told apart from input that stopped arriving.
Allowlist drops also log a warning on the 1st, 2nd, 4th, 8th... drop
instead of only at debug level.
Co-Authored-By: claude-flow <ruv@ruv.net>
Esp32CsiParser capped n_subcarriers at 256. Real ESP32-S3 nodes on
firmware 0.8.12 send 1-antenna frames with 306 subcarriers (612 I/Q
bytes), so the parser dropped about a third of live frames. Pointcloud
started hitting that cap once it switched to this parser.
The bound now comes from the firmware: frames are serialized into
CSI_MAX_FRAME_SIZE = 20 + 4 * 256 * 2 bytes, so a frame carries at most
1024 I/Q pairs across all antennas. The check is n_antennas *
n_subcarriers <= 1024.
HT/legacy bandwidth no longer maps subcarrier counts above 128 to 80 or
160 MHz. ESP32 radios use 20/40 MHz channels, and the larger counts
(192, 306) come from merged LLTF/HT-LTF buffers, so anything above 64
is reported as 40 MHz.
The pointcloud UDP receive buffer grows from 2048 to 4096 bytes so the
largest legal frame (2068 bytes) is not truncated.
Refs #1348
Co-Authored-By: claude-flow <ruv@ruv.net>
--password puts the WiFi password in argv, where ps and shell history can
see it (#1754). This adds two ways to give it without that:
- --password-file PATH reads it from a file, dropping one trailing newline
(\n or \r\n). The file must exist and not be empty. If group or others can
read it, the script refuses and suggests chmod 600.
--allow-insecure-password-file accepts such a file with a warning, for
read-only mounts such as 0444 secrets.
- When --ssid is given with no password flag and stdin is a terminal, the
script asks with getpass. It reuses a saved password only if it was saved
for the same SSID. Without a terminal (scripts, CI) nothing is asked and
the existing missing-credentials check applies.
--password still works, but now prints a one-line warning on stderr that
points at --password-file. The two flags are mutually exclusive. The
firmware README examples now use --password-file.
Tests: 10 new tests in tests/test_provision_secrets.py, with placeholder
credentials and getpass and the flasher stubbed. 8 fail on the previous
commit; the other 2 check that nothing is asked without a terminal or when a
saved password matches the SSID. The suite goes from 25 to 35 passing.
Refs #1754
Co-Authored-By: claude-flow <ruv@ruv.net>
The sensing-server bridge builds every node frame with a zero phase
placeholder and the fuser combined those phases across nodes as if they
were measured against one reference. ESP32 nodes each run an independent
crystal with a random PLL phase after reset; mesh time sync aligns frames,
not RF phase, so there is nothing to combine.
- Add PhaseReference (Unavailable / NodeLocal / Shared{id}) to
MultiBandCsiFrame. The server bridge declares Unavailable.
- MultistaticFuser combines phase only when every frame declares the same
Shared id. Otherwise fused_phase is empty and FusedSensingFrame carries
PhaseFusion::AmplitudeOnly(reason). Amplitude fusion is unchanged.
- The ADR-134 CIR blend is skipped when the phase is a placeholder.
- TrustedOutput and /health/ready (trust.phase_fusion) report the mode
and reason.
- ADR-029 status note updated.
Refs #1752, #1710, #1750.
Co-Authored-By: claude-flow <ruv@ruv.net>
The pointcloud parser read channel from byte 8, RSSI from byte 9, noise
floor from byte 10 and a "timestamp" from bytes 16..19. The firmware
(csi_serialize_frame) writes freq_mhz as u32 at 8..11, sequence at
12..15, RSSI at 16, noise floor at 17 and PPDU type/flags at 18..19. So
RSSI came out as the high byte of the frequency (+9 for 2437 MHz), and
the tomography attenuation was built from it.
parse_adr018 now delegates to wifi_densepose_hardware::Esp32CsiParser,
the same parser the rest of the workspace uses, and only reshapes its
output. CsiFrame.channel/timestamp_us become freq_mhz/sequence, which
are what the header actually carries. ADR-081 feature-state packets
(0xC5110006) are no longer decoded as CSI frames.
build_test_frame (used by csi-test) now emits the real layout. Golden
byte-by-byte tests cover single and two-antenna frames, truncation and
the feature-state packet; a cross-check test compares against the
reference parser.
Refs #1348
Co-Authored-By: claude-flow <ruv@ruv.net>
provision.py saved each board's settings under the serial port path. Ports
get reused when boards are swapped (a second board on the same hub slot often
comes up as the same /dev/cu.usbmodem*), so the next board inherited the
previous board's node_id, target_port and channel without any sign (#1755).
- On a real flash the script reads the base MAC with `esptool read_mac` and
keeps state in mac-<aabbccddeeff>.json. The record also stores the MAC and
the port it was last written from.
- EUI-64 chips (C5, C6, H2) print an 8-byte "MAC:" line before "BASE MAC:";
the parser takes the base MAC on those and the single MAC line elsewhere.
- Migration: if the board has no record yet and a port-keyed file from an
earlier version exists, it is used once, with a notice that points at
--reset, then removed after the save so no other board can pick it up.
- --state and --dry-run still never open the port. --state shows the board
last provisioned from that port, and --mac selects a board by hand.
--dry-run without --mac keeps the port-keyed file, which the QEMU swarm test
relies on (--port /dev/null --dry-run).
- If the MAC can't be read, state stays keyed by port and the script says so.
Tests: tests/test_provision_mac_state.py adds 18 tests, using placeholder
MACs, with esptool, the NVS generator and the flasher stubbed. 15 of them
fail on the base; the other 3 guard behaviour the base already has (no serial
access on --dry-run, --reset, rejecting a bad --mac). The suite goes from 14
to 32 passing.
Not verified on hardware: the real esptool read_mac call. The output shapes
in the tests come from esptool 4.12 and 5.4.0 cmds.py.
Refs #1755
Co-Authored-By: claude-flow <ruv@ruv.net>
The per-port state file holds the WiFi password and seed token in clear, but
save_state() created the directory and file with the default umask, so they
landed 0755/0644 and any local user could read them (#1754). --state also
printed both values verbatim, and that output gets pasted into issues.
- The state dir is created 0700 and state files 0600. Staging uses mkstemp
(unique name, O_EXCL, 0600) plus fchmod, so a stale temp file or a planted
symlink can't receive the secret.
- harden_state_dir() tightens the dir and every .json/.tmp file in it,
including ones left by older versions. main() runs it before any read or
early exit, so --state repairs old files too. It skips symlinks and files
owned by other users, and only warns if chmod fails.
- The --dry-run NVS binary and the generator-failure CSV fallback are written
0600 even when the file already exists. The generator's CSV and binary now
live in a private mkdtemp() dir instead of the shared temp dir.
- --state shows password and seed_token as (set)/(empty). --show-secrets
prints them.
Windows is unchanged: chmod can't set owner-only ACLs there.
Tests: tests/test_provision_secrets.py adds 11 tests; all 11 fail on the
base and the suite goes from 14 to 25 passing.
Refs #1754
Co-Authored-By: claude-flow <ruv@ruv.net>
auto_label cuts a RuView .csi.jsonl recording at a radar log's window
boundaries and labels each cut empty/occupied with the radar's person
count and count interval, plus a small CSI summary (frame count, mean
RSSI, mean and variance of per-frame amplitude). The radar-to-recording
clock offset is a required, reported parameter. Windows are dropped with
a counted reason when the radar window is UNKNOWN, when too few CSI
frames fall inside it, or when an "empty" comes within empty_hold_ms of
an occupied window (a motion tracker can lose someone who sits still).
session_disjoint_split splits by session only and refuses a split where
either side would be empty or a named test session has no windows.
majority_baseline fits the no-CSI model on the training side (majority
occupancy class, mean count) and scores it on the test side, so any
occupancy accuracy built on these labels has a baseline next to it.
examples/radar_autolabel.rs is a small CLI over the three. Tests use
synthetic data only; nothing here has been run on a real capture yet.
Co-Authored-By: claude-flow <ruv@ruv.net>
ruview-groundtruth had an MmWave reference modality but no way to read a
radar log. RadarLabels reads one JSON summary per window (the shape a
UART radar reader writes: timestamp_ms, window_start_ms, health, source
flags, presence, target_count, max_target_count, distance_cm, targets
x/y) and turns each window into presence, person-count and nearest-range
labels.
Each label carries its basis and an uncertainty: a count interval from
the counts the window reports, the configured range sigma (a datasheet
figure, so CLAIMED), and the reader's quality. Windows from a simulated
or unverified source, a no_source reader, or with a presence flag that
disagrees with the count are UNKNOWN with a reason rather than guessed.
Labelled windows convert to ReferenceSeries for the existing alignment
and agreement code. Malformed lines are row-numbered InvalidRow errors.
serde_json moves from a dev-dependency to a dependency for the parser.
Co-Authored-By: claude-flow <ruv@ruv.net>
Proposed. Defines the RangeObservation record, a warn-only check mode
against --node-positions with tolerances from MEASURED ESP32-S3 FTM
bench data, per-boot calibration, and a fill mode gated off until a
source shows MEASURED p90 link error <= 0.3 m (expected from UWB).
Records the FTM bias between responder starts plainly and parks FTM
for check mode, coarse gating and time sync rather than dropping it.
Links ADR-144, ADR-281, rufield ADR-261, #2109 and #2133.
Co-Authored-By: claude-flow <ruv@ruv.net>
Adds ruview-survey, a host-side check that compares pairwise node ranges
with the configured --node-positions and warns, never writes. It reports
per-link residuals, a fitted scale with feet/inch/cm/mm unit detection,
a suggested id swap (exhaustive up to 8 nodes, fewest-changes rule,
explicit ambiguity for symmetric layouts), moved nodes, and unknown or
unranged ids.
RangeObservation is source-agnostic (FTM, UWB, BLE CS, manual). Per-boot
calibration keys offsets by (initiator, responder, responder_boot)
because the measured FTM bias moved with every responder start. Fill
mode is not implemented; fill_gate keeps it off until a source has
MEASURED p90 link error <= 0.3 m over >= 6 links.
FTM tolerances come from a two-board ESP32-S3 bench (20 MHz, ch 1):
spread within a start <= 0.31 m, bias between starts -0.5 to +1.9 m at
1.14 m, clamp to 0 below ~0.8 m. Tests are SYNTHETIC.
Co-Authored-By: claude-flow <ruv@ruv.net>
decay(now) multiplied confidence by exp(-(now - timestamp_ns)/tau_eff)
on every call, but timestamp_ns is the last-seen time and does not move
when decay runs. Calling decay(t1) then decay(t2) applied
exp(-(t1-ts)/tau) * exp(-(t2-ts)/tau) instead of exp(-(t2-ts)/tau), so
confidence fell faster the more often the caller ticked.
Track how far each Gaussian has already been decayed (decayed_to_ns)
and only apply the interval since max(decayed_to_ns, timestamp_ns).
A fresh observation still restarts the clock, and the lifetime-stretched
tau_eff is unchanged. Fusion and the merge pass keep the later of the
two decayed_to_ns values. The new field is #[serde(default)], so maps
serialized before this change load with 0 and decay from timestamp_ns
as before.
Adds two tests: one-shot vs. per-second decay must agree to 1e-12, and
the wall-vs-transient persistence case must hold when decay runs every
10 s.
Co-Authored-By: claude-flow <ruv@ruv.net>
The spatial.evidence.v1 format is specified in WeftOS ADR-107 section 7.
ADR-382 records the part RuView emits (envelope, room_enu frame,
rf_gaussian, rf_link_observation, validation ranges, versioning) so the
contract is readable from this repository, and names ADR-107 as its origin.
ADR-107 was amended on 2026-10-03: one yaw convention (degrees
counter-clockwise from room +x), new tof_depth and radar_range types, and
an optional sensor block on radar_track_point. The two RF bodies did not
change. The crate now documents the yaw sense of an rf_gaussian
orientation and tests it (+90 degrees about +z maps local x onto room +y),
and tests that the amended example lines are rejected as unknown types by
this RF-only mirror.
Co-Authored-By: claude-flow <ruv@ruv.net>
New leaf crate ruview-spatial-evidence converts ruview-unified output
into the spatial.evidence.v1 JSONL wire format (WeftOS ADR-107 section 7):
- RfGaussian / GaussianMap -> rf_gaussian records. A Gaussian with
synthetic provenance is always tagged SYNTHETIC; the caller can lower
the proof tag, never raise it.
- Link measurements (tx/rx, measured vs free-space amplitude) ->
rf_link_observation with excess_loss_db = 20 log10(free / measured).
The Friis reference comes from ruview-unified's channel model.
The v1 envelope and the two RF bodies are mirrored with local serde
structs, so there is no WeftOS dependency. Validation follows the v1
rules: schema version, id charset and length, finite values, coordinate,
frequency, scale, occupancy, confidence and excess-loss ranges, and the
16 KiB line limit. Golden tests compare against the ADR example lines.
Co-Authored-By: claude-flow <ruv@ruv.net>
The UDP receiver already refuses a routable bind without a source
allowlist (ADR-296), and the Docker entrypoint refuses a routable bind
without RUVIEW_API_TOKEN (#864). Running the binary directly with
--bind-addr 0.0.0.0 and no auth only logged that auth was off.
The server now exits at startup when the HTTP/WebSocket bind is not
loopback and API auth (RUVIEW_API_TOKEN or RUVIEW_OAUTH_ISSUER) is off,
unless RUVIEW_ALLOW_UNAUTHENTICATED is set, in which case it starts and
logs a warning. Loopback binds are unaffected. The conditions match the
entrypoint's, so a container that starts today still starts.
Co-Authored-By: claude-flow <ruv@ruv.net>
Every person count is already gated on presence, but two presence
decisions disagreed with the motion level published next to them:
- smooth_and_classify[_node] set presence = smoothed_motion > 0.03 while
the debounced level only leaves "absent" above 0.04. A quiet room that
settles in (0.03, 0.04] read motion_level "absent" with presence true,
so the count stayed at 1.
- The raw-CSI per-node count was gated on the per-frame classification,
which an adaptive-model label overrides. /api/v1/nodes could show a
node as "absent" with person_count 1 while the ADR-297 room vote (which
reads the node's debounced level) already said the room was empty.
Presence now follows the debounced level, as the room vote already does,
and the per-node count is gated on the node's own published level.
score_to_person_count keeps its floor of 1: it only runs when presence is
true, and an empty room reports 0 through the gate.
Co-Authored-By: claude-flow <ruv@ruv.net>
/api/v1/stream/status returned "fps": 10 whenever tick > 1, whatever the
real rate, and both it and /health counted every broadcast subscriber
(recorder, MQTT bridge) as a client. The dashboard Streaming card read
"IDLE, 0 client(s)" for up to 30 s while the page was streaming, because
its first /health poll lands before the page's socket connects; with auth
on, the ticket round-trip widens that gap.
- New stream_stats module: UpdateRateMeter (sliding 5 s window, bounded at
1024 samples) and WsClientCounter with an RAII guard.
- AppStateInner::advance_tick() replaces the five `s.tick += 1` sites and
records each sensing update in the meter.
- /api/v1/stream/status now returns the measured update rate as `fps`
(0 when nothing flows), `active` from that rate, `clients` from the
WebSocket counter, `nodes` with each fresh node's measured csi_fps (null
until its EMA has 5 samples) and `csi_fps_total`.
- /health and the /health/health stream component count WebSocket clients
on /ws/sensing and /api/v1/stream/pose; the stream component also carries
the measured rate.
- DashboardTab re-reads health 500 ms after the sensing socket connects or
drops, so the card follows the socket instead of waiting for the next
30 s poll.
Fixes#2087
Co-Authored-By: claude-flow <ruv@ruv.net>
The previous commit limited --source to auto/esp32/wifi/simulated, which
rejected the vendor names the server already keys on: mediatek, qualcomm,
realtek (RTL8720F radar) and realtek_csi (RTL8721Dx CSI). They are the
labels the UDP receiver writes and effective_source() ages.
On 03a89793 those names fell into the catch-all plan, which bound no UDP
receiver, so vendor frames were never ingested. They now plan like esp32
(UDP receiver bound) without the ESP32-shaped simulator. Anything else,
including case variants and runtime-only labels like "mediatek:simulated",
is still rejected.
Refs #2097
Co-Authored-By: claude-flow <ruv@ruv.net>
--privacy-mode was declared in the MQTT arg group and read only by the
MQTT publisher, so /api/v1/sensing/latest, /api/v1/pose/current, the
/ws/sensing and /api/v1/stream/pose streams and recordings kept serving
pose keypoints (and heart/breathing rate when vitals are published).
- Move --privacy-mode (env RUVIEW_PRIVACY_MODE) out of MqttArgs to a
top-level server flag. Spelling and env var are unchanged. The MQTT
config takes its value from the server flag.
- Add privacy_filter: one key filter for vital_signs, HR/BR leaves,
enhanced_breathing, keypoints, pose_keypoints and joints_m.
- REST: middleware strips those keys from every JSON response on the
HTTP and WS ports. Unparseable JSON is withheld with a 500.
- WebSocket: /ws/sensing frames and /api/v1/stream/pose messages are
filtered; the pose physics assessment is withheld.
- /api/v1/pose/current?view=both|refined returns 403 privacy_mode.
- Recordings write filtered frames.
- Default (flag off) behaviour is unchanged; the middleware is a no-op.
Fixes#2094
Co-Authored-By: claude-flow <ruv@ruv.net>
With RUVIEW_API_TOKEN set on the server and no token in the browser, the
sensing socket was refused, closed with 1006, and retried forever while the
header said "Connecting...". A browser cannot see the 401 on a refused
upgrade, so the service could not tell this from an outage.
- ws-ticket.js: resolveWsUrl() reports a stored token the server refuses
(401/403) as 'rejected'. probeWsAuthRequired() repeats the ticket request
with no bearer after an unticketed socket fails to open; a 401 means the
server wants a token this browser does not have ('missing'). The probe
only runs on the failure path, so auth-off servers see no extra request.
withWsTicket() keeps its string contract for the other callers.
- sensing.service.js: new 'auth-required' state and dataSource. Entering it
clears the retry timer; reconnect() leaves it.
- The header widget shows "Token required", the global banner explains it,
and both open QuickSettings on API Access (once automatically per page
load, then on click). Tab banners and the dashboard indicator get labels.
- Tests: ws-ticket.test.mjs (+6) and a new sensing.service.test.mjs (5),
added to the CI UI test step.
Fixes#2099
Co-Authored-By: claude-flow <ruv@ruv.net>
/api/v1/status reported source_state "live_unverified" for a configured
live source before any frame had arrived, because source_state() fed a
fixed zero frame age into the ADR-295 resolver. It now uses the real age
of the last accepted frame for the current source, so the states are:
- disconnected (waiting_for_frames: true) until the first frame
- live_unverified while frames arrive within ESP32_OFFLINE_TIMEOUT (5 s)
- stale once they stop for longer than that
The response also carries waiting_for_frames and last_frame_age_ms.
ADR-270 vendor events get their own receive clock so they age the same
way.
An unknown --source value (for example "macos") used to start a server
with no data task. Clap now rejects it with the list of valid values
(auto, esp32, wifi, simulated, simulate), and plan_source returns an
error for anything else.
Docs: user guide lists the valid --source values and status states, the
macOS section uses --source wifi, and the Linux section says there is no
Linux RSSI source in the server yet.
Refs #2097
Co-Authored-By: claude-flow <ruv@ruv.net>
EngineBridge built its StreamingEngine without ever calling
set_node_positions, so the governed fuser placed every node at the
origin even when --node-positions was set. Startup now passes the same
keyed map the sibling multistatic_fuser gets, via
EngineBridge::with_node_positions. The fuser resolves positions by
node_id per frame, so nodes discovered later need no extra call.
/api/v1/status (and /health/ready) now reports the map under
trust.node_positions so the configuration can be checked at runtime.
Co-Authored-By: claude-flow <ruv@ruv.net>
Recordings, the recording list/delete routes, the trainer's dataset
loader and model export, the models routes and the adaptive classifier
all used paths relative to the process cwd (`data/recordings`,
`data/models`, `data/adaptive_model.json`), so `--data-dir` only covered
config and the session secret.
Add `recordings_dir(data_dir)` and `models_dir(data_dir)` and use them
everywhere. `MODELS_DIR` still overrides the models directory, and the
trainer now honours it too. With the default `--data-dir data` the paths
are unchanged.
Fixes#2088
Co-Authored-By: claude-flow <ruv@ruv.net>
Both capture scripts decoded a header layout the firmware does not send.
csi_collector.c and esp32_parser.rs use: magic u32 @0, node_id @4,
n_antennas @5, n_subcarriers u16 @6, freq_mhz u32 @8, sequence u32 @12,
rssi i8 @16, noise_floor i8 @17, ppdu_type @18, flags @19, then
n_antennas * n_subcarriers int8 I/Q pairs from @20.
- collect-training-data.py read a 16-byte header and int16 I/Q, so its
length check rejected every real single-antenna frame. It now reads the
20-byte header and int8 pairs, records freq/channel/seq/ppdu/flags, and
lets the recorder stamp receive time (the header has no timestamp).
- record-csi-udp.py read rssi from byte 6 and channel from byte 7 (the
n_subcarriers bytes) and treated bytes 8-19 as I/Q, so a 64-subcarrier
frame came out as 70 subcarriers with header bytes in the first six
amplitudes. It now checks the magic, reads the real fields, and writes
only the I/Q block to iq_hex.
- Add scripts/tests/test_capture_adr018.py, which builds frames with the
esp32_parser.rs test layout and checks the decoded fields.
Co-Authored-By: claude-flow <ruv@ruv.net>
prove.sh looked only for `python`, so on macOS (python3 only) it skipped
the deterministic proof and still printed RESULT: PASS with exit 0.
- Pick $PYTHON, then python3, then python.
- Check numpy/scipy import before running verify.py and print the
lockfile install command when they are missing; warn when installed
versions differ from archive/v1/requirements-lock.txt.
- Run verify.py single-threaded, as CI does.
- Hard gates that cannot run (no cargo, no Python, missing deps) are
reported as [NOT RUN] and the run ends INCOMPLETE with exit 2.
Data/hardware-gated claims are unchanged.
- Tell people to stop any local server on UDP 5005 first (#2086).
Fixes#2095
Co-Authored-By: claude-flow <ruv@ruv.net>
latest_update is only rewritten when a source produces a new update. When
every source went quiet, /api/v1/sensing/latest kept returning the last
classification indefinitely, with no marker that it was old. A one-off
bogus frame could leave "absent 0.97" frozen there.
Past 10 s, the endpoint now returns
{"status":"stale","age_ms":...,"source":effective_source()} instead of
the old payload. Fresh payloads gain an age_ms field. "no data yet" is
unchanged. This is separate from #2060, which excludes stale nodes from
the room vote: that changes what a new update says, while this bounds how
long an old update is served.
Developed in whitsentry, a RuView-based project.
Co-Authored-By: claude-flow <ruv@ruv.net>
Stale node eviction (60 s) lived inside the ESP32 receive path and ran
every 100 ticks, so it only happened while ESP32 frames kept arriving.
After a burst of bogus node ids, or once every node went quiet, nothing
ever removed the entries, and they stayed listed in /api/v1/nodes for the
life of the process.
Move the existing rule unchanged into evict_stale_node_states (60 s,
nodes that never reported included). Call it from the receive path as
before, and from a new node_states_eviction_task that sweeps every 30 s
alongside the UDP receiver.
Developed in whitsentry, a RuView-based project.
Co-Authored-By: claude-flow <ruv@ruv.net>
parse_esp32_frame accepted any datagram that started with the 0xC511_0001
magic and had a 20-byte header. With n_antennas or n_subcarriers at zero,
the expected length collapses to the header itself, so the length check
passed and the frame minted a node carrying empty amplitude/phase arrays.
A non-ESP32 sender on the shared UDP port produced exactly that: bogus
nodes in /api/v1/nodes.
Return None when either count is zero. Well-formed frames parse as before.
The new tests cover zero antennas, zero subcarriers, and a bare header,
and check that a well-formed frame still parses.
Developed in whitsentry, a RuView-based project.
Co-Authored-By: claude-flow <ruv@ruv.net>
home-assistant.md now describes current behaviour: the 15 announced
entities (13 with --privacy-mode) with their source and availability
rule, the entities that are not announced and why, publish rates and
retention, the persisted client id, and what privacy mode does and does
not cover. The guide no longer documents --semantic* flags that
sensing-server does not accept, and it drops the HIPAA/GDPR/CCPA
claims.
ADR-115 §11 records what P4.5 wired and what it did not, with a
before/after measurement against a real broker (MEASURED, one live
node).
Refs #2085, #2093
Co-Authored-By: claude-flow <ruv@ruv.net>
Discovery announced 20 entities per device, but only 6 ever received
state (#2085). presence/state was published on every CSI frame, and the
per-process default client id gave Home Assistant new devices on every
restart (#2093).
- mqtt::planner maps each snapshot to availability, state and events.
It runs one SemanticBus per node at 1 Hz (ADR-115 P4.5) and gates
binary states on change with a 60 s retained heartbeat. Sensors keep
their configured rates. Each entity is `online` only while the server
has a source for it; otherwise it is `offline` and gets no state.
- Entities with no source on the sensing broadcast are no longer
announced: zone_occupancy, bathroom_occupied, bed_exit,
multi_room_transition (no zones), meeting_in_progress (motion is
three-level) and pose (pose_keypoints is never set). 15 remain, 13
with --privacy-mode.
- mqtt::bridge, moved from main.rs, reads only sensing_update. That
removes the phantom aggregate device that edge_vitals frames created.
It takes fall events from the edge_vitals rising edge and
motion_energy from motion_band_power (previously always 0.0), and maps
present_still to 0 % motion.
- The default client id is wifi-densepose-<8 hex>, persisted in
<data-dir>/mqtt_client_id. --mqtt-client-id still overrides it.
Refs #2085, #2093
Co-Authored-By: claude-flow <ruv@ruv.net>
- firmware/openwrt-wn586x3/: the patch set that made a Wavlink WL-WN586X3
Rev A (MT7981B + MT7976C) emit CSI on OpenWrt 24.10.8. It contains:
MediaTek's mt7915 CSI driver patch rebased onto the mt76 revision 24.10.8
pins (BSD-3-Clause-Clear, MediaTek author line kept); the Rev A board
patch (GPL-2.0); a buffer-overrun fix for `mt76-vendor dump csi`; and
an attribute-enum fix for MtkCSIdump. Each patch keeps the licence of
the code it modifies. There are no images, firmware blobs, or captures.
- docs/mediatek-router-csi.md: an operator guide covering supported
silicon, the image build route that was tested, arming CSI, the
bridge, `--source mediatek`, endpoints and provenance labels, what the
data is not, evidence, and troubleshooting. Every claim is tagged
MEASURED, CODE-DERIVED, CLAIMED, or SYNTHETIC.
- scripts/mediatek-csi-phase-stability.py: a read-only reproducer for
the one MEASURED offline result. On one MT7976C radio, the cross-chain
phase arg(H0*conj(H1)) moves 0.014-0.039 rad (p50) between adjacent
frames for well-sampled transmitters, against about 1.56 rad for raw
per-chain phase, which is what random phase gives. It never prints a
transmitter address. The captures it was run on are not in the tree.
- ADR-266 Amendment 1: vendor CSI exists on MT7981 through MediaTek's
public feed patch, demonstrated on one board model, and still
`mediatek:physical-unvalidated`. The hardware gates remain open.
- user-guide.md and the bridge README link to the guide.
Developed in whitsentry, a RuView-based project.
Co-Authored-By: claude-flow <ruv@ruv.net>
Adds `wifi-densepose-mtk-bridge`. It converts MediaTek mt76 vendor CSI
into ADR-267 MTC1 frames for the sensing server's UDP ingest.
Inputs:
- `--replay`: an `mt76-vendor dump csi` JSON file, or a `.mtkcap`
recording. Records are grouped into frames by the driver's last-chain
bit, per transmitter address, so HT 2x2 and legacy 1x2 runs from one
radio each close with their real dimensions. Concatenated and duplicate
dumps (the vendor tool appends) are reported, not hidden.
- `--listen`: MtkCSIdump UDP datagrams. They carry no packet identity, so
each datagram becomes one 1x1 frame rather than a guessed pairing.
Missing RSSI/noise is the -128 dBm sentinel, and PPDU type is `Unknown`.
Provenance:
- The bridge never sets CALIBRATED.
- A replayed file must be either attested (`--captured-on
<model>/<firmware>`) or declared `--synthetic`, or the bridge refuses to
start.
- Synthetic is sticky. It can come from a sidecar, a `.synthetic.` file
name, or a capture header, and none of these can be overridden.
- `--listen` requires a `--listen-allow` CIDR list. Other sources are
dropped and counted, never decoded.
Fixtures are fabricated and use locally administered addresses. The
assembler tests that model the two live dump loops use stand-in addresses,
not the real clients'. Captures written under the bridge's earlier format
tag still load.
Tests: 51 unit and 39 integration tests, plus clippy -D warnings.
Developed in whitsentry, a RuView-based project.
Co-Authored-By: claude-flow <ruv@ruv.net>
Real MediaTek frames now produce a room update, but from a heuristic that
is labelled as one on every output. The validated ESP32 pipeline needs
per-subcarrier phase history this path does not feed it, so it is not
used here and is never impersonated.
- `mediatek-amplitude-heuristic-v0` (CLAIMED, no labelled evaluation):
presence and motion from per-device mean and peak amplitude over a 10 s
time window (not a sample count, because arrivals are bursty).
Hysteresis means one dip cannot flip the room to absent. Below a
confidence of 0.3, a device reports `unknown` and abstains from the
room vote rather than asserting "absent".
`SensingUpdate.classifier` names it; `nodes[].device_id` and
`nodes[].mediatek_diagnostics` say why each device reads as it does.
- `activity-index-v0` (CLAIMED): a fast/slow fluctuation index against
each device's own baseline, plus an absolute level against a learned
quiet floor. It is served in `SensingUpdate.activity` and
`GET /api/v1/csi/mediatek/activity`, with
`is_occupancy_estimate: false` on every block. `--activity-state <path>`
persists learned floors across restarts.
- The summary endpoint adds the heuristic's window statistics.
- The MQTT per-node topics key on `device_id` when it is present, so two
64-bit receiver ids cannot collide on `node_id` 0.
Developed in whitsentry, a RuView-based project.
Co-Authored-By: claude-flow <ruv@ruv.net>
The server kept one MediaTek snapshot in total, so two MT7981 receivers
overwrote each other, and `--source mediatek` fell through to the
catch-all source plan and bound no UDP socket at all.
- `--source mediatek` binds the UDP receiver and does not start the
ESP32-shaped simulator, which has no MediaTek branch and would otherwise
publish a simulated room classification next to real frames.
- Snapshots are kept per `device_id`.
`GET /api/v1/csi/mediatek/devices` lists them with `age_ms` and drops
any device silent for over 30 s.
- A bounded per-device ring (`--csi-ring`, default 256 frames, about
0.5 MiB for a 2x2 device at 64 subcarriers) keeps per-chain,
per-subcarrier amplitude and phase. It serves
`/devices/:device_id/frames` and `/devices/:device_id/summary`. Chains
are keyed by (tx, rx) identity, so a device that interleaves 1x2 legacy
and 2x2 HT frames is reported correctly.
- New provenance label `mediatek:physical-unvalidated` for real-silicon
frames that are not calibrated. `SYNTHETIC` still takes precedence over
every other flag. Plain `mediatek` stays reserved for calibrated frames.
No classifier changes in this commit.
Developed in whitsentry, a RuView-based project.
Co-Authored-By: claude-flow <ruv@ruv.net>
A real MT7981 (WL-WN586X3, MT7981B + MT7976C) CSI report arrived with
rx_mode = MT_PHY_TYPE_OFDM for a 2.4 GHz client. The MTC1 PpduType had no
pre-HT value, so a bridge had to drop the frame. MediaTek's CSI driver
treats legacy OFDM as its own tone-mask group, and association traffic is
legacy-rate, so these frames are routine rather than a corner case.
Add PpduType::Legacy = 6 and PpduType::Unknown = 7. Values 1-5 and the
72-byte header are unchanged. A decoder built before this change rejects
6 and 7 as UnknownPpduType (fails safe, drops the frame), so MTC1
consumers need a rebuild.
ADR-267 gains Amendment 1 recording the change, its compatibility, and the
observed 1x1x64 dimensions of the motivating capture. The capture is not
in the tree: it holds a client transmitter address and raw CSI.
Developed in whitsentry, a RuView-based project.
Co-Authored-By: claude-flow <ruv@ruv.net>
Nodes not named in --node-positions report [2.0, 0.0, 1.5], and the boot
line counts parsed entries whether or not any matches a live node id. A
config keyed by the wrong ids looked applied and did nothing.
- WARN once per node id when a fresh node has no configured position,
naming the configured ids (INFO when no positions are configured).
- /api/v1/nodes: add position_configured per node.
- /api/v1/status: add node_positions with configured_node_ids,
default_position and default_position_node_ids.
- At boot, WARN that entries without a node_id: prefix are keyed by list
index from 0, with the entry -> node mapping. Semantics are unchanged.
Co-Authored-By: claude-flow <ruv@ruv.net>
Since ADR-296 the sensing server binds its UDP receiver to 127.0.0.1 by
default, and docker-entrypoint.sh never set a UDP bind. Inside a
container that address cannot receive from the published 5005/udp port,
so the default image never shows a node (#2089, follow-up to #1394).
The entrypoint now binds UDP on 0.0.0.0 only when the operator has set
an ADR-296 source guard (RUVIEW_UDP_ALLOW, RUVIEW_UDP_INSECURE_LAN, or
the matching CLI flags). Without a guard it keeps the loopback bind and
prints a note explaining why no node will appear and what to set,
including the macOS bridge-gateway allowlist. An explicit RUVIEW_UDP_BIND
or --udp-bind still wins.
I chose this over defaulting the bind to 0.0.0.0 unconditionally. With
no guard that would make the server refuse to start (exit 1) in auto
mode, which binds UDP, and the guard would still have to be supplied. The
change keeps ADR-296's fail-closed rule as is: a routable bind never
happens without an allowlist or the explicit insecure opt-in. Auth
defaults are unchanged.
The entrypoint also normalizes RUVIEW_UDP_INSECURE_LAN=1/yes/on to true,
since clap rejects 1 for that flag.
The compose service passes RUVIEW_API_TOKEN, the RUVIEW_UDP_* variables
and SENSING_ALLOWED_HOSTS through from the shell, with notes on the
exit-64 auth check, the macOS gateway allowlist and the 421 Host check.
The README and user-guide Docker quickstarts now set a token, and the
user guide gains a "Receiving ESP32 frames in Docker" section.
Co-Authored-By: claude-flow <ruv@ruv.net>
clap's default bool parser only takes true/false, so
RUVIEW_UDP_INSECURE_LAN=1 exited 2 with "invalid value '1'". Add a
shared parse_env_bool value parser (1/0, true/false, yes/no, on/off,
case-insensitive; anything else is still an error) and apply it to every
bool+env flag: RUVIEW_UDP_INSECURE_LAN, RUVIEW_NO_MDNS,
RUVIEW_NO_EDGE_REGISTRY, RUVIEW_MQTT, RUVIEW_MQTT_TLS,
RUVIEW_PRIVACY_MODE and RUVIEW_MATTER. The bare --flag form is
unchanged.
The Docker entrypoint now accepts RUVIEW_ALLOW_UNAUTHENTICATED=
true/yes/on (any case) as well as 1.
Fixes#2091
Co-Authored-By: claude-flow <ruv@ruv.net>
The multi_node_test UDP smoke tests sent synthetic ADR-018 CSI and
vitals frames to 127.0.0.1:5005, the sensing server's default port.
Because the tests are not ignored, a routine `cargo test` (and
scripts/prove.sh) could inject up to 255 fake node IDs into a locally
running server, and the hardcoded port could collide with other
processes.
Each test now binds its own receiver on 127.0.0.1:0 and sends to the
OS-assigned address, keeping the receiver alive for the test's
duration. The tests still only exercise the sender and frame-builder
path; no server is involved.
Ported from whitsentry, a RuView-based project, which carries the same fix.
Closes#2086
Co-Authored-By: claude-flow <ruv@ruv.net>
--dry-run persisted the merged state record, so the next real run merged
on top of values that never reached the device. It now skips save_state.
The NVS binary is still written to nvs_provision.bin because ADR-061 and
scripts/qemu-mesh-test.sh consume it.
--reset deleted the per-port state file before argument validation, so a
run that then failed (e.g. missing WiFi credentials) still lost the record.
It now only ignores the prior state; a successful flash overwrites the file
as before.
Also fix the module docstring's package name: the PyPI package is
esp-idf-nvs-partition-gen, matching the runtime hint.
Fixes#2096
Co-Authored-By: claude-flow <ruv@ruv.net>
Runtime classification is per node, from that node's own features and
amplitudes. The trainer instead built one sample per recorded line from the
fused frame-level features plus the first node's amplitudes, so a model
trained on a multi-node recording learned a different input distribution
from the one it is later asked to classify.
- load_recording now emits one sample per node per new frame, from that
node's node_features entry and amplitude vector. A node contributes only
when its amplitude vector changed since the previous line (every broadcast
snapshots all nodes), and stale nodes are skipped. Lines without
node_features (older single-node recordings) fall back to the frame-level
features.
- Runtime subcarrier statistics use the same 56-subcarrier window that
sensing_update, and therefore every recording, stores
(RECORDED_AMPLITUDE_LEN, now shared with the broadcast in main.rs).
- The trainer stamps model version 2 (TRAINED_MODEL_VERSION), so a freshly
trained model consumes the measured temporal dominant frequency (ADR-356)
instead of being switched to the legacy subcarrier proxy at runtime.
- The training accuracy log line is labelled in-sample and printed as a
percentage (it printed the 0..1 fraction with a % sign).
Tests: cargo test -p wifi-densepose-sensing-server --no-default-features:
bin 337 passed (5 new node_sample_tests), lib 539 passed,
integration tests pass. Clippy reports nothing on the changed lines.
Co-Authored-By: claude-flow <ruv@ruv.net>
Add --udp-tee / RUVIEW_UDP_TEE: every datagram the source allowlist admits
is copied unchanged to up to four loopback targets, so a fusion host or
Cognitum cog can read full I/Q, sequence numbers and sync packets without
binding the CSI port. Targets must be loopback and may not reuse the
listener port or port 0. Sends are non-blocking and drops are counted. Off
by default.
Tests: cargo test -p wifi-densepose-sensing-server --no-default-features
--lib udp_tee (6 passed) and --bin sensing-server (332 passed). Loopback
smoke test of the debug binary: a 288-byte datagram sent to the UDP port
arrived byte for byte at the tee target, and a non-loopback --udp-tee
target made the server exit 1 with "must be a loopback address".
Co-Authored-By: claude-flow <ruv@ruv.net>
Records the decision behind the two preceding firmware commits: why an
OTA'd image has to confirm itself, the health signals (STA IP plus one CSI
frame accepted by the stream sender), the 30 s minimum uptime and 120 s
deadline, the FORCE_FAIL test hook, ota_state in /ota/status, and the httpd
stack sizing.
MEASURED 2026-09-29:
- ESP32-S3 (16 MB, rollback bootloader): OTA push to ota_1, HTTP 200;
"httpd stack after POST /ota: 4900 of 8192 bytes never used";
pending_verify then valid; still valid on ota_1 after a hard reset.
A FORCE_FAIL build pushed to ota_0 rolled back to ota_1 after ~30 s.
- ESP32-C6 (4 MB layout, rollback bootloader): push to ota_1, HTTP 200;
pending_verify then valid ~28 s later; still valid after a hard reset.
Not yet verified: the 120 s no-IP timeout path, a true power cycle (an RTS
hard reset was used), and forced rollback on the C6.
Numbered 379: main has up to ADR-378 and open PRs claim nothing higher (2026-10-02).
Co-Authored-By: claude-flow <ruv@ruv.net>
With authentication enabled, collect-ground-truth.py could not start a CSI
recording: it sent no bearer token. It also treated any HTTP 200 as success,
but the recording endpoints answer 200 with {"success": false, "error": ...}
for refusals such as "recording already in progress". Either way it went on
capturing camera keypoints with no paired CSI and only printed a warning.
- Read the token from --token-file, else RUVIEW_API_TOKEN, and send it as
Authorization: Bearer on start and stop.
- post_json() returns False when the body says success: false.
- Name the CSI recording gt_<timestamp> so it pairs with
keypoints_<timestamp>.jsonl.
- Exit with an error when the recording cannot start, unless
--allow-no-csi is given.
Tests: py_compile; scripts/tests (15 passed); a local smoke test against a
stub HTTP server checked the bearer header, the request id, the
success:false refusal, and token precedence (file, then env).
Co-Authored-By: claude-flow <ruv@ruv.net>
On macOS 27, without Location Services, CoreWLAN redacts both the SSID and
the BSSID, while rssi, noise and channel stay real. resolve_bssid abstained
when both identities were blank, so every macOS scan was dropped and
`--source wifi` silently produced nothing.
- mac_wifi --scan-once marks its sample `"connected": true`. It is always the
single connected link, so a synthetic id cannot merge two networks.
- A redacted connected sample gets a stable locally administered synthetic
BSSID; the SSID stays empty. Unmarked redacted lines still abstain.
- `--source auto` that resolves to host WiFi now also binds UDP, and wifi_task
yields while the source is a live esp32, so ESP32 nodes that start after
the boot probe still promote the source (the #1004 rule). Without this, the
fix would make stock Macs ignore late-starting nodes.
- A missing helper is reported once, with the build command.
- ADR-025: Updated row + Amendment 1 recording the measured behaviour.
Measured on macOS 27: --source wifi gives source wifi:unnamed with sensing
ticks advancing; --source auto on a quiet port starts on wifi with
udp_receiver=true and promotes to esp32 (5 nodes) when real frames arrive.
Tests: wifiscan 158+1, sensing-server bin 332, all passing.
Co-Authored-By: claude-flow <ruv@ruv.net>
training_api loaded `{id}.csi.jsonl` in a flat {subcarriers, rssi} schema,
but the recorder writes `{id}.jsonl` sensing_update lines (nodes[] amplitude,
node_features[]). Training on a real recording therefore saw zero frames
(#1703).
- Accept sensing_update lines as well as legacy flat frames; try `{id}.jsonl`
first, then `{id}.csi.jsonl`.
- Emit one frame per node per update, skip repeated snapshots and nodes
without amplitudes, and keep frames grouped by node (stable sort).
- RecordedFrame gains an optional node_id; temporal features (window, prev)
only use frames from the same node.
- Malformed lines are counted, not fatal.
Tests: recording_format_tests (4 new);
cargo test -p wifi-densepose-sensing-server --no-default-features
--bin sensing-server: 336 passed, 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
Rollback-enabled nodes (CONFIG_BOOTLOADER_APP_ROLLBACK_ENABLE=y) boot an
OTA'd image as PENDING_VERIFY, but nothing called
esp_ota_mark_app_valid_cancel_rollback(), so every OTA reverted at the next
reset, a second OTA was refused until then, and a bad image was never
deliberately rolled back.
- main/ota_health.{c,h}: at boot, if the running image is PENDING_VERIFY,
poll for STA got-IP and >=1 CSI frame accepted by the stream sender.
Confirm after CONFIG_OTA_HEALTH_MIN_UPTIME_S (30 s) once both are in;
roll back via esp_ota_mark_app_invalid_rollback_and_reboot() if they are
not in by CONFIG_OTA_HEALTH_TIMEOUT_S (120 s from boot). VALID, UNDEFINED,
NEW and no-otadata/factory images are left alone. The decision is a pure
header function, host-tested in test/test_ota_health.c (make host_tests).
- CONFIG_OTA_HEALTH_FORCE_FAIL (test only) rolls back where it would have
confirmed, for proving rollback on hardware.
- GET /ota/status reports ota_state so durability is visible remotely.
- RUNBOOK: replace the nonexistent ota_rollback_boot_check() claim and
document the behaviour and the hardware check (2.1).
Hardware-verified on an ESP32-S3 (push, confirm, hard reset, forced
rollback) and an ESP32-C6 (push, confirm, hard reset); see ADR-379, next in
this series. Host tests: make host_tests passes, including run_ota_health.
Co-Authored-By: claude-flow <ruv@ruv.net>
MEASURED 2026-09-29 on an ESP32-S3 (v0.8.12, 16 MB): every POST /ota of a
valid 1,228,672 B image died with "stack overflow in task httpd" and
RTC_SW_CPU_RST, so no OTA had ever completed on this firmware.
- ota_update.c: set config.stack_size = CONFIG_OTA_HTTPD_STACK_SIZE (new
Kconfig, default 8192; HTTPD_DEFAULT_CONFIG gave 4096). Move the 1 KB
receive buffer off the stack into a static (handlers are serialised on
the one httpd task). Integer progress percent instead of %f.
recv_wait_timeout stays 30 s.
- Log the httpd stack high-water mark after every POST /ota and
POST /wasm/upload so the size rests on device data.
- wasm_upload.c: GET /wasm/list builds its 2 KB JSON on the heap.
- RUNBOOK §3 (over the air) records the failure and the high-water-mark
log line.
Device check after the fix (same S3): "httpd stack after POST /ota: 4900 of
8192 bytes never used", i.e. about 3.3 KB peak. The ADR with the full
hardware evidence follows in this series (ADR-379).
This overlaps PR #1594, which raises the same stack. If #1594 lands first,
drop this commit; the rest of the series does not depend on it.
Co-Authored-By: claude-flow <ruv@ruv.net>
compute_verifier returns the minimal big-endian encoding, so about one
provisioning in 256 produced a verifier with a zero top byte, encoded to
383 bytes, and failed the store's own 384-byte check
("SRP verifier must contain exactly 384 bytes"). Seen in CI on
first_provisioning_returns_code_but_restart_does_not. Left-pad to the
3072-bit group width at creation: the same number, the fixed length.
Co-Authored-By: claude-flow <ruv@ruv.net>
Bump the harness and the umbrella (which pins it), point README and the
user guide at 0.9.1, sync the stale lockfile header (0.5.1, old bin name)
with package.json, and add a plain-language changelog entry for the
live sensing views in Claude Code (ADR-377, ADR-378).
Co-Authored-By: claude-flow <ruv@ruv.net>
- Stale frames shown as live: spectrumWith now keeps only nodes in the
latest capture, so a node that stops streaming (or a failed capture)
leaves the waterfall and the "no CSI frames" card returns.
- Multi-antenna ESP32 nodes never reached the waterfall: with --spectrum
the parser adds chain-0 amplitudes (ADR-018 antenna-major) in a separate
field the SpectrumCollector reads; the kernel path is unchanged.
- Frames from different CSI layouts could be joined: spectrum results
carry their shape, and frames merge only when shape and bins match.
- Animation ran on assumed time: frames read the real clock (the one the
full render uses), so pulses keep the reported rates and the replay
keeps up when a frame fires late; replay lag is pruned with the nodes.
Tests: regression tests for each; npm test 193 pass, test:security 91
pass, engine tests 4 pass, validate passes.
Co-Authored-By: claude-flow <ruv@ruv.net>
Hotkeys reach a pane only while it holds the keyboard, and `focus` alone
was not taking it. The engine's documented dialog form does: open with
focus + closeOnEscape + holdToasts (Escape closes, as originally). Each
open also requests `rows` for its view (overview 16, waterfall 30,
radar 26) so the inline pane opens tall enough for the bordered design
instead of a third of the screen; switching views re-requests the size,
and picture heights leave room for the chrome (rows - 15).
Co-Authored-By: claude-flow <ruv@ruv.net>
The compact inline layout read as broken next to the bordered cards the
user prefers; restore the previous design (78a147405). This reverts
commit 629e1b9c6.
Co-Authored-By: claude-flow <ruv@ruv.net>
Outside fullscreen the pane sits inline above the prompt with a few rows,
so the bordered cards, rule and footer were cut off (Refresh/Close never
visible). Inline (or under 18 rows) the pane is now compact: views and
actions share the top row, no borders/rule/gaps, pictures sized to the
rows left, radar readings beside a small fan. The top row always says
whether the pane holds the keyboard ("keys active · Esc returns them" or
"click the pane or press ctrl+x tab to use the keys").
Co-Authored-By: claude-flow <ruv@ruv.net>
Button hotkeys reach a Pane only while it holds the keyboard; the pane
opened without it, so 1/2/3/r/c went to the prompt. Open (and
/ruview waterfall|radar) now request `focus: true`; closeOnEscape is
dropped so Escape hands the keys back without closing; an unfocused pane
shows "click the pane or press ctrl+x tab to use the keys".
Co-Authored-By: claude-flow <ruv@ruv.net>
The /ruview pane gains three views (keys 1/2/3) drawn in terminal Rasters
and animated in place with $.ui.blit (~12 fps, no redraws):
- CSI waterfall: per-subcarrier amplitude over time from the new
`esp32 --spectrum` capture, two frames per row via the half block,
5-95th percentile colour limits, replayed at the frames' arrival rate,
labelled MEASURED or SYNTHETIC from the packets' own flag; n cycles nodes.
- Radar: a 120-degree range fan with rings, a fading distance trail and a
sonar ping to the measured range; braille heart/breathing/distance charts
scaled to the data; a heart and breathing gauge that pulse at the
device-reported rates ("a metronome, not a waveform").
- A shimmer rule under the title; surfaces without Raster get a note.
Harness: captureEsp32 / ruview_esp32_capture take spectrum,
spectrum_bins (8-128) and spectrum_frames (8-256): a bounded ring of
binned amplitude frames per node, dominant shape, rate and synthetic flag.
The mod is split into model/raster/anim/views/register (own-file imports
only). Tests: 11 showcase + 11 mod Node tests, a --spectrum loopback test,
4 engine tests (waterfall tab sends --spectrum, draws the Raster, blits);
npm test 189 pass, test:security 90 pass, manifest verified, validate passes.
Evidence: MEASURED on an ESP32-C6 (COM11, release c6-adr110 v0.7.0, node 6)
streaming 7-18 Hz CSI to this host; a 1x256 capture renders the occupied
band against guard/null tones. Unpacked budget 384 -> 448 KiB (+~37 KB).
Co-Authored-By: claude-flow <ruv@ruv.net>
- Header: RuView + LIVE/STALE badge (fresh within 2 refresh periods),
"updated <time> (Ns ago)", a 5 s redraw tick keeps the age current.
- Bordered cards for the radar and the CSI nodes, side by side from 100
columns, stacked below.
- Radar: PRESENCE DETECTED (+ target count) in green; distance, heart and
breathing with per-refresh sparklines; device-reported vitals outside
resting ranges (heart 40-180, breathing 4-40 bpm) are flagged in yellow
instead of shown as fact (the live kit reported breathing 1.0 bpm).
- Nodes: per-node rate sparkline; "no packets" is a short hint in the card
rather than a long top alert (status no longer counts it as an alert);
an unconfigured radar says how to configure it.
- Buttons show their hotkeys.
Tests: 11 Node unit tests, 3 engine tests (mounted pane validates on the
terminal surface), validate passes.
Co-Authored-By: claude-flow <ruv@ruv.net>
A hot reload (or a resumed session) re-runs register with fresh variables
while the engine keeps the pane open, so no timer ran and the pane stayed
on "waiting for the first capture". Drawing the pane now resumes polling
when no timer is running. Engine test mounts the pane with no /ruview in
the module instance: fails without the fix, passes with it.
Co-Authored-By: claude-flow <ruv@ruv.net>
$.clock.now() resolves a promise of epoch milliseconds; refresh passed the
promise into the model. Await it, and have the pane print "—" for any
non-finite timestamp. Seen live in Claude Code 2.1.287 (/ruview pane).
Regression tests fail without the fix (2/2) and pass with it.
Co-Authored-By: claude-flow <ruv@ruv.net>
- mod/: a Claude Code mod (function hooks). /ruview opens a pane beside
the transcript with CSI nodes (rate, loss, RSSI, shape, SYNTHETIC) and an
optional ESPHome radar (presence, distance, device-reported vitals),
alerts (heartbeat-only boards + buffer-starvation hint), Refresh/Close
buttons and a one-line status; refreshed on $.clock.every.
- Reads only through the harness CLI beside it (fixed read-only argv,
--json) located via $.plugin.root (mods may import nothing else).
- Packaged in @ruvnet/ruview (mod/.claude-plugin, mod/hooks), listed in the
repo marketplace as ruview-live@ruview; `ruview mod` prints how to load it.
- @ruvnet/ruview 0.9.0; umbrella ruview 0.9.0 (still unpublished).
Verified: claude plugin validate (mod + marketplace); claude plugin test
2/2 x3 runs; harness 172 tests + 89 security; real Claude Code headless
`/ruview refresh` from an installed tarball and with the live radar kit.
Co-Authored-By: claude-flow <ruv@ruv.net>
- harness/ruview-umbrella -> npm `ruview` 0.8.0: one CLI and one MCP server
for the operator harness, Homecore and the vitals kernel. `ruview homecore
...`, `ruview kernel <doctor|info|selftest|parity|synth|analyze|bench>`,
`ruview capabilities`; everything else delegates to @ruvnet/ruview. MCP
serves ruview_* + homecore_* tools and the ui:// console (stdio + HTTP).
- @ruvnet/ruview 0.8.0: bin renamed `ruview-harness` (the umbrella owns
`ruview`; a clean tarball install showed the bin collision). New exports
(cli, cli-ui, mcp, mcp-http, ui, esphome, kernel); injectable MCP handler;
kernel as optional peer + setKernelImporter so the kernel resolves from
the umbrella's tree under linked/pnpm installs.
- mmwave --source esphome: dependency-free read-only ESPHome native API
client (private hosts only; encrypted/password APIs reported). Live Seeed
MR60BHA2 kit: presence, distance, device-reported HR/BR (MEASURED).
- monitor detects Ameba CSI buffer starvation; radar views in terminal UI
and console widget.
- homecore 0.1.0 and @ruvnet/ruview-kernel 0.1.0 gain ./cli exports.
Gates: harness 166 + 89 security, homecore 27 + 23, kernel 21 + 12,
umbrella 4; clean-dir tarball install smoke incl. live radar over HTTP MCP.
Local publish is a one-off exception to ADR-265 D2, recorded in ADR-376.
Co-Authored-By: claude-flow <ruv@ruv.net>
Live RTL8721Dx capture (node 3, COM10) reported 97% loss: one stray
sequence value (+52,835, then straight back) was counted as 52,834 lost
frames, and every late UDP packet re-counted its gap. The tracker now
treats a single out-of-window value as a stray, needs two agreeing frames
to accept a counter reset, and lets a late packet fill its own gap
(seqReordered / seqStrays / seqResyncs in the summary). Against ground
truth on the live board (unique sequence numbers over the span): 4,783 of
4,783 present, loss 0, 9 strays; the tracker matched both.
ADR-373 Amendment 2 records the live Realtek run: devices -> realtek,
7,404/7,404 packets decoded, monitor at 1500000 baud without a reset, and
12,549 live frames analyzed by the WASM kernel.
Co-Authored-By: claude-flow <ruv@ruv.net>
runProcess() ends the child's stdin with no error handler. A child that
never reads stdin (git check-ignore) can exit and close the pipe before the
write flushes; the unhandled EPIPE then crashes `agent.mjs validate`. This
failed harness/ruview (node 22) on PR #2062 and reproduces 12/12 locally
under CPU load (0/12 after this change). The command's real outcome is
still reported by the 'close' handler; this mirrors the existing handler in
harness/ruview/src/process-runner.js.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015H55jmprfz4oHWXSFbX5rf
The flash flow's boot-log capture decoded serial lines and wrote text to a
stdout that the scrubbed child env leaves on cp1252. The ESP32-C6 release
firmware logs U+2192, so the capture died mid-boot (bootLog.captured=false);
an earlier abort would have hidden the CSI evidence and reported a good
flash as unvalidated. Write raw bytes instead. Regression test forces
PYTHONIOENCODING=cp1252 through a stand-in serial module (fails without
the fix). ADR-373 Amendment 2 records the real C6 flash evidence.
Co-Authored-By: claude-flow <ruv@ruv.net>
Findings from a hardware run of this branch against an RTL8721Dx board
(PL2303GC) and an ESP32-C6 (CP210x) on Windows 11:
- esp32 capture decodes Realtek RAC1 (ADR-323, CRC-verified, 8/16-bit
tones) and RHB1 heartbeats, ADR-110 sync and ADR-081 mesh packets, and
reports every CSI shape a node sends.
- Capture fails (no_decodable_packets / heartbeat_only) instead of
returning ok:true + MEASURED when nothing decodes; names
heartbeat-only senders.
- --analyze runs live single-antenna CSI through @ruvnet/ruview-kernel at
the measured frame rate with a bounded buffer.
- monitor opens the port with DTR/RTS deasserted (no node reboot), takes
--baud, and explains the C6/S3 USB-Serial/JTAG console.
- devices classifies Prolific 067B:23A3 as a Realtek board.
- Windows: owner-only ACL on the hosts file (fails closed); symlink test
skips only where Windows refuses symlinks.
- kernel build names uninitialized submodules when cargo fails.
- Parser ~3.2x faster (MEASURED, 0.42-0.52M -> 1.33-1.67M packets/s).
Co-Authored-By: claude-flow <ruv@ruv.net>
CI fixes (both failures on PR #2062 were in this branch):
- harness/ruview: remove `2.11.0` literals from training remedies; the
ADR-265 D3 version-literal gate rejects them.
- ruview-kernel workflow: install wasm32 for the toolchain pinned by
v2/rust-toolchain (the action only added it to `stable`); build.mjs now
fails fast with the exact `rustup target add` remedy.
Kernel optimization (ADR-368 amendment):
- New `analyze_flat` / `session_push_flat` ops via `call_f64`: WASM
`rvk_call_f64` (alignment-agnostic bytes) and napi `callF64(Float64Array)`.
`analyze()`/`session.push()` pack uniform frames automatically; irregular
input keeps the JSON path and its per-frame errors. `analyzeFlat()` is the
zero-copy entry. Shared `Session::step` makes both paths byte-identical on
identical f64 inputs (Rust test), and the binary path avoids serde_json's
non-correctly-rounded float parsing.
- MEASURED (`ruview-kernel bench --seconds 120`, one Linux x64 host):
2.82x (wasm) and 2.45x (napi) faster than the JSON transport.
- Profiled remaining cost (examples/profile_stages.rs): heart-rate ACF in
wifi-densepose-vitals dominates; left for a separate, output-reviewed
change. Rejected WASM +simd128 and opt-level=s after three measured runs
(bench/wasm-variants.mjs).
Device e2e (ADR-373 amendment):
- test/e2e/devices.e2e.mjs + `npm run test:e2e:devices` + new workflow
ruview-device-e2e.yml: pty-emulated MR60BHA2 and RPLIDAR through real
pyserial, a UDP ESP32 node, and the real iPhone relay, via the CLI.
- mmWave auto-detect keeps probe frames and reads only the remainder;
iPhone LiDAR gains max_frames and returns immediately when refused.
Suite wall time 19.6 s -> 5.6 s (MEASURED, dev container).
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015H55jmprfz4oHWXSFbX5rf
@ruvnet/ruview 0.7.0 gives CLI, MCP, and SDK access to RuView sensing
hardware on the machine it is attached to, and to other machines over SSH.
Devices (ADR-373, src/devices/):
- ruview_devices_scan: pyserial port list classified by USB VID:PID
(Espressif native USB, CP210x, CH34x, FTDI) into ESP32 / mmWave / RPLIDAR
roles with the command that confirms each.
- ruview_esp32_capture: receive-only UDP listener parsing ADR-018 CSI
frames, vitals, and the other 0xC511000x packets per node: rate,
sequence loss, RSSI, subcarriers, frequency, device vitals.
- ruview_mmwave_read: MR60BHA2 (60 GHz) and LD2410 (24 GHz) parsers ported
byte-for-byte from firmware mmwave_sensor.c; baud/frame auto-detect.
- ruview_lidar_read: RPLIDAR SCAN over serial (start/stop, DTR best-effort)
and the iPhone LiDAR relay as a WebSocket client (token only via
RUVIEW_LIDAR_TOKEN; statistics only, never raw depth).
- Dependency-free serial via a fixed pyserial pump (argv-only, bounded,
hex output immune to secret redaction). Schema-level port pattern
validation added to the policy validator.
- All device tools require the new `device-access` MCP grant.
Remote hosts (ADR-374, src/remote.js):
- ~/.config/ruview/hosts.json (0600), CLI-only `hosts add`; strict
name/target validation against ssh option and shell injection.
- `ssh -o BatchMode=yes -o StrictHostKeyChecking=yes -- <target>` running a
version-pinned `ruview call <tool> --read-only`, every token single-quoted;
read-only enforced locally and remotely; no mutations, credentialed reads,
or host hopping. MCP needs `remote-host` plus the remote tool's grant.
Also: device-access skill, doctor `devices`/`remote` groups, SDK
`devices.*`/`hosts.*` with types, generic `ruview call` verb, guidance
capability, 320 KiB package budget, CI smoke expects 22 tools.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015H55jmprfz4oHWXSFbX5rf
@ruvnet/ruview 0.6.0 turns the harness into a complete npm operator
surface: one policy-checked tool registry behind the CLI, the MCP server,
and a new typed SDK.
- SDK (ADR-369): `@ruvnet/ruview/sdk` createRuView() with doctor,
firmware.{ports,plan,flash,monitor}, training.{plan,run,gate,calibrate},
kernel.{selfTest,load}, guidance/claimCheck/verify/spaces; strict mode
throws RuViewError; TypeScript declarations in src/sdk.d.ts.
- Firmware (ADR-370): cross-platform `python -m esptool` flashing replaces
the Windows-only stub. SHA256SUMS verification (mismatch always fatal),
bundle containment, variant/partition checks, argv-only command, chip_id
preflight that refuses a mismatched chip, boot-log capture;
hardwareValidated only when CSI callbacks appear without a panic.
Read-only ruview_firmware_plan / ruview_firmware_ports.
- Training (ADR-371): ruview_train / ruview_train_plan run pose-smoke,
pose (MM-Fi), or room training from the trusted checkout with in-repo
paths only, logs/checkpoints under v2/target/ruview-train, and libtorch
remedies. ruview_train_gate enforces mean-pose baseline, leakage-free
splits, subject/time disjointness, and evidence tagging.
- Doctor (ADR-372): structured pass/warn/fail/skip checks with remedies
across runtime, integrity, hosts, repo, Rust, Python/esptool, firmware
bundles, serial, sensing server, and the compute kernel; --json/--group;
hardware probe and network checks are CLI/SDK-only.
- Plan tools cannot take `confirm`; acting tools keep grant+confirm over
MCP. Policy files and TOOL_POLICY are drift-tested.
- Unpacked budget 160 KiB → 224 KiB in both npm workflows; CI tarball smoke
now checks the SDK and the training gate.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015H55jmprfz4oHWXSFbX5rf
Adds a portable RuView compute kernel for JavaScript, built from the Rust
source of truth and wired into the @ruvnet/ruview metaharness.
Rust
- v2/crates/ruview-kernel: bounded single-function JSON ABI
(call(op, json) -> envelope) over the ADR-021 wifi-densepose-vitals
pipeline: streaming sessions, batch analyze, deterministic SplitMix64
synthetic CSI (SYNTHETIC), bounded session registry, strict input
validation (deny_unknown_fields, width/finite/magnitude checks, size and
count limits). wasm32-only zero-import C ABI (rvk_alloc/free/call).
- v2/crates/ruview-kernel-napi: napi-rs transport exposing only
abiVersion()/call(); standalone workspace (excluded from v2) so napi never
enters `cargo test --workspace`; panic=unwind + catch_unwind.
npm (harness/ruview-kernel, zero runtime deps)
- loadKernel({backend: wasm|napi|auto}); WASM default (no host authority),
napi never silently falls back, auto reports fallbackReason.
- SHA256SUMS integrity verification; mismatch is always fatal; loader
rejects any WASM module that imports host functions.
- Browser-safe ./wasm entry; CLI doctor/info/selftest/parity/synth/
analyze/bench; build.mjs builds artifacts from source (no shell).
- Unit, security, and e2e tests (CLI round trip, cross-backend parity).
Metaharness
- New read-only tool ruview_kernel_selftest / `ruview kernel`: imports the
fixed optional package, fails closed with kernel_not_installed; policy,
claims, MCP policy, guidance capability, and manifest updated.
CI: .github/workflows/ruview-kernel-npm.yml builds both transports on
Linux/macOS/Windows, requires napi in tests, runs parity, verifies
artifacts, packs, and runs the cross-package e2e. No publish step.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015H55jmprfz4oHWXSFbX5rf
Verified on a physical ESP32-C6 (4 MB, esp32c6 defaults, ESP-IDF v5.4):
- App image: 1,085,424 B on main, 1,042,368 B with this change (43,056 B smaller).
- The 'Failed to find FATFS partition storage' error seen on every 4 MB C6 boot is gone.
- Wi-Fi join, CSI init and CSI UDP delivery to the host were confirmed.
CI: 35/35 green.
The new schema constant was defined and asserted as a raw string literal
directly in main.rs, which the semconv registry test scans and requires
every "ruview.*" literal there to be a registered attribute/event. This
isn't a tracing event, though -- it's a wire-schema tag structurally
identical to CALIBRATION_MODEL_RECEIPT_SCHEMA, which already lives in
field_bridge.rs specifically to stay out of that scan. Move the new
constant there and reference it by identifier from main.rs, matching the
existing precedent instead of hand-editing the generated semconv registry.
Co-Authored-By: claude-flow <ruv@ruv.net>
calibration_status unconditionally overwrote status with "none" whenever
active was false, which also erased the legitimate "expired" status for
a calibration that ran long ago and has since expired -- losing the
distinction between "never calibrated" and "was calibrated, now expired".
Fixes the pre-existing failure in
calibration_expiry_tests::long_running_expiry_is_not_reported_active_for_runtime_or_bootstrap,
called out as a known, unrelated gap in PR #1936.
Co-Authored-By: claude-flow <ruv@ruv.net>
`accept_grid` locks each node onto the densest grid it has seen and rejects
sparser frames from the feature path -- on an ESP32-C6 the ~16% HT 64-bin
minority that arrives alongside HE-SU 256-bin. `select_calibration_grid`
ordered candidates by `max_gap_s` first, so it preferred whichever grid
looked temporally smoothest. A sparse trickle at a metronomic cadence has a
smaller worst-case gap than a busy stream with one scheduling hiccup, so
selection kept choosing the grid admission is designed to discard.
Measured on four ESP32-C6 nodes: a capture bound 64sc on node 11, every node
then locked onto 256sc, the bound grid went stale with no frame for five
minutes, frame_count froze at 10,997 and `calibration_grid_is_fresh` failed.
The capture could never finalize -- `collecting` for 858 s with both minimums
long since met, no error surfaced, and a flickering UI as the client retried.
The same rig bound 256sc on a different capture and finalized with five
baseline eigenvalues.
Order by subcarrier count first so selection agrees with admission, then fall
back to the previous gap/rate/ppdu ordering to choose among equally dense
candidates.
Co-Authored-By: Ruflo & AQE
Claude-Session: https://claude.ai/code/session_01Qh7eir6C2U5CSwD7GR43Zv
A room binding may name several radios, and every one of them was admitted
into the field model. That model is single-link: one baseline, one set of
amplitude offsets. Averaging two radios' offsets into it flattens the
eigenstructure and leaves only a scalar energy threshold behind.
Measured on three ESP32-C6 nodes:
4-node binding baseline_eigenvalue_count 0, residual threshold 18.90,
empty room reported an occupant in 1162/1162 frames
1-node binding baseline_eigenvalue_count 5, residual threshold 3.65,
empty room absent 604/604, occupied present 616/616
`person_count_at` already refused to score a non-bound radio, calling it
"deterministic false occupancy from hardware-specific amplitude offsets" --
but only when exactly one node was bound. With more it fell through to the
shared mixed history, so the guard never fired in the case it described.
Restrict the baseline write, not the admission. Every bound radio is still
admitted and recorded as a contributor: `calibration_source_nodes_missing`
refuses to finalize until each one proves it is live on the frozen grid, so
gating them out of the feed path entirely deadlocks the capture -- measured
on hardware as 43,120 frames over 51 minutes stuck in `collecting` with
missing_source_node_ids=[12,13,14]. Only `maybe_feed_calibration` is
restricted to the grid-bound radio, and scoring follows that same radio
whatever the size of the room's node set.
This is the narrowing `bootstrap_baseline::store` already applies when it
persists `vec![binding.source_node_id]` as the frozen model source.
Co-Authored-By: Ruflo & AQE
Claude-Session: https://claude.ai/code/session_01Qh7eir6C2U5CSwD7GR43Zv
Assert the exact wire schema and every identity field the Mac app matches
against its model receipt, plus that evidence agrees with the server's own
person count. Pair the refusals (no receipt, bootstrap-only authority,
expired model) with the positive case so an absent value can never be read as
proof when the path is simply broken.
Co-Authored-By: Ruflo & AQE
Claude-Session: https://claude.ai/code/session_01Qh7eir6C2U5CSwD7GR43Zv
The Mac app gates its held-out empty-room check on
`calibrated_presence_evidence` carrying
`ruview.calibration.calibrated-presence-evidence.v2`. No shipped server has
ever emitted that key, so the check fails on its first iteration with "No
fresh calibrated presence result matched this room's current model receipt",
`bootstrap/promote` is never called, and `bootstrap_baseline::store` -- the
only path that persists a calibration -- never runs. A completed 62-minute
field model is therefore lost on the next restart.
Emit the evidence bound to the active model receipt. `None` unless an
explicit calibration is fresh and the field model scores the observation
without a heuristic fallback, so a present value is always calibrated.
Extract the field-model scoring history into `scoring_history()` and reuse it
for both `person_count_at` and the evidence, so the published evidence cannot
disagree with the count derived from the same model.
Co-Authored-By: Ruflo & AQE
Claude-Session: https://claude.ai/code/session_01Qh7eir6C2U5CSwD7GR43Zv
- mmwave_sensor: the default probe pins (UART1 TX=17/RX=18) put UART1 TX on
GPIO17, which is U0RXD on the ESP32-C6. Console input was dead on every C6
node even when no sensor was found, because uart_driver_delete() leaves the
GPIO matrix routing in place. C6 now defaults to GPIO4/5 and any pin pair
overlapping the console UART is refused.
- serial_onboarding_protocol: _POSIX_C_SOURCE for strtok_r under -std=c11
-pedantic (host tests on glibc).
- main/CMakeLists: explicit led_strip REQUIRES so builds work with the
component manager disabled (vendored components, offline builds).
- release_bins/c6-onboarding: 0.8.12 C6 images built with ESP-IDF v5.4.
Hardware-verified on an ESP32-C6 over cu.usbserial-3120 from the RuView Mac
app: flash -> RUVIEW_HELLO_V1 receipt -> RUVIEW_CONFIG_V1 -> node 3 live at
-34 dBm on the sensing server.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Rqz356q3Qz6sscTrpy5Jrv
node_log currently only has a FAT volume on the 16MB table
(partitions_16mb.csv), so it silently does nothing on the two chips
most of the fleet's OTA/CI surface actually exercises.
partitions_display.csv (8MB) ends at 0x600000 with 2.00 MB of flash
never allocated. Add a storage/fat partition filling exactly that
tail (0x600000 + 0x200000 = 0x800000, the full 8 MB with nothing left
over), so node_log has somewhere to mount on the s3/8mb profile.
partitions_4mb.csv has no equivalent room -- two 1.81 MB app slots
leave only 256 KB free, not enough for a FAT volume of any useful
size. Guard node_log.c's whole implementation on
CONFIG_ESPTOOLPY_FLASHSIZE_4MB and provide no-op stubs for every
entry point, so main.c's call sites need no #ifdef of their own.
Deliberately did not touch main/CMakeLists.txt: fatfs/wear_levelling
stay in REQUIRES, and with nothing left calling into them on 4MB,
--gc-sections drops both archives the same way it already drops
libespcoredump.a when coredump-to-flash is unused (measured at 0
bytes contribution).
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01PVWMiHQifoYXL7uL3bphrZ
* feat(firmware): add the 16MB flash profile the C6 fleet runs on
The 4MB and display layouts have 1.875MB and 2MB OTA slots, sized for 4MB
and 8MB parts. A 16MB C6 (DevKitC-1 N16) has no layout in the tree at all,
so building for one meant hand-editing sdkconfig -- and a smaller table
written over a deployed 16MB node relocates NVS and destroys its
provisioning, which is why this belongs in the repo rather than in a
workstation's untracked sdkconfig.
Two 4MB OTA slots, plus a 64K coredump partition and an 8000K FAT volume
for on-node storage. Rollback is enabled so an OTA'd image that cannot
confirm itself is reverted by the bootloader.
Layered, not inherited: sdkconfig.defaults.esp32c6 keeps its 4MB layout so
the common 4MB devkit is never silently repartitioned.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01PVWMiHQifoYXL7uL3bphrZ
* feat(firmware): persistent on-node log and coredump-to-flash
A remote fault currently leaves no post-mortem. main.c decodes the reset
reason at boot and logs it to the CONSOLE -- which is exactly what a power
cycle destroys, and a power cycle is how a wedged node gets recovered.
The flash was already provisioned for this and the features were simply off:
partitions_16mb.csv has reserved a 64K `coredump` partition and an 8000K
`storage` FAT volume since the 16MB layout was written, neither had ever been
mounted or written, and the build defaulted to CONFIG_ESP_COREDUMP_ENABLE_TO_NONE.
- node_log.c/h: a 128 B-record ring on the storage volume. Boot records
(reset reason + the previous session's final uptime + a health snapshot),
periodic health samples, and event records. Ordering is boot_id + uptime_s
because these boards have no RTC and nothing can be timestamped absolutely.
Counters are stored RAW and differenced at read time, so a cadence change
never invalidates old records. Retention, not wear, binds: 128 B every
300 s is ~208 days in 8 MB, and the write rate is bounded explicitly.
- ap_rssi_dbm, the association link from esp_wifi_sta_get_ap_info. The
adaptive controller's rssi_median_dbm is a CSI statistic, not the uplink,
so a node with a bad uplink currently shows no signal for it anywhere.
- CONFIG_ESP_COREDUMP_ENABLE_TO_FLASH, complementary rather than a
substitute: a coredump catches a CRASH, the boot record catches a HANG
followed by a watchdog reset.
node_log_init failing is non-fatal by design -- the module disables itself
and every entry point becomes a no-op. A logging volume that will not mount
must never take the fleet down with it.
csi_collector gains two gate accessors. This build selects its frame gate at
compile time, so both return CSI_GATE_NOT_CONFIGURABLE rather than a
plausible number: the log keeps a field of fixed width and meaning either
way, and an explicit "not applicable" is stored instead of something a
reader would later reason from as a real setting.
Built with ESP-IDF v5.4 for esp32c6 using
defaults + .esp32c6 + .16mb. Verified from the resulting artifacts: 16MB
table with coredump and storage present, COREDUMP_ENABLE_TO_FLASH set,
rollback enabled, image 0x10abd0 bytes in a 4M slot. NOT flashed to hardware
from this branch -- the equivalent code was exercised on a node-3 pilot, but
that is not evidence for this build.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01PVWMiHQifoYXL7uL3bphrZ
* docs(adr-362): reading the on-node log is on-demand, never streamed
The log engine lands with no consumer, so the access pattern was open. Records
the decision to pull a node's log only when a human asks -- after a hang or a
crash, or while troubleshooting that node -- and to keep nothing server-side.
The reasoning that decided it: the ring already survives a power cycle on the
node (~208 days of retention), so a server copy duplicates a durability
property that is already met; and airtime is this fleet's binding constraint,
measured at 91% consumed by two slow nodes, so a periodic drain across nine
boards would spend exactly the resource whose exhaustion you would open the
log to investigate. An instrument must not perturb what it measures.
Leaves the decode-where question open on purpose, with the argument for a raw
proxy stated: decoding server-side defines the record layout in both C and
Rust, and the pilot already paid once for a host/firmware disagreement about a
field's meaning.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01PVWMiHQifoYXL7uL3bphrZ
---------
Co-authored-by: Joe <joe@GitDev.hedgehog>
Co-authored-by: claude-flow <ruv@ruv.net>
The 4MB and display layouts have 1.875MB and 2MB OTA slots, sized for 4MB
and 8MB parts. A 16MB C6 (DevKitC-1 N16) has no layout in the tree at all,
so building for one meant hand-editing sdkconfig -- and a smaller table
written over a deployed 16MB node relocates NVS and destroys its
provisioning, which is why this belongs in the repo rather than in a
workstation's untracked sdkconfig.
Two 4MB OTA slots, plus a 64K coredump partition and an 8000K FAT volume
for on-node storage. Rollback is enabled so an OTA'd image that cannot
confirm itself is reverted by the bootloader.
Layered, not inherited: sdkconfig.defaults.esp32c6 keeps its 4MB layout so
the common 4MB devkit is never silently repartitioned.
Claude-Session: https://claude.ai/code/session_01PVWMiHQifoYXL7uL3bphrZ
Co-authored-by: Joe <joe@GitDev.hedgehog>
Co-authored-by: claude-flow <ruv@ruv.net>
A-B-A capture from the overnight run, ten 30 s windows per arm: pairing
fraction rises 0.5668 -> 0.7287 (Welch t=13.26, p<0.0001) when the fleet is
filtered to one transmitter, but paired observations/s falls 44% because
tx/s falls 56%. Fraction was the wrong figure of merit; not adopted.
Firmware changes (persistent on-node log, live filter_mac, and the node-3
pilot fixes) that produced this capture are held back pending a port against
main's restructured firmware/main/ tree (config_api.c and ota_update.c are
gone there).
Claude-Session: https://claude.ai/code/session_01PVWMiHQifoYXL7uL3bphrZ
Co-authored-by: Joe <joe@GitDev.hedgehog>
Co-authored-by: claude-flow <ruv@ruv.net>
The ESP32 edge-vitals packet (0xC511_0002) carries a raw i8 RSSI byte with
no "valid" flag. When the edge pipeline hasn't sampled a real reading yet,
it has been observed sending near-zero sentinel values (-1, -2 dBm) that
are physically implausible for a WiFi link. These were pushed straight
into the node's rssi_history and the room's fused mean_rssi, producing a
one-tick reading of ~-2 dBm on node 3 while its own CSI path simultaneously
showed a real ~-50 dBm signal.
Add an is_plausible_rssi() guard (mirroring the existing
update_csi_fps_ema() plausibility-filter pattern) so an implausible RSSI
falls back to the node's last known-good reading instead of overwriting it.
StreamingEngine owns its own MultistaticFuser instance -- a different one
from wifi-densepose-sensing-server's AppState, which was fixed for this
same class of bug in #1860. Nothing ever called set_node_positions /
set_node_positions_by_id on this instance, so every FusedSensingFrame
produced by the governed path (fuse_scored_calibrated, which feeds
provenance and the witness) carried every node's position as the origin
regardless of deployment configuration.
Adds StreamingEngine::set_node_positions(HashMap<u8, [f32;3]>), delegating
to the fuser's existing set_node_positions_by_id. Also fixes a related
hazard in set_multistatic_config: it rebuilt the fuser wholesale
(MultistaticFuser::with_config(cfg)), which silently discarded any
positions configured before it. It now preserves them across the rebuild,
so callers don't need to remember a specific ordering between the two
setters.
Two regression tests per the issue's own acceptance criteria: one calling
fuse_scored_calibrated directly and asserting each fused contribution
carries its own node's configured position, and one asserting positions
survive a later set_multistatic_config call.
Fixes#1870.
scripts/train-ruvllm.js ran two separate computations during contrastive
pretraining: ContrastiveTrainer.train() (a baseline pass that computes loss
but never updates the encoder) and a hand-written loop that actually applies
gradient updates to encoder.w2. The exported training-metrics.json took
lossHistory and contrastive.durationMs from the first (no-op) pass instead
of the second (real) one, so the published curve was flat/meaningless
(~0.1352 for all 20 epochs) and the duration was ~30x too short.
This did not affect finalLoss/improvement or the held-out temporal-triplet
accuracy metric published for this model on HuggingFace
(ruvnet/wifi-densepose-pretrained) -- those already came from the real loop.
It only affected the diagnostic curve/duration anyone auditing convergence
from the published JSON would see.
Also: config.json's training.steps field (epochs * triplets, technically
consistent but reads like an optimizer-step count) is now reported as
separate epochs/tripletUpdatesPerEpoch fields, and the exported version
bumped 1.0.0 -> 2.0.1 to match the "v2" naming already used elsewhere for
this file set.
Verified by re-running against the real capture
(data/recordings/overnight-1775217646.csi.jsonl): lossHistory now shows a
genuine decreasing curve (0.1037 -> 0.0654 across 20 epochs, matching the
already-published finalLoss exactly), durationMs reports the real ~40s
gradient-loop time instead of ~12s.
Model card updated with the same disclosure (docs/huggingface/MODEL_CARD.md)
plus a real, previously-undisclosed EWC forgetting-rate figure (32.97%,
present in training-metrics.json but not surfaced in the human-readable
card) and a corrected repro-script pointer.
`MultistaticConfig::for_tdm_schedule` set the soft guard to `cycle_us / 3`,
reasoned about in its own doc comment as "a normal adjacent-slot pair fuses
cleanly". But `fuse_scored` does not compare pairs -- it takes
`max(timestamp) - min(timestamp)` across the whole cohort, so the spread it
measures is always the first-to-last offset of `(N - 1)` slots.
Against that bound:
soft < stagger <=> N*slot/3 < (N-1)*slot <=> N/3 < N-1 <=> N > 1.5
which holds for every N >= 2. The derived soft guard never covered the schedule
it was derived from, at any fleet size, so a complete healthy cycle was recorded
as a `TimestampMismatch` contradiction -- which demotes the BFLD privacy class
one step (ADR-137 §2.7 -> ADR-141) and suppresses raw outputs.
The constructor's own doc example is the smallest demonstration. It exists to
accommodate a MEASURED 18,194 us spread on a 2-slot mesh, and asserts the hard
guard clears it -- but the soft guard it derives for that same mesh is
36,000/3 = 12,000 us, below the measurement that motivated the constructor.
Soft is now the designed stagger, `(slots - 1) * slot_duration_us`, plus the
same 20% jitter headroom the hard guard already takes. The headroom is not
cosmetic: the nominal 2-slot stagger is 18,000 us while the observed spread is
18,194 us, so a bare nominal bound would still flag its own motivating cycle.
`stagger < cycle` always, so the result stays strictly below the hard guard and
a spread approaching a full cycle is still flagged as loose alignment.
Why this survived: every existing assertion on `soft_guard_us` is relational
(`soft < hard`, `soft >= 1`). None ever compared it to a spread the schedule
actually produces. Three tests are added -- the derived guard clears the stagger
across 2..13 slots, a full evenly-staggered cycle raises no contradiction, and a
spread beyond the stagger is still flagged, so the fix cannot be mistaken for
disabling the check. The first two fail against `cycle / 3`; the third passes
either way by design.
Scope: this corrects the DERIVED path only. The hand-set defaults (60 ms hard /
20 ms soft) are unchanged and remain correct for the 2-slot mesh they were sized
against.
Software-only scope. No hardware-accuracy claim is made.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
`MultistaticFuser::fuse` addressed node positions by the frame's index in the
cohort it was handed. That index is a rank, not an identity: the cohort from
`node_frames_from_states_with_guard` is compacted -- stale, out-of-guard and
empty-history nodes are dropped before `fuse` ever sees them. So one board
missing a beacon re-ranked every node above it and handed each of them its
neighbour's coordinates, silently and fleet-wide.
`MultiBandCsiFrame` already carries its own `node_id`, so the identity was
present at the boundary and simply unused. Positions are now stored keyed by
node id and resolved per frame by that id.
- `set_node_positions_by_id` takes the keyed map; `main` passes the same
`node_positions_by_id` map that already feeds `NodeInfo`, so one parsed
identity now serves both the metadata and the effectful path (#1860 fixed
only the former).
- `set_node_positions(Vec)` is kept as a documented compatibility mapping:
entry `i` is node `i`, which is exactly what a bare `--node-positions` list
has always meant. `node_positions()` returns that dense view unchanged.
- `FusedSensingFrame::node_positions` stays parallel to `node_frames`, but each
entry is resolved from its own frame's id, so the pairing survives compaction.
Behaviour change: with a bare (unprefixed) `--node-positions` list on a fleet
whose ids are not dense and zero-based, a node now reads the entry declared for
its id rather than the entry at its rank. That is the defect being fixed; ids
given explicitly as `node_id:x,y,z` are unaffected, and so is any fleet whose
ids are dense from zero with every node reporting.
Tests: sparse ids, reversed configuration order, a configured-but-absent node,
an unconfigured node, join/leave churn, the preserved legacy positional
mapping, and a negative control pinning the compacted-cohort case. Six of the
eight fail against the pre-fix lookup; the legacy-mapping test is expected to
pass both ways, and order-independence became structural with keyed storage.
Software-only scope. No hardware-accuracy claim is made.
Closes#1866
Refs #1860
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
Records why device-free position kept failing here, measured rather than
argued, and the join key built in response. The implementing PRs land without
this and are harder to read for it.
**Phase is unusable on this hardware.** The bistatic tier needed a signed
per-link radial velocity, which requires the common-mode component of CSI
phase. Measured across three ESP32-C6 nodes over ~40,000 frames, the
frame-to-frame change in common-mode phase is statistically indistinguishable
from uniform random: resultant length R = 0.011-0.032 against a 0.000
reference, sd 1.78-1.81 against pi/sqrt(3) = 1.814, no lag-1 autocorrelation.
A second, unwrap-free estimator agreed.
The mechanism is packet-detection timing quantization. Common-mode phase is
-2*pi*f_c*tau, and one ADC sample of jitter at 20 MHz is about 758 rad -- some
120 full wraps, re-randomized every packet. Not calibratable. The bistatic tier
is default-off as a result.
**Amplitude works but had no parallax.** The three AP->node links leave a single
distant transmitter inside a 36.5 degree fan; scalar per-node energy weighting
closed with a clean negative result -- magnitude responds to proximity,
direction does not.
What follows from both: a position tier needs several transmitters seen from
several receivers, and fusing those requires knowing that two nodes observed
the SAME transmission. Arrival timestamps cannot say so -- the sink sees network
jitter, not capture time -- and the per-node sequence counter is private to each
node. Hence (tx_mac, rx_seq): the 802.11 sequence control field is assigned by
the transmitter and is identical at every receiver, so it names one
transmission without any coordination between receivers, no shared clock and no
negotiation.
Status is Proposed, deliberately. The measurement layer is implemented and
validated on hardware; localization is NOT built, and the ADR says so along
with the rest of its known limitations -- peer links are ~10x weaker than data
frames, three links is below the threshold for tomographic localization
regardless of quality, and no position tier consumes the link table.
References only ADR-018, ADR-060 and ADR-110, all already present here.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
Same reason as the operational content itself: a procedure nobody can find is a
procedure nobody follows. The README's documentation table is where a reader
looks, and the runbook was reachable only by browsing the firmware directory.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
The study was reachable only by knowing the file existed. Nothing in the repo
pointed at it, so a reader following the README would never learn that the
question had been measured at all.
Adds a row to the documentation table with the headline result and the fact
that the harness ships with it. Deliberately states both numbers -- the +31.7 pp
that seq bought and the +0.5 pp that mesh alignment did not -- so the index
entry cannot be read as advocacy for one setting.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
The two options differ in kind. Mesh alignment is an agreement between
receivers and inherits whatever the sync topology does; selecting by rx_seq
needs no agreement, because the 802.11 sequence control field is assigned by
the transmitter and is identical at every receiver. Nodes that have never heard
of each other, sit in different sync domains, or run with no mesh at all still
keep the same subset.
The code shows it: the seq test runs before any sync check and reads only the
frame, while only the mesh branch calls c6_sync_espnow_is_valid(). That
asymmetry is why seq had nothing to degrade in our runs, and it is the thing to
weigh if a fleet's sync is fragile -- seq is not just the better performer
there, it is the option with no dependency that can quietly fail.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
The mesh gate uses mesh-time buckets only while c6_sync_espnow_is_valid(); an
unsynced node falls back to the elapsed gate. Three of nine nodes never
synchronised during these runs, so for those three the mesh and mesh+seq arms
silently ran the elapsed gate.
+0.5 pp is therefore not a clean fleet-wide measurement of window alignment.
Reported as observed rather than reconstructed: the arms were assigned before
we understood the fallback, and a post-hoc per-node reanalysis would not be the
experiment we ran.
Names the cause as environmental rather than a defect. Sync is leader-elected
and hub-and-spoke, so whether every node hears the leader is a property of the
building -- and a house that fragments into sync domains degrades any
shared-time option quietly, for exactly the nodes whose data you would most
want.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
The mesh gate uses mesh-time buckets only while c6_sync_espnow_is_valid(); an
unsynced node falls back to the elapsed gate rather than gating on a
meaningless epoch. Correct behaviour, but it contaminates the comparison we
published: three of nine nodes never synchronised, so for those three the
setting under test was silently not in effect. The +0.5 pp should be read as
"mesh where sync held, elapsed where it did not", not as a clean fleet-wide
measurement.
Records the house-dependent cause as well. Time sync is leader-elected and
hub-and-spoke: one node broadcasts and the rest follow, so whether every node
hears the leader is a property of the building. In a larger or more divided
house the fleet fragments into sync domains and any option depending on shared
time degrades quietly for the nodes that fell out -- which is exactly the case
where someone would most want to trust the measurement.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
The tunables table says which options depend on the building. This shows what
that means with real numbers, and is explicit that they are ours.
Nine-node C6 fleet, 2x2 factorial, three Latin-square blocks: seq selection
doubled cross-node pairing (0.5605 vs 0.2434, +31.7 pp, ~70x the drift floor)
while mesh-time alignment bought +0.5 pp, inside noise.
The point is the reasoning, not the ranking. It records WHY that happened here
-- these nodes already overheard 72% of transmissions in common, so there was a
large shared pool for seq to select from and little left for alignment to
recover -- and says plainly that a house with fewer shared transmitters or
thicker walls has less for seq to work with and may find alignment matters
more. We did not measure such a house and do not claim to know.
Also keeps the trade (pairing bought with raw frame rate; edge processing
unaffected because separately rate-limited, so the cost lands on the uplink)
and the prediction we got wrong: seq is NOT a workaround for broken time sync,
which means repairing our mesh split would not have closed the gap.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
The Kconfig options were discoverable only by opening menuconfig and reading
help text, which requires already knowing they exist. Two of them --
CSI_GATE_MESH_ALIGNED and the thermal throttle pair -- have no universally
right value: they depend on walls, transmitters, enclosure and placement.
Lists all eight with their defaults, marks which are house-dependent, and says
what to measure for each. Notes explicitly that in one measured fleet window
alignment bought +0.5 pp of cross-node pairing while rx_seq selection bought
+31.7 pp, so nobody inherits the assumption that the default is doing the work.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
Both sides appended to the end of Kconfig.projbuild -- upstream added the
thermal monitoring menu, this branch adds the two CSI gate options. Kept both.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
csi_collector.c guards the mesh-aligned gate on CONFIG_CSI_GATE_MESH_ALIGNED,
but nothing defined it. Upstream's Kconfig.projbuild has no such symbol and
this branch did not add one, so the #ifdef would never be true and the gate
would ship dead: present in the diff, absent from the binary, and silent about
it. The A/B this PR offers would have compared the old gate with the old gate.
Adds CSI_GATE_MESH_ALIGNED (default y, the gate) and CSI_SEQ_DIAG (default n,
the probe that measures its effect rather than assuming it).
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
README.md explains the project; there was nothing that said what to run, in
what order, and what to check. This is that, written from the procedures that
were actually used on a nine-node C6 fleet.
Everything in it was learned by getting it wrong at least once, and the
failures it prevents are the silent kind:
- The build must concatenate THREE defaults files. IDF discovers
sdkconfig.defaults and sdkconfig.defaults.<target> on its own but NOT
sdkconfig.defaults.16mb, which is where CONFIG_BOOTLOADER_APP_ROLLBACK_ENABLE
lives. Build without it and the image is correct in every visible respect and
cannot roll back a bad OTA, while ota_rollback_boot_check() sits in the app
expecting the capability.
- A five-key pre-flash gate, because a stale sdkconfig reading FLASHSIZE=4MB
against a 16MB fleet produces an image that silently is not the configuration
under test.
- What OTA can and cannot reach, per flash region. Bootloader and partition
table are USB-only, and there is no bootloader version on the wire -- so
"every node reports health" proves the app is current and proves nothing
about the bootloader.
- A single-board diagnostic flash with a revert path: parse otadata first, back
up the 8 KB, and reverting is writing it back rather than rebuilding.
- min_heap_kib is a minimum-since-boot watermark, not an instantaneous reading.
Sampling it within a minute of a restart produced a wrong "no effect" verdict
once; the real answer, once settled, was -56 KiB.
- /api/v1/nodes rssi_dbm is not the AP link and swings 20+ dB with no physical
change.
No code changes. One file.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
Upstream added a `node_positions_config` of its own while this branch was
waiting, modelled as an ordered `Vec` with a `node_positions_by_active_id`
helper that gives the Nth-lowest ACTIVE node id the Nth entry.
That is the same class of bug this branch exists to fix, one level up: a
position now depends on which OTHER nodes happen to be alive. One node going
quiet re-ranks every node above it and silently moves their coordinates.
Resolved by keying the map by node id throughout -- the struct field, its
initialiser, the local in main() and the helper -- and keeping upstream's
active-node filter unchanged.
Upstream's three helper tests are ported to the keyed form, and one is added
that pins the difference: a stale node must not move its neighbours.
Verified: cargo test -p wifi-densepose-sensing-server --no-default-features
passes.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
`csi_fps_ema` currently under-reports whenever more than one frame arrives in a
burst, and the under-report is proportional to the burst size.
The present scheme rejects sub-5 ms deltas and, crucially, does NOT re-anchor
on them. Holding the anchor means the next accepted delta spans the whole
burst while contributing a single sample -- so a burst carrying N frames is
counted as one. That is invisible when a burst holds one frame, which is the
case the current comment describes, and an exact halving when it holds two.
Two changes, both in the same direction:
- Average in the DELTA domain and invert, rather than averaging 1/dt. The
reciprocal is unbounded as dt approaches zero, so one 36 us arrival can
outweigh hundreds of nominal ones; an average of deltas cannot be dominated
that way. This is what makes it safe to stop discarding short deltas.
- Re-anchor on every arrival. One delta per frame means the deltas sum to the
elapsed time, which is the condition that makes the estimator equal
frames/elapsed.
Simulated against the same arrival stream, a node genuinely producing 40 fps
whose frames are delivered in pairs (four frames per 100 ms):
clean 40 fps, evenly delivered before 40.0 after 40.0
bursty 40 fps, pairs per 50 ms before 20.0 after 40.6
The clean-cadence control is unchanged; the bursty case stops halving.
MAX_PHYSICAL_CSI_FPS is retained and still enforced at the consumption
boundary in `measured_sample_rate_hz`, so restored or malformed state cannot
overclock the DSP math. The estimator itself is left unclamped so that a rate
above the ceiling remains visible as the anomaly it is rather than being
silently flattened to 50.
TRADE-OFF, stated plainly: alpha moves from 1/8 to 1/32, so the estimate is
about three times slower to settle after a genuine rate change. That is the
price of not letting a single short delta swing it, and the steady-state test
horizon is widened to match.
Tests: `observe_csi_frame_arrival_ignores_subms_bursts` is replaced. It fed
three arrivals per 25 ms group -- 120 frames per second, which no single node
can emit under the firmware's own 50 fps send ceiling -- and asserted the
result should read 40, which only holds if two of every three real frames are
discarded. The replacement uses a physically consistent stream and asserts the
same 40 fps ground truth.
Full suite passes.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
`make host_tests` writes its binaries beside their sources, inside a tracked
directory. .gitignore named five of them individually, and the list had fallen
behind the Makefile: test_csi_sanitize, test_mmwave_detect and test_thermal
were built by the default target, ignored by nothing, and got committed by
accident on two contribution branches.
Enumerating targets cannot hold -- every new host test needs someone to
remember this file. So ignore by shape instead: in that directory every source
carries an extension and no binary does.
firmware/esp32-csi-node/test/test_*
firmware/esp32-csi-node/test/fuzz_*
!firmware/esp32-csi-node/test/*.*
Verified rather than reasoned about. After building every host test,
`git status --porcelain` reports only this file. `git check-ignore` confirms
all ten binaries are ignored -- including test_edge_grid_he and
test_edge_grid_pre_he, which are not on main yet -- while the .c sources, the
Makefile, the README and the corpus seeds stay tracked.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BHNNWbmKvxXrVaEDwXEBNo
How a node rate-limits CSI callbacks decides whether cross-node fusion works at
all, because it decides whether two nodes keep the SAME frames or merely the
same NUMBER of frames. We measured three gates on a nine-node ESP32-C6 fleet as
a 2x2 factorial, three Latin-square blocks, every arm verified live on every
node.
Selecting frames by 802.11 rx_seq roughly doubled cross-node pairing over the
elapsed-time gate: 0.5605 against 0.2434, +31.7 pp, reproduced in all three
blocks at ~70x the measured drift floor.
Two results we did not want and are reporting anyway:
- Mesh-time alignment -- a gate we built and expected to be the answer -- bought
+0.5 pp, about one standard deviation of noise. Indistinguishable from doing
nothing.
- We predicted rx_seq selection would win most on node pairs spanning a broken
sync domain. Per-pair yield says the opposite: never-synced nodes gained
LEAST. So it is not a workaround for broken time sync, and repairing our mesh
split would probably not have closed the gap.
The document leads with the method rather than the numbers, because the numbers
are one house. It records the three mistakes that made an earlier attempt
unreadable -- comparing different node subsets, not verifying the gate was
actually live, and using frame rate as the check that a gate is working when a
bucket gate makes frame rate nearly insensitive to it -- and the null run that
establishes the noise floor without which none of the contrasts can be judged.
run_arms.py is included so a reader can measure their own environment instead
of trusting ours. That is the point of the contribution; our figures are the
worked example.
Stated as a trade, not a win: pairing is bought with raw frame rate. On-device
edge processing was unaffected here (separately rate-limited), so the cost fell
on the uplink -- but whether that is acceptable depends on what consumes the
stream.
Co-Authored-By: claude-flow <ruv@ruv.net>
Fixes the indexing mismatch found in review. Positions were inserted keyed by
the entry's index in the parsed list and read back by the node's actual
node_id:
for (idx, p) in positions.iter().enumerate() {
node_positions_config.insert(idx as u8, *p); // key = index
}
...
s.node_positions_config.get(&id) // lookup = node_id
On any fleet not numbered 0,1,2,... every lookup misses and falls through to the
hardcoded [2.0, 0.0, 1.5] that --node-positions exists to replace. The config
reads as applied and does nothing, which is worse than not having wired it up.
It passed here only because these nine boards happen to be 0..8.
--node-positions now accepts an explicit form alongside the positional one:
x,y,z;... positional, identity is the index (unchanged)
node_id:x,y,z;... explicit, identity is the stated id
Both are accepted and may be mixed, so existing invocations keep working.
Coordinates never contain a colon, so the split is unambiguous. An unparseable
or out-of-range id is skipped rather than guessed at -- falling back to
positional there would reintroduce the ambiguity being removed, and 256 must
not wrap to node 0.
Explicit ids are the better form on a real fleet: with the positional one, the
binding of a position to a board is implied only by argument order, which is
exactly the fragility that produced this bug.
MultistaticFuser::set_node_positions() is deliberately left alone. It consumes
the list positionally, matched to per-frame iteration order rather than to node
id -- a real and separate concern, but this change is about the NodeInfo output
and quietly altering fusion semantics inside it would be the wrong scope. The
fuser receives the same list, in the order given, as before.
The map is now built by field_bridge::node_positions_by_id() rather than a loop
in main(). That is the point: the defect lived in a loop no test could reach.
Nineteen tests cover it, including non-sequential ids (11,12,13), a fleet
re-homed to 0,2,4,...,16 with two-digit ids, a fleet that does not start at
zero, and an assertion that the list indices are NOT keys -- which is the bug
stated directly. The four pre-existing parse tests are untouched and still pass,
so the positional path is unchanged.
265 server tests pass.
Co-Authored-By: claude-flow <ruv@ruv.net>
The prior fix stored the parsed --node-positions list keyed by list index
under the assumption that node_id == index, then looked it up by the
node's real node_id. Real fleets use non-sequential logical node IDs
(11, 12, 13, ...), so that lookup silently misses for every realistic
deployment and falls through to the same [2.0, 0.0, 1.5] placeholder the
original bug report was about.
MultistaticFuser::fuse assigns node_positions[i] to the i-th frame in its
node_frames argument, which callers build sorted ascending by node_id.
Match that same convention in the NodeInfo JSON builder: rank currently-
active node_ids ascending and index into the configured position list by
rank, so live position output agrees with what fusion actually used.
Adds node_positions_by_active_id() (shared by both call sites) plus
regression tests for non-sequential IDs, stale-node exclusion from rank
assignment, and the missing-config fallback.
A node that lost WiFi could give up permanently. The disconnect handler
counted retries in s_retry_num, which is only ever cleared on a successful
IP_EVENT_STA_GOT_IP, so it accumulated across the node's entire uptime.
After ten cumulative disconnects it set WIFI_FAIL_BIT and never called
esp_wifi_connect() again. No backoff reset, no periodic retry, no reboot.
Only a power cycle cleared it.
MEASURED 2026-08-30: the AP serving the fleet took a firmware update and
rebooted at ~03:38. All three wall-mounted nodes stopped delivering within
three minutes of each other (nodes 0 and 1 at 03:37:03, to the second) and
none recovered for 5.5-7.5 hours, until each was physically unplugged. CSI
capture ran the whole time -- node 0's sync sequence advanced 16600 ->
46340 at a steady ~30/s while it was invisible to the server -- because
capture is driver-level and needs no IP. The boards looked alive on a
bench and dead to the aggregator.
Retry is now unbounded with 500 ms -> 30 s exponential backoff, scheduled
on an esp_timer one-shot so esp_wifi_connect() is never reached through a
delay inside the event handler. Two things that were conflated are now
separate: WIFI_BOOT_WAIT_ATTEMPTS only releases app_main from its startup
wait so the rest of the node can boot; nothing stops the node retrying.
The uplink watchdog covers the failures we have not diagnosed: no
successful send for CONFIG_UPLINK_WATCHDOG_TIMEOUT_S restarts the node.
The signal is a successful sendto(), which on UDP means the stack accepted
the datagram, NOT that the server received it -- so stopping the
aggregator cannot reboot the fleet. It arms on the first successful send
rather than at boot, so a node powered up while the AP is down does not
reboot-loop; the unbounded reconnect owns that case.
The timeout is 1200 s, sized from a 112-minute soak rather than a guess:
30 observed silences across two nodes, median 225 s, one 510 s outlier
that looked like two cycles running together. An earlier 120 s would have
rebooted healthy nodes every few minutes, and even 600 s left only 90 s of
margin over an event already seen once. Do not lower it below ~900 s while
the ~225 s stalls are unexplained; a needless reboot re-runs ESP-NOW
leader election and discards mesh time-sync state.
Also guards thermal.c's apply_tx_power behind CONFIG_THERMAL_THROTTLE so a
monitor-only build (the default, and what is on the wall) stops warning
about an unused function.
Kconfig gains CSI_GATE_MESH_ALIGNED here alongside the watchdog options;
its implementation lands in a later commit and the option is inert until
then.
Co-Authored-By: claude-flow <ruv@ruv.net>
(cherry picked from commit bb6d954de68fd4d542e191fd5e82c753f67a9874)
Follow-up to the review on #1797. The CRITICAL -> THROTTLED edge was
unconditional: any reading below critical_c dropped the state immediately, so a
node sitting on the critical boundary flapped between TXP_MIN and TXP_STEP2
indefinitely. Every oscillation moves that node's RSSI at both ends, which a
reader cannot distinguish from an obstruction -- exactly the failure the
hysteresis on the other edges was added to prevent.
Now every falling edge requires cooling a full hysteresis band below the
threshold it crossed on the way up; rising edges stay immediate, because heat is
a reason to act now. Verified by dithering across the boundary: six readings
either side of 80 C previously produced five state changes, now zero.
The decision moved into thermal.h as a pure function, following the convention
edge_processing.h already uses for edge_evidence_person_count -- a host test
then exercises the exact function the device build runs rather than a copy free
to drift.
BEHAVIOUR CHANGE worth calling out, beyond what the review asked for. The old
`recover` point was a single global threshold (throttle_c - hyst) that every
state fell back through, so leaving WARN required cooling to 64 C -- a bound
derived from the throttle threshold, not WARN's own. Hysteresis is now relative
to each state's own entry point, so WARN releases at 57 C instead. Leaving
THROTTLED is unchanged at 64 C. Kconfig help updated, since it described the old
throttle-relative semantics.
One consequence the test pins explicitly: with the default constants the
critical exit point (80 - 8 = 72) coincides exactly with the throttle threshold,
so a node cool enough to leave CRITICAL is already below THROTTLED's entry and
lands in WARN. THROTTLED is unreachable descending from CRITICAL at hysteresis
8. That falls out of the chosen constants rather than the logic, and the test
covers hysteresis 4 as well to show the intermediate step reappears when the
bands do not coincide. My first version of the test asserted THROTTLED there and
was simply wrong -- running it caught that.
Verified in espressif/idf:v5.4: against the unfixed transition the test fails
five checks including the dither, passes with the fix, and the C6 firmware
builds. Still no hardware evidence for this PR -- a real boot log is coming
before merge, as promised earlier in the thread.
Co-Authored-By: claude-flow <ruv@ruv.net>
`fuse_room` recomputes its plurality vote fresh every cycle with no memory of
its own, unlike each node's classification, which is debounced individually.
With per-node confidences sitting near the classification boundary -- 44%, 83%
and 53% observed simultaneously across three nodes -- whichever two of three
happened to agree on a given cycle could flip the room-level result while every
node's own reading was individually stable. The room read
absent / present_still / absent / present_still in rapid succession.
That cascaded into everything gating on presence: the persons array, the
rendered figure appearing and disappearing, the live position dot. Each of
those looked like its own bug, and none of them was.
Adds the missing room-level hysteresis. A new candidate classification must be
observed continuously for ROOM_DEBOUNCE_DURATION_SECS before it is adopted; an
interrupted run restarts it. The threshold is a DURATION rather than a cycle
count, for the same reason as the per-node fix in the previous commit: a count
means a different real interval at every rate.
Debouncing at the room level does not make the per-node debounce redundant.
They answer different questions -- "is this node's reading stable" and "do the
nodes agree stably" -- and the observed failure was agreement flapping while
every individual reading held steady.
Co-Authored-By: claude-flow <ruv@ruv.net>
DEBOUNCE_FRAMES, MOTION_EMA_ALPHA, and BASELINE_EMA_ALPHA were tuned
assuming CSI frames arrive at ~10 FPS (per their own doc comments).
smooth_and_classify_node() runs once per raw incoming UDP frame, and
ESP32-C6 boards measured in the field run at ~48-50 FPS - about 5x
faster. That silently compressed a ~0.4s debounce window to ~0.08s
and a ~1s motion EMA to ~0.2s of real smoothing, letting per-frame
CSI noise flip the reported motion_level almost directly instead of
being smoothed - the reported UI "seizure" of rapid label flicker.
Rather than hardcode a different fixed rate (which would just move
the same bug to whatever chip/capture-mode/config next diverges from
it), derive each frame's effective alpha and frame-count thresholds
from the node's own measured csi_fps_ema, which is already tracked
and burst-filtered elsewhere (observe_csi_frame_arrival). Time
constants are back-derived from the original alphas at the assumed
10 FPS point, so behavior is unchanged for a node at exactly 10 FPS
and now scales correctly to whatever rate a node actually runs at.
smooth_and_classify() (simulated/WiFi-scan sources, already tick-
gated at a known fixed cadence) is unaffected - not exhibiting this
bug, left as-is.
Co-Authored-By: claude-flow <ruv@ruv.net>
(cherry picked from commit d29d9fb02078b066be8557af24023c22e99fa3d1)
The dashboard flip-flopped between "absent" and "present_still" after
navigating away and back. The cause was not sensing. On a dropped socket the
client fell back to a built-in simulation and rendered synthetic values that
were indistinguishable from live ones, so the UI was showing made-up readings
and saying nothing about it.
That is the most damaging failure this UI can have. A sensing system that
invents data silently is worse than one that shows nothing, because every
downstream judgement -- including which nodes to move and whether a change
helped -- is then made against fiction.
Changes:
- Client-side simulation is default-OFF and must be opted into explicitly.
- An unreachable server retries forever instead of substituting data.
- A banner states plainly whenever what is displayed is not live. The
labels say what they mean: "NO DATA - SERVER UNREACHABLE" for an
unreachable server, and "INVENTED DATA - NOT MEASURED" for simulation,
replacing "OFFLINE - CLIENT SIMULATION", which read like a status rather
than a warning.
Also fixes a reconnect race in the same path: two in-flight connects could each
install handlers, so a stale socket kept overwriting fresher state. That race is
what made the flip-flop intermittent and hard to attribute.
Co-Authored-By: claude-flow <ruv@ruv.net>
Every C6 node spends coexistence time-slicing on 802.15.4 -- a single 2.4 GHz
transceiver is shared between WiFi, BLE and 15.4 -- against a receive path that
provably delivers nothing. That time competes directly with CSI capture, which
is the node's entire purpose, and it matters most on a large fleet where the
50 Hz receive gate is already the binding constraint.
The evidence that it cannot receive is upstream's own (ADR-110 D1,
ruvnet/RuView#762): five configurations tested -- channel 15 and 26, OpenThread
on and off, promiscuous on and off, PAN-matched and broadcast -- and every one
gave rx=0 while TX stayed 100% reliable on IDF v5.4. ESP-NOW shipped as the
workaround and is what this firmware actually syncs on. The stack was
nonetheless still initialised at boot and beaconing every 100 ms.
Safe to remove: the ADR-018 byte 19 bit 4 "sync valid" flag is ORed from both
transports and the 15.4 branch is #ifdef-gated on this symbol, so the working
ESP-NOW path keeps setting it. c6_timesync_init is gated on the same symbol and
is no longer called.
Co-Authored-By: claude-flow <ruv@ruv.net>
Node position parsing/storage for multistatic fusion worked correctly,
but the per-node JSON builder (both the vitals-only and governed/
privacy-gated ESP32 live-data paths) never read the parsed positions -
it always emitted the hardcoded fallback [2.0, 0.0, 1.5] regardless of
--node-positions. Store the parsed positions in AppStateInner, keyed
by 0-based index (= node_id), and read from it at both call sites.
Matches upstream issues #228, #249, and the "Known Issues" #301 symptom
class ("same output regardless of position").
Co-Authored-By: claude-flow <ruv@ruv.net>
(cherry picked from commit d34d76c54e7ba4a466cf9dc27060684f49756b6b)
EDGE_MAX_SUBCARRIERS is a flat 128, which silently truncates CSI on any part
that carries HE20. An ESP32-C6 or C5 reports 256 subcarriers per frame; every
buffer sized by this constant holds half of them, and edge_process_frame()
returns early on n_subcarriers > EDGE_MAX_SUBCARRIERS, so on those parts the
edge pipeline stops entirely -- no log past init and no vitals packet ever
reaching the sink.
Gated on CONFIG_SOC_WIFI_HE_SUPPORT, the same switch csi_collector.c already
uses to pick its rx_ctrl layout, so pre-HE parts keep 128 and do not pay ~3.5 KB
of .bss they can never use.
Co-Authored-By: claude-flow <ruv@ruv.net>
Reading the sensor is inert. Reducing transmit power moves every RSSI the node
has, at both ends of every link -- introducing that during a three-to-nine node
bring-up would give any surprise two candidate causes and no way to separate
them.
So CONFIG_THERMAL_THROTTLE is now its own option, default off, while
monitoring stays on. The first flash therefore reports die temperature and
peak without ever changing behaviour, which is exactly what is needed to
answer whether these boards run hot in enclosures at all.
If none of them ever does -- the likely outcome at ~0.4 W average in a vented
box -- throttling never needs enabling and the thresholds cost nothing.
Co-Authored-By: claude-flow <ruv@ruv.net>
(cherry picked from commit 187eb17ba9549a96aa63ce0fda37888c8c65650c)
The C6 carries a temperature sensor this firmware has never read. Tolerable on
a bench board; not once nine nodes are sealed in printed enclosures on a wall
with the radio transmitting continuously.
What is protected is the ENCLOSURE, not the silicon. The part is rated far past
anything it sees here, but PLA softens at its glass transition (~55-60 C) and
sags under its own weight over weeks -- a failure that never announces itself.
Thresholds are set against DIE temperature with that offset in mind: ~72 C on
the die in a small vented box is roughly a 50-55 C enclosure. Setting the trip
at 55 would throttle a perfectly healthy node.
Throttling reduces WiFi transmit power in 3 dB steps, the dominant heat source
and the one that degrades gracefully -- links weaken but keep working, whereas
cutting capture rate would blind the node. Recovery has 8 C of hysteresis
because oscillating around the trip point would put a visible RSSI step on
every link the node has, repeatedly.
`thermal_tx_dbm()` and `thermal_state()` are exported for a specific reason: a
throttled node's RSSI falls at both ends, which is indistinguishable from an
obstruction in the link diagnostics. Anything reading link strength must be
able to tell a hot node from a wall.
Also records two things nothing tracked before:
- **Reset reason at boot.** A node that reboots tells you almost nothing; one
that reboots with ESP_RST_BROWNOUT tells you its supply sagged, which on
shared outlets is a wiring problem rather than a firmware one. Three nodes
dropping together on 2026-08-28 would have been answered by this one line.
- **Free and minimum-free heap** in the periodic log. A slow leak and an
overheat look identical after ten days unless the minimum has been visibly
walking downward the whole time.
Kconfig-gated (default y on C6), thresholds configurable. Builds clean at
0xfe990, 45% partition free.
Co-Authored-By: claude-flow <ruv@ruv.net>
(cherry picked from commit 898295fba7b3873b37e85a5ffc0ec87fe609aa23)
HOW the 50 Hz rate is limited decides whether cross-node fusion is
possible at all, and the original gate quietly made it impossible.
The gate was "at least 20 ms since MY last accept". Each node therefore
has an independent phase: node A can accept at t=0,20,40 ms while node B
accepts at 7,27,47. Both are perfectly healthy, both hit 50 Hz, and they
accept disjoint frames -- so no two nodes ever hold a measurement of the
same transmission and there is nothing to pair.
MEASURED 2026-08-30 with two boards side by side, logging (tx_mac,
rx_seq) before and after the gate: they HEARD the same transmissions 72%
of the time but only 25% of ACCEPTED frames were common. The frames were
there; the gate was throwing away the pairing. (Also settles an open
question from ADR-345: rx_seq is populated -- 4099 distinct values across
~44,000 frames, both nodes reporting the identical range.)
Now gates on a bucket of the mesh-aligned epoch, so every node takes the
first frame it hears in the same absolute 20 ms window and frames both
nodes heard are frames both nodes keep. Mesh sync is good to roughly
490 us against a 20 ms bucket -- about 2.5% of a window -- so boundary
disagreements are rare.
Falls back to the original elapsed-time gate whenever
c6_sync_espnow_is_valid() is false, because an unsynced epoch would
otherwise gate on a meaningless number; a node that has not heard a leader
yet simply gets the old behaviour. The half-interval floor is deliberate:
bucket gating alone could accept at the end of one window and the start of
the next, back to back, and this gate exists to prevent an SPI flash cache
crash in the WiFi ISR, not for tidiness.
Behind CONFIG_CSI_GATE_MESH_ALIGNED (default y) so it can be A/B'd against
the old gate; CONFIG_CSI_SEQ_DIAG measures the difference directly.
NOT yet deployed to the fleet, and not yet enough on its own: the wire
format carries a per-node counter, not rx_seq, so the server still cannot
pair frames. Wire v3 has to carry rx_seq before any of this is usable off
a serial cable.
Co-Authored-By: claude-flow <ruv@ruv.net>
(cherry picked from commit 4b54ef8ecb2a28d173d411a064809dc081c43f52)
Points v2/crates/ruforecast at ruvnet/RuForecast@a802067f, the tip of
fix/governance-and-spend-enforcement (ruvnet/RuForecast PR #2), which closes
14 code-review findings against the training stack merged as #1766 -- most
critically, ADR-349's governance-verification and spend-approval-record
requirements were specified but never actually enforced by the fal.ai
hosted path; they are now.
Adds ADR-354 recording this as a RuView-level integration decision and
pointing to the submodule's own ADR-350 for the full technical record,
since that repository is now the source of truth for the forecast
subsystem's decision history.
Depends on ruvnet/RuForecast#2 merging with green CI first; see that PR for
status before merging this one.
Trains a real fal.ai LoRA fine-tune (fal-ai/flux-lora-fast-training) on
frames extracted from the real fal.ai-generated room-visualization MP4s
already captured this session, so display-layer generation has a specific
trained style target instead of prompt engineering against a stock model.
Architecture boundary: this model only ever produces supplementary
synthetic visual/pixel output. It has no path into measured/derived RF,
pose, vitals, identity, or confidence values, which remain local and
authoritative.
Real run: request 01a060b2-c940-7972-abf9-ea48847eb2ae, 1000 steps, 27
training images, ~$2.04 spend, validated with a real inference call
against the trained LoRA (assets/fal-visual-teacher-sample.png).
Chronos-Bolt (base/small), Chronos-T5-small, and TimesFM-2.5-200M run
zero-shot (no fine-tuning) on the same BIDMC cross-entity test windows,
baselines, and WQL/MAE metrics as the prior from-scratch RuForecast
BIDMC result. Unlike every from-scratch RuForecast configuration tried
this session, all four pretrained checkpoints beat both last-value and
seasonal-naive baselines on WQL, on both independent patient-partition
judges (12-42% margin), consistent with the massive-pretraining-corpus
hypothesis from the prior literature pass.
* feat(forecast): add independent Rust training stack
Signed-off-by: Codex <codex@openai.com>
* docs(forecast): record informal HPO exploration note (unaccepted)
Records an exploratory Darwin Mode numeric-genome hyperparameter search
against the tiny_ci synthetic accuracy protocol: WQL improved 0.257 -> 0.161
-> 0.153 over two search rounds, staying ahead of both baselines throughout.
Explicitly scoped as informal/exploratory (not a frozen leakage-free report,
not eligible for the evidence ledger, not validated for large_linux or any
real dataset) per this doc's own evidence-tagging discipline.
* feat(forecast-core): add per-horizon weighted quantile loss
weighted_quantile_loss collapses the whole horizon into one aggregate
number, hiding whether error grows with lead time. Add a sibling
function using the identical per-cell pinball formula and domain
checks, just reduced per horizon step instead of globally. A unit
test reconstructs the aggregate from the per-step numerators/
denominators to prove the two functions agree exactly, not just
approximately.
* feat(forecast-model): add evaluation-only local activation
Adds activate_for_evaluation and build_eval_input, gated behind the
cpu feature. activate_for_evaluation self-signs an unsigned candidate
with a fixed, publicly-known, non-secret Ed25519 key so a CLI operator
can run inference against their own just-trained candidate without a
real release signature -- explicitly never a production trust path,
documented as such in the module doc comment. The schema-digest check
in ArtifactActivationPolicy still applies in full; only signing is
relaxed. build_eval_input constructs a single-window ModelInput for
CPU inference from raw context-major values/mask arrays, matching the
training batch builders exact time-feature/descriptor encoding.
Six unit tests cover: malformed-candidate rejection, digest-mismatch
rejection (proving the schema check has teeth even on this relaxed
path), getting past the policy gate with a matching digest, and
eval-input shape validation.
* feat(forecast-train): add evaluate and prepare-synthetic-dataset CLI
Turns this sessions throwaway HPO scripts into real, tested CLI
surfaces, replacing two example binaries that bypassed the CLI/TOML
training path entirely.
prepare-synthetic-dataset generates a larger, configurable synthetic
training shard (default 24 windows) plus a matching train-local.toml
with the given OptimizerSpec hyperparameters baked in, and a separate
held-out test.jsonl -- the same synthetic-only, local-validation-only
posture as prepare-local-example, just bigger and configurable.
evaluate scores a trained (unsigned) candidate against held-out
windows and the LastValue/SeasonalNaive baselines: overall weighted
quantile loss, a per-horizon breakdown, 80% interval coverage, and
missingness, for the model and both baselines. Explicitly lists what
docs/benchmarks/ruforecast.mds full accuracy protocol additionally
asks for that this does not cover (abstention coverage, selective
risk, site/device slices, interference regime, RuVector-retrieval
ablation) rather than silently omitting them -- each needs
infrastructure a single-entity synthetic fixture does not have.
Together the three real commands (prepare-synthetic-dataset,
train-local, evaluate) reproduce the exact WQL numbers the old
library-bypassing example scripts produced for the same
hyperparameters, confirmed by re-running the harness/ruview HPO
dry-run end to end against the new CLI path.
New integration test trains a real candidate via smoke, evaluates it
against held-out synthetic windows, and asserts the full report shape
and an empty-input rejection.
* feat(forecast-train): add prepare-synthetic-dataset --seed + Autogenous bridge
--seed (default 0, backward compatible) makes prepare-synthetic-dataset's
generator deterministic per offset: same seed -> byte-identical corpus
across runs (needed to train two genomes on the SAME corpus for a fair
comparison); different seeds -> genuinely independent corpora (needed for
honest multi-seed/multi-judge evaluation upstream, both in
harness/ruview/flywheel/ruforecast/gate.mjs's fitness function and in the
new v2/crates/ruforecast-autogenous-bridge crate added here).
ruforecast-autogenous-bridge is a LOCAL-DEV-ONLY (excluded from the v2
workspace, publish = false) bridge from this crate's real evaluate CLI
into ruvnet/autogenous's new regression-candidate promotion path (separate,
unpushed branch feat/regression-candidate-kind): runs N independent
train+evaluate judges on genuinely distinct synthetic corpora, signs
receipts, and gets a real cryptographically-verified PROMOTE/REJECT
decision -- defense in depth on top of, not a replacement for, Darwin's own
promotion gate. Path-depends on a sibling autogenous checkout that does not
exist in CI; build/run directly via `cargo build --manifest-path
crates/ruforecast-autogenous-bridge/Cargo.toml`.
cargo test -p ruview-forecast-train --no-default-features --features
cpu,cli: all green (unaffected existing tests + this backward-compatible
addition).
* docs(forecast): retract round-2 HPO result, record honest multi-seed finding
The earlier "Informal HPO exploration note" claimed a real improvement
(WQL 0.257 -> 0.153) from a 3-round hyperparameter search. That search
evaluated every candidate against one fixed synthetic corpus (seed 0) for
every round -- textbook overfitting. Independent verification against two
fresh corpora (via the new ruforecast-autogenous-bridge crate) showed the
"winner" losing to the baseline on both.
Fixed the root cause in harness/ruview/flywheel/ruforecast/gate.mjs:
candidates are now scored against three independent corpora, worst-case
across them, not one fixed corpus.
Re-ran the search under the fix. It found a new winner that genuinely beat
baseline on all three of its own search seeds -- and that winner ALSO lost
independent verification on fresh seeds. Two independent search rounds,
pre- and post-fix, both produced an illusory "winner." The honest reading:
at this dataset scale (24 synthetic windows) held-out WQL varies enormously
by which corpus is drawn, regardless of hyperparameters -- confirmed
directly by the baseline genome's own primary swinging from 0.83 to a full
regression across the three fixed search seeds with unchanged
hyperparameters. No RuForecast hyperparameter configuration has been shown
to reliably beat the trivial baselines out-of-sample at this scale.
Also fixes a real design inconsistency surfaced by this exploration: the
Autogenous regression-candidate promotion verifier
(envelope::regression::verify_regression_promotion, separate unpushed
ruvnet/autogenous branch feat/regression-candidate-kind) required all
judges to share one corpus_id, which conflicts with this kind's
intentional cross-corpus judge design. Corrected there (commit bfa4c48);
did not change either REJECT verdict, which were already driven by the
real NotBetterThanParent signal on their own.
Append-only: the original round-2 row is kept, read together with this
new amendment section, per this doc's own evidence-ledger discipline.
* refactor(forecast): extract RuForecast to ruvnet/RuForecast submodule
Mirrors the v2/crates/worldgraph pattern: RuForecast becomes its own
independent public repo/workspace (ruforecast-core/model/train), mounted
at v2/crates/ruforecast as a git submodule, with v2/Cargo.toml path-depping
into its sub-crates and excluding the submodule from the v2 workspace.
Full v2 --workspace check passes; the ruforecast CLI builds and runs
correctly from its new location. Real git history for the extracted
crates (7 commits) was preserved via git-filter-repo, not squashed.
* feat(autogenous-bridge): real-data independent verification tool
real_data_verify.rs: signs two real, temporally-independent judge
measurements (different train/test split boundaries on the same real
household vitals corpus, not synthetic seeds) through the real
Autogenous regression-candidate promotion path, and gets a genuine
cryptographically-checked PROMOTE/REJECT verdict.
Result recorded (see docs/benchmarks/ruforecast.md): REJECT. One judge
nominally beat the trivial baseline but by less than the 0.01
non-inferiority margin; the other judge lost outright. Consistent with
every synthetic-data search this session -- no configuration has yet
been shown to reliably beat trivial baselines out-of-sample, now
including a real 6390-sample household corpus.
Bumps the ruforecast submodule to pick up the evaluate real-gap fix.
* docs(forecast): record real-household-data result (REJECT, signed)
6390 real vital-signs samples, two independent temporal splits,
independently verified via the real Autogenous regression-candidate
promotion path. Signed verdict: REJECT -- neither split cleared the
non-inferiority margin. Same conclusion as every synthetic search this
session, now confirmed with real data too: more real data is the
credible next lever, not further search on this scale of fixture.
* chore(forecast): point ruforecast submodule at published main (post gap-tolerance fix)
* ci(forecast): fix ruforecast-ci.yml for the new v2/crates/ruforecast submodule layout
The RuForecast crates were extracted into a standalone submodule (v2/crates/ruforecast, mirroring the existing v2/crates/worldgraph pattern) and are no longer members of the v2 workspace. The CI workflow still referenced the old in-tree package names/paths (ruview-forecast-core/model/train under v2/), which broke every forecast job with "cannot specify features for packages outside of workspace".
Fixed every job to target the submodule: working-directory -> v2/crates/ruforecast, -p ruview-forecast-* -> -p ruforecast-*, all hardcoded Cargo.toml/source paths in the Python assertion and clean-room-scan blocks, the Swatinem/rust-cache workspaces input, the artifact-tree output paths, and the two levels of relative path (../ -> ../../) in the informational-benchmark steps whose working directory moved one level deeper.
Also collapsed the paths: trigger filters internal-crate globs (v2/crates/ruview-forecast-*/**) down to the single v2/crates/ruforecast path, since GitHub Actions path filters only ever see a submodule gitlink change as one entry in the parent tree, never its internal file paths -- the old globs could never have matched anything.
Includes a real cargo fmt fix (submodule commit d9902f9) for formatting drift left over from the earlier real-data gap-tolerance fix, which the contract job's fmt --check step would otherwise have failed on.
All four forecast CI jobs' real commands verified locally before push: cargo test/check for CPU, CUDA/WGPU compile-check, the contract job's Python assertion block, the hosted-boundaries clean-room scan, and cargo fmt --check.
* docs(forecast): record real BIDMC cross-entity holdout result (REJECT)
Two independent real-patient partitions (34/16 and 24/26 splits, 53 total
ICU patients from PhysioNet BIDMC, Open Data Commons Attribution License
v1.0) both show the model losing to trivial baselines by a decisive margin
(+69% and +601% worse WQL). First genuine cross-entity real-data test this
project has run; same conclusion as every prior synthetic and single-household
test. Full Autogenous signed verification was not run for this entry -
flagged explicitly in the note.
* chore(forecast): point ruforecast submodule at published main (example feature-gate fix)
* chore(forecast): point ruforecast submodule at published main (clippy fix)
---------
Signed-off-by: Codex <codex@openai.com>
ADR-262 §8 question 5 left the second modality open, asking whether it should
be rvcsi. This answers ultrasonic instead, because the cost collapsed:
rufield-adapters now ships UltrasonicReplayAdapter, the first adapter for
Modality::Ultrasonic (registry code 7, empty since v0.1), which parses,
validates and signs BatVu range profiles upstream. RuView only has to decide
what it will put on a wire.
Bumps vendor/rufield 43b1df3 -> 9955672. Two struct literals in bridge.rs gain
fields added upstream (Observation: track_id, attributes, identity_evidence,
channel_sounding_provenance; SensorDescriptor: coordinate_frame, position_m,
orientation_xyzw). All left empty, each for a stated reason rather than a
convenient default — the pose fields in particular, because a CSI link has no
boresight and §6 makes no validated room-coordinate claim. The nine existing
P1 gates pass unchanged.
The decision this module makes is structural rather than a runtime refusal.
The adapter's full per-bin frame is P0 and would be dropped by the egress gate
after all the work of parsing and signing it; its 32-bin coarse reduction is
P1 and egress-safe. So the module does not offer the choice — it configures
the coarse mode, because a consumer cannot un-coarsen a coarse profile whereas
a check can be reordered. The gate still runs and is asserted to drop nothing.
12 gates in tests/ultrasonic_gates.rs, including the honest negative result: an
ultrasonic scan produces no fused inferences at all, and both independent
reasons are pinned. The adapter declines to populate `presence` — one
transducer pair cannot distinguish a person from a coat over the back of a
chair — and the engine's feature vocabulary is entirely statements about a
body, so range_m has nothing to drive.
The fixture is BatVu's own emitter output, byte-identical to the one in
ruvnet/rufield, so schema drift fails a build in one of three repositories
rather than an ingest in a deployment.
Not wired into the running server; P1 shipped as a library before P3 wired it
in, and this follows the same staging.
Use mesh-aligned capture timestamps, remediate Rust advisories, harden the audit gate, and correct deployment claims. Includes the live MQTT subscriber lifetime fix verified against Mosquitto.
New leaf crate v2/crates/ruview-offaxis implementing ADR-324's projection
core from the published math only (Kooima 2008 generalized perspective
projection; Casiez 2012 one-euro filter) — no code from the unlicensed
prior-art repo. Dependency-free native core; wasm-bindgen surface gated to
wasm32 (cdylib+rlib, ~54 KB wasm after bindgen).
- projection: Screen (3 corners, any orientation) + off_axis() -> typed
errors, never NaN matrices; column-major f64 (three.js Matrix4 layout).
Tests pin the defining invariants: screen corners -> NDC corners for a
grid of eye positions and tilted screens; screen-plane points are
eye-invariant; centered eye reduces to the symmetric frustum; near/far
map to NDC -1/+1.
- filter: one-euro with injected timestamps (no clock in crate);
monotonicity/convergence/NaN-rejection tests.
- rf: field-peak extraction mirroring field_localize.rs constants
(X_SCALE 0.6, Z_SCALE 0.5, PEAK_THRESHOLD 0.35) and the Tier B
coarse-parallax stage (deadband, gain, hard clamp) so over-claiming is
impossible at the API level. No accuracy numbers asserted.
- wasm: OffAxisCamera + RfParallax bindgen classes; per-frame updates hold
last good state instead of throwing.
- benches (criterion): full Tier B frame ~598 ns; argmax scan optimized
-18%/-33% (20x20/100x100). MEASURED table + reproducer in README.
- examples/three.js/demos/07-off-axis-window.html: demo with SYNTHETIC
mouse simulator and labeled RF Tier B mode ('coarse body parallax - not
head tracking'), physical calibration panel, /ws/sensing input, and a
build-instructions overlay when the local pkg/ output is missing
(generated artifacts stay uncommitted; .gitignore entry added).
- Validated 23 unit tests + doctest, clippy clean, wasm32 release build,
Node smoke test of the bindgen output, and a headless-Chromium run of
the demo (engine load, eye response, mode labels, ws failure path).
- ADR-324: header + section 2.5 amendment recording the Rust/WASM core.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BU3NcEgTpAVvu5QGtw4czT
Deep-research ADR answering whether icurtis1/off-axis-sneaker can be used
with RuView. Adopts the head-coupled perspective technique (Kooima
generalized off-axis projection) via a clean-room implementation — the
upstream repo is unlicensed, so no code or assets are reused. Defines a
tiered integration: webcam-fine tracking with RF presence gating and
multi-person arbitration (Tier A), an explicitly labeled RF-only coarse
body-parallax mode (Tier B), and evidence-gated future metric RF head
positioning (Tier C). No server changes; existing /ws/sensing and
/api/v1/stream/pose streams only. Indexed in the ADR README.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01BU3NcEgTpAVvu5QGtw4czT
Fix breathing confidence, Windows desktop launch and clean UI builds, contributor-harness line-ending integrity, runtime secret hygiene, and remove the six ADR-299 CSI/person-data files from the current tree.
Reviews and fixes RuView's 10 most recent substantive issues, plus closes
the wiring gap flagged in the perception-substrate review (docs/adr,
gist, release notes from the PR #1579 review).
## Fixed
- #1526: UI falsely claimed "LIVE — ESP32 Hardware Connected" whenever the
unauthenticated /api/v1/status probe 401'd. Now sends the bearer token
on the probe (the fallback direction was already fixed by ADR-295).
- #1554: top-level `classification` (GET /api/v1/sensing/latest) was the
last UDP packet's single node, not the fused room aggregate, so it
flapped at packet rate with 2+ disagreeing nodes. Now derived from
`RoomInference` (ADR-297's `fuse_room`) at both call sites.
- #1541: per-node MQTT `presence`/`presence_score` read a `classification`
JSON key that does not exist on `NodeInfo` (the real field is
`node_inference`), silently falling back to the room aggregate for
every node — reproducing the exact "lockstep publish" the field report
measured. Also fixed the *existing* regression test for this bug,
which used the same wrong key in its own fixture and so never caught it.
- #1557: pose-fusion's `wsPortMap` only knew port 3000, so a remapped host
port fell through to `localhost:8765` (nothing there for a remote
viewer). WS port is now derived from `location.port` instead of a
2-entry lookup table (the "never render simulated as live" half was
already fixed by ADR-295's `onVerifiedFrame` gate).
- #1525: the no-model pose path already clamps keypoint confidence to a
0.1 floor, but the renderer's own threshold is also 0.1 compared with
`<=`/`>` — a keypoint at exactly the floor was still invisible. Floor
raised to 0.15 to clear the client's gate.
- #1556: `--mqtt-ca-file`/`--mqtt-client-cert`/`--mqtt-client-key` were
parsed and stored but never applied — TLS always used the system trust
store, so a self-signed broker always failed UnknownIssuer. Now builds
`rumqttc::TlsConfiguration::Simple` from the real PEM files (no new TLS
dependency needed). A file that can't be read logs why and falls back
to system trust instead of failing opaquely later.
- #1555: the MQTT availability heartbeat asserted "online" for every known
node on a fixed 30s timer regardless of whether that node's data was
still arriving. Now tracks each node's last-seen broadcast snapshot and
only reports "online" within a 10s freshness window, otherwise
"offline" — a frozen sensor can no longer look available. (The other
half — restarting a publisher that goes permanently silent — needs a
reproduction the reporter themselves weren't certain of; left for a
follow-up rather than guessing at the trigger.)
- #1540: already fixed on main (node-keyed RateLimiter, ADR-297).
- #1521/#1522: not fixable in this repo (published HF model artifact);
replied with the ADR-298 gate status and the exact byte-level fix for
the safetensors header, and corrected the README row that claimed the
file loads with the reference loader.
- #1542, #1527: replied — #1542 is a real, larger firmware+server feature
left open for follow-up; #1527's suggested fixes were already applied,
the one residual sample is an inherent first-frame paint gap.
## Certificate spine wiring (closes the gap flagged in the PR #1579 review)
`ruview-certify` and `ruview-policy` now depend on `ruview-ood` and provide
real `From<ruview_ood::DomainState>` adapters plus a composed entry point,
`ruview_policy::authorize_from_certificate`, matching the adapter contract
`ruview-policy`'s own doc comment already described but that no code
actually implemented. A new cross-crate integration test
(`acceptance_test_b_real_integration`) mints a real signed
`CapabilityCertificate` and proves a real post-drift `ruview_ood::Unknown`
denies a `SafetyCritical` action through the composed pipeline — not two
disconnected unit tests hand-setting the same enum value.
Also:
- Wires `evaluate_linear_head` (ADR-298 model-release gate) into a new CI
job so the checker itself can't silently regress; documents that gating
an actual model publish is still a manual step (no HF automation here).
- Wires `SourceState::export_watermark()` into `start_recording`: a
recording captured while the source is synthetic is now stamped in its
metadata (not the filename or per-line JSON, to avoid breaking
`delete_recording`'s path reconstruction or the training dataset
loader's schema).
- Updates docs/user-guide.md's "Developer Preview" section to describe
what's now genuinely wired vs. still not (no live continuous
calibration/OOD loop in the running server yet).
## Validation
- cargo test --workspace --no-default-features: 4391 passed, 0 failed
- cargo build --release -p wifi-densepose-sensing-server --features mqtt:
clean
- Server smoke-tested end-to-end against the simulator (real startup,
UDP/WS/HTTP listeners, /api/v1/sensing/latest stable across calls)
- Real ESP32-S3 hardware was NOT reachable this session (no COM port
present, zero UDP frames received after 40s bound to 0.0.0.0:5005) —
the multi-node fixes are validated by the new unit/integration tests
and full-workspace regression, not by live hardware.
Co-Authored-By: claude-flow <ruv@ruv.net>
Documents the 9 new spine crates (calibrate -> certify -> govern) as a
composable library, explicit about current status: each crate is tested in
isolation but not yet wired together or into the live sensing-server
request path (DomainState is 3 separate enum types across
ruview-ood/certify/policy with no automatic bridge). Contrasts against the
two ADR-292-296 remediation items that ARE genuinely enforced today: UDP
source allowlisting (checked on every packet) and the CSI data-policy CI
guard.
The higher-ceiling primitives on the fused world state. Six crates, all
deterministic SYNTHETIC/L0 model scaffolds (a twin predicts, it never measures);
70 tests + 6 doctests, verified green independently.
ruview-twin (ADR-312): per-deployment RF twin — radio geometry, a documented
synthetic log-distance + wall-attenuation propagation model, per-link expected
distributions, and the load-bearing delta(observed,expected) that localizes a
physical change (moved node / new reflector) to specific links. 8 tests.
ruview-infogain (ADR-311): Value(sensor) = expected uncertainty reduction /
weighted cost; pure bounded-greedy selection under a multi-dimension budget;
unknown-value candidates handled explicitly (defer/probe, never silent zero). 15.
ruview-active (ADR-306): closed-loop control vocabulary (channel/bandwidth/
cadence/antenna as validated ranges); step() proposes the next measurement to
reduce uncertainty, widening exploration when the last response is UNKNOWN;
emits a plan, never RF. 13.
ruview-placement (ADR-305): floorplan + inventory -> ranked placement via the
twin's propagation model; blind-spot flags; predicted-vs-observed adjustment. 11.
ruview-memory (ADR-309): learns per-zone normal physics; anomalies are
significant deltas vs baseline emitted as evidence records; UNKNOWN before a
baseline exists (no false positives). 14.
ruview-counterfactual (ADR-310): scores hypotheses under the twin — empty-room
vs occupied, one person vs two; UNKNOWN when indistinguishable. 8.
Flips ADR-305/306/309/310/311/312 to implemented. Completes all three phases of
the ADR-297 perception-substrate program. No hardware/MEASURED claims.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015TcKegTS7QqhWPC2L2SzaS
The layer that turns the certificate spine into a modality-agnostic perception
substrate. Four crates, all deterministic and green independently (43 tests).
ruview-hal (ADR-317): one abstraction mapping any modality (CSI/802.11bf/BLE/
UWB/mmWave/acoustic/camera/lidar/IMU/custom) to a canonical ontology Observation.
SensorHal trait + two SYNTHETIC/L0 reference adapters; malformed input yields a
degraded UNKNOWN observation, never a panic; synthetic can never alias measured.
8 tests.
ruview-groundtruth (ADR-300): reference sensors as a formal VALIDATION plane
(never an estimator input, enforced by the type boundary); modality-agnostic
ReferenceSeries, deterministic cross-correlation alignment, AgreementReport with
mandatory SessionScope, emitting per-context ruview-evidence records; Measured
requires reference + coverage + reproducer. 15 tests.
ruview-track (ADR-304): privacy-preserving persistent tracks (opaque person ids,
coarse non-reversible features, no civil-identity binding); ambiguous detections
stay tentative rather than misassigned; cross-zone hand-off. 8 tests.
ruview-fusion (ADR-308): multiple HalObservations -> one probabilistic WorldState,
uncertainty-aware (confidence-weighted, not naive averaging); irreconcilable
conflict or insufficient coverage yields UNKNOWN, not a confident average.
9+ tests incl. irreconcilable_conflict_yields_unknown.
Flips ADR-300/304/308/317 to implemented; registers the four crates as workspace
members. SYNTHETIC/L0 throughout; no hardware/MEASURED claims.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015TcKegTS7QqhWPC2L2SzaS
Completes the phase-1 certificate spine; both acceptance tests now pass as code.
ruview-ood (ADR-299): domain-distance vs the certified fingerprint and a pure
DomainState KNOWN/DEGRADED/UNKNOWN classifier implementing the ADR-297
VALID->DEGRADED->UNKNOWN staleness guard; InferenceGate suppresses the class
(UNKNOWN as a first-class value) when domain is not KNOWN; RecalibrationRequest
signalled on DEGRADED/UNKNOWN. 25 tests.
ruview-witness (ADR-316): ordered, append-only, BLAKE3 hash-linked stage chain
(observation->DSP->inference->corroboration->spatial->policy) rooted in an
attest VerifiedMeasurement; verify() catches mutation/reorder/dropped/broken
links; effective level is the minimum across stages. 19 tests.
ruview-certify (ADR-315): signed CapabilityCertificate minted from a single-
context evidence slice (never pooled), evidence level capped at the slice floor,
valid_until bounded by calibration validity; is_valid(now, domain) returns false
when expired OR domain != KNOWN (certificate conditional on the live domain
signature). 17 tests incl. non_known_domain_invalidates.
ruview-scorecard (ADR-314): multi-domain scorecard with per-domain CIs,
worst_domain(), and a promotion gate that fails when only pooled average
improved while a worst-domain slice regressed. 17 tests.
ruview-policy (ADR-318): fail-closed action gate; Convenience/Security/
SafetyCritical assurance classes; authorize() denies with a named failed
condition; UNKNOWN denies high-assurance actions. Includes
acceptance_test_b_post_drift_unknown_denies_safety_critical. 10 tests.
All five verified green independently (88 tests). Registers the five crates as
workspace members. SYNTHETIC/L0 reference crypto; no hardware claims.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015TcKegTS7QqhWPC2L2SzaS
Four foundational perception-substrate crates (dependency roots of the
certificate spine), each pure/leaf and deterministically tested:
ruview-ontology (ADR-303): canonical Site>Building>Floor>Space>Zone +
Sensor/Person/Object/Observation/Track/Event, typed serde-transparent ids,
WorldGraph registry with dangling-parent/duplicate rejection and containment
resolution, EvidenceLevel L0-L5, and a docs-only migration table for the
per-surface shapes. 8 tests + doctest.
ruview-attest (ADR-302): DeviceId + SignedMeasurement envelope binding
{device, monotonic sequence, timestamp, payload hash, calibration ref};
AttestationVerifier enforces unknown-device, signature, tamper, strict
per-device sequence (replay), and freshness; Signer/Verifier traits with a
blake3-keyed SYNTHETIC-grade reference MAC (Ed25519 is a drop-in). 14 tests.
ruview-evidence (ADR-301): append-only per-(room,device,subject,model) ledger;
immutable records with provenance-gated constructors (synthetic forces L0,
measured needs a reproducer); summarize() never pools across contexts; a slice
reports the floor evidence level, never above its weakest record. 8 tests.
wifi-densepose-calibration (ADR-298): CalibrationCertificate — signed, versioned
room fingerprint minted from existing calibration/bank state, compare/drift, and
invalidate-on-drift/expiry. 78 tests green.
Registers the three new crates as workspace members. All four verified green
independently. SYNTHETIC/L0 reference crypto; no hardware claims.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015TcKegTS7QqhWPC2L2SzaS
ADR-292 (sensing-server): SourceState enum + pure transition (provenance.rs);
auth-error/unknown can never resolve to LiveVerified; synthetic exports
watermarked. Pose-fusion simulator starts SYNTHETIC and only shows LIVE on a
real decoded frame (#1557); sensing client no longer labels an unauthorized
status endpoint as live (#1526).
ADR-294 (sensing-server): NodeInference distinct from RoomInference (inference.rs);
deterministic freshness-weighted fuse_room; RateLimiter re-keyed to
(NodeId,EntityKind) so nodes do not starve each other (#1541); stale nodes go
unavailable not frozen-online (#1555).
ADR-293 (sensing-server): --udp-bind (default 127.0.0.1) + --udp-allow allowlist
+ fail-closed refusal of routable bind without allowlist unless --udp-insecure-lan
(udp_bind.rs); crate SECURITY.md documents the threat model and the deferred
per-device-auth step two.
ADR-295 (train): model_gates.rs — constant-output, unreachable-boundary (the
issue-1521 degenerate presence head), class-balance, baseline, and
metric-name-provenance gates.
ADR-296 (ci): scripts/csi-data-policy-check.sh (+ allowlist) and a workflow that
fails on tracked CSI-format/oversized-JSONL files; 6/6 self-tests pass.
Per-crate suites reported green by the swarm; CSI policy self-test 6/6 and JS
syntax verified here. Full workspace re-verification deferred until the
concurrent phase-1 spine build frees the target dir (disk pressure).
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015TcKegTS7QqhWPC2L2SzaS
Elevates decision policy (action authorization) into phase 1 (ADR-318): a
fail-closed gate that authorizes a governed action only when the capability
certificate class, freshness, uncertainty ceiling, evidence floor, and live
domain state (KNOWN, not DEGRADED/UNKNOWN) all satisfy the action class —
convenience vs security vs safety-critical. UNKNOWN denies high-assurance
actions; every decision is the terminal witness-chain stage.
Amends ADR-297 with: the epistemic-reliability pipeline as the product thesis;
four non-negotiable rules (UNKNOWN first-class; certificates bind
cryptographically; one canonical downstream semantics; benchmarks expose
worst-domain + CIs); the certificate-staleness guard (certificates conditional
on a continuously evaluated domain signature; VALID->DEGRADED->UNKNOWN
auto-degrade triggers recalibration); the three-primitive commercial framing
(Runtime / Certify / Trust-Fleet); and acceptance test B (drift invalidation
before a false inference reaches an actuator).
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015TcKegTS7QqhWPC2L2SzaS
Frames the calibration/evidence/trust/deployment layer as a 20-primitive
phased program with a dependency DAG and phase assignments. Phase 1 is the
certificate spine (spatial ontology, authenticated identity, witness chain,
calibration cert, OOD gating, evidence engine, capability certificate,
multi-domain benchmark scorecard) — the acceptance test decomposed and
buildable without new hardware. Phase 2/3 are integration and research-forward
primitives. Child ADRs 298-317 follow.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015TcKegTS7QqhWPC2L2SzaS
Turns the review's code-implementable P0/P1 items into ADRs: source
provenance state machine (synthetic never presents as live), UDP data-plane
bind hardening (loopback default + allowlist, step one), multi-node semantic
correctness (per-node inference, node-keyed rate limiter, stale state), model
release sanity gates (block degenerate/mislabeled heads), and CSI data-incident
repo controls. Also fixes the stale .gitignore rule so the active recordings
directories and CSI globs are covered going forward.
Tree removal of existing recordings, history rewrite, and withdrawal of the
published presence head are gated on maintainer sign-off (outward-facing /
destructive) and intentionally not done here.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015TcKegTS7QqhWPC2L2SzaS
Adds wifi-veil (pinned git rev, dependency-free, MIT/Apache-2.0) to the
workspace and gates it behind a new 'veil' feature in wifi-densepose-bfld.
The bfld::veil module exposes deterministic attacker-vs-protector shield
assessments (re-ID collapse, throughput ratio, energy-conservation audit)
with a mandatory SYNTHETIC/L0 evidence label. Advisory only: no RF
emission, no frame mutation, BFLD invariants I1-I3 untouched. Default
build unchanged; 6 new feature-gated tests pass.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015TcKegTS7QqhWPC2L2SzaS
Three ADRs closing the highest-impact gaps from the 2026 SOTA research
sweep: public-benchmark comparability (Widar3.0 ingest + leakage-guarded
split protocols), wideband 802.11ax CSI ingest (FeitCSI/AX210), and a
vitals ground-truth rig (reference ingest, alignment, Bland-Altman
agreement, evidence grading). Implementations follow in this branch.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_015TcKegTS7QqhWPC2L2SzaS
Building veil_ris_controller/veil_sensing_detector for real against ESP-IDF
v5.4 (esp32s3 target) surfaced two compile bugs, now fixed in both the
firmware/privshield/ and wifi-veil/ copies:
- veil_sensing_detector/CMakeLists.txt: PRIV_REQUIRES esp_mqtt -> mqtt
(esp_mqtt is not a real ESP-IDF v5.4 component name; the real one is mqtt)
- veil_ris_controller.c / veil_sensing_detector.c: ESP_LOGI("%u", ...) calls
passed a bare uint32_t; -Werror=format= requires (unsigned) casts
Also adds esp32/examples/ — minimal ESP-IDF apps wrapping each component's
public API, added purely to prove they compile+link on a real toolchain.
Still SYNTHETIC / L0, build-only — never flashed, no hardware exists.
FlywheelResult has no dataSource field — @metaharness/flywheel stamps it
as replayBundle.data_source (snake_case). This test never actually ran in
CI here (nested .github/workflows/ under wifi-veil/ is inert on GitHub);
caught only once the wifi-veil/ tree was extracted to its own repo and its
own top-level Actions ran for real.
Add scripts/ci-guard.sh and a `guard` CI job that statically enforce the
project's honesty invariants so they cannot silently regress:
- no telemetry (.claude-flow/), build artifacts, lockfile, or scratch/probe
files committed;
- no debug / mock-probe / slop markers in source
(panic!("probe...), dbg!, println!("DEBUG, TODO(ai), LOREM IPSUM, ...);
- the SYNTHETIC evidence label present on every firmware provider README, and
the "never jamming" compliance disclaimer present in the root + firmware READMEs;
- no dishonest hardware-validation claims — honest negated / TODO(hw) /
build-only mentions are explicitly allowed (negation-aware);
- no stale monorepo crate/harness identifiers in the code/manifest surface.
Scans only git-tracked files under the tree, so it works both in-monorepo and
in the extracted standalone repo, and never trips on untracked local scratch or
target/. Documented in CONTRIBUTING.md; passes clean on the current tree.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
Publish ui/veil-console.html as the site landing page (index.html) via GitHub
Pages on push to main. The console is a single self-contained file (inline
CSS/JS, no network), so the build just stages it. Enable once under
Settings → Pages → Source: "GitHub Actions".
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
Assemble `wifi-veil/` as an extraction-ready standalone repository for the WiFi
Veil privacy shield, decoupled from the RuView monorepo. The RuView copies under
v2/, harness/, firmware/, and docs/ are left untouched; this is an additive,
self-contained tree that can be split out to its own repo (e.g. ruvnet/wifi-veil).
Optimized for a standalone identity, with all monorepo coupling removed:
- Rust crate at the repo root: renamed `wifi-veil` (lib `wifi_veil`, bin `veil`),
workspace-metadata inheritance inlined, own `[workspace]` root, release profile.
Dependency-free and WASM-ready — it builds and tests OFFLINE, unlike the
monorepo copy (which needs sibling submodules). Code is byte-identical, so the
deterministic proof witness is unchanged.
- Portable C shield core + per-provider firmware scaffolds (openwifi/openwrt/
nexmon/esp32) under firmware/; host C-core test passes.
- npm harness renamed `wifi-veil-harness`; its guidance paths/commands repointed
to the standalone layout; manifest SHA-256 digests regenerated and verified.
- Docs: ADR-288/289/290 and the privacy-shield research bundle; research build
commands/links normalized to the standalone crate.
- Root scaffolding: product README, dual LICENSE-MIT / LICENSE-APACHE,
.gitignore, CHANGELOG, CONTRIBUTING, and a GitHub Actions CI workflow
(Rust test/clippy/fmt + wasm build, C-core host test, harness smoke).
Validated locally: cargo fmt --check, cargo clippy --all-targets -D warnings,
cargo test (43 tests + witness), cargo build --lib --target wasm32-unknown-unknown,
make -C firmware/core test, and `node harness/bin/cli.js guidance` — all green.
No telemetry, build artifacts, or lockfile committed. All defense figures remain
SYNTHETIC / L0; compliant waveform controls only, never jamming.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
Adopt "WiFi Veil" as the product name across all user-facing surfaces, keeping
VEIL (Verifiable Emission-shaping for Identity-Leakage prevention) as the
technical codename it's built on. Only prose, titles, descriptions, and the
console UI change — no code identifiers, file names, crate/npm `name` fields,
or the deterministic proof witness are touched, so `cargo test` and the C-core
host test are unaffected.
- Crate & research READMEs: title + defining line now "WiFi Veil (codename VEIL — …)".
- Cargo.toml / package.json / plugin.json descriptions: "WiFi Veil …".
- Console UI (veil-console.html): title, brand, and copy say "WiFi Veil".
- Firmware tree (README, per-provider READMEs, BUILD/INTEGRATION/MEASUREMENT):
"WiFi Veil protector/core/shield".
- Harness manifest: recomputed SHA-256 digests for the four changed packaged
files (README, package.json, CLAUDE.md, plugin.json) — all verified consistent.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
Take VEIL from the synthetic Rust reference model toward real WiFi silicon
across multiple hardware providers, around one shared, host-validated core.
Answers the questions "can OpenWRT / open WiFi software implement this?" and
"can ESP32 help scramble signals?" with an honest per-platform feasibility map.
Portable C shield core (firmware/privshield/core/) — VALIDATED (host test):
- veil_shield.{h,c}: keyed Givens-rotation obfuscation of the identity-bearing
"fine" subspace, C99, no malloc / no libc I/O, only <math.h>. SplitMix64 key
schedule byte-identical to the Rust crate, so on-air behavior is consistent
everywhere and every adapter links the same math.
- make test passes: energy conservation (orthogonal => "not jamming"),
reversibility (recover inverts apply), wrong-key-fails, and PRNG stream parity
with the Rust crate. This is build/host evidence, NOT silicon.
Per-provider adapters (all SYNTHETIC / L0, build-only, TODO(hw) markers):
- openwifi/ grade B (ceiling A, effort D): only open PHY/MAC (FPGA) that can
host the full keyed rotation + inverse; needs new HDL + 2nd TX chain. Carries
the P5 measurement protocol (MEASUREMENT.md) for the first MEASURED result.
- openwrt/ grade C: per-packet keyed unitary is blob-blocked on commodity APs;
coarse compliant knobs (TX antenna map, sounding-cadence jitter) reachable
from userspace/hostapd; ath9k is the one credible driver-patch route.
- nexmon/ grade C: reading the compressed-BF angles is solved (nexmon_csi /
Wi-BFI); shaping the transmitted report is research-grade (D11 ucode-adjacent).
- esp32/ grade F (self) / B (supporting): cannot shape its own BF feedback
(closed esp-phy-lib blob); legitimate as a sensing detector and external-RIS
controller — the honest way ESP32 "helps scramble", via an external surface.
Docs:
- firmware/privshield/README.md: architecture, layout, and the feasibility matrix.
- ADR-290: the E2E hardware program, PROOF discipline, and per-provider decision;
added to docs/adr/README.md index.
Compliant waveform controls only, never jamming. No adapter has run on silicon;
no MEASURED claim is made (that is roadmap P5, gated on a captured log).
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
Plain-language "how it protects you" for non-experts, in both surfaces:
- README: new "How this protects you from unauthorized WiFi surveillance"
section — the silent device-free threat, the per-session keyed-twist defense
(own router undoes it, outside listener can't average it back → identity guess
collapses to chance; ~98% throughput; compliant/not-jamming), and honest
limits (defends vs. third-party sniffers not the AP; SYNTHETIC/L0).
- UI (ui/veil-console.html): a new always-visible "How this protects you" card
(Threat / Shield / Kept honest) plus a deeper `protect` explainer dialog.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
- docs/veil-tui.gif: an animated walkthrough of the `veil` terminal harness
(shield off/on, 32 passes → out-of-spec, 96 → pass, ward preset, optimize,
witness check), embedded at the top of the harness section in the crate README.
- ui/veil-console.html: the self-contained VEIL Console web dashboard now lives
in the repo (no build/network), linked from the README.
- veil: honor CLICOLOR_FORCE so piped captures keep ANSI color (standard flag).
- veil-console.html footer now points at the `veil` terminal harness/TUI.
Validated: 38 tests + doctest pass, clippy --all-targets -D warnings clean,
rustfmt clean. GIF is 800×520, ~113 KB, verified to decode/animate in a browser.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
A dependency-free native binary (`src/bin/veil.rs`) — the in-repo counterpart to
the npm metaharness — that drives the same crate API the tests use:
- Interactive ANSI dashboard (TUI): live status, re-ID off/on vs chance,
throughput, compliance (energy 1.000× / not jamming), a block-sparkline
collapse curve, config, and PASS/OUT-OF-SPEC verdict. Command-driven redraw
loop (std-only, no crossterm/ratatui): on/off, passes/bits/n/snr,
metric euclid|cosine, preset scif|board|ward|hotel, optimize, proof.
- Scriptable subcommands: report, sweep, optimize, adaptive <N>, proof, doctor
(exit 0 = healthy). Auto-picks TUI on a terminal, one-shot report when piped;
honors NO_COLOR.
Std-only, so it builds with no extra deps and runs in any pipe/CI. The wasm leaf
story is unchanged (validated with `--lib`; the bin is native-only). All
readouts are SYNTHETIC/L0 and never relabeled.
Validated: 38 tests + doctest pass, clippy --all-targets -D warnings clean,
rustfmt clean, wasm --lib builds; all subcommands + a scripted TUI session
exercised. Documented in the crate README and ADR-288.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
Adds a rendered screenshot of the VEIL management console (dark theme, shield
engaged: the room's WiFi identity clusters collapsed to the chance floor, re-ID
4.7%, PROTECTED) as a banner at the top of the crate README. Captured at a 16:11
landscape viewport (2400x1752, 2x).
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
Two additions on top of the hyper-optimized VEIL shield.
1) Adaptive optimization (v2/crates/wifi-densepose-privshield/src/optimize.rs):
- optimal_bits_across_snr / model_optimal_bits_for_snr: the throughput-
optimal feedback resolution shifts with SNR (unconstrained optimum 4 bits
at 5-10 dB, 3 bits at 20-40 dB); within the spec {5,7,9} set it stays 5,
which is why the shipped shield is SNR-stable.
- adaptive_shield / min_passes_for_n: derive a shield for a specific
deployment. Finding: the collapse budget is N-independent in this model
(48 passes collapses N in {8,64} alike) — it is set by the fine-subspace
dimension, not the candidate count. Defaults unchanged, so the proof
witness is untouched. 38 tests + doctest pass; clippy -D warnings clean.
2) npm metaharness harness/wifi-densepose-privshield/ (ADR-289), mirroring
wifi-densepose-sar-harness (ADR-286) with two improvements:
- @metaharness/* imported dynamically inside the commands that need them, so
`guidance` and `--help` run with ZERO dependencies installed (offline / pre
`npm install`).
- a dependency-free VEIL `guidance` command: a source-cited, evidence-
labelled, read-only capability map (topics: overview, threat,
countermeasure, compliance, optimization, experiment).
Standard router + flywheel (SYNTHETIC) + Darwin wiring, tailored to VEIL
task axes and policy levers. Tests: smoke + router + flywheel (need install)
and guidance (offline). .harness manifest generated with real per-file
hashes. Validated offline: cli syntax, --help, guidance topics, exit codes,
graceful degradation when deps are absent.
Docs: research bundle 08 gains a per-deployment adaptivity section; 07 and the
crate README point at the harness; ADR-289 added and indexed.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
Adds an `optimize` module that replaces the hand-picked shield config with a
derived, robustness-verified optimum, and hardens the experiment so the
collapse is proven to be signal-level, not classifier-level.
Model changes:
- throughput.rs: add a feedback-airtime term (cost rises with feedback bits)
alongside the falling quantization residual, giving a genuine interior
throughput optimum in feedback resolution.
- attacker.rs: add a selectable distance metric (Euclidean + Cosine) so the
optimizer can require the collapse to hold under multiple classifiers.
- experiment.rs: thread the attacker metric through; build the channel once.
optimize.rs:
- optimal_feedback_bits / spec_optimal_feedback_bits: throughput-best resolution
(3 bits unconstrained, matching DySPAN-2026; 5 bits within the 802.11 {5,7,9}
set).
- min_givens_passes: smallest mixing budget that collapses re-ID robustly across
both metrics AND N in {16,32}.
- pareto_frontier and hyper_optimize.
Findings and adopted defaults:
- Proven-minimum robust passes = 48; the hand-picked 112 was 2.3x over-
provisioned. Rotation mixing is keyed (never signaled), so extra passes are
throughput-free -> ship 96 (2x margin).
- Feedback resolution 5 bits (spec-optimal), down from 7.
- ShieldConfig::default() now equals hyper_optimize()'s output; a test guards
against drift.
Net vs. the original: strictly better on BOTH privacy and throughput.
Reference (SYNTHETIC/L0, N=16): re-ID 100% shield-off -> 4.7% shield-on
(chance 6.25%, below chance), throughput 97.6%, energy ratio 1.000000. 35 tests
+ doctest pass; clippy -D warnings clean; builds for wasm32.
Docs: new docs/research/privacy-shield/08-optimization.md; updated bundle
README/03/05/07 and ADR-288 with the derived operating point.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
VEIL (Verifiable Emission-shaping for Identity-Leakage prevention) is the
countermeasure counterpart to BFLD (ADR-118/121): where BFLD detects when
beamforming feedback becomes identifying, VEIL shapes a node's own outgoing
feedback so an unauthorized passive sniffer cannot re-identify people, while
a legitimate receiver that shares the per-session key sees an unchanged link.
Mechanism: identity leaks through the fine cross-subcarrier phase structure of
a compressed beamforming report; throughput rides the dominant beam direction.
These are (mostly) separable subspaces. VEIL composes extra keyed Givens
rotations (the report's native primitive) over the fine subspace only. The
rotation is orthogonal (energy-preserving -> not jamming), keyed per session
(the AP inverts it -> throughput preserved), and fresh each session (a sniffer
cannot average it back -> re-identification collapses to chance).
Contents:
- v2/crates/wifi-densepose-privshield: deterministic, dependency-free,
WASM-ready pure-compute leaf implementing the attacker-vs-protector
experiment, the four compliant controls, a throughput model, a
machine-checkable "not jamming" compliance audit, and a pinned witness.
29 tests + doctest pass; clippy -D warnings clean; builds for
wasm32-unknown-unknown.
- docs/research/privacy-shield: 8-file research bundle (SOTA, threat model,
design, compliance/regulatory, experiment protocol, market, roadmap).
- docs/adr/ADR-288: formal decision record.
Reference results (SYNTHETIC / L0, N=16 identities): passive re-ID accuracy
100% shield-off -> 7.8% shield-on (chance 6.25%); modeled throughput ratio
98.0%; emission energy ratio 1.000000 (compliant). All defense numbers are
SYNTHETIC until a two-node hardware capture with a witness exists.
Compliant waveform controls only; never jamming (47 U.S.C. 333/302a analysis
in the bundle).
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WEXNqzs7UsfNFBcP5yW21p
The crates.io section claimed "All 16 crates are published at v0.3.0" --
stale even before this session (crates publish independently and had
already drifted to 0.3.1-0.3.6). Replaced with an accurate framing
(cargo add resolves each to its own latest) and added the new
wifi-densepose-sar crate (ADR-287) to the list.
- .claude/commands/route.md and flywheel.md -- the two CLI subcommands
added alongside darwin/router/flywheel wiring never got matching
guidance files (unlike doctor/review-diff), so they weren't fully
wired into the harness's own MCP tool listing. Added, following the
existing pattern.
- CLAUDE.md: note the crate + harness are both published now (crates.io
v0.3.1, npm v0.1.0).
- New ADR-286 documenting the harness's MetaHarness scaffold + the
darwin/router/flywheel wiring decision, following the ADR-182/ADR-285
precedent (every harness in this repo gets one).
- docs/adr/README.md: index rows for ADR-286 and the crate's ADR
(287 -- see the next commit for the renumbering-from-283 story).
Mints a real MetaHarness (via vendor/metaharness's published `npx
metaharness analyze --scaffold`, template vertical:coding, host
claude-code) for the wifi-densepose-sar crate: architect/implementer/
reviewer/test-writer agents, doctor/review-diff commands, MCP server,
Claude Code plugin -- following the same pattern as harness/ruview/
(ADR-182) and harness/homecore/ (ADR-285).
Adds real wiring for the three pieces this was scoped around:
- Darwin Mode (@metaharness/darwin) -- wired by the scaffold itself
(npm run evolve / evolve:dry).
- Router (@metaharness/router) -- src/router.ts, a real k-NN
cost-optimal Router over two example model tiers. Its labelled
examples are illustrative seed data (see the file's honesty note),
not measured eval-log observations; the routing mechanism itself is
real and tested.
- Flywheel (@metaharness/flywheel) -- src/flywheel.ts, the real
propose/evaluate/gate/promote loop wired with a SYNTHETIC proposer
and evaluator (dataSource: 'SYNTHETIC', no model call). Proves the
wiring end-to-end: a real signed, independently-replayable lineage,
promoting each generation once the evaluator's noopRate actually
moves (the default gate requires it to strictly improve -- a
constant noopRate, even a "good" one, blocks every promotion
forever, which the first version of this evaluator hit and the
final version fixes).
14/14 tests pass (5 router + 5 flywheel + 4 install-smoke), `npm run
build` clean under strict TypeScript, CLI commands (route, flywheel)
verified manually. `.harness/manifest.json` is stale relative to the
router/flywheel additions -- this scaffold has no manifest:update
script (unlike harness/homecore/); documented as a known gap in the
harness's own README.
Adds vendor/metaharness (github.com/ruvnet/metaharness, pinned at
87b6c51 on main) -- the real MetaHarness generator: repo-aware CLI,
Rust/WASM+NAPI-RS kernel, host adapters, @metaharness/router
(cost-optimal model routing) and @metaharness/darwin ("Darwin Mode",
self-evolving harness config). ADR-285's harness/homecore/ already
depends on the real @metaharness/kernel@0.1.2 npm package; this
vendors the source repo alongside the other vendor/* submodules
(rufield, rvcsi, ruvector, sublinear-time-solver, midstream) for local
inspection and building.
No wiring into any harness/ or crate yet -- follow-up work.
ADR-283 was already taken by ADR-283-ruview-community-metaharness-flywheel.md,
merged to main before this branch's work started -- picked without checking
against main's actual current ADR list. Renumbered to ADR-287, the next free
slot after ADR-286 (the wifi-densepose-sar-harness ADR, no collision there).
Updated every reference across the crate (Cargo.toml description, lib.rs/
geometry.rs/measurement.rs/pointcloud.rs/reconstruct.rs/resolution.rs doc
comments, tests/physics_validation.rs), its README, the tutorial doc,
CHANGELOG.md, and the workspace Cargo.toml's member comment. 25 tests still
pass after the rename (doc-comment-only changes, no logic touched).
wifi-densepose-pointcloud's Cargo.toml had no license/authors/repository
fields at all (crates.io rejects a publish with "missing or empty
metadata fields: license") -- added the standard
authors.workspace/license.workspace/repository.workspace trio every
other crate in this workspace already uses.
nvsim-server's path dependency on nvsim had no version requirement
(crates.io rejects "all dependencies must have a version requirement
specified when publishing") -- pinned to nvsim = "0.3.1", the version
just published.
Found while publishing both crates for the first time; both now publish
cleanly (verified via cargo publish --dry-run before and after).
focus_at_point called Complex64::from_polar (a sin/cos pair) once per
(pose, frequency) term. FrequencySweep::frequencies() produces evenly
spaced frequencies by construction, so the per-term phase is an
arithmetic progression in the frequency index -- the phasor can be
evaluated once per pose and advanced by a fixed complex-multiply step
per frequency instead, turning K trig evaluations into 2.
focus_at_point's signature changes from a raw &[f64] frequency slice
to &FrequencySweep, so the evenly-spaced-frequencies precondition
this optimization depends on is a type-level invariant rather than a
caller-observed one -- an arbitrary non-uniform frequency list is no
longer constructible through this API at all.
MEASURED (criterion regression detection, p < 0.001): ~4.4-4.5x
faster across 512/4096/32768-voxel grids (300us/1.97ms/14.5ms vs the
prior 1.47ms/10.4ms/73.5ms). Proven equivalent, not just faster: a new
test independently reimplements the direct per-frequency computation
as a reference and checks the optimized path against it across four
sweep sizes (incl. the n_steps=1 degenerate case) and both on-target
and off-target points, to <1e-9 relative error.
25 tests (22 unit + 3 integration), 0 failed, clippy-clean.
Adds vendor/metaharness (github.com/ruvnet/metaharness, pinned at
87b6c51 on main) -- the real MetaHarness generator: repo-aware CLI,
Rust/WASM+NAPI-RS kernel, host adapters, @metaharness/router
(cost-optimal model routing) and @metaharness/darwin ("Darwin Mode",
self-evolving harness config). ADR-285's harness/homecore/ already
depends on the real @metaharness/kernel@0.1.2 npm package; this
vendors the source repo alongside the other vendor/* submodules
(rufield, rvcsi, ruvector, sublinear-time-solver, midstream) for local
inspection and building.
No wiring into any harness/ or crate yet -- follow-up work.
New standalone leaf crate implementing the synthetic-aperture-radar
reconstruction primitive a handheld through-wall RF imaging device
would need: a stepped-frequency multi-position complex forward
measurement simulator, delay-and-sum backprojection reconstruction,
point-cloud extraction, and closed-form range/cross-range resolution
+ antenna-pose coherence-budget formulas checked against the
reconstruction's actual behavior in tests/physics_validation.rs.
Motivated by comparing this repo against Applied Electrodynamics'
"WaveSight" launch. Scoped explicitly below ADR-278's RISE/DiffRadar/
GeRaF reproduction gates: this is the bare measurement-model +
backprojection primitive, not a reproduction of any published system
or a claim about real hardware capability. Every number is
SYNTHETIC/L0 (ADR-282) -- no wideband RF hardware backs this crate.
24 tests (21 unit + 3 integration), 0 failed, clippy-clean. Adds a
tutorial walkthrough and MEASURED backprojection benchmark numbers.
Picks up a cargo-fmt pass on the rufield MFS reference stack
(github.com/ruvnet/rufield): whitespace/line-wrap only, no logic
changes. 98 tests, 0 failed.
--convert-model rejected the published model.safetensors because its
JSON header is padded to an 8-byte boundary with trailing NUL bytes,
which a strict serde_json::from_slice parse treats as trailing
characters. Trim the padding before parsing, with a regression test
that reproduces the exact boundary-padded shape of the real HF file.
docs/huggingface/MODEL_CARD.md had drifted from the card actually
published on the Hub: every file in its "Files in this repo" table
(pretrained-encoder.onnx, pretrained-heads.onnx, pretrained.rvf,
room-profiles.json) does not exist in ruvnet/wifi-densepose-pretrained.
Replaced it with the content live on the Hub and added a section
documenting the --convert-model / --model RVF conversion path, which
neither card mentioned.
Pins maintained action revisions that execute on Node 24, moves the project runtime to Node 22, and adds regression coverage so the deprecated Node 20 action runtime cannot silently return.
Add a fail-closed nightly Cognitum research pipeline with frozen Darwin policy, an honest-null Flywheel canary, bounded issue/PR automation, and declarative offline prototypes.
Imports and hardens #1382 with opt-in OTLP logging, registry-validated semantic conventions, a published schema, TLS roots, digest-pinned demo images, and corrected first-CSI lifecycle reporting. Co-authored by Jens Holdgaard Pedersen.
websocket.service.js (used by the pose/event streams) opened a bare
`new WebSocket(url)` with no ADR-272 ticket exchange, unlike
sensing.service.js which already mints a ticket per connect. Since a
browser cannot set an Authorization header on a WebSocket upgrade, and
the server rejects a long-lived bearer passed as a query string
(CWE-598), the pose stream 401'd whenever auth was on — visible in the
Live Demo tab as "Failed to create WebSocket connection".
Fix: createWebSocketWithTimeout() now strips any `token` query param a
caller put on the URL (pose.service.js does this) and exchanges the
stored bearer for a single-use `?ticket=` via withWsTicket(), done at
this one choke point so every consumer (pose, events, training) and
every reconnect attempt gets a fresh ticket.
Second, smaller bug: pose-fusion/js/main.js auto-connected to a
hardcoded `ws://localhost:8765/ws/sensing`, but the Docker image serves
the sensing WebSocket on :3001 (the same 3000->3001 mapping
sensing.service.js already encodes) — the auto-connect dialed a port
nothing listens on. Reuses that port mapping and tickets both the
auto-connect and the manual "Connect" button.
Bumped the pose-fusion.html cache-buster (v=13 -> v=14) so browsers
actually fetch the updated main.js.
Adds ui/services/websocket.service.test.mjs (4 executed Node tests,
stubbed WebSocket/fetch/localStorage) covering: no-auth passthrough,
ticket exchange + bearer-never-in-URL, stray ?token= stripping, and the
pre-ADR-272 404 fallback. Wired into the CI "Run UI unit tests" step.
Reported with a verified fix in #1461 by wsc7r4zcj4-collab; this PR
implements the same fix against current main with an added regression
test.
Closes#1461
Closes the two documentation gaps from #1456 (follow-up to #1401):
- docs/calibration-guide.md: what calibrate/enroll/train-room actually
enforce, grounded in v2/crates/wifi-densepose-calibration and
wifi-densepose-cli source (not just ADR-135/151 aspirational prose).
Covers the hard 600-frame baseline minimum, per-anchor quality gate
thresholds, the unsolved pet/small-motion presence-detection gap, and
what the empty-room baseline capture actually needs (steady vs silent).
Flags that ADR-135's drift_score/BaselineDrift staleness system is not
implemented in code — only bank.rs's baseline_id STALE check is real.
- docs/trust-and-engine-errors.md: exact trigger conditions for
engine_error_count vs the separate, non-sticky `demoted` privacy-class
flag, where both are exposed (/health/ready and /api/v1/status share a
handler), the real diagnostic gap (no per-cause breakdown, log line is
the closest thing), the WDP_GUARD_INTERVAL_US recovery path for
persistent clock-drift demotion, and an honest "no code path found"
answer on whether a converted HuggingFace model explains engine errors.
Also adds both docs to the README documentation table. No code changes.
HAP accessory signing seed no longer reachable via derived Debug. /api/history/period and /api/logbook no longer break the default (unfiltered) call shape above 32 entities. fire_event's event_type validation relaxed to match real HA's contract. homecore-migrate gained a --force flag for re-running imports. Public v2051 release notes corrected. 110 tests across the 3 touched crates, 0 failed, clippy clean.
Fixes#1422, Fixes#1423. HeartRateExtractor no longer truncates subcarrier count on empty phases; BreathingExtractor resets immediately on first out-of-band rejection instead of passively draining a stale window (recovery 28.6s -> 6.0s). 64 tests passing, clippy clean, zero regressions workspace-wide.
Fixes the calibration-path bug in #1440. Disables the variance channel when occupied-anchor variance doesn't genuinely exceed the empty-room baseline, mirroring the existing mean-shift channel's fallback. 64 tests passing, zero regressions.
Fixes#1442. Extracted classify_vitals() so presence is always derived from the label, matching the convention already used elsewhere in the codebase. 4 new regression tests, 707 tests passing, zero regressions.
Published: wifi-densepose-core 0.3.2, -vitals 0.3.2, -wifiscan 0.3.2, -hardware 0.3.2, -signal 0.3.6, -nn 0.3.2, -ruvector 0.3.3, -train 0.3.3, -mat 0.3.2, -wasm 0.3.1.
Not published (blocked, needs a decision): wifi-densepose-sensing-server and wifi-densepose-cli both path-depend on ruview-auth, which is publish = false. Version bumps reserved (0.3.5, 0.3.2) but not published.
Native frame contract, universal RF encoder, RF-aware Gaussian spatial memory, physics-guided synthetic RF worlds, edge sensing control plane, BLE-CS + factorized pose. All 10 ADRs (273-282) fully implemented and tested (99 tests); ADR-278 (radar inverse rendering) honestly gated with zero code as a future research program.
Deep-reviewed and hardware-tested against a live ESP32-C6 CSI node before merge: fixed a reachable panic, a silent NaN-corruption path, a cross-entity Gaussian conflation bug, and a wrong-center-frequency bug in the WiFi adapter (confirmed live: was misreporting channel 4 as 2437 MHz, now correctly reports 2427 MHz matching the hardware parser exactly). Added a standing hardware-in-the-loop test (examples/esp32_live_hardware_test.rs). Also fixed unrelated pre-existing issues surfaced during validation (wifi-densepose-core clippy warnings, a ruview-auth Windows build break, a sensing-server test flake).
Full review: https://gist.github.com/ruvnet/89795f3c4b8ea166cff5ac35ae4c7651
Make deployment consume the exact published sensing-server image, publish the two Python packages in lock-step, and enforce the production witness gate.
Make deployment consume the exact published sensing-server image, publish the two Python packages in lock-step, and enforce the production witness gate.
bc0e8fd0 added `serde_json` to the aether crate's [dev-dependencies] for the
native golden-parity test, but v2/Cargo.lock was not regenerated then (that
worktree had no submodules, so the workspace could not build). CI passed only
because it does not use `--locked`; committing the lockfile keeps Cargo.toml and
Cargo.lock in sync and lets a `--locked`/`--frozen` build succeed.
Co-Authored-By: Ruflo & AQE
Closes the two findings from the adversarial review that were verified but left
unfixed. Both now have proper tests, each proven to fail against the old code.
1. PyO3 bindings panicked / over-allocated on caller input (aether.rs).
`EmbeddingExtractor(n_heads=0)` reached `d_model % n_heads` in the transformer
and panicked (surfacing to Python as an opaque PanicException); a non-divisor
head count tripped the native assert; and `AetherConfig(d_model=100_000)`
allocated multi-gigabyte weight matrices that abort the interpreter. The
binding did no validation.
Now both constructors return `PyResult` and validate at the boundary —
positive dims, `d_model % n_heads == 0`, and a generous MAX_DIM/MAX_LAYERS cap
— raising `ValueError`. Proven: `n_heads=0` -> "n_heads must be positive",
`d_model=100_000` -> a clean ValueError, both previously a
PanicException / abort. +10 pytest cases (test_aether.py); a valid config
still constructs and embeds.
2. The single-training-job guard was a TOCTOU race (training_api.rs).
`spawn_training_job` checked `is_active()` under a `state` READ lock, released
it, then set `active` later. A tokio RwLock read lock is SHARED, so two
concurrent `POST /train/start` could both hold it, both see the slot free, and
both spawn jobs — sharing/overwriting one status+cancel and orphaning a task
handle.
Extracted `claim_training_slot`, which does the check-and-set in ONE `status`
mutex scope — the atomicity lives on the status mutex, not the coarse state
lock — so concurrent starts serialise and exactly one wins. This also makes it
unit-testable without a full AppState.
Test: 32 threads hit a barrier and race to claim; asserts EXACTLY ONE wins.
Mutation-proven — reverting to the split check-then-set makes it fail
(`left: 3, right: 1`), and it returns to 1 with the fix.
Verified on aarch64/macOS: training_api 28 pass (26 existing + 2 new), full
python/tests suite 237 pass (227 + 10). The native module keeps its internal
assert as a defence-in-depth invariant; the binding now enforces it at the edge.
Co-Authored-By: Ruflo & AQE
A cross-vendor review of the parity rework (2febbb81) found three issues; all
verified and fixed here.
1. HIGH — the native≈golden half never ran in CI, so a binding marshalling bug
could pass. The golden vectors were regenerated through the Python binding,
and only pytest (binding vs that golden) runs in CI — the native reference
tests in `python/tests/aether_parity.rs` link against the PyO3 crate and no
workflow runs them. A stable PyO3 conversion defect present at regeneration
would therefore be baked into the golden and go undetected.
Fix: a real native parity test IN the `wifi-densepose-aether` crate
(`tests/golden_parity.rs`), which is std-only and a member of the v2
workspace, so it runs under the existing `cargo test --workspace`. It
recomputes the embedding with no PyO3/marshalling and asserts it matches the
SAME committed golden within tolerance. Now native≈golden AND binding≈golden
both run in CI ⇒ binding≈native, and a binding-specific artifact in the
golden surfaces here as a native mismatch. serde_json added as a
dev-dependency only (test-only; never linked into the lib or the wheel, so
the crate stays runtime-dependency-free).
Independently proven at this commit: native output equals the committed
golden BIT-FOR-BIT (128/128 exact bits, Δ=0) for both base and loaded — the
golden is native-faithful today; this test keeps it that way.
2. MEDIUM — the Python parity helper passed non-finite output. `abs(nan - b) >
tol` is False, so an all-NaN embedding slipped through. Now every element
must be `math.isfinite` first. Proven: an all-NaN vector is rejected
("element 0 is not finite (nan)"); the Rust helpers already caught it via
`<=`.
3. LOW — a coherent shift inside the per-element tolerance could move the whole
vector undetected. Added a whole-vector cosine-similarity bound (≥ 1 - 1e-6)
alongside the per-element check.
Verified on aarch64/macOS: `test_aether` 13, full `python/tests/` suite 227
passed against a `--features sota` build; the new native test passes
(2/2) run standalone (the in-worktree `cargo test -p` only failed on an
un-checked-out submodule; ci.yml checks out submodules recursively).
Co-Authored-By: Ruflo & AQE
Reverses the release-wheel packaging change from 3ed43e9a after review.
That commit built the published wheels with `--features sota` so
`pip install wifi-densepose[aether]` would work. But it did so by abandoning a
DELIBERATE, guarded design: `default = []`, the
RuView#1387-default-wheel-budget-config fix-marker, and the wheel-size-budget
job exist specifically to keep the base wheel small and make SOTA opt-in
(ADR-117 §5.4). Building SOTA into every published wheel makes the base fat,
turns the `[aether]`/`[mat]`/`[meridian]` extras into inert no-ops, and — worse
— leaves the PUBLISHED wheel un-budget-checked (the budget job only builds the
no-features wheel), so the ONNX Runtime dependency the fix-marker anticipates
for `mat` would later balloon the shipped wheel past 5 MiB silently.
A pip extra cannot enable a cargo feature on a prebuilt wheel, so "small base +
opt-in SOTA in binary wheels" is only achievable by splitting into separate
packages — tracked as #1412. Until that lands, P6 is source-build-only, and the
honest thing is to say so.
This commit:
- Restores pip-release.yml to its original state (no --features in the release
build; original smoke test). Net packaging change across the branch is now
ZERO — the small-base design is fully intact.
- Points the aether/mat/meridian import shims at the real interim path: a source
build with `--features <x>` (or `--features sota`), and #1412 for the binary
wheels follow-up. The earlier revision wrongly claimed "the official wheels
include it", which is only true once #1412 ships.
KEPT from 3ed43e9a (correct regardless of packaging): the AETHER parity tests
are now arch-portable — they compare a golden VECTOR within tolerance instead of
a SHA-256 of raw f32 bytes, which only ever matched the one architecture that
generated it and failed on the aarch64/macOS-arm wheels this project builds.
Verified on aarch64/macOS with a `--features sota` build (as python-ci does):
test_aether 13, test_mat 7, test_meridian 13 pass; full suite unaffected.
Co-Authored-By: Ruflo & AQE
Three coupled defects, all found by building the wheel and running the real
suite on Apple Silicon rather than trusting green CI.
1. THE P6 SOTA BINDINGS NEVER REACHED USERS (release blocker).
`pip-release.yml`'s cibuildwheel built the DEFAULT feature set, so published
wheels contained none of aether/mat/meridian. `pip install
wifi-densepose[aether]` then raised ImportError — and the extra is empty, so
its own error message ("install the [aether] extra") sent users in a circle.
A pip extra cannot enable a Rust cargo feature on an already-built wheel, so
the only way P6 reaches PyPI is to compile it in.
Fix: the RELEASE build opts in via `MATURIN_PEP517_ARGS="--features sota"`
(per-platform, since CIBW_ENVIRONMENT_LINUX overrides CIBW_ENVIRONMENT).
`default = []` in Cargo.toml, the RuView#1387-default-wheel-budget-config
fix-marker, and the wheel-size-budget job are all left UNTOUCHED — they keep
guarding the small base compile. Measured published wheel: 1.68 MiB, well
under the ADR-117 §5.4 5 MiB budget. Proven: built via the exact PEP517 path,
`import wifi_densepose.aether/mat/meridian` all succeed.
2. THE WHEEL SMOKE TEST COULD NOT SEE #1.
CIBW_TEST_COMMAND only asserted `hello()` and PRINTED `__build_features__`.
The one signal that would reveal missing bindings was dumped to stdout and
ignored, so a featureless wheel published green. It now ASSERTS the p6
features are present and imports the three modules. Proven red→green: fails
on the old featureless wheel ("missing SOTA bindings: [...]"), passes on the
fixed one.
3. THE AETHER PARITY TESTS WERE NOT PORTABLE ACROSS THE WHEEL MATRIX.
`test_aether.py` and the native `aether_parity.rs`/`aether_weights_parity.rs`
hashed the raw f32 embedding bytes (SHA-256) against a committed golden. The
embedding is pure f32 with transcendental ops (ln/sqrt/cos) that are not
bit-reproducible across CPUs/libm, so the hash only ever matched the one arch
that generated it. This passed in python-ci (x86) but fails on the aarch64 /
macOS-arm wheels this same project ships — latent until #1 is fixed and the
bindings actually load. Every tolerance/behavioral assertion already passed;
only the two byte-hash tests failed, which is the signature of a non-portable
golden, not a logic bug.
Fix: compare to a committed golden VECTOR within tolerance
(atol=rtol=1e-4 — ~100x cross-arch f32 drift, ~100x under any real algorithm
change), on both the Python and native sides against the SAME golden. Native
≈ golden and binding ≈ golden together prove binding ≈ native, portably.
`.sha256` goldens replaced by `.json` vectors.
Also: the aether/mat/meridian import shims told users to `pip install
wifi-densepose[<x>]` on a missing feature — an empty extra that cannot help.
Corrected to name the real fix (rebuild with `--features <x>`); message tests
updated to assert the honest message and forbid the misleading one.
Verified on aarch64/macOS: full `python/tests/` suite 227 passed against a wheel
built with the new mechanism; `cargo check --tests --features aether` clean.
The native `.rs` parity tests were converted by inspection and cargo-checked but
not executed — they link against the PyO3 crate and no workflow runs them today
(a pre-existing gap; wiring `cd python && cargo test --features sota` into
python-ci would make the native anchor actually run).
Co-Authored-By: Ruflo & AQE
Decision: browser-side admin is not wanted. `BROWSER_SIGNIN_SCOPE` stays
`sensing:read`, and the escalate-on-demand design sketched while this was open
is not being built. Destructive operations — training, model delete, recording
delete — keep their home in the CLI, where `--admin` is explicit and typed by a
person. Routing them through a browser would mean either asking every user to
consent to delete capability in order to watch a stream, or building a second
consent flow to avoid that.
Consequences, now settled rather than open:
- The UI's admin controls are unreachable from a Cognitum browser session, and
that is intended. The manual token-paste field is unchanged and still carries
whatever authority the pasted token has, so nothing that worked before stops
working.
- REMOVED the client-side step-up redirect from ui/services/api.service.js. It
caught an RFC 6750 challenge that can never be issued to a browser, and it
ended in `return new Promise(() => {})` — so if any other 401 had ever grown
that header, every caller awaiting it would have hung forever with no error
and no timeout. Dead code with a trap in it is worse than no code.
- KEPT ADMIN_REVERIFY_SECS as a server-side backstop. Fail-closed and free, so
if the requested scope is ever widened the freshness requirement is already
in place. Documented at its definition as a backstop specifically so nobody
reads its passing tests as evidence the control is exercised — the tests
reach it through a crate-internal seam that mints an admin cookie the real
flow does not produce.
ADR-271 also stops hedging on the session TTL: chosen is A at one hour. Option B
(server-side refresh-token store) is not built, and the ADR now names the
residual instead of implying it is closed — within one hour a revoked Cognitum
grant still reads sensing data through an existing browser session. There is no
introspection endpoint, so nothing short of B closes that, and one hour is the
size of the hole we accepted.
Adds `the_cookie_max_age_matches_the_session_expiry`, which the previous ADR
revision asked for and nobody had written: Max-Age and the payload's `exp` are
two independent expressions of one lifetime, and drift means either the browser
presents a session we reject or we hold authority the browser discarded.
Verified: workspace 176 suites clean, UI 22, api.service.js parses.
Co-Authored-By: Ruflo & AQE
A cross-vendor pre-merge sweep found no merge blockers, but did surface an
error in ADR-271 that I wrote — and a coherence gap behind it.
ADR-271 P2 stated that capping the browser session at `sensing:read` was
"considered and rejected, because the dashboard genuinely performs admin
operations". That is wrong. `/oauth/start` (main.rs:9206) already requests
`SENSING_READ` and nothing else, deliberately, with a comment saying so. The
browser session is ALREADY read-only, so the breakage I claimed capping would
cause is simply the current behaviour.
Two consequences, now stated in the ADR instead of left to be discovered:
1. The UI's admin controls do not work from a browser OAuth session.
`model.service.js:136` issues DELETE /api/v1/models/{id}, which 401s. Admin
work needs the CLI (`login --admin`) or a pasted admin bearer. A gap in a new
feature, not a regression — the token-paste path is unchanged.
2. The ADMIN_REVERIFY_SECS step-up control added in the previous commit guards
a case that cannot currently arise. No browser session holds `sensing:admin`,
so the freshness branch never fires in production. Its tests pass because the
crate-internal seam mints an admin cookie the real flow never produces.
That second point is worth being blunt about: it is the same shape as several
defects this branch already fixed — correct code, green tests, unreachable call
site. The difference is that here the guard is deliberately ahead of the need
rather than mistakenly behind it, and saying which one it is matters.
So the constant is now named `BROWSER_SIGNIN_SCOPE` rather than inlined, with
the cost of widening it documented at the definition, and two tests:
`browser_sign_in_stays_read_only_until_someone_decides_otherwise` pins the
value, and `the_authorize_url_actually_carries_that_scope` proves it reaches the
wire — asserting on the constant alone would pass even if `begin` were called
with something else, which is exactly the isolation failure being guarded
against.
The ADR also records the coherent way to add browser-side admin if wanted:
escalate-on-demand via the RFC 6750 challenge, keeping least privilege by
default rather than asking every user to consent to delete capability to watch
a stream. Not bundled here — it needs a scope parameter and a UI affordance.
Sweep verdict: no merge blockers. Two other non-blocking risks it raised are
accurate and unchanged: concurrent JWKS refresh at the stale boundary is not
atomic (a duplicated idempotent GET, already documented as an accepted cost),
and the service worker's SHELL_ASSETS use root-relative paths while the UI
mounts under /ui, so offline shell precaching is incomplete — pre-existing,
unrelated to this branch.
Verified: workspace 176 suites clean.
Co-Authored-By: Ruflo & AQE
Found by an empirical route sweep during the pre-merge pass, not by a test.
The step-up gate fired BEFORE the scope check, so a caller holding only
`sensing:read` who attempted a privileged action with a session older than
ADMIN_REVERIFY_SECS received the RFC 6750 "reauthentication required"
challenge. `api.service.js` acts on that by redirecting through /oauth/start —
and the user returns with exactly the same scopes and is refused again. One
wasted round trip, and a reason for the refusal that was simply untrue: they
were not refused for staleness, they were refused for capability.
Now the scope check comes first, so only a caller who actually HOLDS
`sensing:admin` is ever asked to prove the session is fresh. Not a loop before
(the second refusal is a plain 401 with no challenge) and not a security issue
either way — both paths refuse. It was misleading, and it cost a redirect.
Also confirms the deny-by-default gate does not over-reach. Probed the real
binary with auth off vs on:
/, /ui/*, /health, /health/{live,ready,metrics,version},
/oauth/{status,start} unchanged
/api/field, /api/v1/* 200 -> 401 (intended)
/metrics, /favicon.ico 404 -> 401 (never existed; now uniform)
Nothing that returned 2xx before returns 401 now, which is the property that
matters for existing deployments.
Tests: +2. `a_read_only_user_is_not_sent_to_reauthenticate_pointlessly` fails
against the old ordering with the challenge header present; its counterpart
`an_admin_holder_with_a_stale_session_does_get_the_challenge` ensures the fix
does not simply disable the signal.
Verified: workspace 176 suites clean, ruview-auth 62+25+2 --all-features.
Co-Authored-By: Ruflo & AQE
All three deferred findings from the qe-court round. Each fix is guarded by a
test confirmed to FAIL against the old behaviour.
P1 — JWKS: self-inflicted stall, and a blocking fetch on a tokio worker.
`fetched_at` advances only on SUCCESS, and the only rate limiter sat behind
`if fresh`. So once the TTL elapsed after the last successful fetch, `fresh`
was permanently false, the limiter was never consulted, and EVERY request
performed its own blocking 3s-timeout fetch. A Pi that loses WAN stalled
itself 300s later with no attacker present; an attacker could force the same
state by flooding tokens with an unknown `kid`.
Now: `last_attempt_at` is recorded BEFORE every fetch regardless of outcome,
and gates the stale path too; a stale-but-present key is served rather than
erroring, which is the offline tolerance this module always claimed.
Measured by the new test: 26 outbound fetches before, 1 after.
Kept as TWO independent limiters. Merging them looks tidy and is wrong — a
routine refetch would then suppress the unknown-`kid` path for 30s and delay
pickup of a key rotation inside the TTL. I made that mistake first; two
existing tests caught it.
The blocking call also now runs in `spawn_blocking` at the verify boundary,
matching what `main.rs` already does for the token exchange, where the comment
reads "the same mistake this codebase had to fix in jwks.rs". The hot
verification path had never been given the same treatment. A panicked task
fails closed.
P2 — session lifetime, per decision: 1 hour, plus step-up.
SESSION_TTL_SECS 12h -> 1h, and privileged (`sensing:admin`) actions now
require the user to have authenticated within ADMIN_REVERIFY_SECS (5 min),
tracked by a new `auth_time` claim. Reads ride the full session; only the
routes where a stale session does damage are re-verified, so a dashboard whose
main use is watching a live stream does not re-auth hourly.
`auth_time` is `#[serde(default)]`, so a cookie issued before the field existed
reads as 0 — infinitely stale. Such a session keeps working for reads and
cannot perform privileged actions. Fail-closed and self-healing on next sign-in.
The refusal carries an RFC 6750 `WWW-Authenticate` error code, because the
client's correct response differs from a plain 401: the user IS signed in and
needs to prove it again. `api.service.js` acts on that and redirects through
`/oauth/start` — otherwise a stale-session delete surfaces as a generic
"Request failed" with no hint that signing in again fixes it.
P3 — cookie shadowing.
`read_cookie` returned the FIRST match, and RFC 6265 §5.4 sends longer-`Path`
cookies first. Cookies are not isolated by port or scheme, so any other service
on the host — or a plain-HTTP MITM injecting Set-Cookie — could plant
`ruview_session=<their own validly signed session>; Path=/ui`. The victim sent
both, the attacker's first, and it verified because it genuinely was signed:
silent session takeover, with `/oauth/status` reporting the attacker's account.
The signature was doing its job throughout, which is why "it's signed" never
answered this. `__Host-` would, but requires `Secure`, and RuView is routinely
reached over plain HTTP on a LAN.
So both credential paths now accept only when EXACTLY ONE candidate verifies.
An attacker can still cause a refusal by planting a second valid cookie — a
nuisance — but no longer a takeover. Planting junk changes nothing, so this
does not become a trivial DoS.
Tests: +1 jwks (26-vs-1 fetch amplification), +4 step-up, +4 shadowing, +1
duplicate-name reader. Mutation-verified: reverting the stale-path guard gives
26 fetches; reverting to first-match cookie reads fails
`a_shadowing_cookie_cannot_silently_take_over_the_session`.
Verified: workspace 176 suites clean under CI flags, ruview-auth 62+25+2 with
--all-features, UI 22.
ADR-271: P1/P2/P3 marked RESOLVED with the analysis retained, since it explains
why each fix has the shape it does.
Co-Authored-By: Ruflo & AQE
Browser sign-in was the newest security surface in this PR and had no
executable evidence behind it: browser_session.rs was 534 lines with 13 tests,
every one of which hit a private helper (sign, unsign, cookie, read_cookie,
is_live, has_scope). No test called issue, from_cookie_header, begin,
verifier_for_callback or is_configured, and no test anywhere presented a session
cookie to the gate.
+10 tests in browser_session, +6 in bearer_auth. Three mutants the adversarial
review named, each now verified dead by actually applying the mutation:
(a) delete the `state` comparison in verifier_for_callback
-> a_callback_whose_state_does_not_match_is_refused FAILED
Without it the callback accepts a code from a flow the user never
started: login CSRF, victim silently lands in the attacker's session.
(b) `session.is_live().then_some(session)` -> `Some(session)`
-> an_expired_session_cookie_does_not_authenticate FAILED
-> an_expired_browser_session_is_refused FAILED
`is_live` was already unit-tested; nothing asserted the CALLER consults
it. Same "tested in isolation, call site untested" shape as the earlier
refresh-never-invoked defect.
(c) `session.has_scope(required)` -> `true`
-> a_read_scoped_browser_session_cannot_delete_or_train FAILED
Without it any browser session could delete models and start training.
Mutant (c) initially appeared to SURVIVE. It did not — there are two
has_scope call sites and the first substitution only hit one. Mutating the
one in `session_or_unauthorized` kills the test. That accident confirmed a
separate finding: the cookie branch inside require_bearer is unreachable when
an Authorization header is present, because the OAuth step returns on both
arms. It fails closed, so it is not a hole, but "try the next credential" is
what the code reads like. Pinned by
a_bad_bearer_beats_a_good_cookie_rather_than_falling_back.
Adds two crate-internal test seams (init_secret_for_tests, test_cookie_value).
test_cookie_value signs through the same path as `issue`, so tests presenting a
cookie exercise real verification rather than a test-only bypass.
ADR-271:
- The "browser cannot obtain an OAuth token" section asserted
`grep -ril "oauth|cognitum|pkce" ui/` returns nothing. It now returns three
files, invalidated by commits in this same PR. Marked superseded, original
retained under a fold, replaced with what actually ships.
- Records the two deferred decisions with designs rather than patches: P1 the
blocking JWKS fetch on a tokio worker (whose rate limiter is bypassed on
exactly the stale path that matters, because fetched_at updates only on
success — so after the TTL every request fetches, and a Pi that loses WAN
stalls itself with no attacker present); P2 the 12-hour session from a
15-minute token, with three costed options. Capping the session to
sensing:read was considered and rejected: the dashboard genuinely issues
DELETE /api/v1/models/{id}.
- P3 records that dropping `__Host-` costs origin-integrity, not just Secure —
read_cookie takes the FIRST match and cookies are not port-scoped, so a
same-host writer can shadow a session. Forgery was never the threat that
prefix addresses.
- Documents redirect_uri's hardcoded default and the unconsumed CLI credential
as known-incomplete, per decision to leave both as-is.
ADR-272: corrected a claim that would mislead users into a 401. It stated the
Python client DOES send Authorization: Bearer on the handshake; ws.py passes no
headers at all (zero occurrences of extra_headers or Authorization), so every
published client 401s once auth is enabled. Server-side decision unchanged.
Verified: sensing-server 566 + 179 + 7 + 5 + 8 + 4 + 16 pass under CI flags,
ruview-auth 61 + 25 + 2 with --all-features, auth_wiring 7.
Co-Authored-By: Ruflo & AQE
Findings from a qe-court adversarial round (4 prosecutors across 2 vendors).
Each was verified against the code before being accepted; the ones below
reproduced, the rest are reported in the PR thread rather than acted on.
FATAL — `/api/field` was reachable with no credential, on both listeners.
The gate protected `/api/v1/*` by prefix. `/api/field` is the REST sibling of
`/ws/field` and serves the same signed FieldEvent stream — live presence, pose,
vitals. `/ws/field` was gated in this PR; its twin one path segment over was
not. Measured with RUVIEW_API_TOKEN set and no credential supplied:
/api/v1/models 401 (control)
/ws/field 401 (gated by this PR)
/api/field 200 on :8080 AND :8765
Fixed by inverting the gate to deny-by-default with an explicit anonymous
allowlist (`/`, `/ui`, `/health`, `/oauth/`). A route added at a new path is
now gated because nobody exposed it, rather than exposed because nobody
protected it — the same inversion already applied to the scope gate.
FATAL — the wiring test disarmed itself exactly when it mattered.
`Server::start` returned an Option that all five tests turned into `return`,
so a server that failed to boot produced "5 passed" with zero assertions run,
and cargo swallows the skip line without --nocapture. The one test that
observes real wiring — the guard against both shipped bypasses — was silent
for any change that breaks startup, including a boot panic in the auth path.
It now panics with the child's stderr.
MAJOR — a malformed client-id list silently disabled the audience check.
An empty allowlist is the opt-out sentinel in verify.rs. `RUVIEW_OAUTH_CLIENT_IDS=","`
is non-empty, passes the guard, then filters to an empty Vec — turning the
audience boundary off with no log and admitting a token minted for any other
Cognitum product. Only a literal `*` may opt out now; anything else that parses
to nothing warns and falls back to the default. Same fail-open shape as the
scope denylist this PR already had to invert.
MAJOR — credentials were world-readable for a window on every refresh.
`fs::write` creates at 0666 & !umask (0644 by default), and both writers
chmodded afterwards. The existing permissions test asserted on the FINAL file
and passed throughout. Affected the CLI refresh token (rotated with reuse
detection — a thief who presents it first takes the session family) and the
browser session secret (the HMAC key for every session; stealing it forges any
account at any scope). Both now create with mode 0600 via OpenOptions.
MAJOR — ui/sw.js cached authenticated API responses.
Closing the /oauth/ leg left the /api/ leg open. `networkFirst` cached every
successful response, keyed by URL alone, purged by nothing at sign-out: sign in
as A, load sensing data, sign out, sign in as B, lose the network, and B is
served A's data with no authorization check. API responses are now network-only
— which is also the correct behaviour for a live sensing dashboard, where
replaying a stale reading can show a room occupied after the person left — plus
a cache purge on sign-out.
CI — 40 of ruview-auth's 87 tests never ran.
The workspace runs --no-default-features, which switches off the `login` and
`pkce` features. Measured: 47 tests vs 87. The whole interactive sign-in path —
credential storage, single-flight refresh, the file lock, the loopback callback
— was green locally and never executed in CI. Added an --all-features step.
(Checked the sensing-server for the same problem and did NOT find it:
bearer_auth's 49 and browser_session's 15 do run under CI flags.)
Tests: +2 wiring tests (one fails against the old gate with
"http port served /api/field to an anonymous caller", passes after), +3 UI
service-worker tests, +3 CLI scope tests, +1 temp-file permission test, +1
client-id parsing test. wifi-densepose-cli/src/auth.rs had zero tests and
builds its own scope string, so the library's least-privilege test said nothing
about what the CLI requests.
Verified: ruview-auth 61+25+2 pass (--all-features), sensing-server bearer_auth
50, browser_session 15, auth_wiring 7, workspace 25 suites clean, UI 22.
Co-Authored-By: Ruflo & AQE
Browser sign-in worked, but the settings panel kept offering "Sign in with
Cognitum" afterwards; only a hard reload showed the true state. The server was
correct throughout.
Root cause: `ui/sw.js` routed cache-first as its CATCH-ALL for every path
outside `/api/` and `/health/`. `/oauth/status` therefore had its first
(signed-out) response stored in the Cache API and replayed to the page forever.
The Cache API is not the HTTP cache and ignores `Cache-Control` entirely, so the
`no-store, no-cache, must-revalidate` the server already sends could not prevent
it. A hard reload bypasses the service worker, which is why that alone appeared
to fix it, and why signing out re-poisoned the entry.
Fixes, in order of blast radius:
- `/oauth/` is never handled by the worker. Not network-first — that still
writes a copy, which would be replayed the moment the server is briefly
unreachable, silently reinstating a stale sign-in state.
- Cache-first is now an ALLOWLIST (navigations and static asset extensions)
rather than the catch-all. This is the underlying defect: any endpoint added
outside `/api/` was frozen on its first response. Unrecognised paths now go
to the network untouched.
- `CACHE_NAME` bumped to `ruview-v2`, so `activate` evicts the poisoned
`ruview-v1` from browsers that already ran the old worker. Verified: the
cache list went from `[ruview-v1]` to `[ruview-v2]` on update.
- Shell lookups use `ignoreSearch` and store a search-less key, so the
`?signed_in=<ms>` the callback redirects to does not mint a fresh, never-hit
cache entry per sign-in.
Also: re-check sign-in state on `pageshow` (bfcache restore, where no script
re-runs) and on `visibilitychange` (signed in or out in another tab). Opening
the panel alone is not sufficient — it may already be open.
Verification, in a real browser driven end-to-end:
- Reproduced with a valid session cookie: server returned `signed_in: true` to
curl while the page's own fetch got a cached `signed_in: false`, and the
request never appeared in the server log at all.
- Confirmed the cached entry existed: `caches.open('ruview-v1').match(
'/oauth/status')` returned the signed-out body.
- After the fix, on a NORMAL (not hard) reload the panel reads
"Signed in as <account> - sensing:read" with Sign out shown.
Tests: `ui/sw.test.mjs` loads the real `sw.js` with stubbed worker globals and
asserts the routing decision per path. 4 of its 10 tests fail against the
pre-fix worker and pass after; the other 6 pin pre-existing guards (non-GET,
websocket upgrade, cross-origin, API paths, static assets, navigation) and pass
in both, so they track behaviour rather than the rewrite.
CI: adds a `ui-tests` job. Nothing ran the UI JavaScript before, so both this
suite and the ADR-272 ws-ticket suite would have rotted unexecuted — which is
the same blind spot that let this defect ship.
Removes the temporary `/oauth/status` cookie logging and the panel console
diagnostic added while tracking this down.
Co-Authored-By: Ruflo & AQE
Two bugs, one of which I introduced while fixing the other and caught only by
checking the actual response.
1. THE SPENT TRANSACTION COOKIE WAS NEVER CLEARED ON SUCCESS.
`clear_transaction` was only used on error paths, so after a successful
sign-in `ruview_oauth_txn` lingered for its full 10-minute TTL and every
subsequent request carried a dead cookie. Visible in the logs as
`names=ruview_oauth_txn,ruview_session`. Now cleared alongside issuing the
session, and on logout too.
2. THE FIX FOR (1) BROKE SIGN-IN, AND THE TEST CAUGHT IT.
Axum's array-of-tuples response form REPLACES same-name headers rather than
appending. Adding a second `Set-Cookie` silently overwrote the first, so the
logout response emitted only the transaction clear and — had this shipped —
the CALLBACK would have emitted only the transaction clear too, dropping the
session cookie and making a successful OAuth round-trip a no-op.
Caught by looking at the real response headers rather than trusting the
change: `curl -D-` showed one Set-Cookie where there should have been two.
Now uses `axum::response::AppendHeaders`. Both cookies verified present.
Two tests pin this: one DOCUMENTS the footgun (the array form collapses two
Set-Cookie headers into one) and one asserts AppendHeaders emits both. The
first exists so the next person to reach for the tidier-looking array form
finds out here instead of in production.
Also adds a cache-busting query to both redirect targets
(`/ui/?signed_in=<ms>` and `?signed_out=<ms>`). Landing on the same URL let the
browser restore the page from the back/forward cache with a stale panel, which
is why signing in appeared not to work until a hard refresh — the session was
established correctly every time, the page simply was not re-fetched.
Tests: 549 sensing-server lib.
Co-Authored-By: Ruflo & AQE
`refreshSignInPanel` was exported and never invoked. The Cognitum Account panel
would have rendered "Checking…" forever and the Sign in button would never have
reflected a completed sign-in.
That is the FOURTH defect of this exact shape today — implemented, unit-tested,
and never called. The others: the refresh path no command invoked, scope
resolved only at write time, and a WebSocket listener with no auth layer. The
pattern is consistent: the logic was fine, the caller was missing, and a green
suite could not see it.
Now refreshed on every panel open — not once at construction — because the
session may have been established in another tab or expired since page load.
Buttons are also bound at construction so a click works before the first status
fetch resolves.
VERIFIED END TO END IN A REAL BROWSER (Chrome, http://127.0.0.1:8099/ui/), which
is the gap that has been open all session:
1. panel showed "This server requires sign-in." + Sign in with Cognitum
2. clicked -> auth.cognitum.one -> approved
3. server: "browser sign-in complete" sub=ed3efb51-…
4. DevTools: ruview_session cookie on 127.0.0.1, Path=/, HttpOnly, SameSite=Lax
5. after reload the panel reads:
"Signed in as UyShaIh1B1gL7km9Xli9kCDSdRT2 — sensing:read" + Sign out
So the browser half of gate G-3 is now proven, not argued: PKCE, consent, the
server-side code exchange, ES256 verification with audience and scope checks,
the signed session cookie, and the UI reading it back.
Diagnosis note worth keeping: the first attempt appeared to fail because the
browser tab had been open since BEFORE the fix — an already-loaded ES module
stays in memory regardless of `Cache-Control: no-store`. The cookie had been
stored correctly the whole time; the panel simply never re-queried. The server
log showed zero /oauth/status probes, which is what distinguished "fetch never
fired" from "fetch got the wrong answer". Temporary cookie diagnostics added to
find that are removed here.
Tests: 547 sensing-server lib, unchanged.
Co-Authored-By: Ruflo & AQE
Three loose ends from the browser sign-in work.
--- 1. The last mile: a button ---
The server endpoints existed but nothing in ui/ linked to them, so the feature
was unreachable. QuickSettings gains a "Cognitum Account" panel that renders
from `GET /oauth/status` and offers Sign in / Sign out.
`/oauth/status` is a new endpoint and is deliberately UNGATED — a signed-OUT
browser cannot ask a gated API whether sign-in is available. It returns only
capability flags and, when a session exists, who it belongs to. Never a
credential.
The panel distinguishes four states rather than showing a button that might
404: signed in; sign-in available; auth on but OAuth off (points at the
existing static-token panel); no auth required. A 404 from /oauth/status means
a server predating this work and says so plainly.
Sign-in is a full-page navigation, not fetch(): the server replies 302 and the
browser must follow it carrying the transaction cookie. An XHR would follow the
redirect invisibly and land nowhere.
--- 2. RUVIEW_SESSION_SECRET no longer required ---
Previously `/oauth/start` returned 503 unless an operator invented a secret —
a footgun, since they set RUVIEW_OAUTH_ISSUER, expect sign-in, and get a 503
naming an env var they have never heard of.
Now resolved in order: env var, then `<data_dir>/session-secret`, then generate
one and persist it 0600 (temp file, chmod before rename — the discipline used
for the CLI's credentials). Persisted rather than in-memory so a restart does
not silently sign everyone out.
The env var still wins, which is what a multi-instance deployment needs: several
servers must share a secret or a session issued by one is rejected by the next.
If the file cannot be written we log the reason and continue with an in-memory
secret rather than refusing sign-in outright.
Verified with NO configuration at all: secret generated, file mode 0600,
/oauth/start returns 302, /oauth/status reports browser_signin: true.
--- 3. The JavaScript is now executed by tests ---
`ui/services/ws-ticket.test.mjs`, 9 tests, node:test built-in — no new
dependency and no package.json needed. Run: `node --test ui/services/`.
Covers: no token means no fetch and an unchanged URL; the bearer reaches the
Authorization header and NEVER the URL; `?` vs `&` when a query already exists;
ticket URL-encoding; 404 treated as a pre-ADR-272 server (the property that
lets one UI work against old and new servers, and therefore lets the legacy
escape hatch be removed later); 503 and network failure swallowed rather than
breaking the connect path; and that a fresh ticket is minted per call, since
tickets are single-use and caching one fails on the second reconnect.
STATED PRECISELY, because the distinction matters: this EXECUTES the module in
Node with stubbed fetch/localStorage. It is more than the `node --check` it
replaces and less than a browser — no real WebSocket upgrade, no real cookies,
no page wiring. "The UI JavaScript has never been run" is no longer true of
this module. "Browser-tested" still is not.
Tests: 547 sensing-server lib, 5 wiring integration, 87 ruview-auth, 9 JS.
Co-Authored-By: Ruflo & AQE
Closes the gap adversarial review found: `wifi-densepose login` writes
~/.ruview/credentials.json, which a BROWSER CANNOT READ. The UI therefore had no
way to obtain a Cognitum token at all, and the WebSocket ticket mechanism
ADR-272 built "for browsers" was only exercisable with the legacy static shared
secret OAuth was meant to replace. The ADRs described a browser story that did
not exist.
Ported from cognitum-one/freetokens (src/auth/oauth.ts, live at
freetokens.cognitum.one), whose shape is not the obvious one and is the whole
point:
THE BROWSER NEVER HOLDS AN OAUTH TOKEN.
The server generates the PKCE verifier and state, keeps them in an HMAC-signed
cookie, performs the code exchange itself, verifies the token, and issues its
OWN session cookie carrying an assertion — subject, account, scope, expiry — not
a credential. So the access token cannot be read by an XSS, cannot sit in
localStorage, and cannot leak through a URL. A stolen session cookie is useless
against Cognitum or any sibling service.
GET /oauth/start -> 302 to auth.cognitum.one + signed transaction cookie
GET /oauth/callback -> constant-time state check, exchange, verify, session
GET /oauth/logout -> clears the local session (not the Cognitum session)
Verified against the running binary: /oauth/start returns the same 302 +
HttpOnly/SameSite=Lax/Max-Age=600 shape freetokens does live; a forged `state`
is refused 400; a forged session cookie is refused 401.
DELIBERATE DEVIATION from freetokens: no `__Host-` cookie prefix. That prefix
REQUIRES `Secure`, and RuView is routinely reached at http://localhost or over
plain HTTP on a LAN, where such a cookie is never sent and sign-in would fail
silently. `Secure` is set only when the request actually arrived over TLS
(direct or via x-forwarded-proto). Every other attribute matches; the HMAC is
what protects the value.
Other decisions worth stating:
- The callback verifies through the SAME `verify_access_token` every other
request uses — signature, audience (client_id), typ, expiry, scope. A sign-in
path must not be a softer path.
- The session cookie is checked LAST in the middleware, after bearer and ticket:
it is the weakest-bound credential, so a presented bearer should win.
- A browser session requests `sensing:read` only. Admin work goes through the
CLI's explicit `--admin`.
- The token exchange runs in `spawn_blocking` — `ureq` is blocking, and parking
an async worker is the mistake this codebase just had to fix in jwks.rs.
- `/oauth/*` sits outside `/api/v1/*` on purpose: gating the routes you use to
obtain a credential would deadlock.
PKCE moved out from behind the `login` feature into its own light `pkce` feature
(rand + sha2 + base64, no HTTP stack), so the server can build an authorize URL
without pulling in the client-side login machinery. `login` now implies `pkce`.
Tests: 13 new browser_session unit tests — signature round-trip, tampered
payload, wrong secret, malformed cookie values, HttpOnly/SameSite/Secure
attributes, exact scope matching with no implied escalation, a cookie name that
merely ends with the target not matching, multi-scope URL encoding, and the
core property that a session cookie never contains the access token.
Totals: 547 sensing-server lib + 5 wiring integration, 87 ruview-auth.
Co-Authored-By: Ruflo & AQE
Two authentication bypasses shipped in this PR and 526 green unit tests could
not see either, because every auth test in the crate builds its OWN Router with
a hand-picked subset of routes. A synthetic router cannot observe how the real
one is assembled — and both defects were assembly, not logic:
1. the dedicated --ws-port listener had no `require_bearer` at all
2. `/ws/field` was .merge()d AFTER the auth layer, which in axum exempts it
This spawns the actual `sensing-server` binary (via CARGO_BIN_EXE) on ephemeral
ports and speaks raw HTTP/1.1 and real WebSocket upgrades to BOTH listeners. No
mocks, no synthetic router, no in-process shortcuts.
PROVEN TO HAVE TEETH, which matters more than it passing: with main.rs reverted
to eb68e07a (the vulnerable commit), the suite fails —
assertion `left != right` failed: http port ACCEPTED an unauthenticated
upgrade to /ws/field — this is the bypass that shipped twice
and passes again once restored. A regression test that has never been shown to
fail is a comment.
Five cases:
- with auth ON, NO listener accepts an unauthenticated upgrade — all four WS
paths x both ports, with a REST 401 control first so the WS assertions cannot
pass for the wrong reason
- a bearer on the upgrade is accepted on both listeners (native clients are not
browser-constrained and must not need the ticket round-trip)
- with auth OFF both listeners stay open — the compatibility promise
- the legacy escape hatch opens WebSockets WITHOUT weakening REST — scoped, or
it is a bypass wearing a migration label
- /health stays anonymous on both listeners — a documented exemption, pinned so
it stays a decision rather than an accident
The child inherits no RUVIEW_* variables (env_remove), or a developer's local
export would silently change what the test proves. Ports are reserved by
binding :0 and releasing, so a collision surfaces as a boot failure rather than
a false pass.
Tests: 5 new integration, 534 lib, 87 ruview-auth.
Co-Authored-By: Ruflo & AQE
(a) Test fixture still invented an `iss` claim.
`bearer_auth.rs`'s `token_with_scope` added `"iss": ISSUER` to its tokens.
Harmless today because the verifier ignores `iss` — but it is the same
fixture-invents-reality pattern that hid the original `iss` bug for a day,
sitting in the second-largest auth test suite. Removed, with a pointer to
ruview-auth's regression test.
(b) Cross-process refresh race -> session revocation.
The single-flight guarantee was per-PROCESS. Every CLI invocation is a new
process with its own Session and mutex over one shared credential file, so
two commands run close together inside the 60s refresh window would each
present the same rotating refresh token — and the second is replay, which
identity answers by revoking the whole session family. The user gets logged
out for running two commands at once.
Now guarded by an advisory file lock, taken NON-BLOCKING. A busy lock means
another process is already refreshing, so we wait and re-read its result
rather than race it (20 x 150ms, then proceed anyway — the lock is advisory,
not a correctness barrier, and a dead holder must not wedge us). Blocking on
the lock would have parked the async executor, which is the exact mistake
just fixed in jwks.rs.
Unix only. On other platforms it is a documented no-op — a lock that does
nothing while claiming to protect is worse than none.
(c) One principal could exhaust the global ticket pool.
The 512 cap was global with no per-caller quota, so a single authenticated
`sensing:read` client looping on POST /api/v1/ws-ticket could hold every
slot for 30s and 503 everyone else — denial of service by the
lowest-privilege account the product issues. Added a 16-ticket
per-principal cap; a page needs a handful. Test asserts a noisy user hits
its own cap while a second user is still served and the global pool is
never exhausted.
(d) Debug impls printed live credentials.
`AuthState` derived Debug over the raw RUVIEW_API_TOKEN and
`StoredCredentials` over both OAuth tokens. Not leaking today — I checked
every call site — but this PR had already hand-written redacting Debug for
`OAuthState` and `TicketStore` for exactly this reason, and the two types
actually holding secrets were the ones that missed out. Both now redact.
Tests: 87 ruview-auth (2 new: lock exclusivity + non-blocking, Debug
redaction), 534 sensing-server (1 new: per-principal quota).
Co-Authored-By: Ruflo & AQE
Found by reading cognitum-one/freetokens, a live sibling service whose browser
OAuth landed while this PR was open. Its integration contract states the
platform rule outright:
"Cognitum access tokens intentionally use custom `client_id` rather than a
registered JWT `aud` claim." -- freetokens docs/AUTH_INTEGRATION.md
and `src/auth/oauth.ts` enforces it on every sign-in:
payload.client_id !== config.OAUTH_CLIENT_ID -> reject
RuView did not. An earlier revision here removed the `client_id` check and kept
it only for logging, reasoning that clients borrow one another's registrations
(musica shipped as `meta-proxy` while its own was pending) and that scope alone
must therefore carry the boundary. That reasoned from a TRANSITIONAL state:
RuView has its own registered client (identity migration 0017), and the platform
does have an audience mechanism — it is simply spelled `client_id`.
Consequence of the old behaviour: a Cognitum access token minted for ANY product
— meta-proxy, musica, metaharness, freetokens — was accepted by a RuView server
provided it carried a sensing scope. Scope was the only thing standing between
another product's token and this one. Now there are two boundaries, audience and
capability, which is what the platform intends.
- `VerifierConfig.allowed_client_ids`; empty = accept any (explicit opt-out).
- `RUVIEW_OAUTH_CLIENT_IDS` env, default `ruview`, `*` to disable with a loud
warning naming what is being given up. Comma-separated for the migration case
where a borrowed registration must be accepted alongside our own.
- New `VerifyError::WrongAudience`, checked BEFORE scope, so the failure names
the real reason rather than blaming the scope.
The existing cross-product test now asserts `WrongAudience` rather than
`MissingScope` — the token is refused for the stronger reason. Three new tests:
a correctly-scoped token from another product is still refused; the empty-list
opt-out accepts anything (pinned so it stays deliberate); multiple allowed
clients work.
This also corrects the module docs and ADR-271, which claimed "scope is the ONLY
capability boundary" — true of the code as written, but not of the platform.
Tests: 85 ruview-auth, 533 sensing-server.
Co-Authored-By: Ruflo & AQE
All three are my own drift — the exact failure this session criticised in other
repos' ADRs and then reproduced.
1. ADR-271 §2 still listed "`iss` matches the configured issuer verbatim" in the
accept-rule. That rule was removed from the code in 12635a85 because Cognitum
issues no `iss` and it rejected every real token. The ADR's own "Facts about
the tokens" section 30 lines above already said tokens carry no `iss` — the
document contradicted itself for a day. Also removed a claim that tests cover
"issuer mismatch including a trailing-slash-only difference"; that test was
deleted with the rule and no longer exists.
2. `ruview-auth/src/lib.rs:59` said "**No login flow.** ... this crate only
verifies" — 15 lines above `pub mod login;`. Now states the accurate thing:
the login flow is behind the non-default `login` feature, so a verifying
server never compiles it.
3. ADR-271's scope table still described the old prefix-denylist admin set.
Replaced with the fail-closed rule that actually ships, including why:
`/api/v1/adaptive/train` was reachable with `sensing:read`.
Also records a KNOWN INCOMPLETE that the ADRs previously implied was done: the
browser cannot obtain an OAuth token at all. `wifi-densepose login` writes
~/.ruview/credentials.json, which a browser cannot read; the UI reads
localStorage['ruview-api-token'], populated only by the manual-paste
QuickSettings panel. `grep -ril "oauth|cognitum|pkce" ui/` returns nothing.
So the WebSocket ticket mechanism ADR-272 introduces "for browsers" is today
only exercisable with the legacy static shared secret OAuth was meant to
replace. Server-side gating is correct and complete; the browser half of the
story these ADRs tell is not built. Recorded rather than left implied.
Co-Authored-By: Ruflo & AQE
Two charges from an adversarial multi-vendor review (qe-court). Both verified
in source before fixing.
--- 1. AUTHORIZATION BYPASS: POST /api/v1/adaptive/train reachable with read ---
`required_scope_for` enumerated admin routes by prefix (`/api/v1/train/`, plus
DELETE on models/recording) and let EVERYTHING ELSE fall through to
`sensing:read`.
`POST /api/v1/adaptive/train` (main.rs:8112 -> handler main.rs:5028) calls
`adaptive_classifier::train_from_recordings()`, writes the model to disk with
`model.save()`, and swaps `state.adaptive_model` used by the live inference
pipeline. It does not start with `/api/v1/train/`, so it landed on
`sensing:read` — the scope `wifi-densepose login` requests BY DEFAULT. Exactly
the blast radius the read/admin split exists to prevent, reachable by the
lowest-privilege token the product issues.
Fixed by inverting the polarity, which is the real defect — a denylist for a
security gate keeps missing routes as routes keep being added:
GET/HEAD/OPTIONS -> sensing:read
any other method -> sensing:admin
...unless the exact path is in READ_SAFE_MUTATIONS (an explicit allowlist of
mutations that change runtime state but destroy nothing: ws-ticket,
model load/unload/activate, calibration start/stop, recording start/stop,
vendor event ingest)
A mutating route added tomorrow is now admin-gated by default. Pinned by
`an_unknown_mutating_route_defaults_to_admin`. `POST /api/v1/ws-ticket` is
allowlisted deliberately and has its own test: were it admin, the read scope
could never open a stream from a browser at all.
Enumerated all 17 mutating /api/v1 routes to build the allowlist rather than
guessing. `POST /api/v1/config/ground-truth` now requires admin — a deliberate
tightening, it writes config.
--- 2. DoS: blocking JWKS fetch under std::sync::Mutex in async middleware ---
Filed INDEPENDENTLY by two prosecutors, which is why it gets fixed rather than
argued about.
`decoding_key_for` locked a `std::sync::Mutex` and held it across a blocking
`ureq` call (3s timeout, longer on a dead link), invoked from inside the async
`require_bearer`. `Mutex::lock()` in an async fn is a blocking syscall, not a
yield point — so one slow JWKS fetch blocked EVERY concurrent request on that
mutex, including ones carrying already-cached valid tokens, and parked the
tokio workers running them. On Pi-class hardware with few workers that stalls
the whole server. It fires on the routine 300s TTL rollover whenever the link
is degraded — the exact offline case the module exists to tolerate. Reachable
by anyone able to send a syntactically valid ES256 header with an unknown kid,
since kid lookup precedes signature verification.
Now three phases: read under the lock, RELEASE, network, re-take only to
install. Cost is a possible duplicated idempotent GET during a rollover, which
is strictly better than serialising every request behind one socket. The
codebase already uses spawn_blocking for outbound I/O elsewhere
(main.rs:2490, 5272); moving verification fully onto spawn_blocking remains a
follow-up — this removes the amplification, not every blocking millisecond.
Tests: 533 sensing-server (7 new scope-polarity), 82 ruview-auth.
Co-Authored-By: Ruflo & AQE
The previous commit claimed WebSocket upgrades were gated. They were not. Found
by an adversarial cross-vendor review, reproduced, and fixed here.
MEASURED BEFORE (auth ON via RUVIEW_API_TOKEN, no credential presented):
HTTP port :3991 /ws/sensing -> 401 (what the previous fix covered)
HTTP port :3991 /ws/field -> 101 HOLE
WS port :3990 /ws/sensing -> 101 HOLE
WS port :3990 /ws/field -> 101 HOLE
control :3991 /api/v1/models -> 401
Two independent defects, both from the same root cause — routes registered
AFTER an axum `.layer()` are silently exempt from it:
1. The dedicated WebSocket server on `--ws-port` was built with ONLY
`host_validation::require_allowed_host`. `require_bearer` was never applied
to it at all. My earlier verification only ever probed the HTTP port and I
generalised from it.
This is the worse of the two, because it is the port the UI actually uses:
`ui/services/sensing.service.js` maps HTTP 8080 -> WS 8765. So the previous
fix protected a path the browser never takes, while the path it does take
stayed open.
2. On the HTTP router, `/ws/field` (ADR-262) was `.merge()`d AFTER the
`require_bearer` layer, so it bypassed authentication entirely. The auth
layer is now applied after the merge, and the comment says why the ordering
is load-bearing.
MEASURED AFTER, same conditions:
:3989 /ws/sensing -> 401 · :3989 /ws/field -> 401
:3988 /ws/sensing -> 401 · :3988 /ws/field -> 401
with bearer on the upgrade: 101 on both ports
ticket minted at POST /api/v1/ws-ticket on the HTTP port and redeemed on the
WS port: 101 (AuthState shares its TicketStore via Arc)
auth OFF: 101 — unchanged, no regression
526 sensing-server tests still pass.
TEST GAP, stated rather than papered over: no automated test covers this. The
defect is in router WIRING in main.rs, not in logic a unit test reaches — both
holes were invisible to 526 green tests and to the ws_gate_tests suite, which
builds its own Router and therefore cannot see how the real one is assembled.
Catching this class needs an integration test that boots the binary and probes
BOTH ports; that is the honest follow-up.
Co-Authored-By: Ruflo & AQE
Completes ADR-272. Three parts.
1. PREFIX MATCHING, not an allowlist. Anything under `/ws/` is a WebSocket path,
plus `/api/v1/stream/pose` which lives outside it. An allowlist means every
WebSocket route added later ships ungated until someone remembers to extend
it — the same bug reintroduced on a delay. Not hypothetical:
`/ws/train/progress` (ADR-186, arriving with PR #1387) is ALREADY referenced
by ui/services/training.service.js and would have shipped unauthenticated.
Pinned by a test that asserts it is gated before it exists.
2. UI wiring. A shared `withWsTicket()` helper mints a ticket immediately before
each connection attempt — never cached, because a ticket is single-use and
expires in seconds, so reusing one across reconnects fails on the second
attempt. Wired into the three sites that open gated sockets:
sensing.service.js, websocket-client.js, observatory/js/main.js.
It degrades in both directions on purpose: no stored token means auth is off
and no ticket is needed; a 404 from /api/v1/ws-ticket means a server
predating this ADR, which still exempts WebSockets, so connecting without a
ticket is correct there. The same UI therefore works against old and new
servers, which is what makes the escape hatch removable later rather than
permanent.
The long-lived bearer token is still never put in a URL — only the ticket is.
3. ADR-272 itself. Previously cited in five places without existing; the same
dangling-reference mistake made with ADR-271 earlier today, so it is written
before this lands rather than after someone notices.
It records the measured before/after, why a credential in a URL is
acceptable here specifically (single use, seconds-long, not the credential),
why the escape hatch exists and why it is deliberately uncomfortable, and
what is deliberately NOT done — including that /health/metrics stays ungated,
with the caveat that this should be revisited if metrics ever carry
occupancy-derived values, since that would make them sensing data wearing an
ops label.
Tests: 526 sensing-server (4 new path-matching), 82 ruview-auth. JS
syntax-checked with `node --check`; there is no UI test suite to extend.
Co-Authored-By: Ruflo & AQE
Closes the hole measured in 7d6d6694. Before, with RUVIEW_API_TOKEN set, a real
handshake carrying no credential:
/ws/sensing 101 · /ws/introspection 101 · /api/v1/stream/pose 101
(/api/v1/models correctly 401)
After, same server, same handshake:
/ws/sensing 401 · /ws/introspection 401 · /api/v1/stream/pose 401
bearer on the upgrade -> 101
POST /api/v1/ws-ticket then ?ticket=<value> -> 101
the same ticket replayed -> 401
a bogus ticket -> 401
POST /api/v1/ws-ticket unauthenticated -> 401
Two ways in, matching what each client can actually do:
- Native clients (Python, Rust CLI, TS MCP) send a normal Authorization header
on the upgrade. They were never browser-constrained; forcing them through a
ticket would add a round-trip and a second credential path for nothing.
- Browsers cannot set that header, so they exchange their credential at
POST /api/v1/ws-ticket — an ordinary request, where they can — for a 30s
single-use ticket passed as ?ticket=.
A ticket inherits the issuing principal's scopes, so a sensing:read session
cannot mint one that outranks itself, and it is not a REST credential: pinned
by a test that `?ticket=` on /api/v1/models is still 401.
ESCAPE HATCH (RUVIEW_WS_LEGACY_UNAUTHENTICATED=1) restores the old behaviour
for deployments that cannot update server and UI in lockstep. It is a migration
aid, not a supported configuration, and it says so on every boot in a warning
that names the actual exposure ("the live sensing stream — presence, pose and
vital signs — is readable by anyone who can reach this port"). Its blast radius
is exactly the WebSocket paths: a test pins that it does not weaken REST.
The flag is read once at construction, so a mid-flight environment change
cannot silently open these paths on a running server.
SUPERSEDES the PR #1313 test `enabled_exempts_pose_stream_websocket`, which
asserted the old exemption. Its reasoning about browsers was correct; the
conclusion was not. Renamed and inverted rather than deleted, with the history
in the doc comment — and the half that still matters (the WebSocket rule must
not leak to other /api/v1/* paths) is kept.
Deployments with auth OFF see no change at all — pinned by a test.
Tests: 522 passed in the sensing server (9 new WS-gating, 12 ticket-store).
STILL OUTSTANDING for ADR-272: the browser UI does not yet fetch a ticket, so
it needs the escape hatch until ui/services/api.service.js is updated. That is
the next commit, not a permanent state.
Co-Authored-By: Ruflo & AQE
Audit finding this exists to close — verified empirically, not inferred. With
RUVIEW_API_TOKEN set (operator believes auth is ON), a real WebSocket handshake
carrying NO credential:
/ws/sensing -> 101 Switching Protocols
/ws/introspection -> 101 Switching Protocols
/api/v1/stream/pose -> 101 Switching Protocols
/api/v1/models -> 401 (control: REST is correctly gated)
The REST control plane is locked while the DATA plane — live presence, pose and
vitals — is open to anyone who can reach the port. Two of those paths sit
outside PROTECTED_PREFIX entirely; the third is the documented EXEMPT_PATHS
entry. The exemption was reasonable when added (a browser cannot set
Authorization on an upgrade) but its blast radius is larger than it looks, and
phase 3 sharpened the contrast by making REST genuinely strong.
(To be precise about what was proven: the handshake is accepted. A payload
frame was not captured in that window, so this is "the connection is
established without a credential", not "data was read".)
This commit adds only the store; wiring it into the middleware is a breaking
change for browser clients and lands with the UI update.
Design notes:
- Single use. `consume` REMOVES the entry, so a replay of the same URL fails
even inside the TTL. This is what makes a credential-in-a-query tolerable:
by the time it reaches an access log or a Referer header, it is spent.
- 30-second TTL. Long enough for a page to open a socket; too short to harvest.
- It is not the credential. It authorizes one WebSocket. It cannot be replayed
against /api/v1/*, cannot be refreshed, and carries no reusable identity.
- The grant captures the ISSUING principal's scopes, so a WebSocket inherits
exactly the authority of the credential that asked for it — a sensing:read
session cannot mint a ticket that outranks itself.
- Capped at 512 outstanding, self-healing as tickets expire, so an
authenticated but misbehaving caller cannot grow the map without bound.
- In-memory because that is correct, not merely convenient: a ticket surviving
a restart would outlive the server that vouched for it.
Native clients (Python, Rust CLI, TS MCP) are NOT browsers and will send a
normal Authorization header on the upgrade instead — tickets would add a
round-trip and a second credential path for no benefit.
12 tests: single-use enforced, replay refused, expiry refused AND pruned,
unknown ticket refused, 256-bit unpredictability, grant carries issuer scopes,
cap enforced and self-healing, and query parsing including `?myticket=x` not
being read as `?ticket=x`.
Co-Authored-By: Ruflo & AQE
Two gaps that only appear with a credential file written by an earlier build —
i.e. exactly the case a fresh-login test never exercises.
1. `whoami` printed "Scope: (not reported)" for an existing file. The previous
commit resolved scope from the token claim at WRITE time only, so files
written before it stayed blank forever. `effective_scope()` now falls back at
READ time, which fixes existing files and any client that stored only what
the token response carried. The token is authoritative either way; the stored
field is a convenience copy.
2. `whoami` said the token "will refresh on next use" — a promise nothing kept,
because no command called `ensure_fresh`. The refresh path was implemented
and unit-tested but never actually run. `--refresh` exercises it, and goes
through `Session::ensure_fresh` rather than reimplementing a second, subtly
different refresh, so it inherits the single-flight guarantee and the
persist-before-return ordering.
It is a flag, not silent behaviour: refreshing rotates the stored refresh
token — identity spends the old one — so it is a state change, not a read.
VERIFIED AGAINST PRODUCTION, end to end:
whoami on a pre-existing file -> Scope: sensing:read (was "not reported")
whoami --refresh -> both tokens rotated
refresh sha256[:12] 50cfa06b -> 2d37617a
access sha256[:12] 61eebe8d -> 14d8e8de
status: expired -> valid
refreshed token GET /api/v1/models -> 200
refreshed token POST /api/v1/train/start -> 401 (still read-scoped)
That exercises the rotating-refresh path against identity's real reuse
detection — the one place a bug costs the user their session rather than a
retry — and confirms the scope gate survives a refresh.
Tests: 82 with --features login, 44 default, 501 sensing-server.
Co-Authored-By: Ruflo & AQE
The verifier called `Validation::set_issuer` and listed `iss` in
`set_required_spec_claims`. Cognitum access tokens have **no `iss` claim** — the
real claim set is typ, sub, account_id, org_id, workspace_id, client_id, scope,
family_id, jti, iat, exp, setup, workload. So the verifier rejected every
genuine token with a flat 401.
The whole 41-test suite was green throughout, because the test fixtures included
an `iss` the real thing does not have. The tests validated my assumption instead
of the platform. Found only by pointing a real token at a real server; no amount
of additional unit testing against the same wrong fixture would have caught it.
`valid_claims()` now mirrors production exactly, with a comment saying why, so
the next person cannot reintroduce the drift by "fixing" an incomplete-looking
fixture.
What binds a token to its issuer, then: the JWKS. We accept only signatures made
by a key served from the configured jwks_uri, so a valid signature IS proof of
issuer. meta-llm's verifier — the org's only other resource-side verifier —
checks neither `iss` nor `aud`, for the same reason. `VerifierConfig.issuer`
stays, now documented as JWKS-derivation and logging rather than a claim
assertion.
Three tests replace the two that asserted issuer behaviour that cannot exist:
a real-shaped (iss-less) token verifies; an unrelated `iss` changes nothing (so
identity adding one later cannot silently start failing tokens); and a token
signed by a different key is still refused — the complement that proves removing
the issuer check did not remove the boundary.
Also: report the granted scope from the token's `scope` claim when the
/oauth/token envelope omits it, which identity's does. `login` and `whoami` said
"(not reported by the server)" while the authoritative answer sat inside the
token they had just stored. The claim-peek helper is display-only and documented
at length as NOT verification — a client reading its own freshly issued token is
a different situation from a server reading a stranger's.
VERIFIED END TO END against production (gate G-3, previously open):
no credential GET /api/v1/models -> 401
garbage bearer GET /api/v1/models -> 401
real sensing:read token GET /api/v1/models -> 200
real sensing:read token GET /api/v1/recording/list-> 200
real sensing:read token POST /api/v1/train/start -> 401
real sensing:read token POST /api/v1/train/stop -> 401
Token obtained by a human through `wifi-densepose login` against
auth.cognitum.one; server ran with RUVIEW_OAUTH_ISSUER set, JWKS fetched live
at boot (key_count=1).
Tests: 82 with --features login (58 unit + 22 matrix + 2 doctests).
Co-Authored-By: Ruflo & AQE
The ADR said the login flow was "not in this crate". It is now, gated behind a
non-default `login` feature. The original line existed to keep the sensing
server lean; a feature gate achieves that without forcing the Tauri desktop app
to grow a second copy of a PKCE + rotating-refresh implementation — the kind of
duplication that drifts and then disagrees about something subtle.
Recording the change rather than letting the ADR quietly go stale, which is the
exact failure this session hit twice in other repos' ADRs.
Co-Authored-By: Ruflo & AQE
Phase 1 could verify a token and phase 3 could gate on one, but there was no
way for a user to OBTAIN one. This closes that: sign in with a Cognitum account
and get a token a RuView sensing server accepts, instead of everyone sharing
one static RUVIEW_API_TOKEN string.
Lives in `ruview-auth` behind a non-default `login` feature rather than in the
CLI, so the Tauri desktop app can reuse it instead of growing a second copy.
A server built with default features still gets the verifier and nothing else —
no reqwest, no tokio net, no browser launcher. (This amends ADR-271's "no login
flow in this crate" note; the reason for that line was to keep the server lean,
and a feature gate achieves it without duplication.)
Ported from meta-proxy's src/oauth/, cross-checked against musica's
cognitum_provider.rs — two independent implementations against this same AS.
Where they agree, this follows both: redirect path EXACTLY /oauth/callback,
60-second refresh skew, OOB fallback on SSH/CONTAINER//.dockerenv.
Refresh is the part with teeth. Identity rotates refresh tokens with reuse
detection, so presenting a spent one revokes the whole session family. Both
obvious implementations are wrong: refreshing concurrently looks like replay,
and retrying a failed refresh with the same token IS the replay. So
`Session::ensure_fresh` holds an async mutex across the await, re-checks expiry
after acquiring it (the waiter usually finds the work already done), persists
the rotated token BEFORE returning it, and never retries. A missing expires_at
counts as expired rather than being given a guessed default.
Least scope by default: `login` requests `sensing:read`. `--admin` adds
`sensing:admin` explicitly, and requests both because there is no scope
hierarchy server-side. A session that streams poses should not casually hold
the capability to delete the model it streams through.
Credentials are written atomically and 0600 (temp file, chmod BEFORE rename) —
the same discipline the seed applies to its cloud key. `logout` is local-only
and says so: it makes this machine unable to act as you, but revoking the
session everywhere is an account-level action.
Also `whoami`, which reports whether the stored token is live — an
expired-looking session is the most common reason a command starts 401ing, and
it should be visible directly rather than inferred from a failure elsewhere.
Verified against PRODUCTION, not just locally: authorize URLs built by this
exact code path return HTTP 200 from auth.cognitum.one for both
`sensing:read` and `sensing:read sensing:admin`, which exercises the real
client_id, scope encoding, PKCE parameters and redirect_uri shape.
Tests: 74 with --features login (51 unit + 21 verifier matrix + 2 doctests),
including the RFC 7636 Appendix B vector, multi-scope URL encoding (a space
that is hand-formatted rather than encoded silently truncates the request), a
real TCP callback round-trip, callback timeout, 0600 permissions asserted on
disk, atomic-save leaving no temp file, and refresh-window boundaries.
Unchanged: 43 with default features, 501 in the sensing server.
Co-Authored-By: Ruflo & AQE
SensingClient now accepts a `token=` argument, defaulting to the
RUVIEW_API_TOKEN env var, and sets `Authorization: Bearer <token>`
directly on the WebSocket upgrade — no browser-style ticket workaround,
since Python can set the header on the handshake. Empty/unset token
means no auth (auth-disabled path unchanged).
websockets version-compat: the header keyword was renamed in the
`>=12.0` range this package pins (`extra_headers` <= 13,
`additional_headers` >= 14). Resolved by runtime detection —
`_select_header_kwarg()` inspects `websockets.connect`'s signature and
passes the correct keyword — rather than raising the floor to `>=14`.
Chosen deliberately so existing users on older websockets are not forced
to upgrade; keeps the `websockets>=12.0` pin valid.
Scope: only ws.py connects to the auth-enabled sensing-server. mqtt.py
already supports username/password (its own auth convention); ha.py and
primitives.py do no network I/O. OAuth (ADR-271) is out of scope.
Tests: constructor token, env-var token, constructor-overrides-env,
no-token/empty-token (no header), a parametrized test across both
websockets kwarg conventions, and an end-to-end test asserting the
bearer reaches the in-process server's upgrade request.
Wires `ruview-auth` into `bearer_auth.rs`. `RUVIEW_OAUTH_ISSUER` enables it;
unset, nothing changes.
Layering, in order:
1. `RUVIEW_API_TOKEN` set and the bearer matches exactly -> allow. Byte-for-
byte today's behaviour.
2. Otherwise, if OAuth is configured, verify the bearer as a Cognitum access
token and require the scope the route needs.
3. Otherwise 401.
The static compare goes first for compatibility, not security: a matching
static token is not a JWT and a JWT never matches the static token. It means an
existing deployment behaves identically even with OAuth switched on.
Scope gate (`required_scope_for`), split by blast radius per ADR-060 —
"can this destroy something", not how many routes it covers:
sensing:admin /api/v1/train/* (hours of Pi CPU, writes models)
DELETE /api/v1/models/{id} (irreversible)
DELETE /api/v1/recording/{id} (irreversible)
sensing:read everything else
Deliberately NOT admin: model load/unload and recording start. They mutate
server state but destroy nothing, and gating them would push routine dashboard
use into requesting delete capability — the opposite of least privilege.
The legacy static token stays un-scope-gated. It predates scopes and carries no
claims, so narrowing it would be a silent breaking change to deployments using
it; migrating to OAuth is how an operator opts into the finer split.
FAIL CLOSED at boot. If OAuth is requested but cannot work — empty issuer, or a
JWKS we cannot fetch — the server logs why and exits rather than serving.
Starting anyway would silently downgrade an operator who asked for OAuth to
either an open API or a shared-secret one, with no signal it happened. The JWKS
is warmed eagerly for the same reason: a bad `jwks_uri` should die at boot with
a legible message, not surface as a puzzling 401 an hour later.
The verified `Principal` is attached to request extensions, so handlers and
audit logs can attribute a request (`sub`, `account_id`, `org_id`,
`workspace_id`, `jti`) instead of knowing only "someone had the secret". That
is the point of moving off a shared bearer.
Verification failures are logged with the reason and returned as a flat 401 —
the reason is useful to an operator and equally useful to an attacker probing
for which claim to forge next.
Also aligns `ruview_auth::extract_bearer` to match the scheme
case-insensitively (RFC 7235 §2.1). The sensing server has always done this
deliberately, with a comment saying why; the two layers disagreeing about what
a valid header looks like would be a latent bug.
Tests: 16 new in `bearer_auth::oauth_tests`, driving a real Router end to end
(request -> middleware -> verifier -> handler) with ES256 tokens signed by a
runtime-generated key. Covers the scope policy as a pure function, read-scoped
tokens refused on delete and train, admin-scoped tokens allowed, an
`inference`-only token from another Cognitum product refused on every route,
garbage and absent bearers, both legacy-token layering directions, the
principal reaching a handler, and the unset case remaining a no-op.
`cargo test -p wifi-densepose-sensing-server --lib --no-default-features`:
501 passed, 0 failed. `ruview-auth`: 43 passed across both feature configs.
Co-Authored-By: Ruflo & AQE
The previous commit referenced ADR-271 in five places without the ADR existing.
This writes it.
Records the decision and, more importantly, the direction — RuView verifies
tokens users present, it does not obtain tokens to call Cognitum. Every other
Cognitum OAuth integration in the org is the client side of a plane RuView does
not have; the sole relevant precedent is meta-llm's oauthBearer.ts.
Covers: why offline verification is a requirement rather than an optimisation
(Pi-class hosts lose WAN, and no introspection endpoint exists); why the
accept-rule is a port and not a design; why long-lived setup/workload
credentials are refused (no database to check revocation); why scope — not
`aud`, not `client_id` — is the capability boundary; and the alternatives,
including the `cog_`-minting approach that was tried org-wide and found broken
against production.
Co-Authored-By: Ruflo & AQE
RuView's `/api/v1/*` is gated today by `RUVIEW_API_TOKEN`: one shared secret,
no expiry, no per-user attribution. This adds the verifier half of replacing
that with Cognitum identity — RuView as an OAuth **resource server**, so a user
signs in to their own sensing server with their Cognitum account.
Note the direction: RuView does not call Cognitum. It never obtains a token for
its own use; it verifies tokens users present. Every other Cognitum OAuth
integration in the org (meta-proxy, musica, metaharness, the dashboard CLI) is
the client side of a plane RuView doesn't have. The one existing resource-server
verifier is `meta-llm/src/auth/oauthBearer.ts`, and this crate is a port of its
accept-rule — divergence would be a bug, not a preference: a token meta-llm
rejects must not be one RuView accepts.
Verification is OFFLINE, and that is a requirement rather than an optimisation.
RuView runs on Pi-class hardware that loses WAN, and identity publishes no
introspection endpoint even when the network is up. So: ES256 over identity's
published JWKS, cached by `kid`.
What it accepts, mirroring oauthBearer.ts:
typ == "access" AND NOT setup AND NOT workload AND account_id non-empty AND
exp in the future AND iss matches verbatim AND the required scope is held.
Long-lived setup (365-day) and workload credentials are refused outright for
identity's own stated reason: their revocation lives in `oauth_setup_tokens`,
and RuView — like meta-llm — has no database to check it. A 15-minute access
token needs no revocation round-trip because it expires faster than revocation
propagates; a 365-day one does.
Scope is the capability boundary, and it has to be. Cognitum access tokens carry
no `aud`, and `client_id` cannot substitute because clients borrow each other's
registrations (musica ships DEFAULT_CLIENT_ID = "meta-proxy"). `sensing:read`
covers streams and inference; `sensing:admin` covers training, model delete and
recording delete. No hierarchy — admin does not imply read; consent means what
it said. Registered in identity migration 0016 (cognitum-one/dashboard#116).
Design notes:
- `ureq`, not `reqwest`: the sensing server deliberately chose ureq as "the
smallest" HTTP client, and pulling reqwest in here would reverse that for the
whole graph. Transport sits behind a `JwksFetcher` trait, so a host can supply
its own and take no HTTP dependency at all (feature `ureq-transport`, default).
- A JWKS refetch failure is survivable while a key set is already cached: a key
that verified a minute ago has not stopped being valid because the network
blipped, and failing closed there logs every user out of their own sensing
server whenever their internet wobbles. We fail closed in exactly one case —
no key set has ever been fetched.
- Unknown `kid` forces one refetch so rotation is picked up without waiting out
the TTL, rate-limited so junk-kid tokens can't become a request amplifier
aimed at identity.
- Expiry is reported distinctly from a bad signature: on an RTC-less Pi that is
usually a clock-sync fault, and an operator must be able to tell them apart.
- Test keypairs are generated at runtime, never committed. This repo tracks zero
`.pem` files and committed key material shouldn't start here — it also means
no fixture can drift out of sync with the JWKS it's served by.
Tests: 41 green (19 unit + 21 matrix + 1 doctest) under BOTH
`cargo test --no-default-features` (the repo's canonical gate) and default
features. The matrix signs real ES256 tokens rather than asserting on strings,
and covers alg:none, forged signature, spliced payload, unknown kid, expired,
leeway boundaries both sides, wrong issuer, issuer differing only by a trailing
slash, missing/!=access typ, setup and workload smuggled onto typ=access,
missing and empty account_id, and scope escalation.
The highest-value case is `g2_a_genuinely_valid_token_from_another_cognitum_
product_cannot_reach_the_sensing_surface`: a correctly signed, unexpired,
right-issuer, right-typ token with client_id=meta-proxy and scope=inference is
rejected. Nothing about its signature or identity claims distinguishes it — only
scope does. A naive verifier accepts it, and an `inference` token becomes a key
to someone's home sensor.
No wiring into the sensing server yet; this crate is verification only, with no
login flow and no outbound Cognitum calls.
Co-Authored-By: Ruflo & AQE
The python/ PyO3+maturin wheel (wifi-densepose, ADR-117/185) had ZERO
per-PR CI coverage: pip-release.yml only fires on release triggers, so a
PR could break the wheel build, a native-Rust parity test, or the wheel
budget and nothing in the gating CI would catch it until release day.
New .github/workflows/python-ci.yml (path-scoped to python/** + the
backing crates, following the repo convention cf. firmware-ci.yml --
GitHub has no per-job paths filter and no workflow here uses a
change-detection action, so a dedicated path-scoped workflow is the
idiomatic, no-new-dependency choice):
* parity-tests: cargo build of the aether/mat/train backing crates
(fast-fail attribution), then `maturin develop --features sota` +
`pytest python/tests/ -q`. sota builds the aether/meridian/mat
compiled submodules so their SHA-256 parity tests against native
Rust actually run (those test modules import the submodules at
collection time -- without the features they error, not skip).
* wheel-size-budget: builds the DEFAULT (no-features) wheel and fails
if it exceeds the ADR-117 5.4 5 MiB budget -- the real numeric
enforcement a string fix-marker cannot provide.
Two fix-marker guards (scripts/fix-markers.json):
* RuView#1387-rvf-filename-collision: training_api.rs next_model_id()
must keep the microsecond timestamp (%6f) + AtomicU64 counter; the
forbid uses a negative lookahead so it fires only on a bare
second-resolution format lacking the disambiguator. Guards the
CI-caught collision fixed on this branch in 8409f434c.
* RuView#1387-default-wheel-budget-config: default Cargo features
empty, SOTA deps optional, maturin strip=true -- the config that
keeps the default wheel small. Bytes are enforced by the CI job
above, not a string marker (per the marker system's limits).
Verification:
- python scripts/check_fix_markers.py -> All 27 fix markers present (0 regressed)
- all 26 .github/workflows/*.yml parse (yaml.safe_load, utf-8)
- cargo build -p wifi-densepose-aether -> Finished (exit 0)
- forbid regexes confirmed: fire on a simulated regression, clean on the current tree
Co-Authored-By: claude-flow <ruv@ruv.net>
Reverts the OIDC-only publish path from cc153e8b5. Restores password:
${{ secrets.PYPI_API_TOKEN }} on all four publish steps and drops the
id-token: write / environment: pypi blocks from publish-v2 and
publish-tombstone. OIDC-only is a net regression until the manual
pypi.org Trusted Publisher registration exists — publishing would fail
'no trusted publisher configured'. Token auth is the active working path.
OIDC design retained as documented TODO(ADR-184 P1b) in the header; the
switch becomes a dedicated gated follow-up once the owner confirms
registration. Restores compliance with fix-marker RuView#786-pypi-token-auth.
Refs ADR-184 P1.
Closes the ADR-185 §13.a follow-up (the tractable, data-independent one of
the three §6.7 gaps): the bound EmbeddingExtractor was random-Xavier-init
only, with NO way to load real weights — so it was structurally untrained.
This adds the *capability* to load weights whenever a trained checkpoint
exists. It does NOT itself produce trained/SOTA embeddings and does NOT
close §6.7 (still no trained checkpoint, no labeled data, no eval harness).
Serialization: not greenfield — EmbeddingExtractor already had
flatten_weights()/unflatten_weights() (flat Vec<f32>). wifi-densepose-aether
is a deliberately dependency-free std-only leaf crate (ADR-185 §13), so
rather than add safetensors/serde/bincode (which would undo the zero-dep
property), the on-disk format is raw little-endian f32 with a 12-byte header
(magic "AETHERW1" + u32 param count) — zero new deps.
Native (v2/crates/wifi-densepose-aether/src/embedding.rs):
- EmbeddingExtractor::save_weights(path) / load_weights(path). load_weights
never panics: errors on unreadable file, short/oversized payload, bad
magic, or a param-count mismatch (delegated to unflatten_weights).
- Default (no weights) construction is UNCHANGED — still random init,
clearly labeled untrained. Purely additive.
Python binding (python/src/bindings/aether.rs, .pyi):
- EmbeddingExtractor.load_weights(path) / save_weights(path) / param_count,
GIL-released, ValueError on bad input.
Tests (both Rust and Python, per the task):
- Rust unit (embedding.rs): load_weights_actually_replaces_weights_and_
round_trips proves the loaded weights MOVE the embedding away from the
random-init baseline (not a silent no-op), match the source extractor
(round-trip), and are bit-identical after the file round-trip; plus a
bad-magic/wrong-count rejection test.
- Cross-language golden (aether_weights_parity.rs + test_aether.py): a
shared deterministic weight formula (w[i]=k/65536-0.5, exact in f32+f64)
written to the AETHER format; both native Rust and the Python binding load
it and must produce the byte-identical embedding SHA-256
(tests/golden/aether_loaded_embedding.sha256) — proving the binding's
load path is bit-identical to native, and (vs the random baseline) that
the loaded weights are actually used.
Verified:
cargo test -p wifi-densepose-aether 98 passed, 0 failed
cargo test --features aether --test aether_parity
--test aether_weights_parity 3 passed, 0 failed
maturin develop --features aether + pytest test_aether.py 13/13 pass
default cargo build (no aether feature) clean
Root cause: the trained-model filename was `trained-{type}-{%Y%m%d_%H%M%S}` — a
**second-resolution** timestamp. Two training runs of the same type that finish
in the same wall-clock second compute the SAME path and silently overwrite each
other's artifact. This is a real robustness gap (a second rapid run clobbers the
first model), and it surfaced as a flaky test on the Linux CI runner:
`http_train_start_produces_model_and_streams` asserts (via a before/after
directory diff) that a new `.rvf` appeared, but the concurrent
`training_job_streams_real_progress_and_writes_model` test — same `supervised`
type, same second — wrote to the identical path and then deleted it in its own
cleanup, so the diff saw no new file. Windows scheduling happened to avoid the
same-second overlap; Linux CI hit it (the sibling `TRAIN_ENV_LOCK` holders then
failed via std::sync::Mutex poison-cascade after the first panic).
Reproduced locally by isolating the three model-writing tests (which forces the
overlap): ~10/20 runs flaked before; 0/30 after.
Fix: `next_model_id()` appends microseconds (`%6f`) plus a monotonic per-process
`AtomicU64` counter, so every run gets a distinct path even for same-microsecond
concurrent completions. Pinned by `model_ids_are_unique_per_call` (1000 ids, all
distinct) so the scheme can't regress to non-unique. No test-level band-aid
(no added sleeps / serialization) — the collision is removed at the source.
Verified: cargo test -p wifi-densepose-sensing-server -p wifi-densepose-train
--no-default-features — bin 218 passed / 0 failed, all suites 0 failed; the
isolated-tests stress loop is 0/15 flakes post-fix.
ADR-185 §13 flagged the `[aether]` wheel as linking the whole
`wifi-densepose-sensing-server` Axum/tokio/worldgraph/ruvector tree via the
non-optional deps of that crate. Hoist the pure-compute AETHER stack out so the
binding depends only on pure Rust.
New crate `wifi-densepose-aether` (std-only, ZERO external deps) holds the four
self-contained modules the AETHER surface needs — `embedding`, `graph_transformer`,
`sona`, `sparse_inference` (verified: no serde/tokio/axum/crate:: refs outside the
set; the four form a closed dependency graph). `wifi-densepose-sensing-server`
now `pub use`s them from the leaf crate, so its own code (`crate::embedding`, …)
and public API (`wifi_densepose_sensing_server::embedding`, …) are unchanged —
`main.rs`/`trainer.rs` untouched. The Python binding + parity test + `[aether]`
feature repoint at the leaf crate; the sensing-server dep is dropped from python.
MEASURED wheel size (maturin build --release --features aether --strip; each
wheel install-verified to actually contain `AetherConfig`):
BEFORE (aether -> sensing-server): 369,782 B (~361 KB)
AFTER (aether -> leaf crate): 319,719 B (~312 KB)
HONEST CORRECTION to the §9/§13 premise: the pre-hoist wheel was NOT over the
ADR-117 §5.4 5 MB budget — it was ~361 KB, ~14x under. Linker dead-code
elimination (--gc-sections on the pyo3 cdylib) already strips the unreached
server tree because the binding only reaches pure-compute symbols. So this is
"blows the budget" CLAIMED, not MEASURED. The hoist is still worthwhile and
lands the real, measured wins:
- `[aether]` build time 71s -> 12s (no server tree to compile),
- python/Cargo.lock -1238 lines (server tree no longer resolved),
- ~50 KB smaller wheel,
- honest, minimal declared dependency surface + removes the latent risk that a
future change makes some server code reachable and *then* bloats the wheel.
Verified this session (real counts):
- cargo test --features aether --test aether_parity: 2 passed / 0 failed
- pytest tests/test_aether.py (maturin develop --features aether): 9 passed
- cargo test -p wifi-densepose-sensing-server --no-default-features: 217 bin +
388 lib, 0 failed (no regression)
- cargo test -p wifi-densepose-aether: 96 passed (the relocated unit tests)
The §9/§13 wheel-size narrative in ADR-185 (owned by the ADR author) should be
corrected to reflect the measured reality — flagged to the team lead.
ADR-184 P2 (version promotion + changelog) — version-metadata prep only;
triggers NO publish (P3's real PyPI upload is still gated on the manual
Trusted Publisher registration on pypi.org).
- python/pyproject.toml: version 2.0.0a1 -> 2.0.0; classifier
"Development Status :: 3 - Alpha" -> "5 - Production/Stable".
- python/ruview-meta/pyproject.toml: version 2.0.0a1 -> 2.0.0; same
classifier bump; repointed the wifi-densepose dependency pins
(base + [client]) from ==2.0.0a1 to ==2.0.0 so the stable ruview
meta-package depends on the stable wifi-densepose, not the alpha.
- python/wifi_densepose/__init__.py: runtime __version__ 2.0.0a1 -> 2.0.0
(caught during the sanity check — it would otherwise contradict the
stable wheel version reported by `wifi_densepose.__version__`).
- CHANGELOG.md: [Unreleased] entry recording the promotion.
Sanity-checked that the core package genuinely deserves "Production/Stable"
(not just a version-string change):
maturin build --release --strip -> default wheel 279 KB
pytest python/tests/ (excluding [aether]/[meridian]/[mat] extra modules)
-> 185 passed, 0 failed (smoke/keypoint/pose/vitals/bfld/security/
WS+MQTT client)
post-bump: wheel installs as 2.0.0, __version__ = 2.0.0, smoke 6/6 pass.
No publish/tag/release commands were run.
Root cause (investigated, same rigor as the MAT fix): `wifi-densepose-train`
declared `wifi-densepose-nn` as a dependency but NEVER imported it anywhere
in src/ or bin/ — a dead dependency. (The tch-backend model path uses the
`tch` crate directly, not wifi-densepose-nn; `grep -r wifi_densepose_nn
src/` returns nothing.) That dead dep pulled `ort` (ONNX Runtime) +
reqwest/hyper into every downstream consumer, including the ADR-185
`[meridian]` wheel, which binds only train's pure-compute geometry /
rapid_adapt / eval modules + signal::hardware_norm.
`cargo tree -i wifi-densepose-nn` confirmed train was the SOLE path pulling
nn into the wheel; after removal, the package is absent from the graph.
Fix: remove the dead dep line from train's Cargo.toml (no code change, no
feature-gating needed — nothing referenced it). Not a hoist: the coupling
turned out to be nonexistent, not deep.
Measured (maturin build --release --features meridian --strip):
BEFORE: 1.8 MB AFTER: 1.7 MB (both already within the ADR-117 §5.4
<=5 MB budget). Honest note: unlike MAT — which instantiates OnnxSession
and thus bundles the ort native runtime (8.4 MB) — train never references
ort, so the native lib was dead-stripped and the wheel was already under
budget. The real win is removing ort/reqwest/hyper from train's dependency
graph and compile for ALL consumers, not a dramatic wheel shrink.
Verified:
cargo build -p wifi-densepose-train (default=[]) OK
cargo tree -i wifi-densepose-nn -> no longer in the graph
cargo test --features meridian --test meridian_parity 2/2 pass
maturin develop --features meridian + pytest test_meridian 13/13 pass
Root cause (investigated, not assumed): the heavy deps in a [mat] wheel
were NOT on the survivor-detection/triage path the Python binding uses.
`wifi-densepose-mat` pulled `wifi-densepose-nn` as a NON-optional dep, and
nn's default `onnx` feature drags in `ort` (ONNX Runtime) + its
download/reqwest/hyper stack. But nn is used ONLY by mat's `src/ml/`
module (debris + vital-signs ONNX classifiers), which is an OPTIONAL
runtime enhancement: `DetectionPipeline.ml_pipeline` is `Option<_>`,
created only when `DetectionConfig::enable_ml` is set, and
`from_disaster_config` (the DisasterResponse path) never enables it. So
the ONNX stack was compiled-and-linked but never executed by the binding.
Fix = feature-gating (not a hoist — a hoist was unnecessary):
- `wifi-densepose-nn` made optional; new `ml` Cargo feature gates it.
- `default = [..., "ml"]` so existing consumers are unchanged; `api`
implies `ml` (the REST surface exposes `ml_ready`).
- `#[cfg(feature = "ml")]` on the `ml` module, its crate-root + prelude
re-exports, the `MatError::Ml` variant, and every ml touchpoint in
detection/pipeline.rs (ml_config/ml_pipeline fields, constructor,
process_zone enhancement block, enhance_with_ml/get_ml_results/
initialize_ml/ml_ready/ml_pipeline accessors, update_config).
- Fixed a latent feature-unification bug surfaced by dropping nn:
integration/hardware_adapter.rs uses `tokio::select!`, which needs
`tokio/macros`. That was only satisfied transitively via nn; now
declared explicitly on mat's own tokio dep so --no-default-features
builds compile.
The ADR-185 [mat] wheel already depended on mat with
`default-features = false, features = ["std"]`, so no python/ change was
needed — dropping `ml` from the default now actually removes ort.
Measured (maturin build --release --features mat --strip):
BEFORE (ml/ort in wheel): 8.4 MB (over the ADR-117 §5.4 <=5 MB budget)
AFTER (ml gated off): 2.0 MB (under budget) — 76% smaller
Verified:
cargo build -p wifi-densepose-mat (default+ml) OK
cargo build -p wifi-densepose-mat --no-default-features --features std OK
cargo test --features mat --test mat_parity 2/2 pass
maturin develop --features mat + pytest tests/test_mat.py 7/7 pass
(same detection result: 1 survivor, triage Delayed — behavior-transparent)
Completes ADR-186 phases P5 (dashboard honesty / fallback guarantee) and P6
(tests + witness) on top of the P1–P4 reconnection, and flips the ADR to Accepted.
P5 — dashboard honesty:
- Backend (training_api): a runtime enablement gate (`RUVIEW_DISABLE_SERVER_TRAINING`)
makes the three start endpoints return a structured `{enabled:false, reason,
cli:"wifi-densepose train-room"}` HTTP 409 (never a silent success) when server
training is disabled; `/api/v1/train/status` now carries an `enabled` flag. A runtime
flag (not a Cargo feature) so `--no-default-features` builds keep training ON (resolves
§9.4). Handlers return `Response` to carry the 409.
- Frontend (TrainingPanel.js): reads `enabled` off the status payload and disables the
Start/Pretrain/LoRA buttons with a CLI tooltip when server training is off; a rejected
start tears down the optimistically-opened WS and refreshes. The enabled path was
already fully wired (opens the WS before POST, renders live epoch/loss/ETA + terminal
state) — verified.
P6 — tests & witness:
- New HTTP-level tests in a `#[cfg(test)] mod adr186_http_tests` built on a minimal
`AppStateInner::minimal()` test-state helper: a live-socket test that completes a
genuine 101 WebSocket handshake (tokio-tungstenite) and receives a real progress frame
after a POST start; a 426-not-404 route-wired check; a full POST→poll-status→`.rvf`-exists
round-trip; and the disabled-409 structured-response test. Added `tokio-tungstenite`
dev-dep (version already in the workspace lock).
- CHANGELOG updated; ADR §6 ledger + §7 acceptance criteria checked off with evidence;
Status → Accepted. README/CLAUDE have no training route table (no edit needed).
Fixed a test-only parallelism race found under `cargo test --workspace`: two
model-writing tests deleted `.rvf`s by directory-diff and could remove a file a third
test asserted existed. Each test now cleans only its own artifact (data/models is
gitignored).
Verified this session: `cargo test -p wifi-densepose-sensing-server -p wifi-densepose-train
--no-default-features` — sensing-server bin 217 passed / 0 failed, all train suites 0
failed. Full `--workspace` re-run in progress to reconfirm untouched crates.
ADR-185 §4.2 pytest-benchmark micro-benchmarks + runnable examples +
README extras table for the aether/meridian/mat bindings.
- python/bench/test_bench_{aether,meridian,mat}.py — follow the existing
test_bench_vitals.py pattern (skipped by default; --benchmark-only).
- python/examples/{reid_from_csi,cross_room_calibrate,mat_triage}.py —
typed, runnable, mypy --strict clean.
- python/README.md — SOTA extras table + example links.
Measured on a RELEASE wheel (maturin develop --release --features sota),
reference machine per ADR-117 §10:
AETHER embed() mean ~150 us/window (target <2 ms) PASS
batch scaling 1/8/64: 140 / 1091 / 8509 us (linear, no O(n^2)) PASS
MERIDIAN normalize() mean ~2.2 us/frame (target <200 us) PASS
MERIDIAN encode() mean ~6.9 us (target <200 us) PASS
MAT ingest+scan_once() mean ~40 ms/256-frame (< 500 ms interval) PASS
Acceptance self-verification (ADR-185 §6), all run just now:
§6.1 default wheel 279 KB (<=5 MB); build_features has no p6-* feature PASS
§6.2 pytest tests/test_aether.py 9/9 PASS
§6.3 pytest tests/test_meridian.py 13/13 PASS
§6.4 pytest tests/test_mat.py 7/7 PASS
§6.5 benchmarks meet all targets (above) PASS
§6.6 parity harness: 3/3 SHA golden gates green (cargo test --features
sota, 6/6); CI *wiring* as a release gate is out of python/ scope PARTIAL
§6.7 SOTA accuracy bars on labeled fixtures: NOT met (no labeled
fixtures / trained models available; parity proves path-equality,
not accuracy) OPEN
§6.8 .pyi stubs present for all three; mypy --strict on the 3 examples PASS
§6.9 base wheel `import wifi_densepose.{aether,meridian,mat}` raises a
clear ImportError naming the extra PASS
No regression: 76 pre-existing tests pass on the default wheel.
Status NOT flipped to Accepted: §6.7 (accuracy bars) is unmet, §6.6 CI
wiring is pending, and the per-extra wheel-size hoists (sensing-server /
train / mat leaf crates) remain follow-ups. docs/adr/ is owned by another
agent this session, so the ADR ledger edit is deferred to that owner.
Bind the ADR-024 MAT (Mass Casualty Assessment Tool) disaster-survivor
detection + START triage surface into the wheel behind a gated [mat]
extra / Cargo `mat` feature, mirroring the upstream disaster/ML gating.
Also adds the [sota] superset extra (aether+meridian+mat).
Surface (bound against the REAL code at HEAD, not the ADR wishlist):
- DisasterType (9 variants) / TriageStatus (5, START) enums
- DisasterConfig (builder-backed, continuous_monitoring forced off)
- DisasterResponse: initialize_event / add_zone / push_csi_data /
scan_once / survivors / survivors_by_triage
- Survivor (id, triage_status, confidence, location, latest_vitals)
- VitalSignsReading (breathing/heartbeat rate, movement, confidence)
- ScanZone.rectangle / ScanZone.circle
push_csi_data + scan_once are GIL-released.
Honest deviations from ADR section 3.4 (documented in module header):
- ADR proposed adding a Rust-side sync scan_once() (section 11.3). That was
UNNECESSARY: the public async start_scanning() runs exactly one
scan_cycle and returns when continuous_monitoring == false. The binding
forces that flag off and drives one cycle on a private current-thread
tokio runtime -- NO change to wifi-densepose-mat.
- scan_cycle requires an active event + Active zone, which the ADR surface
omitted; initialize_event + add_zone are bound as required additions.
- Survivor.vital_signs is a *history* in the real code; bound as
Survivor.latest_vitals -> Optional[VitalSignsReading].
- DisasterType has 9 variants at HEAD (adds Landslide/MineCollapse/
Industrial/TunnelCollapse); all bound.
Parity (section 4.1, release-blocking): committed fixture mat_input.json
(synthetic breathing-modulated CSI stream) -> native Rust reference
(tests/mat_parity.rs, drives DisasterResponse directly) locks
tests/golden/mat_result.sha256 over a canonical
`count=<K>;triage_priorities=<sorted>` string (survivor UUIDs/timestamps
excluded as non-deterministic); pytest (tests/test_mat.py) runs the same
stream through the binding and asserts the identical hash. Both detect
exactly 1 survivor, triage Delayed. Honest: synthetic fixture proves
binding==native path equality, NOT live detection accuracy.
Verified:
cargo test --features mat --test mat_parity -> 2/2 pass
maturin develop --features mat + pytest tests/test_mat.py -> 7/7 pass
default cargo build clean, 0 mat/tokio refs in the default dep graph.
WHEEL-SIZE FINDING (ADR-185 section 9): default-features=false drops MAT's
`api` (axum) and `ruvector` features, but MAT still carries NON-optional
tokio (rt/sync/time), wifi-densepose-nn (ort/ONNX + reqwest/hyper),
rustfft, geo, ndarray. So a [mat] wheel exceeds the ADR-117 section 5.4
<=5 MB budget -- same leaf-crate-hoist follow-up as AETHER/MERIDIAN. The
default wheel is untouched (feature-gated).
Bind the ADR-027 MERIDIAN cross-environment domain-generalization surface
into the wheel behind a gated [meridian] extra / Cargo `meridian` feature.
Inference/adaptation path only (tch-free), per ADR-185 section 3.3.
Surface (bound against the REAL code at HEAD, not the ADR wishlist):
- HardwareType / HardwareNormalizer / CanonicalCsiFrame (from
wifi-densepose-signal::hardware_norm)
- MeridianGeometryConfig / GeometryEncoder (64-dim, permutation-invariant)
- RapidAdaptation / AdaptationResult (push_frame + adapt, LoRA deltas)
- CrossDomainEvaluator + mpjpe (from wifi-densepose-train, NO tch-backend)
All compute paths GIL-released (py.allow_threads).
Honest deviations from ADR section 3.3 (documented in the module header):
- ADR's RapidAdaptation.calibrate(windows) and AdaptationResult.converged
DO NOT EXIST. Real API is push_frame + adapt(); result carries
{lora_weights, final_loss, frames_used, adaptation_epochs}. Bound as-is.
- ADR's HardwareType.detect exposed as a staticmethod delegating to the
real HardwareNormalizer::detect_hardware.
- ADR's normalize(frame: CsiFrame, hw) is really normalize(amplitude,
phase, hw) over f64 vectors returning Result; bound faithfully.
- CanonicalCsiFrame fields are singular amplitude/phase (ADR said plural).
Training-time types (DomainFactorizer, GradientReversalLayer,
VirtualDomainAugmentor) are out of P6 scope (need the libtorch tier).
Parity (section 4.1, release-blocking): committed fixture
meridian_input.json -> native Rust reference (tests/meridian_parity.rs,
calls hardware_norm + geometry + rapid_adapt directly) locks
tests/golden/meridian_output.sha256 over the concatenated f32 outputs
(esp32+intel canonical frames, 64-dim geometry vector, rapid-adapt LoRA
weights); pytest (tests/test_meridian.py) runs the same fixture through
the binding and asserts the identical SHA-256. Both pass.
Verified:
cargo test --features meridian --test meridian_parity -> 2/2 pass
maturin develop --features meridian + pytest tests/test_meridian.py
-> 13/13 pass
default cargo build clean, 0 train/signal/sensing-server refs in the
default dep graph (gate keeps the base wheel lean).
WHEEL-SIZE FINDING (ADR-185 section 9 / section 1.2): the libtorch risk
the ADR feared is AVOIDED -- wifi-densepose-train's `tch` dep is properly
optional (feature tch-backend, OFF), so no libtorch links. BUT train
still carries NON-optional deps: tokio (rt subset), the five ruvector-*
crates, and wifi-densepose-nn (which itself pulls `ort` / ONNX Runtime +
reqwest/hyper). So a [meridian] wheel exceeds the ADR-117 section 5.4
<=5 MB budget (though lighter than AETHER's axum/tokio server tree). The
clean fix is the same leaf-crate hoist: move the pure inference modules
(geometry, rapid_adapt, eval, hardware_norm) into a tch/tokio/ort-free
leaf crate. A required pre-release follow-up, not a functional blocker;
P2 binds real code and proves parity today.
The training pipeline in `training_api.rs` was written and committed but never
declared as a module (no `mod training_api;`), so it was dead, uncompiled code.
The live `/api/v1/train/start` was a stub that flipped a status string and
logged one line without starting any job, and `/ws/train/progress` 404'd
(issue #1233). This wires the real trainer into the live server.
- main.rs: declare `mod training_api;` (+ `mod path_safety;` for its load
guard), replace the `training_status`/`training_config` stub fields on
AppStateInner with `training_state: training_api::TrainingState` +
`training_progress_tx`, delete the three stub handlers, and
`.merge(training_api::routes())` before `.with_state` so `/api/v1/train/*`
(bearer-gated) and `/ws/train/progress` resolve against the shared state.
- training_api.rs: decouple the training core (`run_training_job`) from the
~60-field AppStateInner via a shared status handle (`Arc<Mutex<TrainingStatus>>`)
+ cooperative cancel flag (`Arc<AtomicBool>`) + an owned frame_history
snapshot, making it unit-testable. Self-contained input schema (local
`RecordedFrame`/`RECORDINGS_DIR`) instead of coupling to the still-orphaned
`recording.rs`. Consolidate the single-job guard + spawn into
`spawn_training_job`.
- Tests: real end-to-end test (synthetic CSI dataset -> real progress frames
stream + an actual `.rvf` artifact is written), plus path-traversal-rejection
and cancellation tests.
Verified: cargo test -p wifi-densepose-sensing-server -p wifi-densepose-train
--no-default-features -> 0 failed.
P5 (feature-flagged disabled-build honesty) deferred as follow-up; the
default/enabled build no longer silently no-ops.
Bind the ADR-024 contrastive CSI embedding surface into the wheel behind
a gated [aether] extra / Cargo `aether` feature, per ADR-185 section 3.2.
Surface (bound against the REAL code at HEAD, not the ADR wishlist):
- AetherConfig -> EmbeddingConfig {d_model,d_proj,temperature,normalize}
- CsiAugmenter -> augment_pair(window, seed)
- EmbeddingExtractor -> embed(csi): 128-dim L2-normed, GIL-released
- info_nce_loss, cosine_similarity (module fns)
ADR-185 section 3.2 also names aether_loss/VICReg components,
alignment_metric, uniformity_metric, forward_dual, and vicreg_* config
fields. None exist in embedding.rs at HEAD, so they are intentionally NOT
bound (a Rust-side gap, not a binding gap) rather than fabricated.
Parity (section 4.1, release-blocking): committed fixture
aether_input.json -> native Rust reference (tests/aether_parity.rs, calls
sensing-server EmbeddingExtractor directly) locks
tests/golden/aether_embedding.sha256; pytest (tests/test_aether.py) runs
the same fixture through the binding and asserts the identical SHA-256 of
the LE f32 bytes. Both pass.
Verified: cargo test --features aether --test aether_parity -> 2/2 pass;
maturin develop --features aether + pytest tests/test_aether.py -> 9/9
pass; default cargo build clean with 0 sensing-server refs in the dep
graph (gate keeps the base wheel lean).
HONEST WHEEL-SIZE FINDING (ADR-185 section 9 / Open Q 11.1, unresolved):
wifi-densepose-sensing-server is an Axum/tokio crate whose tokio/axum/
worldgraph/ruvector deps are NON-optional (only mqtt/matter are
features), so default-features=false does NOT drop them. An [aether]
wheel therefore links the full server tree and BREAKS the ADR-117 section
5.4 <=5 MB budget. The fix is the ADR-sanctioned hoist of embedding.rs
(+ its graph_transformer/sona siblings) into a leaf crate so the wheel
links pure compute only -- a change INSIDE wifi-densepose-sensing-server,
owned by another agent this session, so deferred as a required
pre-release follow-up. P1 binds real code and proves parity today; the
hoist is a wheel-size optimization, not a functional blocker.
Note: building required initializing the worldgraph/rufield/ruvector
submodules (absent in the fresh worktree).
Verified all 6 acceptance criteria against current file contents and checked them.
Set Status to Accepted; marked P1/P2/P3 DONE (1fb5397dd); left P4 as ACCEPTED-FUTURE (#645).
To make criterion 4 genuinely true (live ESP32 17-keypoint feature nowhere advertised
without the first-cut/below-target/runtime-stub caveat), added the caveat to the three
remaining live-pose advertisements in README.md: the recommended-hardware capability
table, the hero image caption, and the Live-ESP32-pipeline note.
Refs #509, #1125
Drop all four PYPI_API_TOKEN password inputs from the publish-v2 and
publish-tombstone jobs, grant id-token: write, and bind both jobs to the
pypi GitHub environment so pypa/gh-action-pypi-publish uses secretless
Trusted Publishing. Rewrite the header + add step comments documenting
the blocking manual pypi.org trusted-publisher registration (ADR-184
§3.1) and the token fallback (§3.2). Build matrix untouched.
Refs ADR-184 P1.
Follow-up to the calibration deadlock fix. With the status gate unstuck,
maybe_feed_calibration reached feed_calibration, but a real ESP32 HT40 node
streams 128-wide amplitude frames while the single-link FieldModel is the
canonical 56-tone grid. LinkStats::update returned DimensionMismatch,
feed_calibration bubbled it, and maybe_feed_calibration swallowed it at debug
level — so frame_count stayed pinned at 0 on live hardware (presence/vitals,
which read the global history, were unaffected).
Resample each frame onto the model's canonical 56-tone grid via
HardwareNormalizer::resample_to_canonical before feeding — the same length-only
canonicalization the multistatic fusion path uses (#1170).
Pinned by maybe_feed_calibration_resamples_wide_frames_and_accumulates
(128-wide -> Collecting + count 1). sensing-server bin: 173 passed, 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
POST /api/v1/calibration/start created the FieldModel in Uncalibrated, but
field_bridge::maybe_feed_calibration only fed frames while already Collecting
— and the only thing that sets Collecting is feed_calibration on its first
fed frame. The two gates deadlocked: no first frame was ever fed, so
calibration_frame_count stayed 0 and status never left Uncalibrated. Observed
live on a streaming ESP32 node as {"status":"Uncalibrated","frame_count":0}
that never advanced.
- field_bridge::maybe_feed_calibration: feed while Uncalibrated | Collecting
so the first frame flips the model to Collecting and the count advances.
- calibration_stop: return structured {success:false, frame_count,
frames_needed} instead of an opaque 500 when finalized with too few frames.
- FieldModel::min_calibration_frames() accessor for the guard above.
- Regression test: maybe_feed_calibration_advances_uncalibrated_to_collecting.
Presence/motion/vitals were unaffected (separate auto rolling baseline).
Co-Authored-By: claude-flow <ruv@ruv.net>
Lower the STA auth threshold from WPA2_PSK to WPA_PSK so routers running
WPA/WPA2-mixed compatibility mode aren't rejected with
WIFI_REASON_NO_AP_FOUND_IN_AUTHMODE_THRESHOLD (reason=211), and log the
disconnect reason/rssi instead of retrying blind. Also document the thermal
risk of running this firmware's continuous-radio, tier-2 DSP pipeline on
coin-sized clone boards (ESP32-S3-Zero, SuperMini) with minimal PCB copper
and budget regulators, after a field report of three such boards failing to
power on following a normal session.
Co-Authored-By: claude-flow <ruv@ruv.net>
Published 0.3.4 predates HardwareNormalizer::resample_to_canonical and
MultistaticConfig::for_tdm_schedule, which the sensing-server binary
uses — its publish verify fails against the registry 0.3.4. The in-repo
version had not been bumped since those APIs landed.
Co-Authored-By: claude-flow <ruv@ruv.net>
- wifi-densepose-rufield: add version="0.1.0" to the four rufield path
deps — rufield-core/-provenance/-privacy/-fusion are now published to
crates.io, making this crate (and wifi-densepose-sensing-server 0.3.4)
publishable
- v2/crates/worldgraph -> 4441bc0: wifi-densepose-worldgraph 0.3.2
published (adds prune_semantic_states; unblocks wifi-densepose-engine
0.3.1 publish)
- vendor/rufield -> f3c1492: breaks the fusion<->adapters circular
dev-dependency (path-only dev-dep, stripped at publish)
Closes the crates.io publish blockers in #1334.
Co-Authored-By: claude-flow <ruv@ruv.net>
- sdkconfig.defaults.devkitc: header build command idf v5.2 -> v5.4
(source needs esp_driver_uart, IDF >=5.3 — same reason the PR fixed
the README refs)
- engine/lib.rs: separate doc comments — set_room_adapter's ADR-150
adapter/witness doc had merged into set_multistatic_config's doc
- ui: apply stored bearer token at api.service.js module load instead
of QuickSettings.init — services + dashboard tab dispatch their first
/api/v1/* requests before initializeEnhancements() runs, so the first
requests on every load went out without the Authorization header
- CHANGELOG: Unreleased entries for #1308/#1309/#1310
Co-Authored-By: claude-flow <ruv@ruv.net>
Browsers cannot attach an Authorization header to a WebSocket upgrade,
so with RUVIEW_API_TOKEN set the Live Demo pose stream at
/api/v1/stream/pose always failed with 401 — the same reason
/ws/sensing is already exempted (see bearer_auth module docs). Adds a
narrow EXEMPT_PATHS list plus a regression test that the exemption
does not leak to other /api/v1/* paths. Query-string tokens remain
rejected (CWE-598 test untouched).
Also adds an 'API Access' bearer-token field to the QuickSettings
panel: ui/services/api.service.js had setAuthToken() but nothing ever
called it, so enabling RUVIEW_API_TOKEN broke every /api/v1/* call
from the bundled dashboard. The token is stored in localStorage and
applied before the first request.
Fixes#1310
Co-Authored-By: claude-flow <ruv@ruv.net>
EngineBridge::new built its own StreamingEngine, whose internal
MultistaticFuser was hardcoded to MultistaticConfig::default() (60 ms
guard) — the #1031/#1049 env overrides only reached the sibling
multistatic_fuser field on AppState, so governed trust cycles failed
against the default guard no matter what the deployment configured.
- wifi-densepose-engine: add StreamingEngine::set_multistatic_config()
- engine_bridge: EngineBridge::new takes Option<MultistaticConfig>
- main.rs: thread the same env-derived config into both fusion paths
Verified on a 2-node ESP32-S3 deployment: the failure message now
reflects the configured guard, and with healthy nodes governed cycles
ran 90 s with zero fusion errors.
Fixes#1309
Co-Authored-By: claude-flow <ruv@ruv.net>
The ADR-045 display probe false-positives on display-less
ESP32-S3-DevKitC-1 boards (SH8601 init 'succeeds' against floating
pins), so main.c skips the RuView#893 MGMT+DATA promiscuous upgrade
and CSI yield collapses to 0 pps. sdkconfig.defaults.devkitc compiles
display support out, making has_display constant-false so the #893
upgrade always applies. Hardware-verified on 2x DevKitC-1-N16R8:
0 pps -> steady 40-45 pps.
Also updates the Quick Start build commands and badge from
espressif/idf:v5.2 to v5.4 — current source uses esp_driver_uart
(IDF v5.3+) and no longer builds under v5.2; CI already uses v5.4.
Addresses #1308
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr): deep review of the RuView npm surface — ADR-263/264/265 optimization strategies
ADR-263 — @ruvnet/ruview@0.1.0 harness review (O1–O9):
- HIGH: claim-check CLI fails open on empty input (no --text/--file -> PASS exit 0)
- HIGH: MCP stdio server head-of-line blocking (spawnSync verify/calibrate up to 600s)
- MEASURED: optionalDependencies triple the cold npx install (4 pkgs/620kB/71 files
vs 1 pkg/172kB/22 files with --omit=optional) for a path that never imports them
- maxBuffer truncation, python -c port interpolation, version drift, duplicate skills,
guardrail METRIC_TERMS substring false positives ('map'/'F1' — found by dogfooding
claim-check on these very ADRs), zero CI
ADR-264 — @ruvnet/rvagent@0.1.0 + @ruv/ruview-cli review (O1–O9), verified against
the published registry tarball:
- HIGH: exports.require -> dist/index.cjs which is never built nor published
- MEASURED: 44 dead source-map files = 62,698B of the 188kB unpacked payload
- stdio-only server described as dual-transport; mixed dot/underscore tool names;
double Zod validation + hand-duplicated advertised schemas; 2-fd leak per training
job; unbounded body in the unwired HTTP scaffold; dead detectCogBinary candidates;
ruview bin-name collision
ADR-265 — cross-cutting npm distribution strategy: npm-packages.yml CI matrix
(test + pack-content/size gate + tarball-install smoke test), publish-from-CI-only
with npm provenance, version single-sourcing from package.json, bin/namespace
ownership (ruview bin belongs to @ruvnet/ruview), claim-check on package READMEs.
Docs only — no runtime code changed. Index/CHANGELOG/CLAUDE.md/README counts updated.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WrGfTGKv1oWZ6iwXZACULz
* fix(npm): implement ADR-263/264/265 — harness fail-closed + async MCP, rvagent packaging/transport/naming, npm CI+provenance gate
ADR-263 (@ruvnet/ruview 0.2.0), O1-O9:
- claim-check fails closed on empty input (CLI exit 2, empty_text tool error)
- MCP stdio server dispatches tools/call asynchronously (promise-based spawn);
ping answers while a 3s fake verify runs — pinned by new e2e test
- optionalDependencies dropped: cold npx installs exactly 1 package
(MEASURED: was 4 pkgs/620kB/71 files via npm i in a clean prefix)
- bounded rolling output tails replace spawnSync 1MiB maxBuffer
- node_monitor port passed via sys.argv, never spliced into python -c source
- serverInfo.version read from package.json; resources/prompts stubs
- skills single-sourced: prepack sync script generates .claude/skills/ copies
- which() = memoized dep-free PATH scan
- tools underscore-canonical (ruview_claim_check, ...) + dotted aliases
- guardrail precision: word-boundary map/f1/auc/iou, code-span + F1/O2 label
scrubbing, quantitative-claims-only; packaging reproducer hints
- 30/30 tests (was 17), incl. concurrency e2e + fail-open regression pins
ADR-264 (@ruvnet/rvagent 0.2.0), O1-O9:
- exports fixed: types-first, phantom dist/index.cjs require target removed
- tarball map-free: 127,704B unpacked / 46 files / 0 maps (MEASURED,
npm pack --dry-run; was 188kB incl. 44 maps referencing unshipped src)
- Streamable HTTP actually wired behind RVAGENT_HTTP_PORT: one transport +
one MCP server per session (mcp-session-id routing), 1MiB body cap (413),
port-aware localhost origin gate; dual-transport description now true
- tools renamed underscore-canonical with dotted router-only aliases
- single Zod validation gate; advertised inputSchema generated from the same
Zod source (zod-to-json-schema)
- train_count: parent log fds closed (was leaking 2/job); job records
persisted to <jobsDir>/<id>.json (job_status survives restarts); bounded
log-tail reads
- detectCogBinary probes its candidates instead of dead-coding them
- version from package.json; @types/express dropped; @types/jest -> 29
- README rewritten to match reality (no phantom subcommands/policy layer)
- 99/99 jest tests (incl. new session/body-cap suite + previously-broken
manifest suite); stdio handshake + HTTP session flow smoke-tested live
ADR-265 D1-D4:
- .github/workflows/npm-packages.yml: 3-package x Node 20/22 gate — tests,
version-literal grep (D3), pack-content/size gate, tarball-install smoke
test (catches the ADR-264 F1 class), README claim-check (D4)
- .github/workflows/ruview-npm-release.yml: publish from CI only with
npm publish --provenance
- @ruv/ruview-cli bin renamed ruview-cli (ruview bin belongs to
@ruvnet/ruview); version single-sourced
- ci.yml NODE_VERSION 18 -> 20
ADR statuses updated to Accepted/implemented; harness manifest re-pinned;
ADR-263/264/265 + both package READMEs pass claim-check.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WrGfTGKv1oWZ6iwXZACULz
* perf(rvagent): lazy-load HTTP transport + memoize generated tool schemas
stdio time-to-first-response ~242ms -> ~189ms (-22%; MEASURED, median of
repeated initialize round-trips against dist/index.js in this container).
- ./http-transport.js now imported lazily inside the RVAGENT_HTTP_PORT
branch: it chain-loads the MCP SDK streamableHttp module (~48ms MEASURED
via per-module import() timing) which the default stdio path never uses
- toolInputJsonSchema memoized per tool: schemas are static for the process
lifetime; under the session-per-server HTTP model every session calls
tools/list, so stop re-walking the Zod tree each time
No behavior change: 99/99 jest tests; HTTP session flow re-smoke-tested
through the lazy import path (initialize -> 200 + mcp-session-id).
Profiled @ruvnet/ruview too and left it alone: 50ms CLI startup vs ~29ms
bare 'node -e ""' floor on the same box (MEASURED) — already near the
interpreter floor with zero dependencies.
Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01WrGfTGKv1oWZ6iwXZACULz
* ci(ruview-cli): pass jest --passWithNoTests so the private no-test package doesn't fail the npm-packages matrix
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(npm): address 10 verified review findings in harness + rvagent before 0.2.0 publish
harness/ruview (@ruvnet/ruview):
- guardrails: digit gate now sees numbers inside code spans; F1-style
metric tokens followed by ':' or a nearby number are no longer scrubbed
(fail-open regressions in the honesty gate)
- mcp-server: tools/call requests serialize through a FIFO promise chain
(hardware/mutating tools never overlap) while ping/tools/list stay
immediate; stdin close drains in-flight responses before exit
- tools: which() no longer memoizes negative lookups
tools/ruview-mcp (@ruvnet/rvagent):
- index: realpath invoked-directly guard — library import no longer
connects a stdio transport to the consumer's process
- http-transport: explicit allowedOrigins is exact-match only (localhost
any-port convenience applies only with no configured allowlist);
session map gains maxSessions=64 + 5min idle TTL sweep
- train-count: job records persist the child pid and reconcile stale
'running' status after a server restart (exit-code marker or dead pid)
- config: cog binary candidates ordered by process.arch
.github/workflows/ruview-npm-release.yml: port the full ADR-265 D1 gate
(version-literal check, unpacked-size budget, tarball-install smoke test)
from npm-packages.yml so the publish path enforces what the header claims.
Tests: harness 30→36, rvagent 99→112, all passing.
Co-Authored-By: claude-flow <ruv@ruv.net>
---------
Co-authored-by: Claude <noreply@anthropic.com>
The root Makefile still referenced pre-reorg paths that no longer exist, so
the documented build/test/run entrypoints were all broken:
- rust-port/wifi-densepose-rs/ -> v2/ (build-rust, build-wasm[-mat],
test-rust, bench, clean cargo step)
- v1.src.api.main -> archive.v1.src.api.main (run-api, run-api-dev)
test-rust now uses the documented `--no-default-features` invocation (the
proven-passing, GPU-free path). Verified: `cd v2 && cargo test --workspace
--no-default-features --no-run` compiles the full workspace clean.
Surfaced during a metaharness review (the broken root build entrypoint is
why genome reported build:none / publish_readiness 0.40 at the repo root).
Claude-Session: https://claude.ai/code/session_01AgpTcBLRJ32hUsKWxDXf36
While cutting v0.8.3-esp32, an incremental 8MB build reused a leftover
generated `sdkconfig` and silently linked the 4MB dual-OTA partition layout
(no spiffs, ota_1 @ 0x1F0000) — the would-be released `partition-table.bin`
did not match the 8MB `partitions_display.csv` it claimed.
scripts/firmware-release-guard.sh regenerates the expected partition table
from the CSV the named flash-size variant must use and byte-compares it to the
built `partition-table.bin`, and cross-checks flash size in flasher_args.json.
Fails closed so a release pipeline can't ship a mismatched table.
Usage: scripts/firmware-release-guard.sh <8mb|4mb> <build-dir>
Claude-Session: https://claude.ai/code/session_01AgpTcBLRJ32hUsKWxDXf36
#1170 — live multistatic bridge fed raw, un-canonicalized per-node CSI
(64/128/192 bins) to MultistaticFuser, tripping DimensionMismatch every
cycle and silently disabling fusion on mixed HT20/HT40 meshes. Add
HardwareNormalizer::resample_to_canonical (resample-only, no z-score) and
canonicalize every node frame onto the 56-tone grid before fusion.
#1180 — update_csi_fps_ema only rejected dt<=0 or >=1s, so sub-ms UDP-burst
arrivals (36us -> ~27kHz) inflated csi_fps_ema 40-840x. Add a 5ms plausibility
floor and stop re-anchoring observe_csi_frame_arrival on burst deltas.
#1183 — global ENOMEM backoff (CSI flood) starved <=48B/<=1Hz control packets.
Add stream_sender_send_priority() bypassing the backoff gate without touching
the streak; route feature_state/HEALTH/sync through it. Fix the misleading
"HEALTH sent" log that printed even on rv_mesh_send failure.
Verified: signal 501, sensing-server 677 tests (0 failed); firmware builds clean.
Claude-Session: https://claude.ai/code/session_01AgpTcBLRJ32hUsKWxDXf36
Bug #2 (root cause): LD2410 probe-detection matched only the 4-byte head
0xF4F3F2F1, so a floating UART at 256000 baud could phantom-detect a sensor
and spawn a UART task. Now requires a full validated report frame (head +
sane length + tail 0xF8F7F6F5), extracted to mmwave_detect.h and shared with
a host unit test (test_mmwave_detect.c, 8 vectors) so firmware and test can't
diverge. Matches the validate-before-trust approach used for MR60 in #1107.
Bug #1: sendto ENOMEM used a fixed 100 ms backoff too short to drain sustained
lwIP/WiFi buffer pressure, so a node could stay stuck. Now exponential
(100->200->...->2000 ms per consecutive ENOMEM, reset on first successful
send). Removing the phantom LD2410 task (bug #2) also removes the extra load
that tipped the reporter's tier-2 node into the stuck state.
Validated on ESP32-S3 QFN56 rev v0.2 (the reporter's silicon): tier-2 streams
~100 frames/s with no stuck ENOMEM and correctly reports no mmWave (no
phantom). LD2410 predicate truth table proven (head-without-tail REJECTED).
Could not reproduce the reporter's environment-specific floating-pin noise, so
the deterministic proof is the host unit test.
The 40 Hz gamma flicker is now Kconfig-gated (default y, unchanged
behaviour). Set CONFIG_LED_GAMMA_VIZ=n for a dark, lower-power boot (the
LED is simply cleared) — important for photosensitive deployments, no
source edit needed. The colormap saturation point is now operator-tunable
via CONFIG_LED_MOTION_FULLSCALE_MILLI (default 250 = 0.25).
Build + flash confirmed on ESP32-S3 N16R8 (COM8): default y still arms the
gamma timer, CSI flows. ADR-183 updated (gate moved from follow-up to done).
* chore(deps): bump ruv-neural submodule — ColorMap no_std for ESP32
Points to ruvnet/ruv-neural#3 (c9638fa): ruv-neural-viz::ColorMap now
builds no_std, so it can run on the ESP32. Unblocks driving the onboard
WS2812 from the viridis/cool-warm colormap.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(firmware): onboard LED as 40 Hz gamma stimulus, colour from live CSI motion (ADR-183)
The S3 onboard WS2812 (GPIO 48, #962) now runs a GENUS-style 40 Hz gamma
square wave (12.5 ms on/off, 50% duty). The ON-phase colour is live CSI
motion (edge motion_energy) mapped through a 60-step viridis LUT generated
from ruv-neural-viz::ColorMap::viridis() — still=purple, moving=yellow.
Uses the now-no_std ColorMap (ruvnet/ruv-neural#3 / #1126). Hardware-
confirmed on ESP32-S3 N16R8 (COM8): boot log shows the timer armed, CSI
keeps flowing (27-38 pps). Honesty + photosensitivity notes + a Kconfig-gate
follow-up are in ADR-183.
Co-Authored-By: claude-flow <ruv@ruv.net>
Points to ruvnet/ruv-neural#3 (c9638fa): ruv-neural-viz::ColorMap now
builds no_std, so it can run on the ESP32. Unblocks driving the onboard
WS2812 from the viridis/cool-warm colormap.
These are hook/runtime-generated databases (ruvector/intelligence store)
that kept showing as dirty and don't belong in version control. Removed
from the index (files kept on disk) and ignored globally.
A host-portable RuView agent harness minted via MetaHarness and hardened
per ADR-182. Published as @ruvnet/ruview@0.1.0 (bare `ruview` blocked by
npm's typosquat filter → scoped fallback).
What it does:
- 6 fail-closed `ruview.*` tools (onboard, claim_check, verify,
node_monitor, calibrate, node_flash) exposed as CLI verbs + a
dependency-free MCP stdio server.
- The "prove everything" rule made executable: `ruview.claim_check`
flags untagged accuracy claims and the retracted "100%" framing.
- 5 host-neutral skills (onboard/provision-node/calibrate-room/
train-pose/verify) + bundled .claude/ config + provenance manifest.
Validated: 17/17 unit tests, live MCP handshake, `ruview.verify` ran the
real verify.py to VERDICT: PASS, clean `npx @ruvnet/ruview` from registry.
Packs to 16.7 kB / 21 files; kernel+host are optionalDependencies so the
operator tools install lightweight.
README: documented as the portable, multi-host companion to the in-repo
plugins/ruview/ Claude Code plugin (not a replacement).
The SH8601 QSPI panel is write-only, so display_hal_init_panel() 'succeeds' even on a
bare display-less board — display_is_active() then returned true and main.c skipped the
#893/#906 MGMT->MGMT+DATA CSI filter upgrade (yield=0pps). Gate on the FT3168 touch I2C
readback (always present on the Touch-AMOLED board, absent on a bare DevKit): if touch is
absent, the panel 'success' was a false-positive — bail to headless before the display
task starts, so display_is_active() stays false and CSI captures.
Co-authored-by: ruv <ruvnet@gmail.com>
probe_at_baud counted bare 0x01 (SOF) bytes and declared MR60BHA2 on a single one.
A floating UART1 with no sensor reads noise full of 0x01s → false 'Detected MR60BHA2
(caps=0x000f)'. Now a candidate must be a full 8-byte header with a valid header
checksum (bytes 0..6) AND a known frame type (0x0A__ / 0x0F09), and clear the ≥3
threshold; removed the weak single-hit fallback. Real sensors stream valid frames
continuously, so detection of present hardware is unaffected.
Co-authored-by: ruv <ruvnet@gmail.com>
1. record-csi-udp.py stamped LOCAL time with a 'Z' (UTC) suffix → camera/CSI disagreed
by the UTC offset → 0 aligned pairs. Now writes true UTC via datetime.now(timezone.utc).
2. align-ground-truth.js kept empty-keypoint (non-detection) records at confidence 0,
collapsing window avgConf below threshold → all windows rejected. Now skipped at load.
3. extractCsiMatrix silently zero-padded/truncated mixed-subcarrier frames. Now frames
are filtered to the session's modal subcarrier count before windowing — never padded.
4. CSI/feature matrices are filled frame-major but were labeled shape [nSc, nFrames] —
transposed. Labels corrected to [nFrames, nSc] / [nFrames, dim].
Co-Authored-By: claude-flow <ruv@ruv.net>
Advances the vendored ruv-neural submodule from the stale 'Initial' pin (1ece3af) to
current main (81be9e1): the static web console UI, the closed-loop neuromodulation
platform, repositioned README, and the @ruvnet/ruvn companion-tool mention.
ruv-neural is not a v2 workspace member, so this does not affect the workspace build
(cargo metadata resolves clean).
Co-Authored-By: claude-flow <ruv@ruv.net>
The industrial rescope (ruv-drone) removed the itar-unrestricted feature flag —
formation/allocation/raft/flight-control are now default capabilities. Update the
'ruflo+itar' matrix entry to just '--features ruflo' so CI matches the new feature set.
Co-Authored-By: claude-flow <ruv@ruv.net>
- published as github.com/ruvnet/worldgraph (3-crate workspace, history via git-filter-repo)
- replace the 3 in-tree crates with one submodule at v2/crates/worldgraph
- parent workspace: drop the 3 members, exclude the submodule (it is its own workspace),
repoint workspace.dependencies(worldmodel) + engine/sensing-server path-deps into it
- cargo metadata resolves clean (geo/worldgraph/worldmodel consumed from the submodule)
Co-Authored-By: claude-flow <ruv@ruv.net>
- ruview-swarm published as github.com/ruvnet/ruv-drone (history preserved via subtree split)
- replace the in-tree crate with a submodule at v2/crates/ruview-swarm (branch main)
- standalone repo dropped the unused wifi-densepose-core path-dep; export-control NOTICE added there
- workspace member path unchanged; cargo metadata resolves ruview-swarm from the submodule
Co-Authored-By: claude-flow <ruv@ruv.net>
Self-contained Three.js r128 demo at examples/through-wall/ that renders
ONLY genuine data streamed from the running sensing-server over
ws://localhost:8765/ws/sensing. No simulation, no fabricated frames, no
fake skeleton.
Renders, driven by real /ws/sensing frames:
- 20x20 signal_field floor heatmap (real values)
- coarse RF-localization puck from persons[0].position (labeled coarse,
NOT pose; peak signal_field cell as fallback)
- live motion/breathing/variance/rssi bars + motion sparkline
- presence/confidence/estimated_persons/active-node/tick/Hz meters
- 3D room with wall + doorway dividing office (node 9) / hallway (node 13)
- honest mutually-exclusive banner: LIVE (source=esp32) / SIMULATED /
NO SERVER, showing the real source verbatim
- optional webcam tile (ground-truth-when-visible, separate from CSI)
Reuses scene/lights/bloom/CSS + webcam path from
examples/three.js/demos/05-skinned-realtime.html, the floor-heatmap idea
from ui/observatory/js/, and the threaded no-cache server from
examples/three.js/server/serve-demo.py (serve.py on :8080).
Verified against the live server: real frame source=esp32, nodes [9,13],
400 signal_field values, persons[0].position present. Python proof PASS.
Co-Authored-By: claude-flow <ruv@ruv.net>
Two ESP32-S3 nodes on WiFi/ESP-NOW sync drift 10-150 ms (~70 ms typ.), exceeding
the 60 ms default guard → permanent trust demotion to Restricted, all pose output
suppressed, 200k+ errors, no escape but a container restart.
Add a direct WDP_GUARD_INTERVAL_US override (+ optional WDP_SOFT_GUARD_US) to
multistatic_guard_config_from_env. Precedence (most-specific wins): direct
override > WDP_TDM_SLOTS+WDP_TDM_SLOT_US schedule-derived > 60ms/20ms default.
Soft band always clamped strictly below hard; malformed/zero ignored (falls back,
never breaks fusion). Effective guard logged at startup.
Pinned by 6 tests (multistatic_guard_config_tests). sensing-server bin tests
449 -> 455, 0 failed. Python proof PASS, hash unchanged (off signal path).
Closes#1049.
Co-Authored-By: claude-flow <ruv@ruv.net>
Closing beyond-SOTA security review of wifi-densepose-wasm-edge (ADR-040,
~70 edge modules). The two WASM↔host boundaries (lib.rs::on_frame/on_timer
and bin/ghost_hunter.rs::on_frame) read raw IEEE-754 f32 from the csi_get_*
imports with no finiteness check — the crate had zero is_finite/is_nan
guards and its clamp helpers propagate NaN. A single non-finite host value
latches NaN into long-lived per-module accumulators (EMA / Welford / phasor
sums / anomaly baselines), after which detectors fail degraded (stuck gate
state, silently-disabled checks) — silent corruption, not a crash.
Add sanitize_host_f32() (non-finite -> 0.0, core-only for no_std) applied at
every host_get_* float read: one chokepoint covering all downstream modules,
mirroring the existing M-01 negative-n_subcarriers boundary clamp. LOW /
defense-in-depth (the Tier-2 DSP firmware supplies the imports, a semi-trusted
boundary).
Pinned by boundary_tests::{sanitize_passes_finite_values_through,
sanitize_maps_non_finite_to_zero,
coherence_monitor_nan_latches_without_sanitize_but_not_with} — the last
asserts on the current CoherenceMonitor that a raw NaN frame latches the
smoothed score while the sanitized path stays finite.
Other review dimensions attested clean with evidence (see CHANGELOG): no
hot-path panics (all unwrap/expect are test-only or std-gated RVF builder),
all bounds min()-clamped, all index-by-cast const-bounded or guarded, no
leaking closures (no move||/forget/leak), no secrets.
Verified: host `cargo test --features std,medical-experimental` 672 passed /
0 failed (+3 new tests); all three wasm32-unknown-unknown release artifacts
build clean (lib default no_std/panic=abort, ghost_hunter standalone-bin,
medical-experimental); Python proof VERDICT PASS, hash unchanged.
* fix(security): desktop IPC serial-command-injection + over-broad shell capability (ADR-178)
Beyond-SOTA security review of wifi-densepose-desktop (Tauri v2). Two real
findings, each MEASURED on Windows (crate builds + tests under
--no-default-features):
WDP-DESK-01 (MODERATE) — serial command injection via configure_esp32_wifi.
The #[tauri::command] handler concatenated webview-supplied ssid/password into
newline-terminated serial commands with no validation; a \r\n let a compromised
webview inject an arbitrary follow-up firmware command (reboot/erase). Added
validate_wifi_credentials() enforcing WPA2 length bounds and rejecting all
control characters, called fail-closed before any serial write. Pinned by 3
new tests (rejects \r\n / \n / NUL injection, rejects out-of-range, accepts
valid boundaries).
WDP-DESK-02 (MODERATE) — removed unused shell:allow-execute / shell:allow-open
from capabilities/default.json. The Rust backend spawns processes via
std::process::Command (bypassing the allowlist) and the UI only uses
dialog.open; the shell perms were unused privilege granting the webview
arbitrary host command execution on compromise. Regenerated capabilities.json
confirms only core:default + dialog perms remain.
lib tests 18 -> 21 (+3 pins), integration 21 -> 21, 0 failed. Python
deterministic proof unchanged (f8e76f21...46f7a; desktop off the signal path).
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr): ADR-178 — desktop IPC injection fix + capability least-privilege
Records the 2 MEASURED MODERATE fixes in feddcde9d: WDP-DESK-01 (webview
ssid/password \r\n-injected arbitrary firmware serial commands → validated
fail-closed) and WDP-DESK-02 (unused shell:allow-execute/open capability
granted to the webview → removed). 30-command IPC surface + capability scope
audited; 6 dimensions clean-with-evidence. desktop 18→21.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(ADR-131): HOMECORE-UI operational dashboard + BFF gateway
Complete two-tier Cognitum operator dashboard (ADR-131), served by
homecore-server at /homecore, plus the single-origin BFF gateway that
wires it to real backends.
Front-end (zero-dep vanilla TS/JS + CSS, exact Cognitum design tokens):
- All 10 panels (§4.1-4.10): dashboard, SEED fleet + detail, fleet map,
entities (live WS subscribe_events, never polls), rooms, COGs,
calibration wizard, events + automation builder, witness/audit, settings.
- §6 UX invariants in code: first-class provenance, prominent stale/veto/
fragility, null(not-trained) vs withheld vs error, --mono everywhere,
Hailo vs CPU COG distinction.
- api.js calls the gateway routes in production; mock demoted to a
dev-only ?demo=1 fixture (no mock in prod); typed error states.
- Tests under plain node: import-graph, boot, render-smoke (22),
interaction (3), prod-errors (13) — 5 files green; bundle ~137 KB
(~37x smaller than HA), <2 ms/cold-render.
BFF gateway (homecore-server/src/gateway.rs, compiled + tested on Rust 1.89):
- /api/cal/* reverse-proxy to the calibration API (ADR-151).
- GET /api/homecore/rooms with the RoomState adapter (breathing->breathing_bpm,
heartbeat:null->heart_bpm:null, injected anomaly.threshold/room_id).
- GET /api/homecore/cogs supervisor over /var/lib/cognitum/apps/.
- GET /api/homecore/appliance from /proc + TCP service probes.
- SEED-device/appliance routes return typed 503 upstream_unavailable.
- cargo test -p homecore-server = 12/12; run live (curl-verified);
fixed a real double-v1 proxy-URL bug found during live testing.
Honest scope: W1/W2/W4/W6-appliance functional; W3/W5/W6-Hailo/federation
return typed 503 (depend on services/hardware not in this repo).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(homecore-ui): resolve code-review findings — SSRF guard, CORS/trace coverage, §6 honesty, crash guards
Addresses the high-effort review of PR #1082:
- SECURITY: cal_proxy rejects path-traversal/confused-deputy SSRF (`.`/`..`
segments, backslash, %2e%2e/%2f, absolute) on raw+decoded forms → 400,
before attaching the server-side calibration bearer.
- CORRECTNESS: /api/homecore/* + /api/cal/* now covered by the shared CORS
allowlist (build_cors_layer, exported from homecore-api) + TraceLayer —
previously merged outside router()'s layers (no CORS, no tracing).
- §6 HONESTY (no fabricated data): dashboard renders '—' for null metrics
(not "null%"/"null°C"); cogs Hailo pill reflects the REAL appliance probe
(not hardcoded "connected"); room anomaly threshold passed through / null,
not a fabricated 0.5.
- ROBUSTNESS: cogs asArray(hef) guards a non-array manifest field; calibration
progress guards target<=0 (no NaN%/Infinity%); restart clears the poll timer.
- CLEANUP: mock.js is now a cached DYNAMIC import (demo-only) — never bundled
in production (§2.2).
- New ui/tests/unit-fixes.mjs pins the above; ADR-131 + CHANGELOG updated.
Co-Authored-By: claude-flow <ruv@ruv.net>
---------
Co-authored-by: Nick Ruest <127058086+nicholas-ruest@users.noreply.github.com>
* fix(nvsim): guard degenerate input — config-induced panic + NaN-state poisoning
Beyond-SOTA security review of the ADR-089 NV-diamond simulator (milestone #9,
crate 2 of 4). Two real degenerate-input findings, each pinned fails-on-old:
NVSIM-DT-01 (config panic/DoS, pipeline.rs): an external f_s_hz == 0 made
dt == +Inf, dt_us saturated to u64::MAX, and `sample * dt_us` panicked with
"attempt to multiply with overflow" at sample >= 2 (debug/WASM panic=abort;
garbage t_us in release). Fix: sanitise dt (non-finite/non-positive -> 1 µs
fallback), cap the u64 cast, and saturating_mul the timestamp.
NVSIM-NAN-01 (NaN-state poisoning, digitiser.rs): a non-finite scene parameter
(NaN dipole position / Inf moment / NaN loop radius) bypasses the near-field
clamp (NaN < R_MIN_M is false) and yields a NaN field; at the ADC `NaN as i32`
== 0 silently emitted b_pt=[0,0,0] with ADC_SATURATED CLEAR — indistinguishable
from a legit zero-field reading. Fix at the funnel: adc_quantise treats any
non-finite input as out-of-range -> clamps to code 0 AND raises the saturation
flag, so the corruption is visible downstream.
Determinism integrity, panic-free MagFrame deserialisation, and RNG seeding
confirmed clean with evidence. The published cross-machine witness
(cc8de9b0…93b4) is unchanged — guards only affect degenerate inputs.
cargo test -p nvsim --no-default-features: 50 -> 53 passed, 0 failed.
Workspace green; Python deterministic proof unchanged (f8e76f21…46f7a,
nvsim off the signal proof path). Needs ADR slot 177.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr): ADR-177 — nvsim degenerate-input hardening
Records the 2 MEASURED MEDIUM fixes in 37764be55 (NVSIM-DT-01 config-induced
overflow panic / WASM-abort DoS; NVSIM-NAN-01 non-finite scene param →
silent fake zero-field reading with saturation flag clear) + 3 pins, and the
clean-with-evidence determinism/deser/div-by-zero verdict. Cross-machine
witness cc8de9b0…93b4 reproduces unchanged.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(ruview-swarm): fail-closed on NaN/Inf at swarm-comm trust boundary (ADR-148)
Beyond-SOTA security review of the ADR-148 drone swarm control plane found
four IEEE-754 NaN/Inf fail-open / DoS bugs on data crossing the untrusted
swarm-comm boundary (receive_peer_state / receive_peer_detection accept full
DroneState/CsiDetection whose f64/f32 fields deserialize with no finite-check).
- HIGH: failsafe::tick collision-avoidance + battery checks fail-open on NaN
(NaN < threshold == false silently disabled collision avoidance / kept a
NaN-battery drone Nominal). Now fails closed to EmergencyDiverge / RTH.
- MED: geofence::check NaN-altitude bypass returned Safe through the
point-in-polygon path. Now leading non-finite-coordinate guard -> HardBreach.
- MED/DoS: antijamming FhssRadio panicked with "% 0" on an empty deserialized
channels_mhz. Now len==0 early-returns (benign 0.0 sentinel).
- LOW: multiview::fuse propagated a NaN victim_position into the fused
"confirmed victim" location. Now requires finite confidence + position.
Each fix pinned by a fails-on-old / passes-on-new test (MEASURED: old code
returned Nominal/Safe or panicked). cargo test -p ruview-swarm
--no-default-features: 117 -> 123 passed, 0 failed. Workspace green; Python
deterministic proof unchanged (f8e76f21...46f7a, off the signal path).
Documented-not-fixed (ADR slot 176): Raft AppendEntries lacks Log-Matching
consistency check (topology/raft.rs); MavlinkSigner::verify uses non-constant
-time tag compare + no replay-window rejection (already doc-flagged).
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr): ADR-176 — ruview-swarm NaN-fail-open safety review
Records the 4 MEASURED fail-open safety bugs fixed in f671000d7 (collision
avoidance, battery RTH, geofence, anti-jamming %0 panic — all NaN/Inf
defeating a safety comparison at the swarm-comm trust boundary) + 6 pins,
5 clean-with-evidence dimensions, and the 2 genuine issues deferred to a
focused follow-up (Raft AppendEntries log-matching; MAVLink signer
constant-time + replay window).
Co-Authored-By: claude-flow <ruv@ruv.net>
Sub-deliverable 8.2 of the benchmark/optimization milestone. Quantizes the
843,834-param "half" WiFlow-STD pose model (half_best.pth) to int8 two ways and
MEASURES the accuracy/size trade-off vs fp32 under ONE locked normalization
(ADR-173 torso-diameter PCK, upstream calculate_pck use_torso_norm=True), on the
same seed-42 file-level 70/15/15 test split that produced the fp32 sweep numbers.
MEASURED on ruvultra (RTX 5080, torch 2.11.0+cu128, fbgemm; clean test, torso-PCK):
fp32 96.62% pck@20 99.47% pck@50 0.008981 mpjpe 3.351 MB
int8 PTQ static 40.98% pck@20 94.98% pck@50 0.038262 mpjpe 1.046 MB (-55.64pp)
int8 QAT (3 ep) 67.48% pck@20 98.69% pck@50 0.026548 mpjpe 1.043 MB (-29.15pp)
Verdict (honest no): int8 is NOT a win at the strict PCK@20 edge target. Static
PTQ collapses; QAT recovers a large share but still loses 29 pp @20 for a 3.2x
size win — keep fp32/fp16 on the edge. Disclosed: QAT fake-quant val pck@20 was
83.45% but converted int8 scores 67.48% (~16pp convert_fx gap, reported honestly).
Deliverables:
- v2/crates/wifi-densepose-train/scripts/quantize_half_int8.py (reproducible:
header carries the exact ssh command + run date; QAT primary, static PTQ fallback)
- docs/adr/ADR-175-int8-quantization-half-pose-model-measured.md (MEASURED table,
locked normalization, QAT-vs-PTQ labeling, verdict, reproduction, limitations)
- CHANGELOG [Unreleased] ### Added entry
No production Rust or signal-pipeline change. Python deterministic proof unchanged
(f8e76f21a0f9852b70b6d9dd5318239f6b20cbcb4cdd995863263cecdc446f7a, bit-exact).
* ci(bench): wire v2 criterion benches into CI as a compile-verify regression gate
Sub-deliverable 8.3 of the benchmark/optimization milestone (needs ADR slot 174).
The v2/ workspace ships 26 criterion benches across 18 crates, but benches are
not part of `cargo test`, so nothing in CI compiled them and they silently rot
when a public API they call changes.
Add `.github/workflows/bench-regression.yml`:
- bench-compile (HARD GATE): `cargo bench --workspace --no-default-features
--no-run` compiles + links every default-feature bench (no measurement) plus
the cir-gated cir_bench — a real, deterministic regression guard against
bench bit-rot.
- bench-fast-run (INFORMATIONAL, continue-on-error, never gates): runs a
curated pure-CPU subset (nvsim, ruvector sketch/fusion) in criterion
quick-mode and uploads logs as an artifact.
No timing-regression gate, by design: wall-clock on shared GitHub runners varies
2-3x run-to-run, so a hard threshold or cross-runner `criterion --baseline`
compare would manufacture false failures. The honest scope is compile-verify +
informational-run; the workflow header documents the self-hosted-runner
condition under which true timing-gating becomes honest. The crv-gated crv_bench
is excluded because its crates.io dep ruvector-crv 0.1.1 fails to build upstream.
Running the gate immediately caught one already-bit-rotted bench:
wifi-densepose-mat/detection_bench failed to compile (E0063: missing field
last_rssi in SensorPosition). Fixed (last_rssi: None) and re-verified.
Validation (MEASURED): mat detection_bench + cir_bench + nvsim + ruvector +
vitals + swarm benches compile under --no-default-features; fast subset runs;
`cargo test -p wifi-densepose-mat --no-default-features` 174 passed / 0 failed;
Python proof PASS, hash f8e76f21...46f7a unchanged.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr): ADR-174 — CI bench-regression compile-verify gate
Records sub-deliverable 8.3 (bench-regression.yml, committed c4c59e085):
a hard compile-verify gate over all 26 v2 criterion benches (caught + fixed
one real bit-rotted bench, mat/detection_bench E0063) + an informational
fast-run. Documents the honest scope — no timing-regression gate, since
shared-runner wall-clock varies 2-3x; states the self-hosted-runner condition
under which timing gating becomes honest.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(train): metric-locked PCK/MPJPE accuracy harness — resolve PCK-definition ambiguity
The SOTA brief (docs/research/sota-nn-train-benchmark-brief.md §1/§3.1/§4)
identifies metric ambiguity as the single biggest threat to any beyond-SOTA
claim: three PCK@20 numbers (96.09% WiFlow-STD image-normalized, 81.63%
AetherArena torso-PCK, 61.1% GraphPose-Fi standard PCK) cannot be lined up
because each silently uses a different normalization. The project was retracted
twice over this (a withdrawn 92.9% used absolute pixels, not torso).
New src/accuracy.rs makes the normalizer explicit, selectable, and carried with
every reported number:
- PckNormalization enum: TorsoDiameter (standard MM-Fi/GraphPose-Fi hip↔hip),
BoundingBoxDiagonal (looser WiFlow-STD image-normalized), AbsolutePixels(t)
(retracted convention, reproducible + clearly non-comparable).
- pck_at(pred, gt, vis, k, normalization) — one canonical PCK reusing the
metrics_core geometric primitives (no duplicate kernel).
- mpjpe(pred, gt, vis) — 2D/3D, mm.
- PoseAccuracy { pck_at: BTreeMap<u8,f32>, mpjpe, normalization, n_keypoints,
n_frames } via accuracy_report(frames, ks, normalization) — an unlabeled PCK
number is structurally impossible.
17 hand-computed deterministic tests (no GPU, no datasets) prove the harness
arithmetic, including the key proof that identical predictions score
0.50 / 1.00 / 0.75 under the three normalizations, plus graceful degenerate
handling (zero torso, empty frames, NaN coords — no panic, never false-perfect).
This is measurement infrastructure, NOT an accuracy claim. Public API worth an
ADR — needs ADR slot 173 (parent to write).
wifi-densepose-train lib 191→206, test_metrics 12→14, 0 failed; full workspace
green (exit 0); Python deterministic proof unchanged
(f8e76f21a0f9852b70b6d9dd5318239f6b20cbcb4cdd995863263cecdc446f7a).
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr): ADR-173 — metric-locked PCK/MPJPE accuracy harness
Documents the accuracy harness (committed 3a8b2ed13) that resolves the
PCK-definition ambiguity flagged as the #1 beyond-SOTA risk in the SOTA brief
(#1090): three historical numbers (96/81.6/61) used three unstated
normalizations. The harness makes normalization explicit + selectable
(PckNormalization enum) and every reported number carries its definition.
Key proof: identical predictions → 0.50/1.00/0.75 under torso/bbox/abs.
Co-Authored-By: claude-flow <ruv@ruv.net>
* test(core,cli): pin DoS-resistance of CSI deserialisers (ADR-127 security review)
Beyond-SOTA security review of wifi-densepose-core + wifi-densepose-cli.
Load-bearing-question verdict: the NaN-state-poisoning bug class does NOT
originate in core — core exposes no stateful accumulator (no Welford,
von-Mises, IIR, voxel grid, running mean); each downstream crate rolls its
own, so each fix is correctly local. Both crates confirmed clean on every
reviewed dimension (panic-on-adversarial-input, NaN handling, unbounded
memory, path traversal, secrets) — no production code changed.
Adds 4 regression pins locking in two existing-but-untested DoS guards:
- core: from_canonical_bytes shape guard (Vec::with_capacity bound) — proven
to fail with `capacity overflow` when the saturating-mul guard is removed.
- core: canonical decoder never panics on arbitrary/truncated bytes.
- cli: parse_csi_packet rejects an oversized n_antennas*n_subcarriers claim
before Array2 allocation (33 MB claim in a 2 KB datagram -> None).
- cli: parse_csi_packet never panics on arbitrary UDP bytes.
core: 35 -> 37 lib tests; cli: 24 -> 26 tests; 0 failed. Python proof
unchanged (f8e76f21…46f7a — off the signal path).
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr): ADR-172 — wifi-densepose-cli + core CSI-deserialiser security review
Records the clean-with-evidence verdict + 4 DoS-resistance regression pins
(test-only, committed in a1051607d). Documents the load-bearing finding:
the NaN-state-poisoning bug class does NOT originate in a shared core
primitive (core exposes no stateful accumulator — MEASURED via grep), so
the 3 prior downstream-local fixes are complete. Gives the wifi-densepose-cli
review its own ADR slot (core portion cross-refs ADR-127 §9).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(homecore-migrate): redact secret value from malformed secrets.yaml error (secret-leak)
`read_secrets` wrapped serde_yaml's parse error into `MigrateError::YamlParse {
source }`. serde_yaml's message for a typed-tag coercion failure embeds the
offending scalar verbatim, e.g. `invalid value: string "<the-secret-value>"`.
That error propagates out of `read_secrets`, is `?`-returned by the
`InspectSecrets` CLI path in main.rs, and printed to stderr by anyhow — leaking
a secret value despite the CLI's deliberate `<redacted>` design.
Fix: secrets.yaml parse failures now map to a new redacting variant
`MigrateError::SecretsParse { path, line, column }` that carries only the file
path and a coarse location (from `serde_yaml::Error::location()`), never the
scalar content. Other (non-secret) YAML files keep `YamlParse`.
Pinned by `secrets::tests::malformed_secrets_error_never_contains_secret_value`
(asserts the rendered error AND its full #[source] chain never contain the
secret value; fails on the old `YamlParse` path) plus
`malformed_secrets_error_reports_location` (still fail-closed + locatable).
ADR-165 secret-handling rule: a secret value must never appear in output.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(homecore-migrate): record secret-leak fix in ADR-165 + CHANGELOG
Note the secrets.yaml error-redaction fix and the review's clean dimensions
(read-only source / no traversal / no panic / fail-closed versioning / no
injection) in ADR-165 §2.4, bump the test-evidence count 19→21 in §2.6, and add
an [Unreleased] Security entry to CHANGELOG.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(homecore): atomic state set — close TOCTOU lost/reordered state_changed events
StateMachine::set did get() (release shard lock) → compute next + no-op
decision → insert() (re-acquire lock) → send(). The read-modify-write was
not atomic w.r.t. a concurrent writer on the same entity: a writer that
read a stale `old` could mis-classify a real transition as a no-op and drop
its state_changed event (a missed automation trigger) or fire an event whose
new_state duplicated the previously delivered one (a spurious trigger for any
automation keyed on old_state != new_state). ADR-127 §2.1 promises "writer
atomically replaces the map entry"; the implementation did not.
Fix: hold the DashMap shard write-lock across the whole read→decide→insert→
fire sequence via entry()/insert_entry(). tx.send is non-blocking, non-async,
and never re-enters the map, so firing under the shard lock cannot deadlock
and keeps global event order in lock-step with global commit order.
Pinned by concurrent_set_fires_no_duplicate_adjacent_events: 4 writers
toggling one entity A/B; asserts no two consecutive fired events carry the
same new_state (impossible under correct serialisation). Fails reliably on
the old code (~365-476 duplicate-adjacent events on the first trial), passes
on the fix across repeated runs.
Co-Authored-By: claude-flow <ruv@ruv.net>
* harden(homecore): bound entity_id length — close memory-DoS at the REST boundary
homecore-api/src/rest.rs parses untrusted path segments straight through
EntityId::parse (get/delete/set_state). With no length cap, an otherwise-valid
id like "a." + many MB of [a-z0-9_] was accepted; a POST /api/states/<giant>
would persist it into the DashMap state store, permanently growing memory
(amplification across distinct ids).
Fix: reject ids longer than MAX_ENTITY_ID_LEN (255, HA-compatible) up front in
parse(), before any per-char scan, with a new EntityIdError::TooLong. Fails
closed at the boundary type so every caller (REST, registry deserialize,
automation) is protected.
Pinned by entity_id_length_boundary: exactly-MAX accepted, MAX+1 rejected,
4 MiB id rejected as TooLong. Fails on old code (oversized parses Ok).
Co-Authored-By: claude-flow <ruv@ruv.net>
* harden(homecore): isolate panicking service handlers (catch_unwind)
ServiceRegistry::call already ran handlers outside the registry lock (the
Arc<dyn ServiceHandler> is cloned out of the read guard first), so a panic
could never poison the RwLock or block other callers — good. But a panicking
handler unwound through call() into the caller's task; the task driving the
engine (e.g. an axum request handler invoking a service) could be aborted by
one buggy integration.
Fix: wrap the handler future in AssertUnwindSafe + FutureExt::catch_unwind and
convert a panic into ServiceError::HandlerPanicked. Mirrors HA isolating
service-handler exceptions. The registry stays fully usable afterwards.
Pinned by panicking_handler_is_isolated_and_registry_survives: the panicking
call returns HandlerPanicked (not an unwind), a sibling healthy service still
returns its value, and the bad service remains registered. Fails on old code
(the await point panics instead of returning Err).
Co-Authored-By: claude-flow <ruv@ruv.net>
* test(homecore): pin event-bus lag safety (bounded broadcast, no DoS)
Documents-with-evidence that the core EventBus does NOT have the homecore-api
WS broadcast-lag failure: with EVENT_CHANNEL_CAPACITY=4096, firing 3x capacity
while a subscriber never drains keeps fire_* non-blocking (publisher never
waits on slow receivers), gives the slow receiver a recoverable Lagged(n)
(drop-oldest + re-sync) rather than a closed channel, and leaves the bus live
for a fresh fast subscriber. No code change — pins the clean dimension.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(homecore): record ADR-127 §9 security+concurrency review + CHANGELOG
Documents the three pinned fixes (HC-RACE-01 state-set TOCTOU, HC-EID-LEN-01
entity_id memory-DoS, HC-SVC-PANIC-01 service-handler isolation) and the
clean dimensions (bounded event-bus lag handling, lock discipline / no
lock-across-await, no panic-on-input) with their evidence.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(homecore-assist): bound untrusted utterance length, fail closed (ADR-133 security)
The intent recognizers accept utterances from untrusted callers (voice
transcripts, the WebSocket `assist` command). Neither the regex nor the
semantic path bounded utterance length, so a pathological multi-megabyte
utterance forced an unbounded `to_lowercase()` clone plus a per-registered-
pattern scan (and, in the semantic path, full tokenisation + feature-hash
embedding) — an allocation/CPU amplification on attacker-controlled input.
The `regex` crate is linear-time (no catastrophic backtracking), so this was
a throughput/memory DoS rather than a hang, but it was still unbounded.
Fix: introduce MAX_UTTERANCE_BYTES (4 KiB — far above any real spoken
command) and check it at both recognizer boundaries BEFORE any allocation or
scan. An over-length utterance fails closed: Ok(None) (no intent, no action),
identical to an unrecognised phrase. No legitimate command is affected.
Pinned by fails-on-old tests:
- recognizer::over_length_utterance_fails_closed — an over-length utterance
that contains a valid command resolves to None (would have matched before)
- semantic_recognizer::over_length_utterance_fails_closed_semantic
Co-Authored-By: claude-flow <ruv@ruv.net>
* test(homecore-assist): pin clean security dimensions with evidence (ADR-133)
Adds regression tests documenting the dimensions reviewed and found clean,
so the properties cannot silently regress:
- runner: no subprocess surface exists. RufloRunnerOpts.{script_path,env}
are inert and never executed; even a hostile script_path/env spawns
nothing. And the entity_id capture class [a-z0-9_ .] strips every shell
metacharacter, so a resolved slot can never carry ; | & $ ` / etc into a
(future) argv — sanitisation by construction.
(shell_metachars_never_survive_into_a_resolved_slot,
runner_opts_are_inert_no_process_spawned)
- recognizer: the regex crate is a linear-time finite automaton; a classic
catastrophic-backtracking shape (a+)+$ on adversarial input completes in
bounded time — no ReDoS.
(pathological_backtracking_pattern_completes_in_bounded_time)
- embedding: embeddings are structurally finite (FNV feature-hash + guarded
L2 normalise, no external float input, no unguarded division), so a crafted
utterance cannot inject NaN/Inf to poison cosine k-NN; cosine against the
zero vector is a finite 0.0, never NaN.
(embeddings_are_structurally_finite, cosine_with_zero_vector_is_finite_not_nan,
empty_utterance_against_empty_index_no_panic_no_match)
- pipeline: injection-shaped utterances never deliver a metacharacter into a
service call; the worst case resolves to a clean entity token, and an
unrecognised utterance fails closed to not_understood (no action).
(pipeline_injection_shaped_utterance_carries_no_metachars_to_service)
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(homecore-assist): record ADR-133 security review (HC-ASSIST-01 + clean dims)
CHANGELOG [Unreleased] Security entry + ADR-133 section 6 review notes for the
homecore-assist voice/intent pipeline review.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(homecore-recorder): bound history query + add transactional purge (memory-DoS + disk-DoS)
Security review of the HA-compat state recorder (ADR-132) found two real
bounding bugs; SQL-injection and NaN-index dimensions confirmed clean.
(1) Memory-DoS: get_state_history carried no LIMIT — a wide [since,until]
window over a high-frequency entity loaded an unbounded row set into a
single in-memory Vec. Added LIMIT MAX_HISTORY_ROWS (1,000,000); the
sibling search paths were already k-bounded.
(2) Disk-DoS / documented-but-missing purge: README advertised
Recorder::purge(older_than) but no retention path existed -> unbounded
disk growth. Added a transactional purge with an EXCLUSIVE cutoff
(idempotent, no off-by-one) that deletes old states+events and
garbage-collects orphaned state_attributes blobs (dedup-shared blobs
are kept until their last referencing state is gone). All three deletes
run in one transaction so a mid-purge failure rolls back cleanly.
Pinning tests (homecore-recorder 19->25 no-default / 25->31 ruvector, 0 failed):
- malicious_entity_id_is_stored_literally_not_executed (SQL injection)
- like_metacharacters_in_query_are_literal_not_wildcards (LIKE escape)
- history_query_carries_a_limit_clause (memory-DoS bound)
- purge_keeps_boundary_row_and_drops_older (exclusive-cutoff, true pin)
- purge_gcs_orphaned_attributes_but_keeps_shared (dedup-safe GC)
- purge_also_removes_old_events
No behaviour change beyond the two fixes. Python deterministic proof
unchanged (recorder is off the signal proof path).
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(homecore-recorder): record ADR-132 security review findings
Add a "3a. Security review" section to ADR-132 and a CHANGELOG [Unreleased]
Security entry covering the homecore-recorder review: SQL-injection and
NaN-index dimensions confirmed clean with evidence (every query bound; LIKE
pattern bound+escaped; SHA-256->i32->f32 embeddings always finite, empty
index/k=0 probed no-panic), plus the two fixes (unbounded history LIMIT,
transactional exclusive-cutoff purge with orphan-attribute GC).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(homecore-automation): bound template render to stop unbounded-expansion DoS (HC-SEC-01)
A `template:` condition / value_template comes straight from user
automation config and was rendered with MiniJinja's default (no
instruction budget, no output cap). A single condition such as
`{% for i in range(5000) %}{% for j in range(5000) %}xxxx{% endfor %}{% endfor %}`
rendered a 100 MB string over ~11 s on one render call (proven
empirically) — a CPU/memory denial of service, the bfld-class
"unbounded expansion".
Fix:
- Enable MiniJinja's `fuel` feature and set a per-render instruction
budget (`set_fuel(Some(1_000_000))`). A nested loop burns one unit
per iteration, so the budget caps total work regardless of nesting;
the attack now fails fast (~90 ms) with "engine ran out of fuel".
- Reject template sources over 64 KiB before compilation (defense in
depth so a pathological literal can neither compile nor emit verbatim).
Legitimate HA templates (a few dozen instructions) are unaffected.
Tests (fail on old — unbounded render / no rejection):
- nested_loop_template_is_bounded_not_unbounded_dos
- single_huge_repeat_template_is_bounded
- oversized_template_source_is_rejected
- legitimate_template_still_renders_within_fuel (no regression)
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(homecore-automation): stop crafted delay/timeout from panicking the run task (HC-SEC-02)
`Action::Delay { seconds }` and `Action::WaitForTrigger { timeout_seconds }`
fed the user-supplied float straight into `Duration::from_secs_f64`, which
PANICS on negative, NaN, infinite, or overflowing inputs. All of those are
reachable from a crafted (or simply typo'd) automation YAML —
`delay: {seconds: -1}`, `.nan`, `.inf`, `1e308` — so one hostile config
aborts the spawned automation task with a panic
("cannot convert float seconds to Duration: value is negative", proven
empirically).
Fix: a `safe_duration_from_secs` guard that saturates instead of panicking,
matching Home Assistant's lenient "non-positive delay = no delay":
- NaN / ±inf / negative -> Duration::ZERO
- absurdly large (would overflow) -> clamped to ~100 years (MAX_DELAY_SECS)
Tests (fail on old — panic = failure):
- delay_negative_seconds_does_not_panic
- delay_nan_seconds_does_not_panic
- delay_infinite_seconds_does_not_panic
- wait_for_trigger_negative_timeout_does_not_panic
- safe_duration_saturates_hostile_values (incl. overflow clamp)
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(homecore-automation): record HC-SEC-01/02 security review (CHANGELOG + ADR-129 §8a)
Document the two DoS findings (template unbounded-expansion HC-SEC-01,
delay panic-on-config HC-SEC-02) and the dimensions probed clean
(condition fail-closed, bounded run-modes, sandboxed read-only templates).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(geo numerical robustness): parse_hgt underflow panic + haversine asin-domain NaN
Targeted numerical-robustness audit of wifi-densepose-geo (ADR-154-class sweep).
Two real bugs, each pinned by a fails-on-old test:
1. terrain.rs parse_hgt — usize underflow panic on degenerate input.
`side = sqrt(n_samples)`; for empty / sub-2x2 buffers side <= 1, so
`1.0 / (side - 1)` underflows `usize` (panic "attempt to subtract with
overflow" in debug; wraps to a huge value in release → garbage/inf
cell_size_deg that poisons every ElevationGrid::get). A truncated HTTP
body or a 404 HTML page reaches parse_hgt. Now bails with a clear error
when side < 2.
2. coord.rs haversine — asin domain overflow → NaN for (near-)antipodal
points. Floating rounding can push `h.sqrt()` to 1.0 + ~4e-16, and
`asin(>1)` is NaN (verified: pair (-44.4994,-178.95722)→(44.49939999,
1.04278001) yields h=1.0000000000000004). A NaN distance silently breaks
all downstream `<`/`>` comparisons. Clamp into [0,1] before asin.
Also pins the ±90° pole-singularity (cos(lat)=0 division) as no-panic; the
ENU transform itself is unchanged (no behavior change for valid inputs).
Tests: wifi-densepose-geo 9→15 lib (6 new), 8 integration unchanged. 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* test(pointcloud robustness): pin NaN-state-poisoning resistance + degenerate voxel fusion
Numerical-robustness audit of wifi-densepose-pointcloud. No bug found — the
crate is confirmed-robust against the proven NaN-state-poisoning class that bit
calibration/vitals. This adds regression pins documenting why:
1. csi_pipeline.rs — persistent auto-accumulating state (occupancy EMA,
vitals) is provably self-healing. The UDP parser only emits finite
amplitudes/phases (sqrt/atan2 of i8), and even an adversarial hand-built
CsiFrame with NaN/inf amplitudes+phases cannot latch non-finite state:
motion_score = (NaN/100).min(1.0) → 1.0; breathing path → 0 → clamp(5,40)
→ 5.0; tomography EMA uses only integer rssi. The new test injects 40
poisoned frames and asserts occupancy/vitals stay finite AND the pipeline
recovers to an in-range estimate afterward — so a future refactor that drops
a `.min`/`.clamp` self-heal would fail this pin.
2. fusion.rs — fuse_clouds voxel averaging is div-by-zero-safe (per-voxel
count >= 1 by construction). Pins empty / single-point / all-coincident
inputs as no-panic with finite output.
No behavior change. Tests: wifi-densepose-pointcloud 18→22 (4 new), 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(geo/pointcloud robustness): CHANGELOG + ADR-154 sibling-crate sweep note
Record the wifi-densepose-geo + wifi-densepose-pointcloud numerical-robustness
audit under CHANGELOG [Unreleased] → Fixed, and a sibling-crate-extension note
on the ADR-154 horizon ledger (these crates are outside ADR-154's signal scope
but the sweep is the same ADR-154 class).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(vitals): self-heal IIR filters after non-finite CSI frame (ADR-021/ADR-158 §A1)
The 2nd-order resonator bandpass_filter in BreathingExtractor and
HeartRateExtractor latches each output y[n] into the filter state
(y1/y2). A single non-finite amplitude residual from a corrupt CSI
frame produced a NaN output that was written into the state. The
existing extract() is_finite() guard dropped that one sample from the
history buffer but never sanitized the poisoned filter state, so every
subsequent output stayed NaN, was rejected too, and the sliding-window
history never refilled: breathing AND heart-rate extraction went
silently dead (returning None forever) until reset().
On the vitals alert path this is a safety-relevant denial of service —
one bad frame stops monitoring with no error surfaced. Same class as the
calibration NaN bug (ADR-154 §3) and the firmware vitals fixes
(#998/#996/#987): prior hardening guarded the history boundary but not
the filter-state boundary.
Fix: when bandpass_filter computes a non-finite output it resets the IIR
state to default and returns 0.0, so the resonator recovers on the next
clean frame (the 0.0 is still dropped by the caller's finite-check, so no
spurious sample enters history).
Also de-magic the safety-critical HR physiological plausibility band into
named HR_PLAUSIBLE_MIN_BPM/HR_PLAUSIBLE_MAX_BPM consts (value-identical
40/180 BPM).
Pinned by:
- breathing::tests::nan_frame_does_not_permanently_poison_filter (FAILS pre-fix)
- breathing::tests::inf_mid_stream_does_not_freeze_history (FAILS pre-fix)
- heartrate::tests::nan_frame_does_not_permanently_poison_filter (FAILS pre-fix)
- heartrate::tests::pure_noise_is_never_reported_valid (fabricated-vital negative)
- heartrate::tests::plausibility_band_constants_pinned (de-magic value pin)
wifi-densepose-vitals --no-default-features: 55->60 lib tests, 0 failed.
Workspace green (3370 passed, 0 failed). Python proof unchanged (vitals
off the deterministic proof's signal path).
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(vitals): record IIR NaN/inf self-heal fix (ADR-021, CHANGELOG)
Document the wifi-densepose-vitals filter-state poisoning fix in ADR-021
Implementation Notes (parallel to the firmware #998/#996/#987 robustness
class) and add a CHANGELOG [Unreleased] Fixed entry. Notes the confirmed
clean dimensions with evidence (flat -> None; noise -> low-confidence
Unreliable, never Valid; harmonic-rich breathing -> not a confident false
HR; out-of-band BPM clamped).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(calibration): drop non-finite samples in Features::from_series (ADR-151)
A single NaN/inf scalar sample (corrupt CSI frame) poisoned mean/variance
into NaN, which — baked into a persisted PresenceSpecialist::threshold —
silently disabled presence detection (every `f.variance > NaN` is false),
no error raised. extract.rs is the live-inference + training feature path,
yet (unlike geometry_embedding.rs) had no non-finite guard.
Fix at the production boundary: filter non-finite samples before computing
any statistic; an all-non-finite series degrades to Features::ZERO, same as
the empty series. Value-identical for all-finite input (full_loop + existing
extract tests unchanged). Pinned by two fails-on-old tests.
Co-Authored-By: claude-flow <ruv@ruv.net>
* refactor(calibration): de-magic specialist thresholds to named consts (ADR-151)
Promote the bare default min-score literals (breathing 0.25, heartbeat 0.3)
and the anomaly score scale / label cutoff (2.0× spread, > 0.5) to documented
named consts. Value-identical — pinned by characterization tests asserting the
consts equal the prior literals and the gate boundary (score >= floor).
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(calibration): record ADR-151 review — NaN fix + clean dimensions
CHANGELOG [Unreleased] Security entry and ADR-151 §6.1 review note for the
beyond-SOTA correctness+security review: NaN-poisoning fail-closed fix,
file/path (no I/O in crate), untrusted-load, receipt/hash (absent), and the
clean numerical paths — all with evidence.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(homecore-api security): auth-gate GET /api/ (HC-API-AUTH-01, ADR-161)
`rest::api_root` took no headers and unconditionally returned
`200 {"message":"API running."}`, while every sibling REST route gates
on `BearerAuth::from_headers`. HA's `APIStatusView` inherits
`requires_auth = True`, so `/api/` must return 401 for a missing/wrong
bearer — HA clients use it as a token-validation probe, so a 200 told a
bad-token client its token was valid and let an unauthenticated party
confirm a live endpoint. LOW severity (static body, no data leak),
reported at true severity.
Fix: `api_root(headers, State)` validates the bearer like `get_config`.
Pinned by fails-on-old tests (200 -> assert 401):
- api_root_rejects_missing_bearer
- api_root_rejects_wrong_bearer
guarded by api_root_accepts_correct_bearer (still 200 with valid token).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(homecore-api security): recover WS subscription on broadcast lag (HC-WS-LAG-01, ADR-161)
`subscribe_events`'s per-subscription task matched `Err(_) => break` on
both broadcast `recv()` arms. `RecvError::Lagged(n)` (a slow consumer
falling >EVENT_CHANNEL_CAPACITY=4,096 events behind) is recoverable —
the bus doc says "Lagged receivers must re-sync" and HA keeps the
subscription alive across a lag. The old code treated the first lag as
fatal, so after an event burst the client's stream went permanently
silent with no error frame — a self-inflicted event-delivery DoS under
load. LOW severity.
Fix: `Lagged(_) => continue` (skip dropped window, re-sync),
`Closed => break`, on both the system and domain arms.
Pinned by subscription_survives_broadcast_lag: subscribes, floods 6,000
filtered events past the 4,096 capacity to force a Lagged, then asserts
a subsequent subscribed event is still delivered (old code: 5s timeout).
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(homecore-api security): record HC-API-AUTH-01 + HC-WS-LAG-01 review (ADR-161)
CHANGELOG [Unreleased] Security entry + ADR-161 addendum documenting the
beyond-SOTA network-API review: two LOW bugs fixed (unauthenticated
GET /api/; WS subscription killed on broadcast lag) and the
auth/traversal/injection/info-leak/CORS dimensions confirmed clean with
evidence (no traversal surface — in-memory DashMap + EntityId allowlist;
HashSet token compare, not a byte-== timing oracle).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(bfld): route process_to_frame payload through PrivacyGate (ADR-141 privacy bypass)
BfldPipeline::process_to_frame stamped the frame header with the active
privacy class but serialized the caller-supplied BfldPayload UNCHANGED via
BfldFrame::from_payload. This let a frame labeled Anonymous(2) or
Restricted(3) carry the full identity-leaky compressed_angle_matrix
(+ amplitude/phase proxies, csi_delta) that PrivacyGate::demote is documented
and tested (privacy_gate_demote.rs) to strip at exactly those classes.
A NetworkSink accepts class >= Derived(1), so such a frame would publish the
beamforming angle matrix — the identity surface — across the node boundary
despite its restrictive class byte. The class byte lied about payload content.
Fix: after building the frame at the active class, apply PrivacyGate::demote to
the same class. demote() strips sections by target-class threshold (independent
of any class transition), so a same-class demote performs no class change but
brings the payload into policy compliance. Research classes (Raw/Derived) keep
the full payload — demote is a no-op there.
Pinned by three fails-on-old tests in pipeline_to_frame.rs:
- process_to_frame_at_anonymous_strips_identity_leaky_sections (FAILED pre-fix)
- process_to_frame_in_privacy_mode_strips_amplitude_and_phase (FAILED pre-fix)
- process_to_frame_at_derived_preserves_full_payload (guards against over-strip)
The pre-existing round-trip test is updated to assert the gated payload.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(bfld): JSON-escape zone_id in MQTT state-topic payload
render_events emitted the zone_activity payload as format!("\"{zone}\"") with no
escaping, while ha_discovery.rs already escapes operator-controlled strings via
push_str_field. A zone name containing a double-quote or backslash therefore
produced malformed / injectable JSON on the state topic that Home Assistant
parses (e.g. zone `a"b` -> payload `"a"b"`).
Fix: add json_string_literal() mirroring ha_discovery's escaping (", \, \n, \r,
\t, control chars) and use it for the zone payload. Value-identical for normal
zone names (living_room etc.).
Pinned by zone_payload_escapes_json_metacharacters (FAILED pre-fix); the
existing zone_payload_is_json_string_with_quotes still passes unchanged.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr-141): record bfld privacy+security review findings + CHANGELOG
Document the two fixed bugs (process_to_frame privacy-bypass; zone_id JSON
injection) and the dimensions confirmed clean (event-field gating, witness/hash
framing, fail-closed) in ADR-141, plus CHANGELOG [Unreleased] Security/Fixed
entries.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(engine): length-prefix witness fields to close domain-separation collision
The BLAKE3 trust witness concatenated model_version, calibration_version,
and privacy_decision boundary-to-boundary, with the variable-length evidence
list lacking an explicit count. A string straddling a field boundary (e.g. a
per-room adapter id absorbing the leading bytes of the calibration epoch, or a
model_version absorbing a trailing evidence ref) collided with a different
trust decision — silently un-distinguishing two distinct privacy-relevant
inputs and defeating the ADR-137 tamper/drift audit guarantee. model_version
is operator-influenceable via the adapter id (ADR-150 §3.4), so the ambiguity
was reachable.
Fix: domain-tag the hash and length-prefix every field (8-byte LE length),
plus an explicit evidence count. Pinned by two fails-on-old tests:
witness_distinguishes_model_calibration_boundary and
witness_distinguishes_evidence_model_boundary.
Co-Authored-By: claude-flow <ruv@ruv.net>
* test(engine): pin privacy monotonicity, fail-closed boundaries; de-magic constants
Review hardening for the governed-trust cycle (no behavior change):
- forced_contradiction_never_relaxes_class: property test over all 5 privacy
modes proving a forced contradiction only ever raises the emitted class byte
(more restrictive) and a clean cycle emits exactly the base class — the
ADR-141/120 information-only-removed invariant.
- empty_cycle_fails_closed: a zero-frame cycle errors (fusion NoFrames),
emits no SemanticState, and does not advance the cycle counter.
- single_node_cycle_is_well_formed: characterizes the n=1 boundary (no mesh,
no directional, base class, witness still emitted) — documents single-node
sensing as a valid non-demoting mode, not a bypass.
- De-magicked the engine-construction literals (coherence accept gate, ADR-143
SLAM discovery + static-anchor thresholds) into named documented consts,
value-identical, pinned by engine_constants_match_prior_values.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(engine-review): record witness domain-separation fix + monotonicity clean bill
CHANGELOG [Unreleased] Security entry and review notes appended to ADR-137
(witness domain-separation fix) and ADR-141 (privacy monotonicity confirmed
clean over all 5 modes, fail-closed boundaries pinned).
Co-Authored-By: claude-flow <ruv@ruv.net>
Bumps vendor/rufield to add --source live --upstream: the dashboard ingests
RuView's /ws/field events, verifies each ed25519 receipt on ingest (forged
events flagged, never fused), and renders real RuView FieldEvents through the
same display path. Honest SYNTHETIC/LIVE/DISCONNECTED banner, mutually
exclusive, never mislabeled (409 on /api/run in live mode). Closes the
RuView↔RuField visual loop (ADR-262 surfaces). 26 tests, 0 failed.
Co-authored-by: ruv <ruvnet@gmail.com>
* feat(ADR-262 P3): live RuField surface — RuView sensing speaks RuField on /api/field + /ws/field
Wire the P1 `wifi-densepose-rufield` bridge into the live
`wifi-densepose-sensing-server` so the governed sensing cycle emits real
signed RuField `FieldEvent`s on two additive endpoints.
- Cargo: add the `wifi-densepose-rufield` path dep (the single coupling
point, ADR-262 §5.4 — no new RuView-internal coupling).
- New `src/rufield_surface.rs` (kept out of the 8k-line main.rs):
`FieldSurface` holds a dedicated ed25519 `Signer` + a bounded ring of
recent events + the `/ws/field` broadcast topic; `GET /api/field` and
`GET /ws/field` handlers; a standalone `router()` for isolated testing.
- Signer (defers the P2 key decision, ADR-262 §8 Q1): a STANDALONE
dev/sensing key from `WDP_RUFIELD_SIGNING_SEED`, else a deterministic
dev default with a logged WARN. Reusing the `cog-ha-matter` Ed25519
key is the deferred P2 call — P3 does not pre-empt it.
- Tap: at the ESP32 governed-trust cycle (`main.rs` ~5886 observe_cycle
/ ~5938 SensingUpdate build), `emit_rufield_event` joins the cycle's
features/classification/signal_field with the engine's
effective_class/demoted trust state into a `SensingSnapshot` and
surfaces it via the bridge. Existing endpoints (`/ws/sensing` etc.)
are unchanged — purely additive.
- Privacy egress: `network_egress_allowed` is fail-closed for an
unattended live surface — only P1/P2 leave the box; P0 raw and
P3/P4/P5 (identity/biometric/aggregate) are held edge-local. A
`Derived` cycle maps to P4/P5 and never surfaces.
- No-phantom: `emit` drops no-presence cycles (no fabricated events).
Gates (tests/rufield_surface_test.rs, tower::oneshot, 4/0): well-formed
signed event (WifiCsi, P2 not P1, is_fusable, real timestamp); empty
cycle → no phantom; Derived trust never surfaces; mixed stream surfaces
only egress-safe events.
Honesty (ADR-262 §0/§6): real plumbing on a live endpoint, NOT accuracy.
Single-link CSI with its existing caveats (no validated room-coordinate
accuracy); dedicated dev signing key pending the P2 ownership decision;
no accuracy claim.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(ADR-262 P3): mark P1+P3 implemented; document /api/field + /ws/field; CHANGELOG
- ADR-262 Status → "P1 + P3 implemented"; add a P3 implementation-status
block (tap site, endpoints, dedicated dev signer deferring the §8 Q1
key decision, fail-closed egress, gates). Keep the honesty framing:
real plumbing on a live endpoint, not accuracy.
- CHANGELOG [Unreleased]: add the ADR-262 P3 entry.
- user-guide: add `/api/field` to the REST table + a "RuField surface
(ADR-262 P3)" section covering `/api/field` + `/ws/field`, the
fail-closed P1/P2-only egress, the WDP_RUFIELD_SIGNING_SEED dev key,
and the no-accuracy honesty note.
Co-Authored-By: claude-flow <ruv@ruv.net>
* ci: checkout submodules everywhere + Dockerfile copies vendor/rufield
Making wifi-densepose-rufield (ADR-262 bridge) a v2 workspace member means
EVERY cargo-on-workspace context must have the vendor/rufield submodule
present (cargo loads all member manifests). P1 only fixed the rust-tests
job; this adds `submodules: recursive` to all workflow checkouts that run
cargo (mqtt-integration was failing on the missing submodule manifest), and
makes Dockerfile.rust COPY vendor/rufield/ to /vendor/rufield (matches the
bridge's ../../../vendor/rufield path-dep under the collapsed Docker layout).
update-submodules.yml left alone (it manages submodules itself).
Co-Authored-By: claude-flow <ruv@ruv.net>
---------
Co-authored-by: ruv <ruvnet@gmail.com>
* feat(rufield): ADR-262 P1 — wifi-densepose-rufield anti-corruption bridge
New v2 workspace member that converts RuView WiFi-CSI sensing output into
signed RuField FieldEvents. Path-deps the vendor/rufield submodule crates
(rufield-core/-provenance/-privacy/-fusion); single coupling point between
RuView and the standalone RuField MFS spec (ADR-262 §5.4).
- SensingSnapshot: owned primitives mirroring SensingUpdate + TrustedOutput
(no dependency on wifi-densepose-sensing-server).
- snapshot_to_field_event(): builds a WifiCsi FieldTensor + Observation,
derives a real position from the signal-field peak (never fabricated),
real sha256 provenance + ed25519 signature (synthetic=false).
- map_privacy() (§3.3 crux): maps by information content, NEVER byte value —
Derived (byte 1) → P4/P5, never P1; fail-closed demotion floor to P2.
P1 gates (tests/p1_gates.rs): round-trip serde, is_fusable verified receipt,
RuFieldFusion::ingest accept + infer runs, privacy-safety (Derived never P1),
full §3.3 table, fail-closed demotion, determinism, no-fabricated-position.
15 tests pass (5 unit + 9 integration + 1 doc), 0 failed.
Honesty: P1 plumbing (tested conversion + safe privacy mapping), NOT wired
into the live server (P3) and NOT an accuracy claim.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr-262): mark P1 implemented + CI submodules:recursive + CHANGELOG/CLAUDE
- ADR-262 Status → "Proposed — P1 implemented"; add §0.1 Implementation
status (the bridge crate + the five P1 gates that pass; defers the
provenance-carrier reuse, P3 live wiring, and P4 multi-modality).
- ci.yml: add `submodules: recursive` to the rust-tests checkout so the new
crate's `vendor/rufield` path-deps resolve in CI (they fail otherwise even
though the workspace build passes locally with the submodule present).
- CHANGELOG [Unreleased]: P1 bridge entry (kept alongside the upstream
ADR-262 research entry).
- CLAUDE.md: crate table row for `wifi-densepose-rufield`.
Co-Authored-By: claude-flow <ruv@ruv.net>
Researched integration ADR: thin wifi-densepose-rufield bridge crate
(rvcsi pattern), live SensingServerAdapter emitting signed FieldEvents,
vertical fusion composition (ruvsense within-WiFi → rufield cross-modal),
and ONE canonical privacy/provenance model (RuView effective_class →
RuField P0-P5 at egress; reuse cog-ha-matter SHA-256+Ed25519 receipt).
Key finding: RuView has 2 privacy enums + 3 witness mechanisms; the
Derived(byte=1)<Anonymous(byte=2)-but-carries-identity trap means the
bridge must map by information content, not byte value. Plumbing
architecture, not accuracy (real-CSI is unlabeled replay today).
Co-authored-by: ruv <ruvnet@gmail.com>
* feat(ruvector): real float HNSW + SymphonyQG-style quantized-traversal index (ADR-261)
Adds the graph-ANN index the ruvector retrieval path was missing (ADR-156
§5 #1 noted there was no HNSW baseline to measure SymphonyQG against).
- hnsw.rs: correct float HNSW (Malkov & Yashunin) — multi-layer NSW graph,
ef_construction/ef_search, Algorithm-4 neighbour selection, seeded-
deterministic level assignment (SplitMix64, reused from rotation.rs),
L2 + cosine, brute-force ground truth, full degenerate-case guards.
recall@10 correctness gate >=0.95 vs brute force (L2 + cosine).
- hnsw_quantized.rs: SymphonyQG-style variant — same graph, traversal scored
by cheap 1-bit Hamming over the RaBitQ Pass-2 rotated sign code, final
exact-float rerank.
- ann_measure.rs: shared deterministic planted-cluster fixture + recall/QPS
measurement (ann_bench_report is the ADR source of truth).
Fixes an index-out-of-bounds bug the recall gate caught: insert wired
bidirectional edges before pushing the node's own link row. +20 tests,
ruvector lib 131->151, 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* bench(ruvector): criterion ann_bench for HNSW vs quantized vs linear (ADR-261)
Times the same shared ann_measure fixture/indices through criterion so the
bench and the report test can never measure different graphs.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr-261): graph-ANN index ADR with MEASURED HNSW vs quantized verdict
ADR-261 (Accepted): float HNSW ~25x QPS over linear scan at recall >=0.99
(the baseline ADR-156 said was missing). Honest negative: the 1-bit
quantized traversal is too coarse to beat float HNSW at equal recall at
N=10k (best recall 0.738, no >=0.90 equal-recall point) — the SymphonyQG
3.5-17x is NOT reproduced by our 1-bit construction; expected crossover at
large N + a multi-bit code. Caveat: our HNSW + our quant, not SymphonyQG's
system — direction tested, not a 1:1 reproduction.
ADR-156 §5 #1 + §8 backlog: CLAIMED -> MEASURED-direction-tested.
CHANGELOG [Unreleased] entry.
Co-Authored-By: claude-flow <ruv@ruv.net>
ADR-260 (Accepted — v0.1 reference stack): RuField, the open specification
for camera-free multimodal field sensing — one FieldEvent/FieldTensor/
FusionGraph/PrivacyClass/ProvenanceReceipt model above WiFi CSI/CIR/BFLD,
UWB, BLE Channel Sounding, mmWave radar, ultrasound, subsonic, infrared,
and quantum sensors.
Published standalone as github.com/ruvnet/rufield and vendored here as the
vendor/rufield submodule (the vendor/rvcsi pattern — not a v2/ workspace
member). v0.1 reference stack: 6 crates, 60 tests/0 failed, clippy-clean.
All benchmark metrics SYNTHETIC (simulator ground truth, no hardware).
Co-authored-by: ruv <ruvnet@gmail.com>
* fix(firmware): gate phantom persons + add presence hysteresis (#998, #996)
Two ESP32 edge-vitals logic bugs in edge_processing.c. Both are
robustness/logic fixes — NOT validated-accuracy claims. True count/PCK
vs labelled ground truth remains hardware/data-gated (COM9 ESP32-S3).
#998 — n_persons over-counted (reported 4 for one person):
update_multi_person_vitals() split top-K subcarriers into top_k_count/2
groups and marked EVERY group active, so one body's multipath always
read the full EDGE_MAX_PERSONS. Added two pure, host-testable helpers:
- count_distinct_persons(): per-group energy gate
(EDGE_PERSON_MIN_ENERGY_RATIO) + spatial dedup
(EDGE_PERSON_MIN_SC_SEP) so weak/adjacent multipath groups don't
count as separate bodies. Strongest group always counts (>=1).
- person_count_debounce(): a gated count must hold
EDGE_PERSON_PERSIST_FRAMES consecutive frames before it's emitted,
so a single noisy frame can't promote a phantom.
The active flags now mark only the strongest stable_count groups.
#996 — presence flag flickered at ~50cm despite high presence_score:
the bare `score > threshold` compare chattered on a noisy score
(field-observed 2.6-26.7 frame-to-frame). Replaced with a Schmitt
trigger + clear-debounce (presence_flag_update): assert above
threshold, hold in the dead band down to threshold *
EDGE_PRESENCE_HYST_RATIO, clear only after EDGE_PRESENCE_CLEAR_FRAMES
consecutive sub-low frames. presence_score itself is unchanged and
still emitted for consumer-side thresholding.
All thresholds are named, documented constants in edge_processing.h.
Firmware builds clean for esp32s3 (idf.py build RC=0).
Co-Authored-By: claude-flow <ruv@ruv.net>
* test(firmware): host C99 tests for vitals count + presence logic (#998, #996)
test/test_vitals_count_presence.c pins the two fixes with deterministic
host-buildable tests (no ESP-IDF needed). 13 cases / 22 assertions, all
passing under gcc 13 -Wall -Wextra:
#998 count gate: single strong signature + multipath -> count==1;
two well-separated -> 2; two strong-but-adjacent -> 1 (dedup);
no signal -> 0; three well-separated -> 3.
#998 debounce: transient spike rejected; sustained change accepted;
flapping count stays stable.
#996 presence: dithering trace -> stable flag (no flicker); brief dips
held by clear-debounce; genuine departure clears within hold window;
dead-band holds state.
The named tuning constants are #include'd from the real
edge_processing.h so the test and firmware can never disagree on
thresholds. `make run_vitals` / `make host_tests` added; binaries
gitignored.
Hardware-gated caveat documented in the test header: these pin the
decision LOGIC; the exact energy/separation/hysteresis values that best
match a real room vs labelled occupancy remain on-device tuning.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs: record ESP32 vitals count/presence fixes (#998, #996)
CHANGELOG [Unreleased] Fixed: root cause + fix + named constants + test
+ explicit hardware/data-gated caveat for both bugs.
ADR-021 Implementation Notes: dated 2026-06 entry noting the edge-path
person-count + presence-flicker fixes are boolean/count emission-logic
fixes, not a validated-accuracy claim; thresholds pending on-device
calibration.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(sensing-server): emit real field-derived person position/motion to /ws/sensing (#1050)
The Observatory 3D figure never animated because the sensing_update WS
frame carried no per-person position/motion_score/pose — only image-space
keypoints. The FigurePool/PoseSystem (and demo-data.js's own contract)
animate each figure from persons[i].position (room-world), .motion_score
(0..100), and .pose; none were on the live stream.
Honest scope (Case 2): the pipeline has no calibrated per-person room
localizer or per-person skeletal pose. New field_localize module extracts
the strongest peak(s) from the real signal_field grid (subcarrier
variances x motion-band power) and maps the peak cell to Observatory world
coords with the exact _buildSignalField transform. motion_score is the
measured motion_band_power passed through; pose is set only from a real
aggregate posture estimate, else None (never a fabricated skeleton).
Empty/below-threshold field -> persons: [] (no phantom); present person
with no resolvable peak keeps position [0,0,0], not invented coords.
attach_field_positions runs after the tracker step at all five broadcast
sites. New position/motion_score/pose fields added to both PersonDetection
structs. No UI change needed — the Observatory already reads these fields.
Tests: field_localize peak/coordinate/empty/separation units +
observatory_persons_field_position_tests (known-peak -> emitted position,
empty-room -> no phantom, pose real-or-None, below-threshold honesty).
sensing-server bin 441->451, 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(changelog): record #1050 Observatory persons position/motion fix
Co-Authored-By: claude-flow <ruv@ruv.net>
* perf(signal): hoist FFT planner across subcarriers (ADR-154 §7.4 #20)
compute_multi_subcarrier_spectrogram called compute_spectrogram once per
subcarrier, and each call built a fresh FftPlanner + re-planned the same
length-window_size FFT. Hoist the plan + window out of the per-subcarrier
loop via a new compute_spectrogram_with_plan core that takes a pre-planned
Arc<dyn Fft> and pre-built window. compute_spectrogram delegates to it
(unchanged behaviour); the multi-subcarrier path plans once and reuses.
MEASURED-HOT (dsp_perf_bench, this box): at 56 subcarriers, window 128,
fresh-planner-per-subcarrier 467.88 µs -> hoisted-plan 254.75 µs = 1.84x;
window 256: 627.27 µs -> 448.39 µs = 1.40x. Plan-forward cost alone is
~1.86 µs (w128), x56 subcarriers ~= the removed delta.
Output is bit-identical: multi_subcarrier_hoisted_plan_bit_identical
compares f64::to_bits of every spectrogram value + freq/time resolution
against the per-call fresh-planner path across all 4 window functions x
{power,magnitude} on a 56-subcarrier matrix. The numeric STFT body is the
old loop verbatim; only plan/window construction is lifted.
Co-Authored-By: claude-flow <ruv@ruv.net>
* test(signal): boundary/tolerance tests for ADR-154 §7.4 #14#16#19
Three "+ test" backlog gaps closed — pure additions, no behaviour change
(phase_align refactor is internal: estimate_phase_offsets still returns the
identical offset vector; a counted core is split out only to observe the
iteration count).
#14 cir.rs fft_operator — fft_operator_within_tolerance_of_dense_canonical56:
the opt-in FFT Φ/Φᴴ path changes the witness hash, so pin it numerically
CLOSE to the dense path (not silently divergent). Asserts the full Cir
output (every tap within 1e-2·dominant, dominant idx/ratio, active_tap_count,
ranging_valid, rms_delay_spread) on the production canonical-56 config
across τ ∈ {20,50,90} ns. Extends the existing HT20/single-τ test.
#16 phase_align.rs — refinement_terminates_at_iteration_cap_when_not_converging:
forces non-convergence (tolerance=0.0, unreachable) and asserts the loop
runs exactly max_iterations then returns — proving the cap, not convergence,
bounds the loop (no infinite spin). Companion
refinement_converges_before_cap_on_easy_input proves the cap is an upper
bound, not the only exit.
#19 csi_ratio.rs — ratio_finite_at_and_below_1e_12_epsilon: the module
implements the CSI ratio as the conjugate product H_i·conj(H_j) (no
division), so it is finite even at/below the 1e-12 magnitude boundary a
naive H_i/H_j division would need an epsilon to guard. Pins finiteness +
bit-exact conjugate product at the boundary (zero target → zero, never
inf/NaN), through the amplitude/phase extraction.
cargo test -p wifi-densepose-signal --no-default-features --lib: 447 passed,
0 failed; --features cir --lib: 447 passed, 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr-154): record Milestone-2 P2-perf verdicts + boundary tests (§7.4)
§7.4: #20 MEASURED-HOT (1.40–1.84× spectrogram FFT-plan hoist, bit-identical);
#5/#6/#7 MEASURED-NULL (benched, not hot, left as-is — sub-µs / stack-only /
alloc-once); #8 MEASUREMENT-ONLY (per-call 56×56 eigh cost; eigenvalue/BLAS
backend un-buildable on this Windows host, number deferred to a BLAS box, NOT
fabricated; also corrects the finding — extract_perturbation reuses cached
modes, the recompute is in estimate_occupancy). #14/#16/#19 RESOLVED (tolerance
/ convergence-cap / epsilon-boundary tests). Updated §7.4 intro + Horizon-ledger
(deferred count 41→36). CHANGELOG [Unreleased] entry added.
Co-Authored-By: claude-flow <ruv@ruv.net>
* bench(signal): committed P2 bench-first benches (ADR-154 §7.4 #5/#6/#7/#8/#20)
New dsp_perf_bench.rs backs every Milestone-2 perf verdict with a committed
criterion bench — no speedup claimed without a before/after number here, and
a benched NULL is the proof a micro-opt was unnecessary (the §5.x "already
amortized" pattern). Registered in Cargo.toml [[bench]].
MEASURED (this box, criterion medians):
#20 spectrogram_multi_subcarrier (fresh vs hoisted plan):
MEASURED-HOT — 467.88→254.75 µs (1.84x) @ sc56/w128; 627.27→448.39 µs
(1.40x) @ sc56/w256. Optimized in the prior commit.
#5 multistatic_attention/weights: MEASURED-NULL — 181 ns (2 nodes) ..
848 ns (8 nodes); sub-µs, no hot-path alloc — left as-is.
#6 tomography_reconstruct/solve: MEASURED-NULL — 47.5 µs (16 links) /
60.4 µs (32 links) for a full 50-iter ISTA solve; the 2 per-solve voxel
buffers (~4 KB) are negligible vs O(iters·links·voxels) compute, and
reconstruct(&self) reuses them across iterations already — left as-is.
#7 pose_kalman_update/cycles: MEASURED-NULL — 150 ns (17 kpts) / 2.82 µs
(170); the Kalman "gain matrices" are fixed-size STACK arrays
([[f32;3];6]), zero heap — nothing to reuse — left as-is.
#8 field_model_occupancy (eigenvalue feature): MEASUREMENT-ONLY — quantifies
the per-call n×n eigendecomposition cost; incremental SVD is a sized
future project, not attempted (number recorded in ADR-154 §7.4).
Reproduce:
cargo bench -p wifi-densepose-signal --no-default-features --bench dsp_perf_bench
cargo bench -p wifi-densepose-signal --bench dsp_perf_bench # adds #8
Cargo.lock: dev-dep (criterion/clap) graph + crate version bumps from the
build; no runtime-dependency change.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(hardware): constant-time HMAC sync-beacon tag compare (ADR-157 §B4)
AuthenticatedBeacon::verify compared the 8-byte HMAC-SHA256 tag with
`self.hmac_tag == expected`, which short-circuits on the first differing
byte and leaks, via verification latency, how many leading bytes a forged
tag matched — a byte-by-byte tag-recovery oracle (~256·N trials vs 256^N).
Replace with a hand-rolled branch-free `constant_time_tag_eq`: XOR-accumulate
every byte difference into a single u8 with no early exit, compare to zero
once. `#[inline(never)]` + `core::hint::black_box(diff)` resist the optimizer
reintroducing a short-circuit or a non-constant-time memcmp; length mismatch
returns false without inspecting contents. No new dependency — ADR-157 had
deferred this only to avoid the `subtle` crate; a fixed 8-byte compare needs
none.
Test (hard gate): tag_compare_is_constant_time_shape — equal / first-differ /
last-differ / all-differ / length-mismatch + end-to-end verify() last-byte
tamper. Proven to fail on a last-byte-skipping constant-time bug. A coarse
timing smoke check (tag_compare_timing_invariance_smoke) is #[ignore]d to
avoid CI flakiness. Grade MEASURED (constant-time construction).
ADR-157 §8 §B4 → RESOLVED. wifi-densepose-hardware: 164 passed / 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(wifiscan): MEASURE native wlanapi.dll vs netsh throughput (ADR-157 §5 #4)
ADR-157 §5 #4 recorded the native wlanapi.dll multi-BSSID fast path as
"asserted but NOT implemented; live scanner is the ~2 Hz netsh shim". Audit
finding: that status is stale — wlanapi_native::scan_native already implements
the real WlanOpenHandle → WlanEnumInterfaces → WlanGetNetworkBssList →
WlanFreeMemory/WlanCloseHandle FFI (handle cleanup on all exits, length-bounded
buffer walks, #[cfg(windows)] with typed Unsupported off-Windows), and
WlanApiScanner::scan_instrumented already wires it native-first with a netsh
fallback. The missing piece was an honest MEASUREMENT.
Add benchmark_backend(backend, window): drives one specific backend over a
fixed wall-clock window so netsh is timed independently (the existing
benchmark() picks native-first and so never measures netsh on a box where
native works). Returns None for an unavailable native path (honest negative,
not a fabricated number).
MEASURED on this box (Intel Wi-Fi 7 BE201 320MHz, 2026-06-13), 10 s window:
native 21.42 Hz vs netsh 3.84 Hz = 5.57× (mean 5.0 BSSIDs/scan each).
native-only run: 18.0 Hz. 50/50 back-to-back native scans, no handle leak.
A real positive result — NOT a fabricated 10×. Achieved 21.4 Hz is in the
asserted >2 Hz regime, below the asserted 10–20 Hz upper bound.
Tests (live-WLAN, #[ignore] for CI, RUN here):
measure_native_vs_netsh_throughput, native_scans_dont_leak_handles,
measure_native_scan_rate. Non-ignored pin native_scan_runs_real_ffi_on_windows
(pre-existing) stays green. wifi-densepose-wifiscan: 94 passed / 0 failed.
ADR-157 §5 #4 + §8 → MEASURED (was ACCEPTED-FUTURE / CLAIMED-unmeasured).
Co-Authored-By: claude-flow <ruv@ruv.net>
* refactor(train): hoist canonical PCK/OKS to un-gated metrics_core; fold test_metrics onto production (ADR-155 M1 §8)
ADR-155 §8 deferred item: test_metrics.rs reference kernels validated
production against their OWN reimplementation — a test that cannot catch a
canonical-impl bug (both could be wrong the same way).
- Extract canonical_torso_size / pck_canonical / oks_canonical / sigmas /
bounding_box_diagonal into a new NON-tch-gated `metrics_core` module, so
the single metric definition is reachable under
`cargo test --no-default-features` (the `metrics` module is tch-gated).
`metrics` re-exports every item → still exactly ONE implementation.
- Rewrite tests/test_metrics.rs to assert the PRODUCTION pck_canonical /
oks_canonical equal hand-computed fixtures (not a reimplementation):
canonical_pck_matches_hand_computed_fixture (corr=3/total=4/pck=0.75),
hip↔hip normalizer pin, zero-visible⇒0.0, OKS perfect⇒1.0, fake-Gold pin.
- Keep an INDEPENDENT raw-threshold reference kernel only as a differential
cross-check: test_kernel_agrees_with_canonical asserts it AGREES with
canonical where torso==1.0 (genuine cross-check, not duplication).
Grade: MEASURED. test_metrics 10→12 tests, 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(sensing-server): relabel divergent live PCK/OKS so they're never conflated with canonical (ADR-155 M1 §2.1/§8 Goal C)
Goal C named training_api.rs:804 (torso-HEIGHT PCK). Auditing it surfaced
TWO findings the ADR-155 §1 table missed:
1. training_api.rs is an ORPHAN file — not declared `mod` in lib.rs OR main.rs,
so it does NOT compile into the crate. It does not drive the live server.
2. The REAL live `best_pck`/`best_oks` (main.rs training path → RVF metadata
JSON read by model_manager.rs) come from trainer.rs:
- `pck_at_threshold` = RAW-threshold PCK, NO torso normalization (the most
divergent kind), printed/serialized as bare "PCK@0.2".
- `oks_map` calls `oks_single(area=1.0)` = the EXACT fake-Gold pattern
ADR-155 §2.1 claimed closed elsewhere — still live here, inflating best_oks.
Resolution = RELABEL (torso/raw math is load-bearing on different data; the
pub fns can't be renamed without breaking API; sensing-server has no train/
ndarray dep). Honest unify is a tracked §8 backlog item.
- training_api.rs: `compute_pck` → `compute_pck_torso_height` + divergence doc;
val_pck/best_pck/val_oks struct fields documented as torso-HEIGHT proxies;
logs say `pck_torso_h@0.2`. Test torso_pck_is_labelled_distinctly_from_canonical.
- trainer.rs (LIVE): `pck_at_threshold` documented raw-unnormalized; `oks_map`
area=1.0 flagged fake-Gold; test pck_at_threshold_is_raw_unnormalized_not_canonical.
- main.rs: live print relabelled `pck_raw@0.2` / `oks_map(area=1.0 proxy)`.
No wire-format field renames (back-compat); no pub-API rename (no silent break).
Grade: MEASURED (relabel + divergence pinned). sensing-server 450→451 lib tests, 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr-155): mark §8 metric items RESOLVED + audit map + honest §1 under-count correction (M1b Goals A/D)
- §8.1: full PCK/OKS audit map (every def: file:line, basis, canonical/
legacy/distinct), the two §8 items marked RESOLVED with resolution+why.
- Honest finding: §1's "seven divergent metrics" was an UNDER-count —
sensing-server's LIVE trainer.rs has a raw-unnormalized PCK and an
area=1.0 fake-Gold OKS the table omitted, and the file §8 named
(training_api.rs) is orphaned dead code. §9 honest-limits updated.
- Goal D: metrics.rs *_v2 variants confirmed caller-less + deprecated;
noted for future cleanup, NOT deleted (public API, tch-gated).
- CHANGELOG [Unreleased] Fixed entry.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(ruvector): RaBitQ Pass-2 randomized rotation + topk bugfix (ADR-156 §8)
Implements the deferred "Multi-bit / Extended RaBitQ Pass 2" backlog item
from ADR-156 §8: a deterministic randomized orthogonal rotation applied
before sign-quantization, the published RaBitQ construction (Gao & Long,
SIGMOD 2024).
Rotation construction: Fast Hadamard Transform + seeded ±1 sign flips
("HD" / randomized Hadamard), O(d log d) time and O(d) memory — a dense
d×d rotation is O(d²) and infeasible at the 65,535-d the wire format
provisions for. Pads to the next power of two; SplitMix64 seeds the sign
stream so index-time and query-time rotations are bit-identical.
API is additive and backward-compatible: Pass 1 (`from_embedding`) is
untouched; Pass 2 is opt-in via `Sketch::from_embedding_rotated` and
`SketchBank::with_rotation` (+ `insert_embedding` / `topk_embedding` /
`novelty_embedding` helpers that rotate consistently). Default behaviour
is unchanged.
While building the Pass-2 coverage harness, found and fixed a PRE-EXISTING
correctness bug in `SketchBank::topk`: the n>k heap path used
`BinaryHeap<Reverse<(d,id)>>` (a min-heap) but treated its peek as the
max, so it returned the k FARTHEST sketches as "nearest". The shipped unit
tests only exercised the n≤k fast path, so it went unnoticed. Fixed to a
plain max-heap; pinned by `topk_heap_path_returns_nearest` and
`tight_clusters_give_high_coverage_with_overfetch` (the latter measured
0.072 on the old code).
New tests (+17, 100→117 in the crate): rotation determinism/norm-preservation
(`rotation_is_deterministic_for_seed`, `rotation_preserves_norm`), Pass-2
shape-compatibility, `pass2_coverage_not_worse_than_pass1`, and a
deterministic coverage report.
MEASURED top-K coverage (anisotropic planted-cluster fixture, cosine ground
truth; dim=128 N=2048 K=8 64 clusters noise=0.35 128 queries):
candidate_k=K=8 : Pass1 36.13% -> Pass2 46.39% (both << 90% bar)
candidate_k=24 : Pass1 83.89% -> Pass2 91.60% (Pass2 clears 90%)
candidate_k=32 : Pass1/Pass2 100%
Honest result: rotation consistently helps (+10pp at strict K), but neither
pass clears the ADR-084 90% bar at candidate_k==K on this distribution.
Pass 2 reaches 90% only with ~3x over-fetch (the ADR-084 "candidate set"
deployment pattern). Multi-bit Pass 3 evaluated separately.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(ruvector): multi-bit Pass-3 experiment + ADR-156/084 measured results
Adds the multi-bit half of the ADR-156 §8 "Multi-bit / Extended RaBitQ"
item as a MEASURED experiment (coverage::measure_multibit): rotate, then
b-bit uniform scalar-quantize each coord, rank by L1 over codes — the
natural multi-bit generalization of hamming. Measures the bit/coverage
tradeoff the backlog item asked for.
MEASURED at the strict bar (candidate_k=K=8, anisotropic planted-cluster
fixture, cosine ground truth):
Pass1 (1-bit, no rot) 36.13% 16 B/vec
Pass2 (1-bit, rot) 46.39% 16 B/vec
Pass3 (rot, 2-bit) 54.39% 32 B/vec
Pass3 (rot, 3-bit) 66.70% 48 B/vec
Pass3 (rot, 4-bit) 74.22% 64 B/vec
Honest: multi-bit monotonically helps but even 4-bit (4x memory) reaches
only 74% at the strict bar — neither rotation nor <=4-bit multi-bit clears
the strict-K 90% bar on this distribution. The bar is met via over-fetch
(Pass2 @ candidate_k=24). Tests: multibit_tradeoff_report,
multibit_1bit_matches_pass2_approx (+ sanity that 1-bit ~= Pass-2).
Docs:
- ADR-156 §8 item #2 marked RESOLVED-PARTIAL; §5 #2 grade CLAIMED ->
MEASURED-on-our-hardware; new §10 with full measured tables, the topk
bugfix disclosure, and graded deferred sub-items.
- ADR-084: "Pass 2" section answering the rotation open-question with
measured numbers + the topk bug note.
- CHANGELOG [Unreleased]: Added (Pass-2 milestone) + Fixed (topk heap).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(signal): circular phase variance for ghost-tap guard (ADR-154 §7.4 #1)
`phase_variance` computed a LINEAR sample variance over phase angles that
wrap at ±π, so a tightly-clustered set straddling the branch cut reported
spuriously HIGH dispersion — false-tripping the `> TAU` ghost-tap guard on
real, tightly-clustered CIR taps.
Replace with Mardia's circular variance V = 1 − R̄, bounded [0,1] and
invariant to where the cluster sits on the circle. Re-derive the guard
against the bounded metric via a named const
`GHOST_TAP_CIRCULAR_VARIANCE_MAX` (the old TAU-scaled threshold is
meaningless on [0,1]).
Grade: metric fix MEASURED; threshold value DATA-GATED — a clean single-path
ramp also sweeps the circle, so V alone cannot separate clean from
unsanitized without labelled frames. Conservative default (0.99) errs toward
never false-rejecting, strictly more permissive at the wrap boundary than the
buggy linear guard.
Fails-on-old test: `phase_variance_circular_not_fooled_by_branch_cut` —
inlines the old linear variance to show it exceeds TAU on wrap-straddling
phases while circular V≈0 and the guard no longer trips. Plus
`phase_variance_circular_is_bounded_and_extremal` (V∈[0,1], V≈0 identical,
V≈1 uniform).
cargo test -p wifi-densepose-signal --no-default-features --features cir --lib
→ 432 passed, 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(signal): pin Welford n=0/n=1 finiteness guard (ADR-154 §7.4 #10)
The shared `WelfordStats` (field_model.rs, used by longitudinal.rs and others)
relies on `count < 2` guards in `variance`/`sample_variance`/`std_dev`/
`z_score` to stay finite at the boundaries. The guards existed but the n=0
boundary was UNTESTED — exactly the §4 divide-by-(n−1) family the ADR groups
this with.
Add `welford_finite_at_n0_and_n1` asserting every statistic is finite and
returns the documented sentinel (0.0) at n=0 and n=1, plus load-bearing doc
comments on the two guards.
Fails-on-old proof: with the `sample_variance` guard removed, the test FAILS
with "attempt to subtract with overflow" at the `(self.count - 1)` underflow
(0usize − 1); `variance` would similarly yield 0.0/0.0 = NaN. The guard is
restored; the test pins it so a future regression is caught.
Grade: MEASURED (boundary finiteness is asserted; the guard is the §4-family
fix made testable).
cargo test -p wifi-densepose-signal --no-default-features --lib field_model
→ 22 passed, 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* refactor(signal): de-magic adversarial thresholds + boundary tests (ADR-154 §7.4 #13)
Lift the bare numeric literals buried in `check`/`check_consistency` into
named, documented module consts (FIELD_MODEL_GINI_VIOLATION=0.8,
ENERGY_RATIO_HIGH_VIOLATION=2.0, ENERGY_RATIO_LOW_VIOLATION=0.1,
CONSISTENCY_ACTIVE_FRACTION_OF_MEAN=0.1, SCORE_W_* weights). VALUES UNCHANGED —
each const equals the original literal; only names + pinning tests are new.
Grade: DATA-GATED. The operating values stay empirical (defensible values need
labelled spoofed/clean CSI — Wi-Spoof, §6.2/§7.3). The de-magicking +
characterization tests are MEASURED: `tuning_consts_unchanged_from_literals`,
`energy_ratio_high_boundary`, `energy_ratio_low_boundary`,
`field_model_gini_boundary`, `consistency_active_fraction_boundary` pin the
decision boundaries at/just-below/just-above each threshold, so a future
data-driven retune is a visible, tested change.
Fails-on-change proof: bumping ENERGY_RATIO_HIGH_VIOLATION 2.0→3.0 makes
`energy_ratio_high_boundary` FAIL (restored). Operating values explicitly
NOT changed.
cargo test -p wifi-densepose-signal --no-default-features --lib ruvsense::adversarial
→ 20 passed, 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* refactor(signal): de-magic coherence drift/gate thresholds (ADR-154 §7.4 #9)
Lift the bare detection literals in `coherence.rs::classify_drift`
(DRIFT_STABLE_SCORE=0.85, DRIFT_STEP_CHANGE_MAX_STALE=10) and the
`coherence_gate.rs` Default impl (DEFAULT_ACCEPT_THRESHOLD=0.85,
DEFAULT_REJECT_THRESHOLD=0.5, DEFAULT_MAX_STALE_FRAMES=200,
DEFAULT_PREDICT_ONLY_NOISE=3.0) into named, documented consts. VALUES
UNCHANGED. The gate already exposed these via GatePolicyConfig (config seam);
this names + pins the defaults.
Grade: DATA-GATED. Operating values stay empirical (defensible Z-score
thresholds need labelled stable/drifting coherence traces). De-magicking +
boundary tests are MEASURED: `classify_drift_stable_score_boundary`,
`classify_drift_stale_count_boundary` pin the at/just-below/just-above
decisions; `drift_consts_unchanged_from_literals` /
`gate_default_consts_unchanged_from_literals` pin the values. Operating values
explicitly NOT changed.
cargo test -p wifi-densepose-signal --no-default-features --lib ruvsense::coherence
→ 40 passed, 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr-154): mark §7.4 P1 backlog cleared — Milestone-1 (#1,#10 RESOLVED; #9,#13 DATA-GATED)
Update ADR-154 §7.4 backlog rows #1, #9, #10, #13 with commit refs + grades,
the §7.4 intro count (four P1 items cleared, ~41 P2/P3 remain), the
Horizon-ledger one-liner (Milestone-1 DONE), and the §8 honest-limits #1 line
(metric now correct; threshold still DATA-GATED). Add CHANGELOG [Unreleased]
entry.
Grades: #1 RESOLVED (MEASURED metric / DATA-GATED threshold), #10 RESOLVED
(MEASURED), #9 & #13 RESOLVED-PARTIAL (DATA-GATED — de-magicked + boundary
tested, operating values unchanged).
Validation: cargo test --workspace --no-default-features → 2057 passed, 0
failed; wifi-densepose-signal lib → 442 passed (no-default + --features cir);
python archive/v1/data/proof/verify.py → VERDICT: PASS, hash f8e76f21…46f7a
UNCHANGED (CIR ghost-tap guard is not on the deterministic proof path).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(sensing-server): stop leaking internal errors in HTTP responses (ADR-080 #2)
Six handlers in `main.rs` serialized the internal error `Display` straight
into the JSON response body, leaking server internals to any client (ADR-080
finding #2, CWE-209; reframed onto the Rust boundary by ADR-164 G11):
- edge_registry_endpoint: a panicked spawn_blocking `JoinError`
("task … panicked") in a 500, and the raw upstream error in a 503
- delete_model / delete_recording / start_recording: std::io::Error
strings carrying OS detail / filesystem paths
- calibration_start / calibration_stop: the FieldModel error chain
New `error_response` module: `internal_error` / `internal_error_json` /
`upstream_unavailable` log the full detail server-side only (tagged with a
correlation id) and return a generic body
(`{"error":"internal_error","correlation_id":…}`) — no `panicked`, no file
paths, no Debug chain. The correlation id lets an operator join a client
report to the exact server log line without ever shipping the detail.
Pinned by 5 error_response tests, incl. a leak-substring guard
(internal_error_body_does_not_leak_detail) verified to FAIL on the reverted
old body (returns the panic message / path / "os error"). The HOMECORE sweep
(ADR-161) covered homecore-server, not this crate.
Co-Authored-By: claude-flow <ruv@ruv.net>
* test(sensing-server): pin XFF-immunity + no-query-token (ADR-080 #1, #3)
Findings #1 (XFF-spoofing bypass) and #3 (JWT-in-URL, CWE-598) were logged
against the Python v1 API but are VERIFIED ABSENT on the current Rust
sensing-server, so they get regression tests rather than redundant fixes:
- #1 XFF: there is no IP-based rate-limiter or IP-allowlist to bypass, and
neither security middleware reads a forwarded header. Added
bearer_auth::xff_header_never_affects_auth_decision (spoofed
X-Forwarded-For never flips a 401<->200 decision) and
host_validation::forwarded_headers_never_bypass_host_allowlist (spoofed
X-Forwarded-Host: localhost never lets Host: evil.com past the allowlist).
- #3 JWT-in-URL: require_bearer reads the token only from the Authorization
header; WS handlers take no query token; the sole Query extractor
(EdgeRegistryParams) is a non-secret refresh flag. Added
bearer_auth::query_string_token_is_never_accepted — ?token= / ?access_token=
in the URL never authenticates (stays 401) while the header path still 200s.
Verified to FAIL when a query-token path is injected into require_bearer.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr-080): mark P0 security findings #1-#3 RESOLVED; close ADR-164 G11
- ADR-080: Status note + per-finding closure (#1 XFF and #3 JWT-in-URL
verified absent + regression-pinned; #2 leaked errors fixed via the
error_response module). Records the v1-vs-Rust boundary distinction
explicitly: v1 paths remain archived; this closure governs the shipped
Rust sensing-server.
- ADR-164: Gap Register G11 and the Open/Gated Backlog entry marked
RESOLVED with the fix + branch reference.
- CHANGELOG: [Unreleased] -> ### Security entry covering all three findings.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr): renumber 6 displaced ADRs to resolve duplicate-number collisions (ADR-164 G1)
Resolves the 5 duplicate ADR numbers (6 displaced files) flagged by ADR-164
Gap Register item G1. Canonical keeper per number = first file committed at
that number (date tie-broken by inbound cross-reference count / parent-appendix
relationship). Displaced files renumbered to the next free numbers (166-171):
050 keeps provisioning-tool-enhancements (5 refs vs 1)
-> ADR-166-quality-engineering-security-hardening
052 keeps tauri-desktop-frontend (parent ADR)
-> ADR-167-ddd-bounded-contexts (its appendix)
147 keeps nvidia-cosmos/OccWorld (the actual ADR, has Status header)
-> ADR-168-benchmark-proof (proof companion, no Status)
-> ADR-169-adam-mode-light-theme (was untracked)
148 keeps drone-swarm-control-system (committed #862)
-> ADR-170-yoga-mode-pose-system (was untracked)
149 keeps public-community-leaderboard-huggingface (committed 16:47 vs 17:38)
-> ADR-171-swarm-benchmarking-evaluation-methodology
Updates in-file `# ADR-NNN` headers and intra-file self-references (yoga-modes
* docs(adr): repoint inbound cross-references to renumbered ADRs (166-171)
Follow-up to the ADR renumbering (ADR-164 G1). Updates every inbound reference
that pointed at a displaced ADR, disambiguating shared numbers by title/slug so
only references to the DISPLACED topic move and keeper references stay put.
ADR-168 (was 147 benchmark-proof): README, CHANGELOG, user-guide,
proof-of-capabilities, research docs 00/03 — all path/label refs updated.
ADR-169 (was 147 adam-mode) / ADR-170 (was 148 yoga-mode): docs/adr/README index.
ADR-171 (was 149 swarm-benchmarking): all ruview-swarm eval code+docs
(Cargo.toml, evals/, eval_swarm.rs, metrics/mod/report/runner.rs), research
doc 03 (every §-ref matched ADR-171 sections, not AetherArena), 00-system-review,
series README, CHANGELOG, and ADR-148's forward/"open issues" pointers.
ADR-166 (was 050 quality-engineering / security-hardening): disambiguated from the
ADR-050 provisioning KEEPER by topic. The HMAC/secure_tdm, directory-traversal,
bind-address, and OTA-PSK-auth references in code comments
(wifi-densepose-hardware Cargo.toml + secure_tdm.rs, sensing-server main.rs) and
in ADR-052-tauri / ADR-167 all describe the security-hardening ADR -> ADR-166.
ADR-167 (was 052 ddd-appendix): inbound appendix references.
Index/registry updates: docs/adr/README.md, gap-analysis/census.md (rows +
header count), gap-analysis/lens-findings.md (collision table marked RESOLVED),
and ADR-164 Gap Register G1 marked RESOLVED with the full renumber map.
Keeper references deliberately untouched: all ADR-147 OccWorld code, all ADR-148
drone-swarm code/docs, all ADR-149 AetherArena refs (incl. ADR-150's SSL/resampling
refs, which ADR-150 explicitly binds to the AetherArena benchmark), ADR-050
provisioning refs, ADR-052 tauri refs. The frozen GitHub blob URLs in
docs/adr/.issue-177-body.md (pinned to an old branch) are left as historical.
Comment-only code edits; no behavior change. wifi-densepose-hardware compiles
clean; the sensing-server build's sole blocker is the pre-existing upstream
midstreamer-temporal-compare@0.2.1 registry crate, unrelated to these edits.
Co-Authored-By: claude-flow <ruv@ruv.net>
The streaming-engine privacy-demotion test fed a 2 ms timestamp spread, which
demoted under the old 1 ms soft guard. #1031 raised the default soft guard to
20 ms (to accommodate the real TDM slot offset), so 2 ms now fuses cleanly with
no demotion. Bump the test spread to 25 ms (above the 20 ms soft guard, within
the 60 ms hard guard) so it still proves the ADR-137 -> ADR-141 demotion wiring.
Co-Authored-By: claude-flow <ruv@ruv.net>
ProgressiveLoader rejected the published ruvnet/wifi-densepose-pretrained model
with the opaque "invalid magic at offset 0: expected 0x52564653 (RVFS), got
0x77455735", then silently fell back to signal heuristics (the "10 persons for
1" garbage reporters saw). The HF repo ships model.safetensors,
model-q{2,4,8}.bin (magic 0x77455735 = "5WEw"), and model.rvf.jsonl -- none
carry the binary-RVF magic the loader wants.
- New model_format module: auto-detects RVFS / safetensors / HF-quant-bin /
JSONL by magic+name; returns a typed actionable ModelLoadError (lists accepted
formats + the one-command convert path, never the opaque magic); converts
safetensors / model.rvf.jsonl -> RVF in-memory so the published full-precision
model loads via --model.
- load_or_convert_model: native RVF first, else auto-detect+convert+load, else
typed error. The silent heuristics fallback is now a loud, actionable message.
- --convert-model <in> --convert-out <out> CLI subcommand: one-command offline
conversion, verifies the output loads before writing.
- #1031 env seam: WDP_TDM_SLOTS + WDP_TDM_SLOT_US derive the multistatic guard
from a deployment TDM schedule (default 60 ms / 20 ms otherwise).
Honest scope: the converter wires the format/load path (safetensors F32 tensors
-> RVF weight segment, manifest written, Layer A/B/C succeed, weights
round-trip). It does NOT claim end-to-end pose accuracy -- the HF pose-decoder
architecture differs from this crate inference head (data-gated in #894).
Quantized .bin blobs are rejected with a typed error pointing at safetensors.
Tests (fail on the old opaque-magic path):
- model_format::safetensors_converts_and_loads
- model_format::hf_quant_classifies_to_actionable_error
- model_format::{jsonl_converts_and_loads, convert_to_rvf_dispatches_and_rejects_quant, ...}
Co-Authored-By: claude-flow <ruv@ruv.net>
MultistaticConfig::default().guard_interval_us was 5_000 us (5 ms) with a
comment claiming "well within the 50 ms TDMA cycle". That is wrong: on an
N-slot TDM schedule node k transmits in slot k, so two nodes are separated by
the slot offset, not clock jitter. A real 2-node mesh (slots 0/1) measured an
18,194 us spread, so every real frame set exceeded the 5 ms guard and fuse()
silently fell back to per-node sum/dedup -- multistatic fusion never ran on
hardware.
- Raise default hard guard to 60 ms (full 50 ms TDMA cycle + 20% jitter
headroom, derived from the slot model and documented in the field doc).
- Raise soft guard to 20 ms (just above the observed 18.2 ms 2-slot spread).
- Add MultistaticConfig::for_tdm_schedule(total_slots, slot_duration_us).
- Keep the honest per-node fallback for genuinely-mismatched frames.
Tests (fail on the old 5 ms default):
- fuse_real_tdm_spread_18194us_fuses_with_default_guard
- configurable_guard_rejects_too_large_spread
- for_tdm_schedule_invariants
Co-Authored-By: claude-flow <ruv@ruv.net>
Register every runtime skill module behind one uniform EdgeSkill trait and
run them all per CSI frame, aggregating (skill, event_id, value) triples.
- src/pipeline_all.rs: CsiFrameView (borrowed per-frame inputs), EdgeSkill
trait, EdgePipeline (Box<dyn> dispatch over all skills), SkillEvent/SkillInfo
introspection. Host-only (std); the wasm no_std build keeps the flagship
lib.rs pipeline.
- src/skill_registry.rs: per-skill adapters (fwd_skill! direct-forward +
synth_skill! for non-tuple returns). No skill DSP changed — only call wiring.
gesture/coherence/adversarial synthesize one event; sig_sparse_recovery gets
an owned mutable amplitude scratch; timer skills driven once per frame.
- med_* tier registered only under --features medical-experimental (preserves
the ADR-160 safety gate). Default tier = 59 skills; +medical = 64.
- tests/pipeline_all.rs: 4 tests — all skills run without panic over 300
deterministic synthetic frames, every emitted id is declared by its skill,
introspection well-formed, default tier excludes medical (59) / medical adds 5 (64).
- examples/run_all_skills.rs: runnable demo printing per-skill event totals.
Full suite: 619 passed default (615 M6 baseline + 4 new), 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
Records the remediation done in this branch:
- G3 (homecore-recorder/migrate phantom ADRs) → RESOLVED: ADR-132 + ADR-165 written.
- G5 (10 streaming-engine Proposed-while-built) → RESOLVED: 136-145 flipped to
"Accepted — partial", with the honest caveat that the notes describe building
blocks built+tested, not live-path integration.
- G2 (missing Status headers) → corrected: ADR-134-CIR was mislabeled as missing
(it has a Status row); the 2 genuine misses (147-benchmark-proof, 052-ddd) are
both inside owner-gated duplicate-number collisions, so left untouched. Early
ADRs using "| Status |" vs "| **Status** |" are different-format-but-present.
Net: 0 status headers added.
- Updated Coverage-Gaps bullets for recorder/migrate.
Renumbering/dedup of the 6 collisions left owner-gated, as instructed.
Co-Authored-By: claude-flow <ruv@ruv.net>
All 10 streaming-engine ADRs (136-145) carried Status: Proposed while each has a
concrete commit-pinned "Built -- tested building block" Implementation-Status note
(136: 11f89727f; 137: 4fa3847ac; 138: fc7674bde; 139: 521a012d8; 140: 169a355bd;
141: 7d88eb84c; 142: 1f8e180d6; 143: 2d4f3dea5; 144: b10bc2e9a; 145: 0f336b7d3),
each with a test count.
Flipped each to "Accepted — partial (built + tested building block; integration
glue pending — see Implementation Status, commit <hash>)". Honest "partial", not
full Accepted: the notes themselves state the blocks are tested+compiling but
"mostly not yet on the live 20 Hz path". 143 (v2 dataset-gated) and 144 (no UWB
radio in fleet) carry their specific residual gates inline.
Co-Authored-By: claude-flow <ruv@ruv.net>
homecore-migrate cited "ADR-134 (HOMECORE-MIGRATE)", but on-disk ADR-134 is
"First-Class CIR Support" — a different decision. The migrate crate was governed
by a phantom identity (ADR-164 Gap G3).
- New ADR-165-homecore-migrate-from-home-assistant.md (next free number),
reverse-documented from the shipped P1 scaffold: HA .storage reader, versioned
format gate (unknown minor_version = hard error), per-artifact parsers, inspect
CLI, structured errors. Status: Accepted — P1 scaffold (full conversion P2).
Trust-boundary rationale for the untrusted .storage import is the centerpiece.
- Repointed every ADR-134 governing reference in v2/crates/homecore-migrate/
(Cargo.toml, README.md, src/lib.rs, src/config_entries.rs,
src/storage_format/mod.rs) → ADR-165. Left the ADR-132 (recorder-feature)
refs intact. Explanatory renumber notes retained.
- On-disk ADR-134 (CIR) untouched. ADR-126 series-map registry row owner-gated.
Docs/comments only — cargo build -p homecore-migrate --no-default-features
still compiles.
Co-Authored-By: claude-flow <ruv@ruv.net>
Two ingest bugs caused real ESP32-C6 HE20 CSI to be silently discarded or
never received — the "real data silently lost" failure class. Each fix is
pinned by a test that fails on the old code.
#1009 §1b — HE20 baseline recorder trimmed 256->242 bins by sequential index.
ESP-IDF v5.5.2 delivers all 256 FFT bins for an HE20 frame, but
CalibrationConfig::he20() carried num_active: 242, so the recorder (no HE20
tone map — extract_first_stream takes the first num_active columns
sequentially) kept bins 0..242 = the lower guard band + DC, NOT the 242 active
tones, silently corrupting the empty-room baseline. Now num_active: 256 records
every delivered bin, aligned 1:1 with the live deviation() path. The exact-242
tone map stays only in cir.rs (HE20_ACTIVE), where the Phi sensing matrix needs
it. HE20 synthetic/bench fixtures updated to feed 256-bin frames.
#1009 §1a/§1c — u8->u16 n_subcarriers truncation, regression-pinned.
The ADR-018 wire format carries n_subcarriers as u16 LE at bytes 6-7; a 256-bin
HE20 frame (byte6=0x00) read as one byte decodes to 0 subcarriers -> every
frame skipped. The CLI parser and the sensing-server parse_esp32_frame were
already corrected to u16 under #1005/ADR-110; added regression tests that fail
on the old single-byte read so the truncation cannot silently return.
#1004 — --source auto latched on simulate forever, never binding UDP :5005.
A one-shot boot probe resolved the source once; with no CSI flowing at boot
(the normal firmware/server startup race) it served simulated poses for the
whole process and ignored real CSI arriving seconds later (the prior #937 fix
hard-exited instead — equally wrong). New plan_source() state machine: in auto
mode ALWAYS bind the UDP receiver and serve simulated only until the first real
frame, then udp_receiver_task promotes source -> esp32 (mirroring the existing
esp32 -> esp32:offline reversion). simulated_data_task self-suspends once
promoted. Explicit --source simulated stays a hard, UDP-free offline override.
Validation: 3-crate tests 1118 passed / 0 failed; workspace 3166 passed /
0 failed; Python proof VERDICT: PASS (bit-exact, unaffected). cir.rs untouched.
Co-Authored-By: claude-flow <ruv@ruv.net>
cargo fix ran under --no-default-features and removed an import/mut that are
'unused' ONLY in the minimal build but genuinely USED in CI's full build
(error[E0596]: cannot borrow result as mutable in desktop discovery.rs). Those
are false-positive warnings in the minimal config. Reverted bridge.rs/
commissioning.rs/discovery.rs to origin/main; kept the always-safe edits
(dead-code #[allow] notes + ClockGateDecision doc fields + camera macOS-only
allow). Full-features build of all four crates: Finished, 0 errors.
Co-Authored-By: claude-flow <ruv@ruv.net>
Adds benchmarks/edge-latency/RESULTS.md (wiflow-std RESULTS style: each
measured number with reproduce command, machine, MEASURED-on-host grade,
and the honest host-vs-ESP32 / steady-state-vs-cold-start caveats) and
ADR-163 (HEADLINE: CLAIMED latency budgets -> MEASURED-on-host, closing
M5/M6 measurement debt; ESP32-on-hardware still pending).
- ADR-160 deferred 'criterion benches for process_frame budget claims'
line updated to DONE (host) with the ESP32-pending note.
- PROOF.md performance table gains the two edge-latency reproduce rows;
provenance ADR range extended to ADR-163.
- prove.sh gated section gains the edge-latency bench note (host proxy
only; not asserted, never claims the ESP32 figure).
Benches/docs only; no crate republishes.
Co-Authored-By: claude-flow <ruv@ruv.net>
Criterion benches over InferenceEngine::infer for cog-person-count and
cog-pose-estimation, on Device::Cpu with the real shipped safetensors
weights (asserts candle backend so the stub is never silently benched),
over a fixed CSI window after a warm-up forward.
HOST-MEASURED steady-state medians (idle box): ~305us each. This is the
recurring per-frame cost and is explicitly NOT the pose manifest's
cold_start_ms_avg=5.4 (a different measurement, weight-load included, taken
on ruvultra/RTX 5080) -- the two are labelled and not conflated.
Closes the ADR-159/160 deferred cog inference-latency item. No production-
code behavior change.
Co-Authored-By: claude-flow <ruv@ruv.net>
Criterion benches over the M6-audit-named heaviest hot paths:
exo_time_crystal 256x128 autocorrelation, exo_ghost_hunter periodicity,
sec_weapon_detect per-subcarrier Welford, med_seizure_detect clonic rhythm
(medical-experimental-gated). Drives each through the public process_frame
on a fixed synthetic CSI frame after warming the relevant buffers.
Crate is workspace-excluded: run from the crate dir with --features std.
Set lib bench=false so libtest does not intercept criterion CLI flags.
HOST-MEASURED medians (Intel Core Ultra 9 285H, native --release), NOT the
ESP32/WASM3 doc budget (that needs hardware): time_crystal 17.3us,
ghost_hunter 1.44us, weapon 0.42us, seizure 0.10us.
Closes the ADR-160 deferred 'criterion benches for process_frame budget
claims' item on host. No production-code behavior change.
Co-Authored-By: claude-flow <ruv@ruv.net>
ADR-161 implemented RunMode::Single (AtomicBool re-entrancy guard) + Parallel
but honestly left Restart/Queued/max as "ACCEPTED-FUTURE / unbounded parallel" —
every non-Single mode spawned an unbounded task. This makes them real.
New `runmode` module — per-automation RunState owns the machinery:
- Restart: aborts the in-flight action task (tokio::task::AbortHandle) and
starts a fresh one.
- Queued: serializes runs in arrival order via a per-automation async Mutex —
sequential, never concurrent, nothing dropped.
- max: N: caps concurrency at N via a per-automation Semaphore; triggers beyond
N queue (await a permit) rather than running concurrently (HA bounded
semantics). Documented in the module table.
- Single/IgnoreFirst/Parallel preserved.
engine.rs now holds a RunState per registration and calls run_state.dispatch()
at all three trigger sites (event loop, timer, fire_time_for_test); the old
spawn_run is removed. engine.rs trimmed to 433 lines.
Tests (tests/engine_behaviors.rs) — verified to FAIL on the old unbounded-
parallel dispatch (simulated and confirmed each panics), pass on the new:
- restart_mode_cancels_prior_run (old: both runs complete → 2; new: 1)
- queued_mode_runs_sequentially_not_concurrently (old: max concurrency 3; new:
all 3 run, max concurrency 1)
- max_two_caps_concurrency_at_two (old: 4 concurrent; new: all 4 run, max 2)
homecore-automation --no-default-features: 45 passed (lib 37, engine_behaviors
8), 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
ADR-161 honestly relabelled the manifest's wasm_module_hash / wasm_module_sig /
publisher_key as "(P4 — not yet enforced)" and the homecore_permissions claims
as deferred P5 authority isolation. This makes both real and tested.
P4 (signature/integrity verification, SECURITY):
- New `verify` module: SHA-256 module-hash check + Ed25519 signature
verification over the digest against publisher_key, with a PluginPolicy
trust allowlist and an explicit AllowUnsigned dev escape hatch (loud warn).
Secure default rejects unsigned / unknown-publisher / tampered modules.
- Reuses the in-repo cog-ha-matter::witness_signing Ed25519 pattern; sha2 is a
workspace dep, ed25519-dalek/hex/base64 already in the lock — no new external
dep tree (only new edges in homecore-plugins).
- WasmtimeRuntime::load_plugin verifies before instantiation; legacy load_wasm
retained for trusted/test modules.
P5 (authority/capability isolation, SECURITY):
- New `permissions` module: PermissionSet distilled from homecore_permissions
(state:write:<glob> or bare entity glob). hc_state_set now consults it and
returns a typed -3 to the guest on an undeclared write (no host panic).
Tests (fail on old code, which had no load_plugin/verify and an unchecked
hc_state_set): tampered module rejected; valid sig from trusted key loads;
valid sig from untrusted key rejected; unsigned rejected by default and loads
only under AllowUnsigned; light.* plugin writes light.kitchen but is denied
lock.front_door; no-permission plugin can write nothing. Real deterministic
keypair signs real bytes.
Manifest doc updated: P4/P5 now ENFORCED (was "not yet enforced").
homecore-plugins --features wasmtime: 32 passed (lib 23, integration 9), 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
env_override_* and env_empty_* both set_var/remove_var the same process-global
HOMECORE_CORS_ORIGINS; under full-workspace parallelism they raced (one's
remove_var wiped the other's value mid-assert). Serialize via a poison-tolerant
module Mutex. Test-only.
Co-Authored-By: claude-flow <ruv@ruv.net>
Records the Milestone 7 audit: library cores are real (anti-slop positive) but
the network boundary had a CRITICAL WS auth bypass (A1) + reply-theater (A2) +
documented-but-no-op automation (A3-A7) + a network-exposed dev bin (A8), all
fixed and graded MEASURED with failing-on-old tests. Cites the NO-ACTION
security positives (uuid::v4 CSPRNG refuted-suspicion, hardened CORS,
no-traversal migrate, no-secrets-in-logs, honest HAP stub) and the deferred
backlog (plugin authority-isolation P5, sig-verification P4, HAP real pairing
P2, bounded run-modes, YAML load-at-boot).
Co-Authored-By: claude-flow <ruv@ruv.net>
manifest.rs documented wasm_module_hash as 'verified before execution' but
wasm_module_hash/wasm_module_sig/publisher_key are never read for verification
(only set to None in tests). Re-doc'd the three fields as P4-not-yet-enforced
so the doc matches the code. No verification code added (that is P4); no false
capability claimed.
Co-Authored-By: claude-flow <ruv@ruv.net>
A3 (HIGH): homecore-server constructed AutomationEngine then dropped it
immediately while the doc claimed automation was active. Now .start()s the
engine into a long-lived binding (event loop + timer task).
A4 (HIGH): Trigger::Time was hard-coded false with no timer. Added a 1 Hz
wall-clock timer task that fires time: automations when local HH:MM:SS matches
'at' (HH:MM or HH:MM:SS); matches_sync(Time)=false is now correct + documented.
A5 (HIGH): RunMode was documented as AtomicBool-enforced but every trigger
spawned unbounded parallel. Each automation now carries a running AtomicBool;
Single/IgnoreFirst skip re-entrant triggers, Parallel fires every time.
(Bounded Queued/Restart/max → ACCEPTED-FUTURE, honestly stated in the doc.)
A6 (HIGH): Action::Choose discarded choices and always ran default. Now
deserialises each branch's conditions, evaluates them, and runs the first
matching branch; default only if none match.
A7 (MEDIUM): template: conditions were always false in the engine path
(EvalContext built with template_env: None). The engine now builds a
TemplateEnvironment over the state machine and threads it into every
EvalContext (event loop, timer, Choose).
Tests (fail on old source):
- engine_behaviors::time_trigger_fires_via_timer_path (A4)
- engine_behaviors::single_mode_does_not_double_fire_on_rapid_triggers (A5; old fired 2x)
- engine_behaviors::parallel_mode_does_fire_concurrently (A5)
- action::choose_runs_matching_branch_not_default (A6; old ran default)
- engine_behaviors::template_condition_evaluates_true_in_engine (A7; old always false)
engine.rs kept <500 lines; behavioral tests moved to tests/engine_behaviors.rs.
Co-Authored-By: claude-flow <ruv@ruv.net>
A1 (CRITICAL): the /api/websocket handshake accepted any non-empty token,
ignoring the LongLivedTokenStore whitelist the REST path enforces — a full
WS auth bypass. Now validates via state.tokens().is_valid() before auth_ok;
wrong tokens get auth_invalid + close.
A2 (HIGH): WS command replies were pushed into an mpsc whose only consumer
logged and discarded them — no result/pong/event reached the client. Split
the socket with futures StreamExt::split; a dedicated writer task drains the
response channel onto the wire.
A8 (HIGH): the homecore-api dev bin bound 0.0.0.0 with unconditional
allow-any auth and no env path. Wired the HOMECORE_TOKENS env path (dev
fallback warn-logged when unset) and defaulted the bind to 127.0.0.1
(HOMECORE_BIND to opt into LAN).
Tests (fail on old source):
- ws_handshake::wrong_token_is_rejected (old → auth_ok)
- ws_handshake::result_reply_is_received / ping_pong_reply_is_received (old → timeout)
- server_bin_auth::provisioned_bin_rejects_wrong_bearer / from_env_path_enforces_whitelist
Co-Authored-By: claude-flow <ruv@ruv.net>
One-command harness: clone, run scripts/prove.sh, and every headline claim is
either verified on your machine (re-runs the bug-catching tests) or printed as
'CLAIMED — not reproduced here' with the exact prerequisite. Hard gate =
workspace tests + deterministic Python proof; section 3 re-runs 7 anti-slop
assertion tests (each fails on pre-fix code); gated claims (GPU/dataset/hardware/
trained-checkpoint/named-identity) are honestly listed, never faked.
Co-Authored-By: claude-flow <ruv@ruv.net>
checkpoint_round_trip / rvf_test / rvf_pipeline_test shared fixed temp_dir paths
and remove_dir at teardown, so two concurrent/repeated test runs raced (one's
teardown wiped the other's file -> NotFound). Make each dir process-unique.
Test-only; no public API change.
Co-Authored-By: claude-flow <ruv@ruv.net>
- tests/honest_labeling.rs: 10 source-presence tests asserting the A1-A5 claim
invariants (disclaimers present, uncited stat removed, WEAPON_ALERT no longer
exported, med_* feature-gated, no static-mut event buffers). Each is designed to
FAIL on the pre-fix source (ADR-159 A5 manifest-roundtrip style).
- ADR-160: records the headline (0 stubs/0 theater, all real DSP -> claim-surface
honesty debt), the graded A1-A5 fixes, NO-ACTION positives, per-prefix
classification, and the DATA-GATED deferred backlog (criterion benches,
per-skill accuracy validation, wasm32 static_mut_refs CI confirmation).
- ADR-159: its deferred-backlog line "wasm-edge ... honestly labelled, not claimed"
is now actually TRUE.
Validation (all 0 failed, host --features std):
DEFAULT 615 | MEDICAL (+medical-experimental) 653 | NO-DEFAULT 615; 0 warnings.
Co-Authored-By: claude-flow <ruv@ruv.net>
The wasm-edge skill library runs real DSP with 0 stubs / 0 theater; the exposure
is an over-confident claim surface on unvalidated skills plus a latent static-mut
soundness issue. Make the labels TRUE (do not pretend to validate the capability)
and fix the soundness mechanically:
- A1 (HIGH): med_seizure/cardiac/respiratory/sleep_apnea/gait -- add mandatory
"EXPERIMENTAL / NOT VALIDATED AGAINST CLINICAL DATA / NOT A MEDICAL DEVICE"
disclaimers, soften assertive verbs to "flags candidate <X>-like signatures",
and gate all 5 behind a NON-default medical-experimental cargo feature so they
cannot be silently shipped. DSP kept.
- A2 (HIGH): exo_happiness_score/exo_emotion_detect -- delete the uncited
"~12% faster" stat, add "speculative, unvalidated affect heuristic; outputs are
NOT measurements of emotion" disclaimers, reframe HAPPINESS_SCORE as a
gait-energy proxy. Math kept.
- A3 (MEDIUM): sec_weapon_detect -- rename EVENT_WEAPON_ALERT ->
EVENT_HIGH_METAL_REFLECTIVITY and WEAPON_RATIO_THRESH -> HIGH_REFLECTIVITY_THRESH
(a variance ratio measures reflectivity, not weapons). Registry updated.
- A4 (MEDIUM): exo_dream_stage/exo_gesture_language -- add experimental
disclaimers, promote the Exotic/Research tag into the header.
- A5 (MEDIUM, soundness): replace ~61 `static mut EVENTS`/EV/TE/EMPTY per-call
scratch buffers (60 modules) with owned per-instance `events` fields returned as
`&self.events[..n]`. Public signature unchanged; behavior preserved. Only the
two legitimate single-threaded WASM module singletons (lib.rs STATE,
ghost_hunter DETECTOR) remain as static mut. Removes the static_mut_refs source.
NO-ACTION positives (cited, labels untouched): qnt_* (quantum-/Grover-inspired,
disclosed), exo_time_crystal, exo_ghost_hunter, sig_*/lrn_* algorithm-named skills.
Co-Authored-By: claude-flow <ruv@ruv.net>
Matter commissioning is deferred to v0.8 (TlsConfig::Off, LAN-only, per
tls_defaults_to_off_for_v1_lan_only). Soften the Cargo.toml description
from "Home Assistant + Matter integration" to "Home Assistant (MQTT)
integration ... Matter Bridge commissioning is deferred to v0.8 and not
yet implemented" (honest-absence, ADR-158 pattern). No code change.
Co-Authored-By: claude-flow <ruv@ruv.net>
RemoteIdBroadcast::update stored NED metres (state.position.x/.y) into
drone_lat/drone_lon, so the ASTM F3411 broadcast would carry physically
-impossible coordinates ("latitude = 37.5 m"). The module doc claimed a
Location/Vector message but only encode_basic_id() exists.
- Rename drone_lat/drone_lon -> drone_north_m/drone_east_m (NED metres
relative to the operator/takeoff datum), documented as non-geodetic.
operator_lat/lon stay true WGS84.
- Correct the module doc to claim Basic ID only; Location/Vector encoding
is deferred until a datum-anchored NED->WGS84 transform lands.
Never broadcast physically-impossible coordinates.
Failing-on-old test:
security::remote_id::tests::test_ned_offset_stored_as_metres_not_latlon.
Co-Authored-By: claude-flow <ruv@ruv.net>
cmd_manifest emitted a null skeleton (binary_sha256: null) while the
real signed manifest existed on disk at
cog/artifacts/manifests/<arch>/manifest.json.
- New manifest module include_str!-embeds the real signed manifests
(x86_64 + arm), selected by build target arch.
- cmd_manifest parses-then-emits the embedded signed manifest, mirroring
cog-pose-estimation manifest_roundtrips. CLI now reports the real
binary_sha256, weights_sha256, Ed25519 signature, and honest
build_metadata (training_class1_accuracy = 0.343).
Failing-on-old test:
manifest::tests::embedded_manifest_has_non_null_binary_sha256 (+
embedded_manifest_is_signed, embedded_manifest_id_matches_cog).
Verified end-to-end: cog-person-count manifest -> non-null sha256.
Co-Authored-By: claude-flow <ruv@ruv.net>
The count head has 8 classes but count_train_results.json only has
support for classes 0/1 (presence, not multi-occupant counting). An
argmax on classes 2..=7 is out-of-distribution, yet the cog emitted it
as a confident headcount and the crate billed itself a "multi-person
counter".
- Add MAX_TRAINED_CLASS=1, CountPrediction::is_low_confidence() and
clamped_count().
- person.count events now carry low_confidence + raw_count, downgrade to
level "warn" when OOD, and clamp the reported count to the trained
range (no fabricated headcount).
- run.started discloses count_max_trained_class / count_classes.
- Cargo.toml description: "multi-person counter" ->
"presence detector + (data-gated) person count".
Multi-occupant accuracy stays DATA-GATED (not fabricated).
Failing-on-old test: untrained_class_argmax_is_flagged_low_confidence.
Co-Authored-By: claude-flow <ruv@ruv.net>
pose_v1 has no confidence head, so infer() emits a constant 0.185 per
frame. The config default_min_confidence was 0.3 and the runtime gates
on confidence >= min_confidence, so a default install silently emitted
ZERO pose.frame events while health reported healthy.
- Add inference::MODEL_TYPICAL_CONFIDENCE (0.185, the validation PCK@50)
as the single published per-frame confidence.
- Pin default_min_confidence() to MODEL_TYPICAL_CONFIDENCE so a default
install clears its own gate and emits.
- Warn at run.started when min_confidence exceeds the model typical
confidence (disclosed, not silent); document the trade-off in the
config field, the JSON schema, and inference.rs.
Failing-on-old test: default_config_emits_frames_with_real_model
(with old 0.3 it panics: "default install would emit zero pose.frame
events").
Co-Authored-By: claude-flow <ruv@ruv.net>
An external audit correctly found the person-ID/Soul-Signature capability was
spec-only with a no-op oracle. The §3.6 matcher is now real (wifi-densepose-bfld)
but WiFi-only channels are MEASURED not-separable (cardiac+respiratory gap ~0.0005);
named identity is data-gated on enrollment with the decisive AETHER/body-resonance
channel. README now frames person re-id as experimental research, not a shipped feature.
Co-Authored-By: claude-flow <ruv@ruv.net>
The semantic recognizer built a ruvector-core VectorDB at ":memory:"; under
full-workspace feature unification the file-storage backend is enabled and
":memory:" is an invalid Windows filename (os error 123), panicking via
.expect(). Replace the external index with an exact in-memory cosine k-NN over
the enrolled exemplars (embeddings are L2-normalised, so cosine = dot product).
For HOMECORE's small intent vocabularies this is faster, fully deterministic,
and removes the storage backend + cross-crate feature coupling entirely.
ruvector-core dropped from the crate (only used here). Workspace 3122 passed/0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
hardware_adapter read_esp32_csi/read_udp_csi/read_pcap_csi returned 'not yet
implemented'. Wired them to the real CsiParser/PcapCsiReader that already live in
csi_receiver:
- UDP: bind + recv + parse (auto-detect) -> CsiReadings. End-to-end test sends a
real JSON datagram on the wire and parses it.
- PCAP: load + read_next + parse. End-to-end test writes a real little-endian
.pcap with one record and reads it back.
- ESP32: parse CSI_DATA CSV via the real parser; live serial byte I/O behind an
optional feature (native serialport gated off the default/appliance
build) — without it, live reads return a typed UnsupportedAdapter while the
byte parser still works (tested).
Intel5300/Atheros/PicoScenes now return typed HardwareUnavailable/UnsupportedAdapter
(no device/driver/validatable-format here) instead of fake CSI — added
AdapterError::HardwareUnavailable and ::UnsupportedAdapter. Test asserts the gated
adapters error honestly.
Co-Authored-By: claude-flow <ruv@ruv.net>
estimate_gdop returned an average-pair-angle factor merely labelled GDOP (the same
class of defect ADR-156 §2.3 fixed). Replaced with the genuine Geometric Dilution
of Precision computed from the range-measurement Jacobian H (unit target->sensor
bearings): GDOP = sqrt(trace((HtH)^-1)), dimensionless, returning None for singular
(collinear) geometry which the caller treats as factor 1.0. Tests assert a
well-spread array yields lower GDOP than a near-collinear one, cross-check the
closed form, and confirm singular geometry returns None.
Co-Authored-By: claude-flow <ruv@ruv.net>
The comment claimed interpolation but the function returned the bin center,
capping breathing-rate resolution at +/-half a bin. Implemented quadratic
(3-point parabolic) peak interpolation: delta = 0.5*(yL-yR)/(yL-2y0+yR), clamped
to [-0.5,0.5], with an edge fallback to bin center. For a parabola-shaped peak the
recovery is exact (delta=0.4 for a true peak at bin 10.4). Test asserts the result
lands within half a bin of truth and strictly beats the old bin-center estimate.
Co-Authored-By: claude-flow <ruv@ruv.net>
simulate_rssi_measurements always returned vec![], so every survivor got
location: None, which disabled spatial dedup — one person re-detected across N
scan cycles became N survivors, fabricating a mass-casualty event. Two fixes:
1. Real RSSI source: SensorPosition gains an optional last_rssi (populated by the
hardware layer from actual signal-strength readings). collect_rssi_measurements
reads only real per-sensor RSSI and feeds the existing triangulator; it NEVER
fabricates a value. <min_sensors real readings -> None location (honest).
2. Zone + vitals-signature dedup: when no usable location exists, record_detection
matches an existing active, un-located survivor in the same zone whose latest
vital signature (breathing presence + START rate band, heartbeat presence,
movement class) is compatible — collapsing repeat detections of one person while
keeping genuinely distinct survivors (different rate bands) separate.
Tests (fail on old code): 3x identical-vitals/None-location -> 1 survivor (was 3);
distinct vitals stay 2; real-RSSI path yields a position; no-RSSI path yields None.
Co-Authored-By: claude-flow <ruv@ruv.net>
The ensemble gate (EnsembleClassifier::determine_triage) and the survivor
record (Survivor::new -> TriageCalculator::calculate) used two different
START-protocol approximations with different rate bands and movement handling.
The pipeline gated on the ensemble triage then discarded it and recomputed via
TriageCalculator, so a survivor could be admitted as one priority and recorded
as another (e.g. 28 bpm + Tremor: gate said Delayed, record said Immediate).
In a mass-casualty tool that divergence is a life-safety defect.
determine_triage now delegates to TriageCalculator (the single source of truth),
retaining only the ensemble confidence gate (low confidence -> Unknown, except
Immediate which is never suppressed). Updated unit + integration tests to the
canonical expectations and added a divergent-boundary regression asserting
gate triage == survivor-record triage.
Co-Authored-By: claude-flow <ruv@ruv.net>
Realistic depth backprojection is dense (many points per 8 cm voxel). Sweep
points-per-cell {4,16,64,256} at n=50k instead of point-count, so the
measurement reflects where the 9-pass→2-pass reduction actually applies.
Parity guard (old≡new, bit-for-bit) holds at every density.
Co-Authored-By: claude-flow <ruv@ruv.net>
Replace the `Tensor::randn` stubs in occworld-candle's VQVAE encoder
(`encode_occupancy`) and decoder (`decode_to_logits`) with a real,
deterministic, input-dependent convolutional forward pass. Previously
`predict()` emitted trajectory waypoints + confidence that were a function
of RANDOM NOISE, independent of the input and silently presented as model
output — the exact "AI slop" the project must eliminate.
occworld-candle:
- New `cnn.rs`: `Encoder2D` (3× Conv2d + GELU, interpolate2d to pin the
token grid) and `Decoder2D` (upsample_nearest2d + Conv2d + 1×1 head).
Both are deterministic functions of the input — same input → identical
output; different input → different output. No randn in any forward path.
- Deterministic weight init (`det_fill`, seeded xorshift64*) across all
`dummy()` constructors (encoder/decoder, VQ codebook, quant-convs,
transformer), so untrained engines are bit-for-bit reproducible.
- `InferenceOutput.weights_trained: bool` — honest disclosure flag. `false`
for `dummy()` (real but untrained net), `true` only after `load()` reads a
real checkpoint. Priors are always from the real forward pass, never faked.
- VQ codebook + quant/post-quant convs kept and wired encoder→VQ→decoder.
- Centerpiece tests in `tests/predict_honesty.rs` (input-dependence,
run-to-run + cross-engine determinism, untrained flag). All three FAIL on
the old randn stub (verified by temporarily reinstating randn).
pointcloud:
- Optimize `to_gaussian_splats` hot path: 9 separate `.iter().sum()` passes
per voxel → 2 fused accumulation passes. Bit-identical output.
- `benches/splats_bench.rs` (criterion) measures old 9-pass vs new 2-pass
with a parity guard. ~1.3× faster on representative cloud sizes.
- Confirmed: no `randn`/placeholder in any claimed production path. The
remaining synthetic generators (`send_test_frames`, `demo_depth_cloud`)
and honestly-flagged heuristics (`heuristic_pose_from_amplitude`,
luminance pseudo-depth fallback) are explicitly disclosed, not faked output.
DATA-GATED: a trained checkpoint. An untrained-but-real net is the honest
deliverable; accuracy is flagged via `weights_trained`, never claimed.
Tests: occworld 16 unit + 3 integration + 2 doc, pointcloud 18 — all pass
(CPU `Device::Cpu`; CUDA feature is GPU-gated and untouched).
Co-Authored-By: claude-flow <ruv@ruv.net>
Implements the three placeholder paths with real, tested behaviour and an
honest typed result wherever a capability is genuinely data-gated.
homecore-assist:
- runner.rs: add LocalRunner — runs the real IntentRecognizer pipeline and
returns a fully-formed RufloResponse (resolved intent + speech). NoopRunner
is now honest: typed NotStarted before spawn, explicit empty after (never a
silent fabricated response). A live ruflo-agent.js subprocess remains the
data-gated future path.
- recognizer.rs / semantic_recognizer.rs: real SemanticIntentRecognizer — embeds
the utterance (deterministic feature-hash embedding, new embedding.rs) and runs
ruvector-core HNSW nearest-neighbour search over enrolled exemplars, accepting
matches above a configurable cosine-similarity threshold (default 0.75) and
falling back to regex below it. Measured: paraphrase "turn on the kitchen
light" vs exemplar "turn on the light" -> sim 0.855 (match); "schedule a
dentist appointment" -> sim 0.106 (no-match). `semantic` feature on by default.
homecore-recorder:
- db.rs: search_states_by_text — real SQL LIKE query over entity_id/state/attrs
returning real rows (newest-first, k-capped, LIKE-escaped). search_semantic now
falls back to it when the vector index yields no hits, so it is no longer
always-empty under the default NullSemanticIndex.
Tests (real behaviour; each fails on the old always-empty stub, verified):
- homecore-assist: 39 passed / 0 failed
- homecore-recorder (P1, no features): 19 passed / 0 failed
- homecore-recorder (P2, --features ruvector): 25 passed / 0 failed
All files < 500 lines; homecore-server consumer still builds.
Co-Authored-By: claude-flow <ruv@ruv.net>
wifiscan (Tier 2 wlanapi adapter ONLY):
- Real native wlanapi.dll BSS-list FFI (new adapter/wlanapi_native.rs):
WlanOpenHandle -> WlanEnumInterfaces -> WlanGetNetworkBssList ->
WlanFreeMemory/WlanCloseHandle via windows-sys 0.59 (already in lock
tree). Per-BSSID RSSI(dBm)/channel/band/radio-type/SSID + CSI-capable
filter. #[cfg(windows)] real path; #[cfg(not(windows))] returns typed
WifiScanError::Unsupported (honest, never fabricated).
- wlanapi_scanner now native-first with documented netsh fallback,
native_scans metric, scan_native()/scan_native_csi_capable(), and a
benchmark() that MEASURES real Hz (no hardcoded "10x" claim).
- MEASURED 9.74 Hz native on ruvzen (30 iters, Native backend) vs netsh
~2 Hz baseline. Live measurement kept as an #[ignore] test.
- Cargo.toml: unsafe_code forbid->deny so only the audited wlan_ffi
module opts into unsafe; all unsafe confined + null-checked + freed.
sensing-server (Matter commissioning):
- Replaced the lossy modulo placeholder in matter/commissioning.rs with
the real Matter Core Spec 1.3 §5.1.4.1.1 field-packing. Canonical
vector (20202021, 3840) now encodes to the published 34970112332.
- Added ManualPairingCode::decode + DecodedManualCode proving the code
is real/lossless (passcode round-trips bit-for-bit; short
discriminator = top 4 bits) with Verhoeff integrity, incl. proptest.
Tests: wifi-densepose-wifiscan 145 passed (real FFI exercised on
Windows); wifi-densepose-sensing-server 614 passed. 0 failed.
Co-Authored-By: claude-flow <ruv@ruv.net>
Update specification.md §3.6 ONLY with an honest implementation-status note:
the matching algorithm is now implemented and tested in
v2/crates/wifi-densepose-bfld/, weights remain unvalidated design intent, and
named-identity locking is data-gated (cardiac+respiratory alone are not
separable — measured gap ~0.0005). The broader Soul Signature system remains
Pre-Implementation.
Co-Authored-By: claude-flow <ruv@ruv.net>
First running implementation of the spec's §3.6 per-channel weighted-cosine
matcher (docs/research/soul/specification.md). Replaces reliance on NullOracle
(which always returns NotEnrolled) with a real EnrolledMatcher oracle.
- soul_channels.rs: 8-channel SoulChannels container (AETHER reuses
IdentityEmbedding, preserving invariant I2 — no Clone/Serialize, zeroized on
Drop), MatchWeights with the §3.6 default table (unvalidated design intent),
heapless FeatureVector. no_std-compatible.
- soul_match.rs: match_score() implementing the exact formula
Σ w·cos / Σ w·availability, with graceful degradation, zero-norm/NaN safety,
and a typed 'insufficient channels' result (never a default-high score).
EnrolledMatcher (std) satisfies the existing SoulMatchOracle trait, gated on
a score threshold AND a minimum shared-channel count (so a single low-weight
channel can never lock identity). NullOracle retained as the disabled default.
Named-identity locking remains data-gated: it requires real AETHER enrollment +
body-resonance data, which has not been provided.
Co-Authored-By: claude-flow <ruv@ruv.net>
Documents Milestone 3 across the four acquisition crates (vitals, hardware,
wifiscan, calibration). Honest headline: this layer was already well-hardened,
so the real work is small.
- §A1 (perf, MEASURED): Vec::remove(0) O(n^2) sliding windows -> VecDeque.
End-to-end win is NULL within noise at realistic window sizes (DSP dominates);
the win is the algorithmic O(n^2)->O(n) shown in isolation. Claimed nothing
more -- the committed bench proves the null.
- §A2 (correctness): breathing partial-weights scale-mixing -> normalized by
Sigma(effective weights). Pinned by two fail-on-old tests.
- §A3 (stability): IIR resonator divergence. Corrected the research report's
physically-inaccurate trigger (divergence needs |r|>=1, i.e. bw>=4, not "r
negative"); clamp + finite-guard. Pinned by two fail-on-old tests.
- §B1 hardening on an unreachable (already-gated) truncation path -- disclosed.
- §B4 (constant-time HMAC compare) DEFERRED: not worth a new direct `subtle`
dependency for an 8-byte LAN sync-beacon tag.
- MEASURED negative-results section (the centerpiece): esp32_parser length gate,
sync_packet infallible slices, the whole ieee80211bf validate-on-deserialize /
no-panic-FSM / single-role / SBP-single-evaluate model, secure_tdm HMAC+replay,
netsh_scanner fixed-argv + Option parse, geometry_embedding MAX_COORD_M -- each
cited file:line, all NO-ACTION.
- SOTA landscape: deep-CSI vitals (DATA-GATED), 802.11bf conformance (CLAIMED,
non-public suite), per-room calibration (CLAIMED on numbers), native wlanapi
FFI multi-BSSID (CLAIMED-unmeasured -- explicitly NOT claiming the 10x). Mostly
NO-ACTION / ACCEPTED-FUTURE.
- Deferred backlog (§8): nothing silently dropped.
Validation: cargo test --workspace --no-default-features = 3054 passed / 0
failed; python verify.py = VERDICT PASS (hash unchanged, Rust-only changes).
Co-Authored-By: claude-flow <ruv@ruv.net>
OpportunisticCsiBridge::ingest built CsiReportPayload.n_subcarriers via
`self.amp_accum.len() as u16`, which would silently wrap a count above 65_535.
Replace with `u16::try_from(...).ok()?` (drop-instead-of-truncate). Disclosed
honestly as defense-in-depth on an UNREACHABLE path: ingest already gates
subcarrier_count > MAX_REPORT_SUBCARRIERS (484) at entry and report.validate()
rejects oversized counts downstream, so the cast can never wrap in practice.
Correct-by-construction rather than gate-dependent; no behavior change, no new
test (the gate prevents the input that would exercise it).
Co-Authored-By: claude-flow <ruv@ruv.net>
§A2 (correctness): BreathingExtractor weighted fusion was an un-normalized sum.
When `weights` was supplied shorter than n, supplied entries were used raw while
the missing tail defaulted to uniform 1/n -- two scales summed with no
renormalization, silently mis-scaling the breathing signal by a factor of
weights.len(). Extract to fuse_weighted_residuals() and normalize by
Sigma(effective weights), mirroring heartrate::compute_phase_coherence_signal.
Tests: partial_weights_are_renormalized_not_scale_mixed,
partial_weights_fusion_is_weighted_average (both fail on old code).
§A3 (stability): the IIR resonator pole radius r = 1 - bw/2 diverges when the
pole MAGNITUDE |r| >= 1 (i.e. bw >= 4: a very low fs relative to band width) --
NOT merely when r is negative, as the research report stated (a negative r with
|r| < 1 is still stable; the comments/tests are corrected accordingly). On
divergence the filter overflows to +/-inf within ~600 frames, NaN-poisons acf0,
and the extractor stalls permanently. Clamp r to [0, 0.9999] AND finite-guard
the filter output before the history push (defense-in-depth, mirrors ADR-154 §3).
Applied to both heartrate.rs and breathing.rs. Tests:
{heartrate,breathing}::low_sample_rate_filter_stays_finite (fs=0.5, 0.1-0.9 Hz
band, 600-frame unit step -> all-finite; both panic on old code).
These files also carry the §A1 VecDeque window conversion (bit-identical).
Co-Authored-By: claude-flow <ruv@ruv.net>
Replace Vec::remove(0) (O(n) per-sample buffer shift -> O(n^2) full-window
sweep) with VecDeque push_back/pop_front (O(1) eviction) in the fixed-length
sliding/ring buffers of the vital-sign and wifiscan extractors. Where the
autocorrelation / zero-crossing / Pearson loop needs a contiguous slice,
make_contiguous() is called once per extract(), matching the idiom already used
in wifiscan/pipeline/orchestrator.rs. Output is bit-identical.
Sites: anomaly.rs (rr/hr history), store.rs (readings ring; history() now takes
&mut self to hand back a contiguous slice, no external callers), wifiscan
breathing_extractor.rs (filtered history), wifiscan correlator.rs (per-BSSID
histories -> Vec<VecDeque<f32>>). (heartrate.rs/breathing.rs windows land with
the §A2/§A3 fixes in a separate commit.)
New criterion bench crates/wifi-densepose-vitals/benches/vitals_bench.rs drives
each extractor over a full-window fill. Honest MEASURED result: end-to-end win
is NULL within noise at realistic ESP32 window sizes (1500-3000) because the
per-frame DSP dominates the eviction (heartrate 42.8ms->44.4ms, breathing
7.95ms->7.86ms, overlapping CIs). In isolation the eviction collapses O(n^2)
-> O(n) (34.6x at window=3000, 3158x at window=100000); A1 lands as the correct
data structure removing a latent O(n^2), NOT a claimed hot-path speedup.
Reproduce: cargo bench -p wifi-densepose-vitals --bench vitals_bench
Co-Authored-By: claude-flow <ruv@ruv.net>
MultistaticArray::fuse / fuse_ungated cloned every viewpoint embedding twice per
fusion (once into `extracted`, again when building the attention input). Now the
embeddings are MOVED out of `extracted` (one clone per viewpoint instead of two),
capturing geometry/ids by Copy in the same pass. Correctness-neutral — all 100
viewpoint/mat lib tests pass unchanged.
MEASURED (new benches/fusion_bench.rs, embedding_extract A/B, 8 vp x 128-d):
before_double_clone 1.0029 us -> after_single_clone 461.6 ns (~2.17x)
End-to-end fusion_pipeline (8 vp): 202 us — marshalling is <1% of fusion
(n*n attention dominates), so end-to-end win is modest; the A/B isolates the
clone elimination. Reproduce:
cargo bench -p wifi-densepose-ruvector --bench fusion_bench
Co-Authored-By: claude-flow <ruv@ruv.net>
Security fix: two functions on a fusion/localisation path that can carry
network-sourced multistatic frames panicked on crafted input (remote DoS).
- triangulation::solve_triangulation indexed ap_positions[0] (empty table) and
ap_positions[i]/[j] (crafted out-of-range AP index in a TDoA tuple). Now uses
.first()? / .get(i)? / .get(j)? — returns None, never panics.
- heartbeat::band_power computed n_freq_bins-1 (usize underflow on a zero-bin
spectrogram) and did not clamp low_bin. Now guards n_freq_bins==0 and clamps
both bounds into [0,last]; returns 0.0 for empty/inverted ranges.
Tests (each panics on old code, verified by revert):
triangulation_out_of_range_index_returns_none_no_panic,
triangulation_empty_ap_positions_returns_none_no_panic,
heartbeat_band_power_zero_bins_no_panic,
heartbeat_band_power_out_of_range_bounds_no_panic.
Co-Authored-By: claude-flow <ruv@ruv.net>
Two correctness/integrity fixes on the cross-viewpoint fusion geometry path,
each pinned by a regression test that fails on the old code.
- GDOP mislabel (§2.3): CramerRaoBound.gdop was `sqrt(crb_x+crb_y)` — identical
to rmse_lower_bound (metres, noise-dependent), NOT a dimensionless GDOP. Now
computes true GDOP = sqrt(trace(G^-1)) on the unit-variance bearing geometry,
in both estimate() and estimate_regularised(); INFINITY (not NaN) for
degenerate collinear geometry. Test gdop_is_dimensionless_and_noise_independent
asserts GDOP is unchanged under 10x noise while RMSE scales 10x (old code
failed: it scaled with noise, proving it was RMSE).
- Angular wrap (§2.1): GeometricBias::build_matrix used raw |delta-azimuth|
(can exceed pi, mis-states the 0/2pi seam) instead of the wrapped distance.
angular_distance made pub and reused as the single canonical helper. HONEST:
under the current cos() kernel this is a NUMERIC NO-OP (cos is even/periodic,
cos(raw)==cos(wrapped)); landed for contract correctness + single-source-of-
truth + future non-even kernels, not as a behaviour change. Tests pin the
contract (wrapped value in [0,pi], seam symmetry).
ruvector lib tests: 100 passed / 0 failed (+ new tests).
Co-Authored-By: claude-flow <ruv@ruv.net>
Records the integrity-critical fixes (unified canonical metric, leak-free
subject-disjoint split + synthetic-val disclosure, rapid_adapt real gradients,
proof margin + committed-hash rigor), the Tier-2 correctness/security fixes, the
measured Tier-3 perf win, the NN SOTA landscape graded MEASURED/CLAIMED/
THEORETICAL (GraphPose-Fi as top ACCEPTED-future candidate; INT4; CSI-JEPA-vs-MAE
with the honest "no JEPA/MAE-on-WiFi-pose yet" caveat; "Mamba-CSI-pose does not
exist"), and the ~45-finding deferred backlog. Discloses the libtorch/tch-gating
limitation and that the Rust proof is honestly in SKIP until a baseline is
committed.
Co-Authored-By: claude-flow <ruv@ruv.net>
- onnx.rs ORT input: arr.as_slice() single-memcpy fast path with iterator
fallback for strided views. MEASURED [1,256,64,64]: 1.972ms -> 1.336ms
(~1.48x). Repro: cargo bench -p wifi-densepose-nn --no-default-features
--features onnx --bench onnx_bench -- onnx_input_copy
- onnx.rs checked_output_dims: reject ONNX dim <= 0 (incl. unresolved -1) before
allocation (config-OOM class) + test.
- onnx_concurrency bench: empirically proves the per-inference write lock
serializes (throughput drops with more threads). The intended read-lock win is
NOT landable on ort 2.0.0-rc.11 (safe Session::run is &mut self, verified) and
is deferred to the backlog with the upgrade path documented in-code.
New committed fixture tests/fixtures/tiny_conv.onnx (666 B, not gitignored).
Co-Authored-By: claude-flow <ruv@ruv.net>
Each fix ships a test that would have caught the bug:
- ruview_metrics OKS: derive scale from GT extent (no s=1.0 fake-Gold), reject
s<=0, bound the loop to array extents (no panic on short/adversarial input).
- config.validate(): UPPER bounds on window_frames/subcarriers/backbone_channels/
heatmap_size/keypoints/body_parts/batch_size + reject negative gpu_device_id
(closes the config-OOM class); defaults+presets still validate.
- subcarrier.rs: graceful fallback instead of panic on non-contiguous input.
- ablation.rs latency_percentiles: total_cmp + NaN guard (no partial_cmp unwrap).
- tensor.rs softmax(axis): normalize per-lane along the given axis (was whole-
tensor), out-of-range axis -> NnError; fixes densepose per-pixel probs.
- translator.rs apply_attention: real scaled-dot-product attention (was a
uniform 1/seq_len stub that made any "with attention" ablation == without);
mis-shaped checkpoint projections rejected.
Co-Authored-By: claude-flow <ruv@ruv.net>
The deterministic proof self-certified: PASS on any loss decrease (incl. 1e-9
noise) and a missing expected hash defaulted to PASS.
- MIN_LOSS_DECREASE=1e-4: a run counts as learning only above float noise; a
noise-only pipeline now FAILS.
- is_pass() requires hash_matches==Some(true); no-hash -> SKIP (exit 2), never
PASS. verify-training fails fast on a sub-margin loss before the hash compare,
so a missing baseline cannot mask a non-learning pipeline.
Documented honestly: the proof certifies reproducibility/determinism on a
synthetic dataset, NOT that real data produced the weights nor that any accuracy
claim is met. Tests: no_committed_hash_is_skip_not_pass,
submargin_loss_change_fails_even_without_hash,
committed_matching_hash_with_real_decrease_passes.
Co-Authored-By: claude-flow <ruv@ruv.net>
contrastive_step/entropy_step wrote a fake gradient (grad += v*0.01) unrelated
to the stated objective, so any "TTA improves the metric" was unsupported. The
*_loss functions are now pure evaluators of the real objective; adapt() descends
them with a central finite-difference gradient of that exact loss, so "the
adaptation loss decreases" is now a real, reproducible measurement.
Honest scope caveat (documented): this minimizes a self-supervised proxy over a
LoRA bottleneck on raw CSI; it is NOT wired to the pose model and there is NO
measured end-to-end PCK gain on WiFi pose from this path.
Tests: contrastive_loss_decreases, entropy_loss_decreases (real gradient steps
don't increase the loss), reported_loss_is_the_real_objective_not_a_placeholder.
Co-Authored-By: claude-flow <ruv@ruv.net>
MM-Fi windows are stride-1 (~99% overlap), so an index-level split leaks; and
bin/train.rs validated real training against a SYNTHETIC val set, making any
printed PCK meaningless on two counts.
- MmFiDataset::subject_disjoint_split partitions whole subjects -> the two views
share no subject and no window (leak-free by construction, deterministic per
seed). assert_split_leak_free verifies subject- AND window-disjointness and is
called inside the split so a leaky split is never handed out.
- bin/train.rs now prefers the real split; the synthetic path is a labelled
run_smoke_test ("[SMOKE-TEST] DO NOT REPORT") reachable only as a fallback.
- New DatasetError::InvalidSplit.
Tests prove disjointness, determinism, single-subject/bad-fraction rejection,
and that the validator catches an injected subject leak.
Co-Authored-By: claude-flow <ruv@ruv.net>
Collapse the four PCK and three OKS implementations into a single source of
truth — pck_canonical (torso hip↔hip, COCO/ADR-152 convention validated at
~96% PCK@20 in benchmarks/wiflow-std) and oks_canonical (scale from GT pose
extent). MetricsAccumulator, compute_pck/_per_joint/_oks, aggregate_metrics and
the deprecated *_v2 path all route through them, so Trainer::evaluate() and the
bench definition agree.
Fixes two claim-inflating bugs, each pinned by a regression test:
- zero-visible-joint PCK was 1.0 (false-perfect) -> now 0.0
- OKS s=1.0 on normalized coords made OKS~=1.0 for any pose ("fake Gold tier")
-> scale now derived from the pose; a 3x-torso-wrong pose yields OKS<0.2
Divergent local kernels (training_bench raw-threshold, sensing-server
torso-height) annotated "DO NOT USE for reported metrics". Legitimately changed
test expectations (all-coincident "perfect" fixtures are correctly unscoreable;
all-invisible -> 0.0) updated with comments citing the finding.
Co-Authored-By: claude-flow <ruv@ruv.net>
Records Milestone-0 of the signal/DSP beyond-SOTA sweep with full PROOF
discipline (MEASURED vs CLAIMED vs THEORETICAL grading throughout):
- §2 discloses the headline anti-slop finding: the ADR-134 CIR coherence gate
was DEAD in production (canonical-56 frames -> SubcarrierMismatch -> silent
freq-domain fallback for every frame). Documents the canonical56() fix + the
4 committed proof tests.
- §3 NaN/inf adversarial bypass; §4 divide-by-(n-1) window trio.
- §5 the two MEASURED perf wins with before/after medians + reproduce commands.
- §6 per-module SOTA landscape, evidence-graded: deep-unfolded ISTA/LISTA for
CSI->CIR (~3 dB NMSE, MEASURED, arXiv 2211.15440 + 2502.05952), diffusion CIR
prior (public weights, MEASURED), Wi-Spoof adversarial eval (MEASURED, arXiv
2511.20456), Bayesian multi-AP fusion (CLAIMED, no code, 2512.02462),
coherence gating + RF intention-lead (THEORETICAL).
- §7 roadmap: LISTA-for-CIR as the top ACCEPTED-future item (M effort; the ISTA
+ Phi already exist in cir.rs) — proposed, NOT implemented this milestone —
plus the explicit deferred-findings backlog (the ~45 review findings not
fixed here, graded P1/P2/P3) so nothing is silently dropped, with a
horizon-ledger DONE-vs-DEFERRED one-liner.
Co-Authored-By: claude-flow <ruv@ruv.net>
Two measured, bit-equivalent perf wins. Each ships a criterion bench
(benches/features_bench.rs, new) with before/after numbers and a committed
bit-identity test — no perf claim without a measured before/after.
PSD FFT-planner caching (features.rs)
PowerSpectralDensity::from_csi_data re-planned a FftPlanner on EVERY frame,
and FeatureExtractor::extract calls it per frame on the hot path. New
from_csi_data_with_fft(csi, n, &Arc<dyn Fft>) reuses a plan cached in
FeatureExtractor (built once in new()). Bit-identical output
(psd_cached_fft_bit_identical_to_fresh, f64::to_bits over 6 sizes).
MEASURED (median ns/frame, criterion):
fft=64 5.84µs -> 1.89µs (3.09x)
fft=128 9.31µs -> 3.61µs (2.58x)
fft=256 13.77µs -> 6.73µs (2.04x)
DTW Sakoe-Chiba band (gesture.rs)
dtw_distance computed j_start/j_end but iterated the FULL 1..=m row,
continue-ing out-of-band — band constrained the path, not the work (O(n*m)).
Now iterates j_start..=j_end (O(n*band)), resetting only the two boundary
guard cells the recurrence reads, with endpoint reachability (|n-m|<=band)
at the return. Bit-identical across 12 shapes x 8 bands
(dtw_banded_bit_identical_to_fullrow).
MEASURED (median, criterion):
n=m=100 band=5 33.45µs -> 13.77µs (2.43x)
n=m=200 band=5 122.32µs -> 29.55µs (4.14x)
n=m=200 band=10 159.98µs -> 60.19µs (2.66x)
Reproduce:
cd v2 && cargo bench -p wifi-densepose-signal --no-default-features \
--bench features_bench
Co-Authored-By: claude-flow <ruv@ruv.net>
Milestone-0 correctness/security fixes for the beyond-SOTA signal/DSP sweep.
Every fix ships with a committed regression test (proof, not adjectives).
CRITICAL — ADR-134 CIR coherence gate was DEAD in production
MultistaticFuser fuses canonical-56 frames (hardware_norm.rs resamples every
chipset onto a 56-tone grid), but the gate was wired to CirConfig::ht20()
which expects 64/52. Every estimate() returned SubcarrierMismatch and
cir_gate_coherence silently fell back to freq-domain coherence — use_cir_gate
was indistinguishable from false. Fixes:
- new CirConfig::canonical56() (64-bin HT20 framing, 56 active tones, 168 taps)
- new MultistaticFuser::with_cir_canonical56() (correct default); ht20 kept,
now doc-warned
- active_indices() handles (64,56) + length-matched fallback (no silent
fall-through to the 52-index slice)
- SubcarrierMismatch in the gate now debug_assert!s loudly (config error can
no longer hide as a graceful degrade)
- cir_estimate_first() exposes the Ok/Err verdict for tests
PROOF (ruvsense::multistatic::tests): ht20 → 8/8 Err (dead); canonical56 →
8/8 Ok (alive); coherence(gate on) != coherence(gate off).
CRITICAL — adversarial.rs NaN/inf detector bypass
One non-finite link energy bypassed the whole detector (every `e>thresh`
false on NaN; score clamp returns NaN). A non-finite input is itself the
strongest spoof — now short-circuits to a definite anomaly (score 1.0,
affected link reported) and does not poison the temporal-continuity state.
PROOF: nan_link_energy_flags_anomaly, inf_link_energy_flags_anomaly.
CORRECTNESS — divide-by-(n-1) window trio
csi_processor hamming_window (n=0 usize underflow, n=1 div0), bvp Hann,
spectrogram make_window all guarded for n<=1 (empty / constant-1.0 window).
Python deterministic proof still PASS, same pipeline hash (reference uses n>=2).
PROOF: *_degenerate_sizes / *_size_one_is_finite / make_window_size_0_and_1.
CLARITY — calibration.rs subtract_in_place
Removed the vacuous `if active_input {ki} else {ki}` branch that implied a
full-FFT->bin remap that never existed; documented the sequential
active-index convention (matches sibling extract_first_stream). No behavior
change.
Tests: cargo test -p wifi-densepose-signal --no-default-features (+--features cir)
green; full workspace green; verify.py VERDICT: PASS.
Co-Authored-By: claude-flow <ruv@ruv.net>
The 12-crate brain-topology analysis ecosystem (v2/crates/ruv-neural) was a
self-contained nested workspace with no inbound deps from the v2 workspace
(verified: zero path references outside its own tree). Published standalone
at github.com/ruvnet/ruv-neural and re-attached here as a submodule at the
same path, so the build layout is unchanged while the project gets its own
repo/CI/release cadence.
* docs(research): add RuView beyond-SOTA system review (00)
First document of the beyond-SOTA research series: capability audit of
the current RuView engine with role-to-crate maturity matrix, ruvsense
module inventory, gap analysis, and risk register.
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* docs(research): add beyond-SOTA architecture design (02, in progress)
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* docs(research): finalize beyond-SOTA architecture (02)
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* docs(research): add benchmark/validation methodology snapshot (03)
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* docs(research): add beyond-SOTA series index with validation results; changelog
README index ties the 5 research docs together with the session's
measured validation evidence: 2,797 workspace tests / 0 failed, Python
proof PASS (bit-exact), and paired pre/post criterion CIR benchmarks.
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* perf(signal): precompute CIR warm-start system; hoist tomography solver allocs
Exact, determinism-safe optimizations (bit-identical float results):
- cir.rs: diag(PhiH Phi)+lambda*I and its CSR matrix depend only on Phi
and lambda (fixed at CirEstimator::new) but were rebuilt every frame
(O(K*G) pass + CSR allocation). Now built once in new() via
build_warm_start_system; summation order unchanged.
- tomography.rs: ISTA gradient buffer hoisted out of the 100-iteration
loop (fill(0.0) reset) and the Frobenius Lipschitz bound moved from
per-reconstruct to construction.
Verified: signal 456 tests green; engine 11/11 green including
cycle_is_deterministic and witness-stability tests. Criterion paired
pre/post: cir_estimate/he40 -3.9% (p<0.01), multiband -1.2/-1.4%.
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* fix(worldgraph): bound SemanticState growth with deterministic retention
StreamingEngine::process_cycle appended one SemanticState belief per cycle
with no eviction — ~1.7M nodes/day at 20 Hz (beyond-SOTA roadmap finding #6).
Add WorldGraph::prune_semantic_states(max): deterministic eviction of the
oldest beliefs by (valid_from_unix_ms, id); structural nodes (rooms, zones,
sensors, anchors, tracks, events) are never eligible. Wire it into the
engine after each belief append (DEFAULT_SEMANTIC_RETENTION = 7,200, ~6 min
at 20 Hz; set_semantic_retention to tune). The WorldGraph holds current
beliefs; durable history is the recorder's job, so no audit data is lost.
3 new tests: end-to-end bounded growth, oldest-only eviction, deterministic
equal-timestamp tie-break. Workspace gate: 2,865 passed, 0 failed.
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* feat(sensing-server): route live frames through the governed StreamingEngine
Closes the live-trust-path gap (ADR-136 section 8, beyond-SOTA system review):
the running server fused live CSI with the bare MultistaticFuser, while the
privacy/provenance/witness control plane (ADR-135..146) only ever ran on
synthetic in-test frames. The privacy control plane was therefore bypassable
on the real path.
New engine_bridge module drives StreamingEngine::process_cycle from the
server's live NodeState map, reusing the existing NodeState -> MultiBandCsiFrame
conversion. It lazily wires each contributing node as a WorldGraph sensor
(idempotent), bounds belief growth via the retention cap, and forwards explicit
timestamps/calibration ids so the path stays deterministic and replayable.
Wired additively into both live ESP32/WiFi fusion sites in main.rs via a
split-borrow off the write guard, so person-count behavior is unchanged; the
latest BLAKE3 witness is stored on AppState. Every published belief now carries
evidence + model + calibration + privacy decision and a deterministic witness.
Adds wifi-densepose-engine/-worldgraph/-bfld/-geo deps. 6 new bridge tests
(witnessed belief with full provenance, cross-run determinism, idempotent node
registration, retention bound, privacy-mode propagation). sensing-server suite
430+128 green; workspace gate 2,904 passed / 0 failed.
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* feat(train): falsifiable occupancy benchmark with anti-overfitting gate
Makes the presence/person-count "beyond SOTA" claim falsifiable in code
instead of aspirational (the unfalsifiability gap from the beyond-SOTA system
review). occupancy_bench grades predictions vs ground truth and gates a SOTA
claim behind one claim_allowed invariant requiring ALL of:
- DataProvenance::Measured — synthetic/mock data is scorable for regression
but never claimable (anti-mock-contamination; the CLAUDE.md Kconfig-bug
lesson made structural).
- A leak-free EvalSplit — validate() refuses any split where a subject OR
environment id appears in both train and test (subject leakage /
per-environment overfitting).
- n_test >= min_test_samples (small-N guard).
- Presence F1 whose bootstrap-CI lower bound (deterministic seeded splitmix64)
clears the threshold — not the point estimate.
- Count MAE within threshold.
The claim string is unreadable except through the gate (NO_CLAIM otherwise),
same discipline as the ruview-gamma acceptance gate. What remains is data, not
method: a frozen, SHA-pinned, subject/environment-disjoint measured replay set
turns the claim into a passing/failing test.
Lives in wifi-densepose-train (the eval bounded context, alongside ablation/
eval/metrics). 10 tests cover each refusal path; warning-clean under the
crate's missing_docs lint. Workspace gate 2,914 passed / 0 failed. Doc 03
updated.
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* feat(engine): per-room adapter provenance + drift-to-recalibration advisor
Closes the trust-chain gap where an ~11 KB per-room LoRA adapter (ADR-150
section 3.4) could silently change inference without the witness noticing:
provenance carried only "rfenc-v<N>" with no notion of adapter identity.
- StreamingEngine::set_room_adapter(AdapterInfo): pins the adapter's
content-derived id into provenance model_version
("rfenc-v1+adapter:<id>") — and therefore into the BLAKE3 witness — so
swapping or clearing adapter weights always shifts the witness. Engine test
proves base -> adapter -> other-adapter -> cleared all witness differently
and cleared == base.
- RecalibrationAdvisor: recommends re-running the ADR-135 empty-room baseline
/ refitting the room adapter on sustained low fusion coherence (streak
threshold, default 60 cycles ~ 3 s at 20 Hz) or an ADR-142 change-point.
Surfaced as TrustedOutput::recalibration_recommended, stored on the
sensing-server AppState alongside the witness at both live fusion sites.
- Bridge plumbing: EngineBridge::{set_room_adapter, clear_room_adapter} +
live-path test that the adapter id flows into the live witness.
Scope note (honest): this is the deployable provenance/trigger half of the
"retrained model" roadmap item. Fitting the adapter itself runs in the
existing external calibration service (aether-arena/calibration/); a trained
RF-encoder checkpoint still does not exist in-tree.
Engine 15 tests, bridge 7 tests. Workspace gate: 2,918 passed / 0 failed.
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* fix(mat): gate api module behind its feature — standalone no-default-features builds
pub mod api was unconditional while its only dependency, serde, is optional
behind the 'api' feature, so any build without default features failed with
101 unresolved-serde errors (masked in --workspace runs by feature
unification). The api module and its create_router/AppState re-export are now
cfg(feature = "api")-gated with docsrs annotations.
All combos compile: bare --no-default-features (was 101 errors, now 0),
--no-default-features --features api, and full default (177 tests pass).
Workspace gate: 2,918 passed / 0 failed.
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* perf(signal): opt-in FFT operator for the CIR ISTA solver (8-14x measured)
Phi is a sub-DFT, so each ISTA mat-vec can run as one length-G FFT
(O(G log G)) instead of a dense O(K*G) product — the dominant-latency-hazard
finding from the beyond-SOTA optimization roadmap.
New CirConfig::fft_operator, default FALSE: the dense path stays the
bit-exact witness default. The FFT evaluates the same sums in a different
order, so enabling it shifts float results in the last bits and requires
regenerating any pinned witness — strictly opt-in per deployment.
FftOperator (rustfft, planned once at CirEstimator::new, scratch buffers
reused across the ISTA loop) dispatches inside ista_solve:
Phi x = scale * forward-FFT(x) sampled at bins (k_idx mod G)
Phi^H v = scale * unnormalised inverse-FFT of v scattered into those bins
Warm-start and Lipschitz estimation stay dense at construction.
Measured (criterion, same run, same machine):
ht20: 2.22 ms -> 265 us (8.4x)
ht40: 10.26 ms -> 717 us (14.3x)
The real HE40 grid (K=484, G=1452) scales further per the O(K*G)/O(G log G)
ratio.
3 new tests: FFT<->dense matvec equivalence to float tolerance on ht20 and
he40 grids; end-to-end dominant-tap agreement on a single-path frame; all
default configs keep FFT off. New cir_estimate_fft bench group.
Workspace gate: 2,921 passed / 0 failed (default path bit-exact, witnesses
unchanged).
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* feat(core): canonical frame decoder — capture-to-claim replay (ADR-136)
The encode half of the ADR-136 frame contract existed (ComplexSample,
to_canonical_bytes, witness_hash) but there was no decoder: a captured
canonical frame could be witnessed but never reconstructed, blocking
replay-from-capture.
CsiFrame::from_canonical_bytes is the exact inverse: same id, metadata,
complex payload, and witness hash (tested as the round-trip law AC7 — the
replayed frame re-encodes byte-identically). Amplitude/phase are recomputed
from the payload (projections, not independent state). Every malformed-input
class fails closed (AC8): header truncation -> Truncated, payload truncation
-> PayloadMismatch, unknown discriminants, non-UTF-8 device id, trailing
bytes. Nil calibration uuid decodes as None per the documented encoding.
Core: 36 tests pass. Workspace gate: 2,937 passed / 0 failed.
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* feat(engine): dynamic min-cut mesh partition guard (ruvector-mincut)
Maintains an exact min-cut over the live mesh coupling graph — nodes are
sensing nodes, coupling is the product of fusion attention weights — and
surfaces per cycle, as TrustedOutput::mesh:
- cut value: the global "how close is the array to partitioning" number,
a structural measure per-node heuristics miss;
- weak side: which specific nodes would split off (failure/jamming triage,
feeds ADR-032 posture);
- at-risk flag: counts as a structural event for the drift->recalibration
advisor (alongside ADR-142 change-points).
Degenerate cases fail toward risk: a node with zero coupling is reported as
already partitioned (cut 0, that node as the weak side).
Measured cost policy (criterion, 12-node mesh — the honest part):
- weights quantized (1/64) + change-gated: steady-state cycles do ZERO graph
work and reuse the cached cut (~7.3 us, ~23x cheaper than building);
- on any real change a full exact rebuild (~171 us) is used, because ONE
DynamicMinCut delete+insert measured ~240 us — the subpolynomial machinery
amortizes on much larger graphs, so rebuild-on-change is the measured
optimum at mesh scale (one-edge case -28% after switching policy);
- full process_cycle with the guard: ~33 us for 4 nodes vs the 50 ms budget.
9 mesh_guard tests (weak-node detection, steady-state zero updates,
sub-quantum gating, join/drop rebuild, determinism, disconnection) + an
engine-level wiring test (down-weighted node -> weak side -> recalibration).
Engine 24 tests; workspace gate 2,946 passed / 0 failed.
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* feat(engine): mesh partition risk demotes privacy + enters the witness (ADR-032)
Completes the mesh-guard integration: its at_risk signal was advisory-only
(fed the recalibration advisor). It now also contributes to the ADR-141
privacy demotion alongside fusion- and array-level contradictions — a mesh
close to partitioning makes the fused belief less trustworthy, so the cycle
emits at a more restricted class (monotonic; information only removed).
Because effective_class feeds the BLAKE3 witness, a fragmenting array now
shifts the witness: partition risk is auditable, not just logged. The mesh
computation moved ahead of the demotion step in process_cycle; mesh_guard_mut
exposes risk-threshold tuning.
Test: a forced-risk 3-node cycle demotes PrivateHome Anonymous->Restricted
and shifts the witness vs a clean baseline. Engine 25 tests; workspace gate
2,947 passed / 0 failed.
https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
* fix: public-PR review findings — privacy-path honesty, gate holes, mesh-guard cliff
- sensing-server: engine errors logged+counted (no silent swallow), trust
state exposed via status surface, privacy-demotion claims aligned with
the actual parallel-audit-path behavior
- occupancy_bench: vacuous-F1 hole closed (degenerate test sets fail with
their own criterion); CI-lower-bound test made probative
- mesh_guard: quantization scaled to observed coupling range — >=65-node
balanced meshes no longer permanently at_risk (regression test)
- engine: both wiring tests made probative (same-topology witness compare,
deterministic risk-crossing fixture)
- mat: axum/tokio optional behind api; real serde feature (api enables it)
- core: canonical decoder strict (non-zero reserved bytes and nil UUID
rejected — injective on accepted domain, forged-bytes tests)
- CHANGELOG: un-spliced the FFT/adapter bullet mangle
Co-Authored-By: claude-flow <ruv@ruv.net>
* chore: strip private-track references for public PR
Reword the occupancy-benchmark changelog bullet to drop a cross-reference
to the private research track, and restore the WorldGraph retention bullet
header that was glued onto the preceding MAT bullet.
Co-Authored-By: claude-flow <ruv@ruv.net>
* chore: lockfile refresh for cherry-picked feature set
Co-Authored-By: claude-flow <ruv@ruv.net>
---------
Co-authored-by: Claude <noreply@anthropic.com>
* docs(adr): ADR-151 — Per-Room Calibration & Specialized Model Training
Room-first calibration -> bank of small specialised ruVector models
(breathing, heartbeat, restlessness, posture, presence, anomaly) distilled
from the frozen Hugging-Face-published RF Foundation Encoder (ADR-150).
Four-stage local-first pipeline: baseline (ADR-135 environmental fingerprint)
-> guided enrollment (NEW EnrollmentProtocol, clean anchors not hours) ->
feature extraction (reuse signal_features + ruvsense) -> specialist bank
training (rapid_adapt LoRA heads, RVF storage, HNSW prototypes).
Invariants: specialisation over scale; local heads over a shared public base;
honest STALE degradation on baseline drift. Indexes ADR-149/150/151.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(cli): calibration HTTP API for UI-driven baseline capture (ADR-135/151)
Adds `wifi-densepose calibrate-serve` — an Axum HTTP API that wraps the
ADR-135 CalibrationRecorder so a UI (or any client) can drive an empty-room
baseline capture remotely. Stage 1 ("teach the room") of the ADR-151 room
calibration & training pipeline.
A single background task owns the UDP socket (ESP32 0xC511_0001 frames) and
the optional active recorder; HTTP handlers talk to it over an mpsc command
channel and read a shared status snapshot, keeping the &mut recorder
lock-free. CORS permissive so a browser UI can call it.
Endpoints (/api/v1/calibration/*):
GET /health liveness + UDP ingest stats (frames_seen, streaming)
POST /start { tier?, duration_s?, room_id?, min_frames? }
GET /status live progress (state, frames, progress, z, eta) — poll for UI
POST /stop finalize the current session early
GET /result finalized baseline summary (amp/phase-dispersion averages)
GET /baselines list persisted baseline .bin files
Reuses the existing calibrate.rs ESP32 wire parser (made pub(crate)); honest
abort when <10 frames arrive in the window (e.g. ESP32 not streaming).
Verified end-to-end over loopback: start -> 300 replayed HT20 frames ->
state=complete, 52-subcarrier baseline, phase_dispersion_avg=0.00096
(concentrated/valid), persisted to disk; all 6 endpoints exercised.
CLI: 19 tests pass; crate builds clean.
Co-Authored-By: claude-flow <ruv@ruv.net>
* test(cli): firewall-free CSI UDP relay for local Windows ESP32 testing
Windows Defender blocks inbound LAN UDP to a freshly-built binary without an
admin allow-rule; python.exe is already allowed. This relay binds the public
CSI port and forwards each datagram verbatim to a loopback port where
`calibrate-serve --udp-bind 127.0.0.1 --udp-port 5006` listens (loopback is
firewall-exempt). No admin required.
Validated: ESP32-format 0xC5110001 frames -> :5005 -> relay -> :5006 ->
calibrate-serve -> state=complete, 52-subcarrier baseline,
phase_dispersion_avg=0.00098 (clean). Completes the no-admin live-test path.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(changelog): record ADR-151 calibration API (calibrate-serve)
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(calibration): ADR-151 Stages 2–5 — enrollment, extraction, specialist bank, runtime
New crate wifi-densepose-calibration implementing the per-room pipeline beyond
Stage-1 baseline:
- anchor.rs: guided-anchor sequence + event-sourced EnrollmentSession (Stage 2)
- enrollment.rs: AnchorQualityGate + AnchorRecorder — gates anchors against the
ADR-135 baseline deviation (presence/motion), re-prompts bad captures
- extract.rs: Features + AnchorFeature — autocorrelation periodicity (breathing/
HR bands), variance/motion (Stage 3)
- specialist.rs: 6 small room-calibrated models — presence (learned threshold),
posture (nearest-prototype), breathing/heartbeat (band periodicity),
restlessness (calm/active normalization), anomaly (novelty vs anchors) (Stage 4)
- bank.rs: SpecialistBank — train/persist + baseline-drift STALE invalidation
- runtime.rs: MixtureOfSpecialists — presence short-circuit + anomaly veto +
stale flagging (Stage 5)
Statistical heads make the pipeline runnable/validatable today; the ADR-150 HF
RF Foundation Encoder backbone is the documented upgrade path. 29 unit tests pass.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(cli): wire ADR-151 enroll / train-room / room-status / room-watch
Integrates the wifi-densepose-calibration crate into the CLI as four
subcommands driving the full Stage 2–5 pipeline against a live ESP32 raw-CSI
stream (edge_tier=0):
- enroll: walks the guided anchor sequence, gates each capture against the
ADR-135 baseline deviation (re-prompts bad anchors), writes labelled features
- train-room: fits the SpecialistBank from the enrollment, persists JSON
- room-status: prints a trained bank's summary
- room-watch: live mixture-of-specialists readout (presence/posture/breathing/
heart/restless) over a rolling window, with anomaly veto + STALE flagging
Per-frame scalar is the mean CSI amplitude (carries presence/motion + breathing
modulation). Validated end-to-end on the live ESP32 (COM8, edge_tier=0): the
real parser → feature extraction → runtime detected breathing (~16–31 BPM) on
hardware. Full multi-anchor enrollment accuracy requires the operator to perform
the poses; phase-based breathing extraction is a noted refinement.
48 tests pass (29 calibration + 19 CLI).
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr-151): mark Stages 1–5 implemented; expand CHANGELOG
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(cli): keep proven mean-amplitude carrier for room features
The max-variance-subcarrier carrier locked onto motion artifacts (not
breathing) and also had an out-of-bounds bug on variable CSI subcarrier
counts. Reverted to the mean-amplitude carrier, which is validated live to
detect breathing. Phase-based extraction on a stable subcarrier remains the
proper higher-SNR refinement (ADR-151 §4).
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(calibration): multistatic fusion of co-located nodes (ADR-029/151)
MultiNodeMixture fuses several co-located nodes (each with its own
room-calibrated SpecialistBank) into one RoomState:
- presence: OR across nodes (any node seeing a person wins)
- posture/breathing/heartbeat: highest-confidence node (best viewpoint)
- restlessness/anomaly: max across nodes
- veto: any node's physically-implausible signal vetoes the room's vitals
(anti-hallucination, same as single-node runtime) + presence short-circuit
- stale: any node's STALE flag propagates
Same-room multistatic only; cross-room is federation (ADR-105), not fusion.
6 unit tests (presence OR, best-confidence breathing, single-node veto,
staleness). 35 calibration tests pass.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(cli): multistatic room-watch — fuse co-located nodes (ADR-029/151)
`room-watch --node-bank N:path` (repeatable) groups live CSI frames by node_id
and fuses per-node banks via MultiNodeMixture. Validated live on COM8 (node 9,
edge_tier=0): frames grouped + fused end-to-end. True 2-node fusion is covered
by unit tests; a second raw-CSI node is the hardware blocker. 54 tests pass.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(integration): calibration → cognitum-v0 appliance integration overview
Detailed cross-repo integration spec for cognitum-one/v0-appliance: data
contracts (CSI wire format, ADR-135 baseline binary, enrollment/bank/RoomState
JSON schemas), calibrate-serve HTTP API, public crate API, Pi5+Hailo tiering,
and a 5-step appliance integration plan. Grounded in the verified cognitum-v0
inventory (aarch64, cargo 1.96, HAILO10H, ruview-vitals-worker:50054).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(calibration): address PR review — aarch64 decouple, API auth, path traversal, throttle
Resolves the review on #989:
- **Cross-compile (the appliance blocker):** make wifi-densepose-mat optional
and feature-gate it (`mat`), so `cargo build -p wifi-densepose-cli
--no-default-features` excludes the mat→nn→ort(ONNX)→openssl-sys chain.
Verified: `cargo tree --no-default-features` shows 0 ort/openssl deps →
calibration cross-compiles clean for the Pi.
- **Security (must-fix before LAN):**
- `--token` / CALIBRATE_TOKEN bearer-auth middleware on every route; warns if
bound non-loopback without a token.
- sanitize client-supplied `room_id` to [A-Za-z0-9_-] (≤64) before it reaches
the baseline write path — kills the `../` file-write primitive. + test.
- **Perf:** stop locking shared status + cloning SessionStatus on every UDP
frame — counters/snapshot flush on the 200 ms tick instead (no CPU
starvation under flood). finalize write moved to async `tokio::fs::write`.
- **Docs:** ADR-151 STALE wording matches the impl (baseline-id change;
drift-threshold = P6 refinement); integration doc gets the
`--no-default-features` build + auth/sanitize notes.
35 calibration + 15 CLI tests (no-default) / 20 CLI (default) pass.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(worldgraph,worldmodel): add crates.io READMEs
Plain-language overviews + feature lists, comparison tables (symbolic graph vs
predictive occupancy; graph vs grid vs event-log), usage, and technical
details. Adds readme = "README.md" to both manifests so they render on
crates.io on the next release.
Co-Authored-By: claude-flow <ruv@ruv.net>
* release: worldgraph & worldmodel 0.3.1 (READMEs on crates.io)
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs: precise calibration validation scope (capture+API+auth proven; clean enroll→train→infer not yet on-target)
Aligns ADR-151 §7 + the appliance integration doc with the PR #989 scope
clarification: nothing has run a clean baseline → enroll → train → infer on
live CSI; the live breathing read used the stateless head, not a trained bank.
Adds --source-format adr018v6 to the backlog.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(calibrate-serve): live GET /room/state endpoint (mixture over CSI window)
Adds a live RoomState readout over HTTP — the appliance UI's main need. The
ingest task maintains a rolling per-frame scalar window (flushed on the 200 ms
tick, no per-frame lock); the handler loads a bank (resolved as a sanitized
name under output_dir — same path-traversal defense as room_id), runs the
MixtureOfSpecialists over the window, returns RoomState JSON.
Validated live (ESP32-S3 via relay): breathing 14-19 BPM over HTTP; a
bank=../../etc/passwd query is neutralized to 'etcpasswd' (no traversal).
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(calibrate-serve): POST /room/train + fix AnchorLabel JSON to snake_case
- POST /api/v1/room/train: { room_id, baseline_id, anchors[] } → trains a
SpecialistBank and persists it as <output_dir>/<room_id>.json (path-sanitized),
readable via /room/state?bank=<room_id>. Completes the HTTP train→infer loop.
- Fix data-contract bug: AnchorLabel serialized as PascalCase variant names
(serde default) while as_str() + the integration doc used snake_case. Added
#[serde(rename_all = "snake_case")] so the JSON wire format matches the
documented contract (empty/stand_still/…). Locked with a roundtrip test.
Validated live (ESP32-S3): POST train (4 anchors → 6 specialists, persisted) →
GET /room/state returns RoomState with the trained presence/restlessness; the
synthetic-vs-real scale mismatch correctly triggers the anomaly veto. 36
calibration tests pass.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(calibrate-serve): live enroll-over-HTTP (POST /enroll/anchor + /enroll/status)
Closes the last HTTP gap — the appliance can now drive the ENTIRE calibration
pipeline over HTTP without the CLI:
baseline (start/stop) -> enroll/anchor x8 -> room/train -> room/state
- POST /enroll/anchor { room_id, baseline, label, duration_s? }: the ingest task
loads the baseline (sanitized name under output_dir), captures the anchor for
the duration against it (AnchorRecorder + per-frame series), runs the quality
gate, and on completion replies with the verdict + accumulates the AnchorFeature
in an in-server enrollment map keyed by room_id. Re-prompts on rejection.
- GET /enroll/status?room=<id>: accepted anchors, next, complete.
- POST /room/train now falls back to the in-server enrollment when anchors[] is
omitted.
Validated live (ESP32-S3): capture baseline -> enroll stand_still (271 frames,
6s) -> gate correctly rejects "no person detected (presence_z 0.90 < 1.50)"
relative to a same-occupancy baseline (a clean empty-room baseline is the
documented on-target prerequisite). Builds clean; CLI tests pass.
Co-Authored-By: claude-flow <ruv@ruv.net>
* test(calibrate-serve): HTTP integration tests for the room/enroll endpoints
Factor the router into build_router() (shared by execute + tests) and add
tower-oneshot integration tests (no network/ingest needed):
- health + descriptor → 200
- POST /room/train persists the bank; GET /room/state → 200; train with no
anchors/enrollment → 400
- path-traversal: /room/state?bank=../../etc/passwd → 404 (sanitized, never
reads outside output_dir)
- enroll/status empty; /enroll/anchor with an unknown label → 400
CI regression coverage for the endpoints added this session. 18 CLI tests pass.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(mat): make serde non-optional — unblocks `cargo test --workspace --no-default-features`
Making wifi-densepose-mat optional in the CLI (for the aarch64/ort decouple)
exposed a latent feature bug: mat's `api` module compiles unconditionally and
uses serde, but `serde` was an optional dep enabled only via the `api`/`serde`
features. Previously the CLI's *unconditional* mat dependency enabled those
features transitively, so `--workspace --no-default-features` still got serde;
once mat became optional+gated, the workspace build lost it →
`error[E0432]: unresolved import serde` across mat's api/* (CI red).
mat already pulls serde_json + axum unconditionally, so making `serde`
non-optional has no real cost and restores the workspace build. Does NOT affect
the aarch64 CLI build (mat isn't built there at all): verified
`cargo tree -p wifi-densepose-cli --no-default-features` still shows 0
ort/openssl deps, and `cargo test --workspace --no-default-features` compiles
clean.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(claude.md): add wifi-densepose-calibration to crate table (pre-merge)
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(adr): ADR-152 — WiFi-pose SOTA 2026 intake (geometry-conditioned calibration, external benchmarks, encoder recipe)
Records the 2026-06-10 deep-research run (22 sources, 110 claims, 25
adversarially verified: 24 confirmed / 1 refuted) and the decisions it
implies:
- §2.1 ACCEPTED: geometry-condition the ADR-151 calibration system —
NodeGeometry at enrollment, geometry embeddings for future LoRA heads,
PerceptAlign-style two-checkerboard camera↔WiFi alignment for the
ADR-079 supervised path. PerceptAlign (MobiCom'26) names the failure
mode ("coordinate overfitting") that matches our own ADR-150 cross-
subject collapse.
- §2.2 ACCEPTED: benchmark protocol vs external "WiFlow-STD (DY2434)"
(claimed 97.25% PCK@20, Apache-2.0 weights+dataset) with a no-citation
rule until measured on our 17-keypoint ESP32 eval set. Name collision
with our internal WiFlow is disambiguated.
- §2.3 ACCEPTED: amend ADR-150 training recipe per UNSW MAE study —
80% masking, (30,3) patches, data-over-capacity priority (log-linear,
unsaturated at 1.3M samples).
- §2.4 watch items: IEEE 802.11bf-2025 published 2025-09-26;
esp_wifi_sensing as external presence baseline (drop-in claim REFUTED
0-3); ZTECSITool 160MHz/512-subcarrier anchor node (procurement-gated).
- §2.5 NOT adopted: non-WiFi "foundation model" papers; DensePose-UV
(no 2025-2026 work does UV regression from commodity WiFi).
Every number is evidence-graded CLAIMED vs MEASURED in the source
register. Re-check horizon 2026-12.
Co-Authored-By: RuFlo <ruv@ruv.net>
* test(calibration): full-loop integration test — baseline→enroll→train→infer proven in-process (ADR-151 §7 gap, software half)
Closes the software half of PR #989's headline validation gap: the
complete calibration loop had never run end-to-end anywhere, even
in-process. tests/full_loop.rs (412 lines, deterministic xorshift32
room simulator, HT20/52-subcarrier/20Hz, same fingerprint family as
the ADR-135 roundtrip test) now drives the CLI's exact stage order
through the public API:
1. baseline — 600 static frames, zero motion flags post-warmup,
calibration_uuid() exactly as the CLI derives it
2. enroll — all 8 AnchorLabel::SEQUENCE anchors through
AnchorQualityGate::default(), session is_complete()
3. extract — AnchorFeature::from_series recovers injected 0.25Hz
and 0.125Hz breathing within ±0.04Hz
4. train — SpecialistBank::train fits all 6 specialists; JSON
round-trip and the runtime consumes the RELOADED bank
5. infer — positive: never-enrolled 0.30Hz subject reads present,
18±2 BPM; negative: empty window reads absent;
degradation: foreign baseline_id flags STALE
Seed-robust (5 seeds), passes with and without default features:
36 unit + 1 integration green.
Validation docs updated (ADR-151 §7 + integration doc §7 matrix): what
remains is strictly the on-target hardware session (real CSI, physically
empty room, operator performing the guided anchors). Three behavioral
findings from building the test are recorded for pre-session triage:
z-band squeeze between baseline motion flagging (z>2.0) and the still-
anchor gate (presence_z≥1.5) — likeliest on-hardware enroll failure;
variance-only PresenceSpecialist missing motionless-person mean shift;
ungated breathing_hz/heart_hz in noise-window embeddings.
Co-Authored-By: RuFlo <ruv@ruv.net>
* fix(calibration): close all four ADR-152 behavioral findings pre-hardware-session
The full-loop integration test surfaced three findings; fixing the third
exposed a fourth. All four are fixed and regression-guarded:
1. z-band squeeze (enrollment.rs) — anchor motion is now measured from
frame-to-frame deltas of the deviation series (|Δz| > Z_DELTA_MOTION
0.5 ∨ |Δφ| > π/6), not from the absolute motion_flagged, which fires
at amplitude_z_median > 2.0 vs the EMPTY baseline and so conflated
presence strength with motion. A strongly-reflecting still person
(z = 3.0 — every frame flagged by the old heuristic) now enrolls.
The old unit tests mocked (z=3.0, motion=false), a combination the
real deviation() can never emit — which is exactly how the squeeze
hid; tests now derive the flag from z the way the producer does.
2. variance-only presence (specialist.rs) — PresenceSpecialist gains a
mean-shift channel: present when variance > threshold OR
|mean − empty_mean| > mean_dist_threshold (trained at half the
empty→occupied mean distance, None when the means don't separate).
Detects the motionless person whose body raises the scalar mean but
not its variance. Old persisted banks deserialize with the channel
inert (serde default None) — variance-only behavior preserved,
proven by a fixture test against pre-change JSON.
3. ungated hz embedding (extract.rs) — Features::embedding() zeroes
breathing_hz/heart_hz below EMBED_MIN_SCORE (0.25), keeping the
random in-band peaks of noise windows out of the posture/anomaly
prototype space. Raw fields stay ungated (specialists have their
own stricter gates).
4. heart-band lag-floor leakage (extract.rs, found while fixing 3) —
a pure 0.30 Hz breathing signal scored 0.67 in the heart band at
3.33 Hz: out-of-band rhythm leaks as a monotonic slope whose max
sits at the band's lag floor, so score gating alone cannot stop it.
autocorr_dominant now requires the winning lag to be an interior
local maximum; band-edge "peaks" are rejected, true in-band peaks
(interior by definition) are preserved.
full_loop.rs strengthened to drive the fixes end-to-end: the StandStill
anchor is now a z=3.0 strong reflector (unenrollable pre-fix), and a new
motionless-person runtime case proves mean-channel detection at empty-
level variance.
Validation: 41 calibration unit + 1 full-loop integration + 23 CLI tests
green; cargo test --workspace --no-default-features exit 0.
Co-Authored-By: RuFlo <ruv@ruv.net>
* fix(firmware): correct heart-rate estimation — sample-rate + harmonic lock
The edge vitals HR was stuck at ~45 BPM regardless of true heart rate
(Apple Watch ground truth 87 BPM read as ~45) and "dropped a lot" between
frames. Two root causes:
1. Stale fixed sample rate. estimate_bpm_zero_crossing() used a hardcoded
`sample_rate = 10.0f` (and the biquads a separate `fs = 20.0f`). That
constant was correct when CSI came from ~10 Hz beacons, but #985's
self-ping raised the callback rate to a VARIABLE ~13-19 Hz. BPM scales as
(assumed_rate / actual_rate) x true, so a true 87 read ~45, and because
the real rate fluctuates with CSI yield while the code assumed a fixed
value, the reported HR swung frame-to-frame (the "drops").
2. Breathing-harmonic lock. Zero-crossing HR estimation locked onto a
breathing harmonic — a 0.25 Hz breathing fundamental puts its 3rd
harmonic at ~0.74 Hz ~= 44 BPM, right in the HR band — so it parked at
~45 BPM independent of the real heartbeat.
Fix:
- Measure the real sample rate from inter-frame timestamps (EMA-smoothed,
clamped 8-30 Hz); use it for both BPM conversion and biquad design, and
re-tune the filters when the rate drifts >15% so the passbands stay in
real Hz.
- Replace the HR zero-crossing with estimate_hr_autocorr(): autocorrelation
peak in the 45-180 BPM band that explicitly rejects lags within 8% of any
breathing harmonic (k=1..6), with parabolic interpolation and a peak-
confidence gate (returns 0 rather than a noise value).
- Median-smooth (N=9) the emitted HR over valid estimates to kill residual
single-frame outliers.
Validated on hardware (ESP32-S3, COM8/192.168.1.80) vs an unmodified board
(192.168.1.67) and an Apple Watch (87 BPM):
- old firmware: HR pegged 40-52 BPM (median ~45)
- fixed firmware: HR reaches the true 88-91 BPM range (peak 88.5, vs 87 GT)
Known limitation: under subject motion (motion=Y) HR is still noisy because
the breathing estimate degrades and misguides harmonic rejection; motion
gating + breathing robustness are follow-ups.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(firmware): robust HR harmonic rejection via autocorr breathing period (#987)
Follow-up to 332c2a98d. The HR harmonic rejection was fed the noisy
zero-crossing breathing estimate, which under motion notched the wrong
frequencies and let the autocorr lock onto the ~0.75 Hz breathing harmonic
(~45 BPM). Generalize estimate_hr_autocorr -> estimate_periodicity_autocorr
and drive HR harmonic rejection from a robust autocorrelation breathing
period instead; widen the HR median smoother to N=13.
Hardware A/B (fixed .80 vs unmodified control .67, both edge_tier=2, subject
in motion 100% of frames):
- control (old fw): HR pegged 40-43 BPM (median 40.6)
- fixed: HR 60-91 BPM (median 71.9) — sub-60 harmonic locks
eliminated, spread 42->31 BPM vs previous build
Reported breathing is unchanged (still zero-crossing); the autocorr breathing
period is used only internally for HR harmonic rejection.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs(changelog): record ESP32 heart-rate fix (#987)
Co-Authored-By: claude-flow <ruv@ruv.net>
The ESP32 CSI engine only produces CSI for received OFDM frames (L-LTF/
HT-LTF). On a quiet network — or on a display-enabled build where the
#893 MGMT->MGMT+DATA promiscuous upgrade is skipped (has_display=true) —
the only CSI-eligible frames are sparse beacons (often non-OFDM DSSS),
so wifi_csi_callback can starve to yield=0pps -> DEGRADED -> motion=0
(#521, #954).
Fix (additive): pin a ~50 Hz OFDM unicast floor by pinging the STA's own
DHCP gateway. The router's ICMP echo replies are OFDM frames destined to
this station and drive the CSI engine regardless of promiscuous filter
state or ambient traffic. Mirrors Espressif's esp-csi csi_recv_router
reference. Promiscuous capture (#396/#893) is left fully intact so
multistatic/multi-node sensing still hears other stations' frames.
Reconciles PR #955 (which removed promiscuous entirely and conflicted
with the already-shipped #893 DATA-capture path) into an additive change
on current main.
Verified on ESP32-S3 (N16R8, COM8), ESP-IDF v5.4:
Promiscuous mode enabled (MGMT-only, RuView#396)
self-ping started -> 192.168.1.1 @50Hz (CSI OFDM source, fix #521/#954)
CSI cb #1: len=128 rssi=-40 ch=5
adaptive_ctrl: state=6 yield=13-19pps motion=1.00 presence>0 (SENSE_ACTIVE)
DEGRADED cleared; CSI yield stable ~15 pps over 60 s.
Co-authored-by: Meraj <merajmehrabi@gmail.com>
Background
Issue #937 in the cognitum-v0 appliance repo flagged that the
`cognitum-csi-capture` systemd unit shipped `--simulate` by default,
silently serving synthetic CSI tagged as production telemetry on
`/api/v1/sensor/stream`. That's a textbook trust-eroding pattern — the
single most-cited "where's the real data?" evidence external reviewers
(#943, #934) point at when they call the project AI-slop.
A grep across THIS tree surfaced the exact same anti-pattern in three
places:
docker/docker-compose.yml:27 # auto (default) — probe ESP32, fall back to simulation
docker/docker-entrypoint.sh:14 # CSI_SOURCE — data source: auto (default), ...
main.rs:6435 info!("No hardware detected, using simulation"); "simulate"
The sensing-server's `auto` source resolver at main.rs:6425-6440
silently fell back to synthetic with only an `info!` log line as the
signal. Downstream consumers calling `/api/v1/sensing/latest` or
`/ws/sensing` had no in-band way to know they were being served fake
data.
Fix
`auto` now refuses to fall back. When neither ESP32 UDP nor host WiFi
is detected, the server logs a clear `error!` explaining the situation
and exits 78 (EX_CONFIG). The error message names the two ways to
proceed: provision real hardware, or set `--source simulated` /
`CSI_SOURCE=simulated` explicitly. Existing operators who already use
`--source simulated` (or its legacy `simulate` alias) are unaffected —
the alias is preserved for back-compat.
Docker entrypoint comment, docker-compose comment, and the Tauri
desktop app's source-default path also updated to reflect the new
posture. The desktop app keeps its `simulated` default because it's
an explicit demo product — the value passed downstream is the
*explicit* `simulated`, not `auto`, so the server tags it correctly
and never lies about its data source.
Validation
cargo build -p wifi-densepose-sensing-server --no-default-features
cargo test -p wifi-densepose-sensing-server --no-default-features
→ 122 / 122 pass, build clean (existing pre-fix warnings unchanged).
Deployment
⚠ Breaking change for unattended deployments that relied on the
`auto → simulated` silent fallback. That is exactly the failure mode
this PR fixes: pretending to serve real sensing data when the source
is fake. Operators who genuinely want demo mode set
`CSI_SOURCE=simulated` explicitly; the error message and the
docker-compose comment both point them there.
* fix(firmware,docker): clear three high-severity bugs in one sweep
Closes#946 — wasm3 fails on Xtensa GCC 15.2.0 (ESP-IDF v6.0.1)
cannot tail-call: machine description does not have a sibcall_epilogue
instruction pattern
wasm3's `M3_MUSTTAIL return jumpOpImpl(...)` uses
`__attribute__((musttail))` which GCC 15 enforces strictly on Xtensa,
where the backend never reliably implemented sibling-call epilogues.
Define `M3_NO_MUSTTAIL=1` in the wasm3 component compile-defs so the
macro expands to plain `return` — slightly slower per opcode dispatch
but functionally identical, and the only change needed in this tree.
Older IDF / GCC builds accept the define as a no-op so the IDF v5.4
CI build is unchanged.
Closes#949 — swarm task stack overflow on Seed TLS init
The reporter provisioned with `--seed-url https://...` which exercises
TLS, and the task panicked with the FreeRTOS stack-fill sentinel
`0xa5a5a5a5` immediately after the bridge init line. `SWARM_TASK_STACK`
was 3 KB ("HTTP client uses ~2.5 KB" per the original comment) — fine
for plain HTTP, far too small for mbedTLS handshake which alone wants
4-6 KB for the cipher suite + cert chain + ECDH state, plus another
1.5-2 KB for esp_http_client. Bumped to 8192 with the why in the
comment. Plain-HTTP deployments waste ~5 KB headroom (negligible
PSRAM cost) but the bug class is closed.
Closes#864 — Docker default exposes unauthenticated sensing API + WS
`docker-entrypoint.sh` started the sensing-server with `--bind-addr
0.0.0.0` AND empty `RUVIEW_API_TOKEN` AND docker-compose published
3000/3001/5005 — anyone on a reachable network segment could read
/api/v1/sensing/latest and the /ws/sensing live frame stream.
Now the entrypoint refuses to start when:
RUVIEW_API_TOKEN is empty
AND RUVIEW_ALLOW_UNAUTHENTICATED is not "1"
AND RUVIEW_BIND_ADDR is not loopback / localhost / ::1
…and prints exactly which three escape hatches the operator can take
(set the token, opt in explicitly, or pin to loopback). Also wires
RUVIEW_BIND_ADDR through to --bind-addr so the loopback escape hatch
is one env var, not a flag override. cog-ha-matter / homecore routes
are excluded from this check since they own their own auth lifecycle.
This is a breaking change for unattended LAN deployments — exactly
what the reporter asked for.
Validation
* `idf.py build` for esp32s3 target — succeeds (#946 fix doesn't
affect default IDF v5.4 build path).
* `idf.py set-target esp32c6 && idf.py build` — succeeds, binary
1015 KB / 45% partition free.
* Hardware flash to COM12 (C6) failed with "No serial data received"
— XIAO C6 needs manual BOOT-hold+RESET; couldn't drive that without
operator. Code is correct per build + review; runtime validation
needs the operator to press the BOOT button at flash time.
* docker-entrypoint.sh changes are shell-only — exercised by reading
the path under the four escape-hatch conditions.
Out of scope — cross-repo issues
Issues #935 (cognitum-agent mesh panics), #936 (CSI relay routing),
and #937 (cognitum-csi-capture --simulate default) reference
`cognitum-agent` / `csi-capture` / `csi-relay-routes.json` artifacts
that live in the cognitum-v0 appliance repo, not this tree.
Issue #954 (CSI callback never fires on S3 v0.6.5/v0.7.0) is not
addressed here — the reporter is on the S3 (COM9 in this lab) but the
hardware path needs an interactive debug session with a configurable
AP traffic source to pin the root cause (MGMT-only filter, traffic
filter MAC, or driver-level callback wiring). Will tackle in a
follow-up.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(firmware): bump LWIP UDP / WiFi TX buffer pools to ease ENOMEM
Hardware validation on COM8 (S3) and COM9 (C6) surfaced a v0.7.0
regression not captured in the existing issue tracker: stock IDF v5.4
defaults (UDP recv mbox = 6, TCPIP recv mbox = 32, WiFi dynamic TX
buffers = 32) are too small for the v0.7.0 packet mix once CSI
promiscuous mode is active. The boot trace showed
`stream_sender: sendto ENOMEM — backing off for 100 ms` repeating
every capture cycle, with the csi_collector path reporting `fail #1..5`
within seconds of associating to an AP.
Modest bumps applied (~3 KB extra heap each):
CONFIG_LWIP_UDP_RECVMBOX_SIZE 6 → 32
CONFIG_LWIP_TCPIP_RECVMBOX_SIZE 32 → 64
CONFIG_ESP_WIFI_DYNAMIC_TX_BUFFER_NUM 32 → 64
Empirical 25 s measurement on S3 / COM8 post-fix:
csi_collector fail # : 1-5 → 0 (full path drained)
stream_sender ENOMEM hits / sec : 8-15 → 8 (capped by 100 ms backoff)
CSI cb rate : ~28 cb/s, yield max 18 pps
feature_state emit failed : still present
A second, more aggressive iteration (DYNAMIC_TX=128, PBUF_POOL=32, TCP
SND/WND=16384) was tested and reverted — the ENOMEM count was
identical to the modest bump. The residual 8/s is structural: it's the
100 ms backoff window ceiling × the adaptive_controller emit cadence
which currently fires roughly every 50 ms instead of the intended 1 Hz.
Bigger buffers don't fix that — only rate-limiting the emitter does.
Code-level rate-limit refactor is tracked separately to keep this PR
scoped to the bundle that landed mechanically.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(firmware): rate-limit feature_state emit from 5 Hz → 1 Hz
Completes the ENOMEM cure that the LWIP/WiFi buffer bumps started.
Root cause (verified on COM8 / S3 + COM9 / C6)
`fast_loop_cb` runs every 200 ms (5 Hz) and unconditionally called
`emit_feature_state()`. Combined with CSI capture in promiscuous mode
(radio mostly in RX), the WiFi TX airtime got saturated and every
100 ms backoff window had at least one ENOMEM. Bumping the LWIP/WiFi
buffer pools to 4× had no effect on the ENOMEM rate because the
bottleneck was radio TX time, not pool size.
The ADR-081 spec calls out "1–10 Hz" for feature_state; 5 Hz was at
the top of the range and not necessary — operators consuming the
telemetry want a sample every second, not five times. Dropping to
1 Hz frees ~80 % of the feature_state TX traffic.
Measurement on COM8 (25 s windows, otherwise-idle environment)
csi_collector lost sends : 1-5 / 25 s → 0 / 25 s (✓ fixed)
feature_state emit failed : 75 / 25 s → 25 / 25 s (3× ↓)
total sendto ENOMEM log lines: 200/25 s → 212 / 25 s
(unchanged — bound by 100 ms backoff
window ceiling, not by emit rate)
CSI yield : 18 pps (steady)
The unchanged total ENOMEM is a measurement artifact: the backoff
window emits exactly one ENOMEM record per 100 ms when *anything*
collides with a TX-busy moment. The packet-loss numbers (which is
what actually matters) all dropped to zero or near-zero on the CSI
path.
Implementation
Pure-static `s_emit_divider` counter in `fast_loop_cb`. Every 5th tick
calls the emit. Zero allocation, zero extra state, zero interaction
with the existing observation snapshot under `s_obs_lock`. Could be
made config-driven if any operator ever wants 2-5 Hz back — out of
scope here.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(firmware): on_send ESP-NOW callback compat for IDF v6.0 (closes#944)
ESP-IDF v6.0 changed `esp_now_send_cb_t` from
void (*)(const uint8_t *mac, esp_now_send_status_t status)
to
void (*)(const esp_now_send_info_t *tx_info, esp_now_send_status_t status)
The C6 sync ESP-NOW path's `on_recv` was already version-guarded with
`#if ESP_IDF_VERSION >= ESP_IDF_VERSION_VAL(5, 0, 0)` (lines 102-112)
but the `on_send` sibling missed the equivalent guard. CI runs against
IDF v5.4 so the regression slipped through; the reporter on IDF v6.0.1
with xtensa-esp-elf esp-15.2.0_20251204 hit:
c6_sync_espnow.c:182:30: error: passing argument 1 of
'esp_now_register_send_cb' from incompatible pointer type
[-Wincompatible-pointer-types]
Fix: mirror the recv guard with `#if ESP_IDF_VERSION_MAJOR >= 6` since
the send-callback signature change happened at IDF v6.0 (not v5.x like
the recv-callback). Both branches ignore the address-side argument
since `on_send` only inspects `status` to bump the TX-fail counter.
Adds `#include "esp_idf_version.h"` so the macro is in scope.
Closes#944
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(signal): anchor estimate_occupancy noise floor to calibration (closes#942)
`test_estimate_occupancy_noise_only` asserts that 20 noise-only frames
fed through a 50-frame calibrated `FieldModel` yield 0 occupancy.
Failure reported on the upstream Linux + BLAS build.
Root cause
Calibration and estimation each compute their own Marcenko-Pastur
threshold:
threshold = noise_var · (1 + sqrt(p / N))²
with `noise_var` = median of the bottom half of positive eigenvalues
from their own covariance. The MP ratio differs across the two phases:
calibration (50 frames, p=8): ratio = 0.16, factor ≈ 1.96
estimation (20 frames, p=8): ratio = 0.40, factor ≈ 2.66
On a small estimation window the local `noise_var` estimate can also
be smaller than the calibration's (fewer samples → bottom-half median
hits lower-magnitude eigenvalues). The combination of a smaller
noise_var on estimation and the larger MP factor can flip eigenvalues
on/off the "significant" line in a sample-size-dependent way, so an
identical-distribution test window scores `significant >
baseline_eigenvalue_count` and reports phantom persons.
Fix
Persist the calibration `noise_var` on `FieldNormalMode` (new field
`baseline_noise_var: f64`) and use `max(local_noise_var,
baseline_noise_var)` as the noise floor inside `estimate_occupancy`.
This anchors the threshold to the calibration scale and prevents the
short-window collapse without changing behavior when the local
window's own noise dominates (the real-motion case).
`baseline_noise_var` defaults to 0.0 in the diagonal-fallback paths;
the estimation code treats 0.0 as "no anchored floor available" and
preserves the pre-#942 single-window behavior — so older `FieldNormalMode`
instances deserialised from disk continue to work unchanged.
Test results
cargo test --workspace --no-default-features
→ 413 lib tests pass (signal crate), 0 fail, 1 ignored.
The actual `eigenvalue`-gated test still requires BLAS (not buildable
on Windows). Logic-trace via the four numerical anchors above shows
the fix flips `noise_var` from the smaller local value back up to the
calibration scale, dropping `significant` to or below
`baseline_eigenvalue_count` so the saturating subtraction returns 0.
Closes#942
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-06-04 08:17:37 +02:00
1986 changed files with 285594 additions and 200100 deletions
"description":"Claude Code mod: /ruview opens a live pane with your CSI nodes (ESP32, Realtek) and ESPHome radar (presence, distance, device-reported vitals), refreshed on a timer, plus a one-line status. Read-only; ships inside @ruvnet/ruview. Mods are early access (CLAUDE_CODE_ENABLE_FUNCTION_HOOKS=1)."
@@ -7,7 +7,183 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## [Unreleased]
### Community batch (PRs #2100-#2157 by aepod, reviewed and integrated)
Integrated as one set: conflicts resolved, review findings fixed, validated on the integrated branch. Hardware figures cited by the PRs are the author's own live runs on ESP32-S3 nodes and were not independently reproduced here.
- **Security and honest status.** Refuse a routable HTTP bind when API auth is off (#2134). `--privacy-mode` now strips biometrics from REST, WebSocket and recordings, not only MQTT (#2125; the stripped-key list is an exact-match allowlist, so a new biometric field must be added to it). `/api/v1/status` waits for a real frame and unknown `--source` values are rejected (#2126; breaking for `--source macos|linux|windows`). A stale `/sensing/latest` reports `{"status":"stale"}` after 10 s (#2119). Measured stream fps and real WebSocket client counts (#2127). Absent nodes no longer count as one person (#2132). ESP32 frames with zero antennas or subcarriers are dropped (#2118). Dead nodes are evicted on a timer (#2120). Recordings and models stay under `--data-dir` (#2129). Boolean env flags accept 1/0/yes/no/on/off (#2108). Docker UDP ingest posture is explicit (#2107).
- **CSI pipeline.** The grid gate locks on the majority frame shape and `/health` reports a stalled pipeline (#2157; a partial fix, mixed 192/306 frame shapes still drop frames, so it does not close #1894). Phase is combined across nodes only when they declare a shared reference (#2156). Point-cloud and hardware parsers use the ADR-018 layout and accept more than 256 subcarriers (#2155; the bandwidth rule for counts above 64 is CLAIMED, inferred from the datasheet). Per-node adaptive training from real recordings (#2101, #2103); a run that fell back to the live buffer now reports `degraded: true`. Gaussian decay no longer compounds across calls (#2140).
- **MediaTek (ADR-266/267).** Legacy and unknown PPDU types in MTC1 (#2112), per-device ingest capped at 64 devices (#2113), a labelled amplitude heuristic and activity index (#2114; CLAIMED, not an occupancy estimate), an MT7981 bridge (#2115), and the OpenWrt WN586X3 patch set and guide (#2116; the vendored CSI patch is BSD-3-Clause-Clear, see `NOTICE`).
- **MQTT / Home Assistant.** Semantic states wired into the publisher, entities announced only when sourced, persisted client id (#2117). Existing Home Assistant installs keep retained discovery configs for the six removed entities until they are cleared manually.
- **Provisioning and firmware.** Wi-Fi password kept owner-only and out of argv and `--state` (#2153); state keyed by board MAC (#2152); `--dry-run` and a failed `--reset` leave state intact (#2111); OTA images confirmed by a bounded health check, which means only "reached the network and sent CSI" (#2100, ADR-379).
- **Ground truth and spatial.** Radar window adapter and auto-labeller with a session-disjoint split and a median count baseline; radar labels carry `evidence: CLAIMED` (#2143, #2144). Node self-survey, check-only (#2145, ADR-381). The `spatial.evidence.v1` export defaults to the CODE proof grade and MEASURED requires a reproducer (#2141, ADR-382). Loopback UDP tee (#2102, ADR-380).
- **Tooling.**`prove.sh` reports INCOMPLETE instead of PASS when a gate is skipped (#2130); ADR-018 capture scripts (#2131); API token on the ground-truth script (#2104); the UI asks for the API token instead of retrying forever (#2128); macOS redacted-link handling (#2105).
- **Not included:**#2106 (MacWifi.app, draft) and #2142 (MR60 probe change, needs a captured MR60BHA2 boot log). `v2/data/adaptive_model.json` (41.5% training accuracy) is no longer tracked (#2135).
### Added
- **`@ruvnet/ruview` 0.9.1: live sensing views inside Claude Code (ADR-377, ADR-378).** The package now ships `ruview-live`, a Claude Code mod. Type `/ruview` and a pane opens next to the conversation showing what your sensors see right now, refreshed automatically. It has three views, switched with keys `1``2``3` or with `/ruview overview|waterfall|radar`:
- **Overview**: the CSI nodes streaming to your machine (rate, packet loss, signal strength) and an optional 60 GHz radar kit (presence, distance, heart and breathing rates).
- **CSI waterfall**: the Wi-Fi signal itself, the strength of every subcarrier over time, drawn in colour and scrolling as frames arrive. The new `ruview esp32 --spectrum` option supplies the data.
- **Radar**: a top-down range fan with an animated ping out to the measured distance, plus heart, breathing and distance charts.
Every reading is labelled honestly: MEASURED or SYNTHETIC from the packets themselves; radar vitals as "device-reported, not validated"; range-only radar as "distance, not direction". The pane only reads; it never flashes or configures a device.
Verified on real hardware: an ESP32-C6 streaming CSI and a Seeed MR60BHA2 radar kit (MEASURED; reproducer `npx @ruvnet/ruview esp32 --seconds 4 --spectrum --json`). The package's size ceiling rises from 384 KiB to 448 KiB; it still has no runtime dependencies.
- **`wifi-densepose-sar` — coherent wideband RF tomography research crate (ADR-287).** New standalone leaf crate (the `nvsim` pattern; zero coupling to `wifi-densepose-hardware` or any real ingestion path) implementing the synthetic-aperture-radar reconstruction primitive a handheld through-wall RF imaging device would need — motivated by comparison against Applied Electrodynamics' "WaveSight" launch, and explicitly scoped below ADR-278's RISE/DiffRadar/GeRaF reproduction gates. Ships: (1) a stepped-frequency, multi-position complex forward measurement simulator (`y_{m,k} = Σ σ_j/R² · exp(-i·4π·f·R/c) + noise`, deterministic ChaCha20 seeding); (2) delay-and-sum backprojection reconstruction onto a 3D voxel grid, rayon-parallelized over voxels; (3) threshold + local-maximum point-cloud extraction; (4) closed-form range/cross-range resolution and antenna-pose coherence-budget formulas (`ΔR=c/2B`, `δ_CR≈λR/2L`, `Δp≤λ/8`) checked against the reconstruction's *actual* behavior in `tests/physics_validation.rs` rather than merely documented — forward-simulating two targets at controlled separations and proving they resolve or merge exactly where the formulas predict, and that reconstructed focus at a known target degrades as injected antenna-pose error grows. Every number is SYNTHETIC/L0 (ADR-282) — no real wideband RF hardware backs this crate; see the crate README and `docs/tutorials/coherent-rf-tomography-backprojection.md` for the full honesty boundary and a worked walkthrough. `focus_at_point` exploits the evenly-spaced-by-construction frequency sweep (an arithmetic progression in per-term phase) to evaluate each pose's phasor once and advance it by a fixed complex-multiply step per frequency instead of one `sin`/`cos` pair per frequency — **MEASURED ~4.4-4.5x faster** (criterion regression detection, p < 0.001) than the first-shipped direct-computation version, proven equivalent (not just faster) to an independently reimplemented reference across four sweep sizes and on-/off-target points. 25 tests (22 unit + 3 integration), 0 failed, clippy-clean; MEASURED backprojection throughput ~1.7-2.3M voxels/sec (criterion, 21 poses × 32 freq steps).
- **HOMECORE platform runtime completion — secure native/Wasmtime plugins, authenticated HAP IP, expanded Home Assistant APIs, durable restoration/migration, and voice protocols.**`homecore-server` now owns deterministic compiled-in native plugin registration plus explicitly configured, path-bounded, Ed25519 publisher-verified Wasm packages executed through Wasmtime with setup/state-change/teardown lifecycle; arbitrary native dynamic libraries remain intentionally unsupported. The optional HAP server implements persisted accessory identity and controller records, SRP-6a Pair-Setup M1–M6, X25519/Ed25519 Pair-Verify M1–M4, HKDF-SHA512/ChaCha20-Poly1305 record framing, authenticated/admin endpoint gates, replay/tamper closure, live entity synchronization, and paired-state `_hap._tcp` mDNS updates (45 focused tests; external Apple certification is not claimed). Startup restores device/entity registries and deterministic latest recorder states before plugins, and migration now atomically preserves forward-compatible device/config-entry fields. The HA-compatible surface adds events, templates, config checks, components, registries, history/logbook with SQL-enforced global response bounds, calendar/camera provider routes, and modern WebSocket negotiation while retaining a machine-readable limitations matrix for integration-specific behavior. Assist adds bounded PCM16, async STT/TTS contracts, an end-to-end speech pipeline, and an authenticated satellite session protocol; real deployments still provide the speech engines.
- **`ruview-unified` increment 3 — Gaussian update-loop completion, separable delay-Doppler, and property-tested boundary hardening.** (1) `GaussianMap::merge_overlapping` (ADR-275 step 5: mutual-Mahalanobis + semantic-compatibility dedup catching drift the insert-time gate misses) and lifetime-aware decay (`τ_eff = τ·(1+ln(1+lifetime/τ))` — confirmed structures outlive transients at equal nominal τ). (2) `delay_doppler_map` reimplemented separably (`O(B²S+S²B)`), proven equivalent to the direct reference to <1e-10 and **measured 8.3× faster** (520 µs vs 4.34 ms at 56×8). (3) `tests/security_boundaries.rs` — 8 `proptest` properties over the boundary surfaces (arbitrary values incl. NaN/±inf via `f64::from_bits`) that found and fixed three input-controlled defects: a BLE-CS phase-unwrap infinite loop on non-finite phases and an ~1e299-iteration loop on finite-huge phases (now O(1) modular unwrap + plausibility bound), and a subnormal Gaussian scale overflowing `1/σ²` to NaN density (now physical σ/occupancy bounds). (4) New criterion benches for all increment-2 hot paths (`to_canonical` 38 µs, `ble_cs_range` 481 ns, AoI planner 647 ns/200 regions, coherent fusion 1.5 µs/32 members, factorized pose 521 ns). ruview-unified now 98 tests (87 lib + 3 acceptance + 8 security), 0 failed, clippy-clean.
- **`ruview-unified` increment 2 — native frame contract + programmable perception (ADR-279..282).** (1) `RfFrameV2` becomes the authoritative RF record: native complex IQ with explicit validity masks, declared `PhaseState`, TX/RX poses + antenna geometry in one building frame, calibration/quality state, and a provenance rule enforced at construction — `Synthetic ⇒ L0Simulation` and `Measured ⇒ ≥ L1CapturedReplay` can never alias (the public L0–L5 evidence ladder is now a type); the 56-bin canonical tensor is demoted to a derived compatibility view (`to_canonical`, mask-aware gap-filling through the same normalization path as every adapter; native samples proven byte-untouched). (2) Active sensing control plane (`control.rs`): ETSI-ISAC-vocabulary `SensingTask` admission (raw export always refused; identity requires consent), `SensingAction`/`InformationGoal`, an age-of-information `ActiveSensingPlanner` (priority = uncertainty × change rate × criticality ÷ cost; **measured 95% sensing-traffic reduction** vs uniform refresh on a 20-region scenario), fail-closed `CoherentSensorGroup` fusion gates (time/phase/geometry bounds; five denial paths tested), policy-authorized RIS/movable-antenna actuation receipts, and purpose-scoped `TaskSufficientRepresentation` leakage validation. (3) New modality surfaces: BLE Channel Sounding adapter + `ble_cs_range` treating phase-slope and RTT as **separate cross-validated evidence** (exact distance recovery on synthetic tones; relay-style divergence flagged, never averaged), delay-Doppler-native `FieldAxis` + `delay_doppler_map` (unit-peak tone test), IEEE P3162 synthetic-aperture import profile. (4) RePos-factorized pose head (relative skeleton on the content representation, root on the geometry-conditioned one, calibrated per-joint uncertainties): held-out-room MPJPE 0.0003 m vs 0.2534 m for the monolithic baseline in the room-shortcut leakage experiment; ≤2% structured-adapter budget (740 params). (5) Age gate input now `log(1+age_ms)` per the age-aware-CSI recipe (gradient check re-proven); Gaussian primitives gained `first_seen_ns`/`doppler_variance`/bounded `source_receipts` lineage; `PartitionKey` gained a `session` dimension and `SplitManifest` certifies disjointness across all seven dimensions. 87 tests, 0 failed; crate clippy-clean. Docker images unaffected (no shipped binary consumes the crate yet); Python proof re-verified PASS.
- **`ruview-unified` — unified RF spatial world model, P1 (ADR-273..278).** New v2 workspace leaf crate implementing the five-pillar architecture: (1) canonical `RfTensor` (`links × 56 bins × 8 snapshots`, complex, validated at the boundary) plus a fail-closed hardware adapter registry with reference adapters for 802.11 CSI (consumes `wifi-densepose-core::CsiFrame`), FMCW radar cubes (fast-time DFT), UWB CIR, and 5G SRS (comb de-interleave); (2) a universal RF foundation encoder — window-median + CFO-aligned tokenizer, masked-reconstruction pretraining with a hand-derived backward pass verified against central finite differences (174 params sampled, max rel err 1.31e-5), the ADR-273 fusion contract `z = Enc(CSI) ⊙ σ(AgeEnc) + GeomEnc(pose)`, and ≤1% task adapters (presence 129 / activity 268 / localization 387 / anomaly 2 vs a 40,856-param backbone); (3) an RF-aware Gaussian spatial memory — anisotropic primitives with per-band×angle reflectivity, confidence-weighted fusion, exponential decay, spatial-hash + semantic queries, closed-form (erf) Beer–Lambert channel-gain queries that degrade to exact Friis on an empty map, inverse gain updates that learn an unseen 6 dB obstruction to <0.5 dB in 20 link observations, and a JITOMA-style task-gated scene graph; (4) a physics-guided synthetic RF world generator — Allen–Berkley image method (order ≤2), complex-permittivity Fresnel materials, bistatic person scattering with *emergent* Doppler (proven against the analytic phase rate), seeded ChaCha20 domain randomization of physics + hardware nuisances (gain/CFO/phase noise/packet loss/interference); (5) an edge sensing control plane — 802.11bf/ETSI-ISAC-aligned purposes and zones, fail-closed authorization, a double-gated identity purpose, retention bounds, and a `BoundedEvent`-only trust boundary that makes raw RF export unrepresentable. Anti-leakage evaluation (`StrictSplit` by room/day/person/chipset/firmware/layout with an independent disjointness verifier, ECE, selective risk, degradation) plus an end-to-end acceptance pipeline: presence F1 1.00 on held-out rooms *and* held-out chipset, degradation 0.0, ECE 0.012, p95 tokenize+encode 2.0 ms debug / 105 µs release — **all SYNTHETIC** (honest labeling propagates from `RfModality::Synthetic` through `Provenance.synthetic`). Criterion benches with an optimization pass: segment-corridor candidate search took `channel_gain` from 139 µs → 27 µs (O(1) in map size; hash/linear crossover at ~4k Gaussians reported honestly), `observe_link` 305 µs → 74 µs, precomputed DFT twiddles 4.9×. 66 unit + 3 acceptance tests, 0 failed.
### Changed
- **crates.io release batch — 10 of the 12 documented crates republished at their next patch version.**`wifi-densepose-core` 0.3.2, `-vitals` 0.3.2, `-wifiscan` 0.3.2, `-hardware` 0.3.2 (picks up the ADR-273..282 review-fix commit's clippy fixes), `-signal` 0.3.6, `-nn` 0.3.2, `-ruvector` 0.3.3, `-train` 0.3.3, `-mat` 0.3.2, `-wasm` 0.3.1 — all published and verified live on crates.io. **`wifi-densepose-sensing-server` and `wifi-densepose-cli` were bumped locally (0.3.5, 0.3.2) but NOT published**: both now path-depend on `ruview-auth`, which is deliberately `publish = false` and not on crates.io — `cargo publish` correctly refuses to publish a crate with an unversioned/unpublishable path dependency. This is a pre-existing gap (the dependency predates this batch); resolving it is a deliberate call for whoever owns whether `ruview-auth` becomes public, not something to route around silently.
- **`wifi-densepose` promoted to `2.0.0` stable; `ruview``2.0.0` prepared for its first stable publish (ADR-184 P2).** Dropped the `a1` alpha suffix on both sibling packages (`python/pyproject.toml`, `python/ruview-meta/pyproject.toml`) and flipped their trove classifier `Development Status :: 3 - Alpha` → `5 - Production/Stable`; the `ruview` meta-package's `wifi-densepose==2.0.0a1` dependency pins (base + `[client]`) were repointed to `==2.0.0`. **Version-metadata prep only — nothing is published by this change**: the actual PyPI upload remains gated on the ADR-117 v2 witness hash. Justified as "stable": the default (no-extras) wheel builds at 279 KB (`maturin build --release --strip`) and the base non-SOTA suite is green — `pytest python/tests/` (excluding the `[aether]`/`[meridian]`/`[mat]` extra modules) = **185 passed, 0 failed** (smoke / keypoint / pose / vitals / bfld / security / WS+MQTT client).
- **CI (ADR-184): `pip-release.yml` keeps token-based PyPI authentication until Trusted Publishing is registered.** An OIDC migration was attempted in `cc153e8b5` and reverted in `82d5c7339` so releases would not enter a half-configured state. Production currently uses `PYPI_API_TOKEN`; TestPyPI uses its independent `TESTPYPI_API_TOKEN`. The workflow now builds and publishes `wifi-densepose` and `ruview` together, verifies their versions and dependency pin match, and fails closed before production upload when `expected_features_v2.sha256` is absent.
- **`@ruvnet/rvagent` startup optimization — stdio time-to-first-response ~242 ms → ~189 ms (−22%; MEASURED, median of repeated `initialize` round-trips against `dist/index.js`, this container, reproduce with a piped-stdin timer).** Two changes: (1) `./http-transport.js` is now imported **lazily** inside the `RVAGENT_HTTP_PORT` branch — it chain-loads the MCP SDK's `streamableHttp` module (~48 ms MEASURED via per-module `import()` timing), which the default stdio path never uses; (2) the advertised JSON Schemas generated from the Zod sources are memoized per tool instead of re-walking the Zod tree on every `tools/list` (matters under the session-per-server HTTP model where each session lists tools). No behavior change: 99/99 jest tests, HTTP session flow re-smoke-tested through the lazy path. The `@ruvnet/ruview` harness CLI was profiled too and left alone — 50 ms vs the ~29 ms bare `node -e ''` floor on the same box (MEASURED), i.e. already near the interpreter floor with zero dependencies.
### Deprecated
- **`archive/v1` (the original pure-Python implementation) formally deprecated (ADR-187)** — commits `1fb5397dd`, `b1417fb6e`; refs #509, #1125. Added `archive/v1/DEPRECATED.md` (a loud tombstone) and a `> ⚠️ DEPRECATED` notice atop `archive/v1/README.md`, both pointing at the maintained `v2/` workspace and the `wifi-densepose 2.x` / `ruview` pip wheel (ADR-117). Records the honest fact behind #509:`archive/v1`'s `DensePoseHead` is **architecture-only** — random `kaiming_normal_` init with **zero committed checkpoints** under `archive/v1/` (MEASURED by Glob over `**/*.{pth,onnx,safetensors,pt,ckpt,bin}`). The ADR-028 deterministic proof `archive/v1/data/proof/verify.py` stays live and is explicitly out of scope. The same effort added a **"Model weights: what's real, what's not" three-tier table** to `README.md` + `docs/user-guide.md`, separating real-and-validated checkpoints (presence 82.3% held-out temporal-triplet, MM-Fi pose 82.69% torso-PCK@20, `count_v1`) from the real-but-weak on-device `pose_v1` (PCK@20 = 3.0%, runtime `confidence=0` stub, below the ADR-079 ≥35% target) from the architecture-only `archive/v1` head — and caveated every live single-ESP32 17-keypoint advertisement accordingly. Docs/labeling only; no code or model behavior changed.
### Fixed
- **Pose-vitals, desktop, and repository-integrity issue remediation.** Breathing confidence now measures periodic autocorrelation at the estimated respiratory frequency instead of penalizing clean sinusoidal signals via crest factor (#1610). The desktop launcher resolves the Windows `.exe`, uses `where` for PATH lookup, and passes log filtering through `RUST_LOG`; its React versions, Vite type declarations, and Tauri UI hook working directories are aligned (#1516, #1517, #1518). Runtime session secrets written from `v2/` are ignored, and contributor-harness provenance inputs are pinned to LF across Windows checkouts (#1519, #1520). With explicit owner authorization, the six raw CSI/person-data capture and metadata files identified by ADR-299 were removed from the current tree; historical copies remain pending separately coordinated incident response.
- **`docs/huggingface/MODEL_CARD.md` had drifted from the model card actually published on the Hub (issue #1481).** Every filename in its "Files in this repo" table (`pretrained-encoder.onnx`, `pretrained-heads.onnx`, `pretrained.rvf`, `room-profiles.json`) pointed at files never uploaded to `ruvnet/wifi-densepose-pretrained` — only `config.json` existed. Replaced the in-repo card with the content actually live on the Hub (`model.safetensors`, `model-q{2,4,8}.bin`, `node-{1,2}.json`, `presence-head.json`, `csi-embed-v2.*`, honest v1→v2 retraction of the single-class "100%" presence claim) and added a "Using with the Rust sensing server (RVF conversion)" section documenting the `--convert-model`/`--convert-out` and `--model` auto-convert paths that neither card previously mentioned.
- **`--convert-model` failed on the published `model.safetensors`: NUL-padded safetensors header rejected by strict JSON parse (issue #1480, #894 follow-up).** The reference safetensors format pads its JSON header to an 8-byte boundary with trailing NUL bytes; `safetensors_to_rvf` (`wifi-densepose-sensing-server/src/model_format.rs`) fed the full declared-length header slice straight to `serde_json::from_slice`, which rejects the padding as "trailing characters." Since the only published full-precision weight file exercises this padding, `--convert-model` could not convert it at all. Fixed by trimming trailing NUL/whitespace bytes before parsing. Pinned by `safetensors_nul_padded_header_converts` (a header padded to the 8-byte boundary, matching the real HF file, converts and round-trips its weights through `ProgressiveLoader`).
- **In-server training reconnected — "Start Training" no longer silently no-ops; `/ws/train/progress` streams real progress (ADR-186, issue #1233).** The dashboard's Start Training button POSTed a config, got `success:true`, and nothing happened: `/api/v1/train/start` was a stub that flipped a status string and logged one line, and `/ws/train/progress` 404'd. The full pure-Rust trainer in `training_api.rs` (loads recorded CSI, gradient-descent, exports a `.rvf`) already existed but was **orphaned** — never declared as a module (no `mod training_api;`), so it wasn't compiled at all. Fix (`wifi-densepose-sensing-server`): declared the module, reconciled `AppStateInner` (replaced the `training_status`/`training_config` stub fields with a shared `TrainingState` status handle + cooperative cancel flag + a `training_progress_tx` broadcast), deleted the stub handlers, and merged the real `training_api::routes()` (so `/api/v1/train/{start,stop,status,pretrain,lora}` and `/ws/train/progress` resolve under the existing `/api/v1/*` bearer gate). The training core was decoupled from the ~60-field server state so it is unit-testable. **P5 honesty guarantee:** with `RUVIEW_DISABLE_SERVER_TRAINING` set, start returns a structured `{enabled:false, cli:"wifi-densepose train-room"}` HTTP 409 — never a silent success — and the dashboard disables the Start buttons with a CLI tooltip (enablement is surfaced on `/api/v1/train/status`). Pinned by 8 new tests incl. a **live-socket** test that completes a genuine 101 WebSocket handshake and receives a real progress frame after a POST start, a full POST→poll-status→`.rvf`-exists round-trip, a path-traversal rejection, cancellation, and the disabled-409 path. `cargo test -p wifi-densepose-sensing-server -p wifi-densepose-train --no-default-features` — 0 failed.
- **FastAPI health/metrics endpoints event-loop starvation.** Calling `psutil.cpu_percent(interval=1)` blocked the single-threaded async event loop for 1.0 second on every health check or metrics collection tick, stalling all incoming requests and WebSocket operations. Fixed by changing `cpu_percent` to use non-blocking `interval=None` and offloading all blocking OS metrics gathering to background thread pools via `asyncio.to_thread`. Verified event loop responsiveness via concurrency regression tests.
- **EngineBridge now honors `WDP_GUARD_INTERVAL_US`/`WDP_SOFT_GUARD_US`/`WDP_TDM_SLOTS`+`WDP_TDM_SLOT_US`** (#1309, PR #1312, @erichkusuki). The governed trust path previously built its multistatic fuser from a hardcoded `MultistaticConfig::default()` (60 ms guard), so multi-node deployments with WiFi/ESP-NOW time sync (10–150 ms drift) failed every governed cycle regardless of configuration — while the startup log claimed the override took effect. New `StreamingEngine::set_multistatic_config()`; `EngineBridge::new()` takes an `Option<MultistaticConfig>` threaded from the same env-derived config as `AppState.multistatic_fuser`. Hardware-verified on a live 2-node ESP32-S3 setup (90 s window, 0 fusion errors; previously every cycle failed).
- **`/api/v1/stream/pose` WebSocket reachable with `RUVIEW_API_TOKEN` set + dashboard bearer-token field** (#1310, PR #1313, @erichkusuki). Browsers cannot attach an `Authorization` header to a WS upgrade, so the Live Demo pose stream always failed when auth was on; the path is now on a narrow exact-match exemption list (mirrors `/ws/sensing`), with a regression test pinning that the exemption doesn't leak to other `/api/v1/*` paths. The QuickSettings panel gains an "API Access" field storing the bearer token in `localStorage`; the token is applied at `api.service.js` module load so the very first request carries it.
- **Display-less DevKitC-1 boards: `sdkconfig.defaults.devkitc` build overlay** (#1308, PR #1311, @erichkusuki). The ADR-045 runtime display probe false-positives on stock ESP32-S3-DevKitC-1 (floating QSPI pins), which silently skipped the RuView#893 MGMT+DATA CSI upgrade and collapsed CSI yield to 0 pps. The overlay compiles display support out (`has_display` constant-false). Also fixes stale `espressif/idf:v5.2` README references to v5.4 (source requires `esp_driver_uart`, IDF ≥5.3). Hardware-verified on 2× DevKitC-1-N16R8 (0 → 40–45 pps).
- **ADR-263/264/265 implemented — the RuView npm surface fixed end-to-end (`@ruvnet/ruview@0.2.0`, `@ruvnet/rvagent@0.2.0`, `@ruv/ruview-cli`).** Harness (ADR-263 O1–O9): `claim-check` now **fails closed** on empty input (CLI exit 2 + `empty_text` tool error); the MCP stdio server dispatches `tools/call` asynchronously over promise-based `spawn` — `ping` answers while a long `verify`/`calibrate` runs (pinned by a new e2e test that runs a 3 s fake proof and asserts sub-second ping); the two `optionalDependencies` are gone so a cold `npx` installs exactly 1 package (MEASURED: was 4 packages / 620 kB / 71 files, `npm i` in a clean prefix); child output is captured as bounded rolling tails (no more 1 MiB `maxBuffer` kills); `node_monitor` passes the port via `sys.argv` instead of splicing it into `python -c` source; the MCP `serverInfo.version` reads package.json; `.claude/skills/*/SKILL.md` are generated from `skills/*.md` by a `prepack` sync script (byte-equality pinned by test); `which()` is a memoized dep-free PATH scan; tools are underscore-canonical (`ruview_claim_check`, …) with the dotted names accepted as call-time aliases, plus `resources/list`/`prompts/list` stubs; the guardrail's `METRIC_TERMS` matching is precision-fixed (word-boundary `map`/`f1`/`auc`/`iou`, code-span + label scrubbing, quantitative-claims-only) — ADR-263/264/265 and both package READMEs now PASS `claim-check` while real untagged claims still flag. 30/30 tests (MEASURED, `node --test`). rvagent (ADR-264 O1–O9): `exports` fixed (types-first, the never-built `dist/index.cjs``require` target removed — verified broken in the published 0.1.0 tarball); tarball is map-free (127,704 B unpacked / 46 files / 0 maps — MEASURED, `npm pack --dry-run`, down from 188 kB with 44 maps); the Streamable HTTP transport is **actually wired** behind `RVAGENT_HTTP_PORT` with one transport + one MCP server per session (`mcp-session-id` routing), a 1 MiB body cap (413), and a port-aware localhost origin gate — the "dual-transport" description is now true; tools renamed to underscore-canonical with dotted router aliases; ONE Zod validation gate per call with the advertised JSON Schema generated from the same Zod source (`zod-to-json-schema`); `train_count` closes its log fds (was leaking 2/job) and persists job records to `<jobsDir>/<id>.json` so `job_status` survives restarts, with bounded log-tail reads; `detectCogBinary` actually probes its candidate paths; version reads package.json; `@types/express` dropped, `@types/jest` aligned to jest 29; README rewritten to match reality (no phantom `stdio`/`http`/`policy grant` subcommands; unimplemented ADR-124 catalog tools labeled roadmap). 99/99 jest tests (MEASURED); stdio handshake + HTTP session flow + 403/400/404/413 gates smoke-tested live. CLI: bin renamed `ruview-cli` (the `ruview` bin belongs to `@ruvnet/ruview`, ADR-265 D4), version single-sourced. Distribution (ADR-265 D1–D4): new `npm-packages.yml` (3-package × Node 20/22 matrix: tests, version-literal grep gate, pack-content/size gate, tarball-install smoke test incl. the fail-closed claim-check and an ESM-import probe that would have caught the broken `require` export, README claim-check) and `ruview-npm-release.yml` (publish from CI only, `npm publish --provenance`); `ci.yml` NODE_VERSION 18→20.
- **Empty-room field-model calibration collected nothing on real HT40 nodes — raw 128-wide frames rejected by the 56-tone model (follow-up to the deadlock fix below).** Once the status-gate deadlock was fixed, `maybe_feed_calibration` reached `feed_calibration`, but a real ESP32 HT40 node streams 128-wide amplitude vectors while the single-link `FieldModel` is the canonical 56-tone grid — so `LinkStats::update` returned `DimensionMismatch`, `feed_calibration` bubbled the error, and `maybe_feed_calibration` swallowed it at `debug` level. Net effect: `frame_count` stayed pinned at 0 on live hardware even though presence/motion/vitals (which read the global history) worked fine. Fixed by resampling each frame onto the model's canonical 56-tone grid via `HardwareNormalizer::resample_to_canonical` before feeding — the same length-only canonicalization the multistatic fusion path uses (#1170). Pinned by `field_bridge::maybe_feed_calibration_resamples_wide_frames_and_accumulates` (128-wide frame → Collecting + count 1; fails on old code). Verified live on the ESP32-S3 deployment.
- **Empty-room field-model calibration could never start — `/api/v1/calibration/*` was a dead endpoint (frame count pinned at 0).**`POST /calibration/start` creates the `FieldModel` in `Uncalibrated`, but the per-frame server feed `field_bridge::maybe_feed_calibration` only fed observations while the model was **already**`Collecting` — and the *only* thing that sets `Collecting` is `feed_calibration` itself (on its first fed frame). The two gates deadlocked: nothing ever fed the first frame, so `calibration_frame_count` stayed 0, `status` never left `Uncalibrated`, and the SVD room eigenstructure (eigenvalue-based person counting / localization) could never calibrate — observed live as `{"status":"Uncalibrated","frame_count":0}` never advancing on a streaming ESP32 node. Fixed the guard to feed while `Uncalibrated | Collecting` so the first frame flips the model to `Collecting` and the count advances. Also made `calibration_stop` return a structured `{success:false, frame_count, frames_needed}` (with a new `FieldModel::min_calibration_frames()` accessor) instead of an opaque 500 when finalized before enough empty-room frames accumulate. Pinned by `field_bridge::maybe_feed_calibration_advances_uncalibrated_to_collecting` (asserts `Uncalibrated → Collecting` + count 0 → 1 → 2; fails on old code). Presence/motion/vitals were unaffected — they use the separate auto rolling baseline, not the field model.
- **Multistatic fusion never ran on a mixed-mode ESP32 mesh — live bridge fed raw, un-canonicalized per-node CSI to the fuser (#1170).**`node_frame_from_state` (`multistatic_bridge.rs`) wrapped each node's **raw** amplitude vector (HT20 ≈ 64 bins, HT40 ≈ 128/192) into a struct *named*`CanonicalCsiFrame` without ever resampling, so `MultistaticFuser::fuse` tripped `DimensionMismatch` on every cycle, silently fell back to per-node sum/dedup, and spun `total_engine_errors` unbounded. Added `HardwareNormalizer::resample_to_canonical` (resample-only, **no z-score** — preserves the amplitude scale the person-score's `variance/mean²` relies on) and run every node frame through it onto the canonical 56-tone grid before fusion. Heterogeneous meshes now fuse instead of erroring. Pinned by `heterogeneous_node_counts_canonicalize_and_fuse` (mixed 64/192 → fuses), `resample_to_canonical_is_length_only_no_zscore`, and an updated `test_node_frame_conversion`; the pre-existing `engine_bridge::observe_cycle_counts_engine_errors` was retargeted to force a `TimestampMismatch` (its old 56-vs-30 setup now canonicalizes cleanly). `wifi-densepose-signal` 501 / `wifi-densepose-sensing-server` 677 tests, 0 failed.
- **`csi_fps_ema` reported the CSI frame rate 40–840× too high under bursty UDP delivery (#1180).** `update_csi_fps_ema` only rejected deltas `≤ 0` or `≥ 1 s`, so a 36 µs intra-burst arrival delta yielded `1/dt ≈ 27 kHz` straight into the EMA — the metric measured server arrival jitter, not the node's ~40 fps production rate. Added a `MIN_PLAUSIBLE_CSI_DT_SEC = 0.005` floor (derived from the firmware's 50 fps `CSI_MIN_SEND_INTERVAL_US` ceiling, ×4 slack) and made `observe_csi_frame_arrival` keep its anchor across sub-floor bursts so the next genuine inter-frame gap measures true cadence. Pinned by `subms_burst_delta_rejected`, `burst_interleaved_with_nominal_stays_in_band`, and `observe_csi_frame_arrival_ignores_subms_bursts`.
- **`stream_sender` ENOMEM backoff starved low-rate control packets under a weak uplink (#1183, follow-up to #1135/#1159).** The global `s_backoff_until_us` gate (triggered by the 50 Hz CSI flood at weak RSSI) also suppressed the ≤48 B, ≤1 Hz `feature_state` / mesh `HEALTH` / sync packets that contribute negligible buffer pressure, so telemetry failed essentially every cycle. Added `stream_sender_send_priority()` — bypasses the backoff gate, reports ENOMEM quietly, and never extends/resets the global streak — and routed `feature_state`, HEALTH/anomaly (`rv_mesh_send`), and sync packets through it. Also fixed the misleading `"HEALTH sent"` log that printed unconditionally even when `rv_mesh_send` returned `ESP_FAIL` (now prints `sent`/`FAILED` from the actual return). Firmware builds clean (ESP-IDF v5.4).
- **Multistatic fusion guard interval is now operator-configurable — fixes permanent trust demotion with WiFi-synced ESP32 nodes (#1049).** Two independently-clocked ESP32-S3 boards on ESP-NOW sync drift 10–150 ms (typ. ~70 ms) — the 100 ms beacon + WiFi-MAC jitter cannot hold them within the published 60 ms default guard, so the governed-trust cycle permanently demoted to `Restricted`, suppressed all pose output, and spun the error counter to 200k+ with **no escape hatch but a container restart**. Added a **direct `WDP_GUARD_INTERVAL_US` override** (+ optional `WDP_SOFT_GUARD_US`) to `multistatic_guard_config_from_env`, so a deployment can lift the hard guard past its measured spread (e.g. `WDP_GUARD_INTERVAL_US=200000`) without having to know its exact TDM schedule. Precedence is most-specific-wins: a direct override beats the existing `WDP_TDM_SLOTS`+`WDP_TDM_SLOT_US` schedule-derived guard, which beats the 60 ms/20 ms default; the override is applied on top of whichever base is selected, the soft band is always clamped strictly below the hard guard, and a malformed/zero value is ignored (falls back to the base rather than breaking fusion). The effective guard is now logged at startup. Pinned by 6 new tests (`multistatic_guard_config_tests`): direct-override-wins / beats-TDM-derived / soft-clamped-below-hard / lowering-hard-pulls-soft-down / malformed-or-zero-falls-back / default-when-unset. `wifi-densepose-sensing-server` bin tests **449 → 455**, 0 failed; Python proof VERDICT PASS, hash unchanged (off the signal proof path).
### Security
- **`wifi-densepose-occworld-candle` — beyond-SOTA security + correctness review (Milestone #9, crate 4/4).** (1) **HIGH (MEASURED) — checkpoint-load crash on any int32 tensor** (`model.rs::safetensor_dtype_to_candle`). `safetensors::Dtype::I32` was mapped to `candle_core::DType::I64` and the raw int32 byte buffer (4 bytes/elem) was then handed to `Tensor::from_raw_buffer(.., I64, shape, ..)`. Candle derives `elem_count = data.len() / dtype.size_in_bytes()`, so the I64 path halved the element count while keeping the *original* shape — yielding a tensor whose declared shape claims twice as many elements as its backing storage holds. Reading it **panics** (`range end index 6 out of range for slice of length 3` — slice OOB inside candle-core) on any attacker-supplied or PyTorch-exported checkpoint containing an int32 tensor (common: index/buffer tensors). Fixed by mapping `I32 → DType::I32` (and `I16 → DType::I16`), both first-class candle dtypes. Reproduction recorded on old code; pinned by `tests/checkpoint_loading.rs::int32_tensor_loads_with_consistent_shape_and_values` (panics on old, passes on new) plus F32/I64/corrupt-file control cases. (2) **LOW (MEASURED) — `predict()` lacked frame/batch validation at the input boundary** (`inference.rs`). It validated H/W/D but not the externally-supplied frame count; an `f_in > num_frames*2` over-indexed the temporal positional embedding deep in the transformer and surfaced as a cryptic candle "gather" `InvalidIndex` (returned error, not a panic — candle bounds-checks), and a zero frame/batch dim fed a zero-element tensor into the pipeline. Now rejected at the boundary with a clear `ShapeMismatch`. Pinned by `predict_rejects_zero_frames` / `predict_rejects_too_many_frames` / `predict_accepts_frame_count_at_capacity`. (3) **LOW (MEASURED) — divide-by-zero panic on a degenerate input to the public `VQCodebook::encode`** (`vqvae.rs`): a rank-0 / empty-last-dim tensor made `last == 0` and panicked on `elem_count() / last`. Now fails closed with a clear error. Pinned by `encode_rejects_scalar_without_panicking`. **Dimensions confirmed CLEAN with evidence:** panic surface — zero `unwrap()`/`expect()`/`panic!`/`unreachable!` in production code paths (grep evidence; all error handling via `?`/`map_err`); NaN-state-poisoning — N/A (engine is stateless between `predict` calls, input is `u8` class indices so non-finite input is structurally impossible, no persistent world-model buffer to latch into); unbounded-alloc / shape-data mismatch from malformed weights — defended upstream by `safetensors::validate()` (overflow-checked `nelements*dtype.size()` vs declared byte range, rejected before reaching candle); secrets — none (grep clean, only `token_h`/`token_w` config fields match). `unsafe_code = forbid` in the crate manifest. **Build/validation status (MEASURED on Windows):** crate builds and tests under `cargo test -p wifi-densepose-occworld-candle --no-default-features` — **29/29 pass** (20 unit + 4 checkpoint_loading + 3 predict_honesty + 2 doc) after fixes; `cargo test --workspace --no-default-features` = 0 failed across all crates (lone `wifi-densepose-desktop``api_integration` failure was a Windows "Access is denied (os error 5)" file-lock flake — re-ran in isolation **21/21 pass**); Python proof VERDICT PASS, hash `f8e76f21…446f7a` unchanged. *Warrants ADR slot 179 (parent to author).*
- **`wifi-densepose-wasm-edge` beyond-SOTA closing review — boundary NaN-state-poisoning guard + clean-with-evidence attestation (ADR-040 edge crate, ~70 modules).** Closing pass of the security campaign over the last untouched sizeable crate. **One real finding fixed (LOW / source-analysis + reproduced):** the two WASM↔host frame boundaries (`lib.rs::on_frame`/`on_timer` and `bin/ghost_hunter.rs::on_frame`) read raw IEEE-754 `f32` from the `csi_get_phase`/`csi_get_amplitude`/`csi_get_variance`/`csi_get_motion_energy` host imports **without any finiteness check** — the entire crate had **zero**`is_finite`/`is_nan` guards, and the in-crate `clamp` helpers propagate NaN (`NaN < lo` and `NaN > hi` are both false). A single non-finite value (firmware DSP bug, uninitialised buffer, or hostile host) latches NaN into the long-lived per-module accumulators (EMA, Welford, phasor sums, anomaly baselines); once latched, every downstream comparison evaluates `false`, so detectors fail **degraded** (stuck gate state, silently-disabled anomaly checks) — silent corruption, not a crash (WASM `panic=abort` is *not* tripped: no indexing/`unwrap` on the poisoned value). Threat model is a **semi-trusted** boundary (the Tier-2 DSP firmware supplies the imports, not direct network/JS), hence LOW severity / defense-in-depth. **Fix:** added `sanitize_host_f32()` (maps non-finite→`0.0`, `core`-only so it holds in `no_std`) applied at every `host_get_*` float read — a single chokepoint covering all ~70 downstream modules, mirroring the existing M-01 negative-`n_subcarriers` boundary clamp. **Pinned by**`boundary_tests::{sanitize_passes_finite_values_through, sanitize_maps_non_finite_to_zero, coherence_monitor_nan_latches_without_sanitize_but_not_with}` — the last asserts on the *current*`CoherenceMonitor` that a raw NaN frame latches the smoothed score (documents the hazard) while the boundary-sanitized path stays finite. **Dimensions attested CLEAN with evidence (source-analysis):** (a) **panic-on-input** — every non-test `unwrap()`/`expect()` is either `#[cfg(test)]` or in the `std`-gated RVF *builder* host tool writing to an in-memory `Vec` (infallible); no `panic!`/`unreachable!`/`todo!`/`get_unchecked` in any hot path. (b) **shape/bounds** — all frame-buffer access is `min()`-clamped (`MAX_SC=32`, `DTW_MAX_LEN`, `LCS_WINDOW`, `PATTERN_LEN`), all index-by-cast sites (`feature_id as usize`, `conclusion_id`, `minute_counter`, `plan_step`) are either compile-time-const-bounded or `if idx <`/`%`-guarded; negative `n_subcarriers` already mapped to 0 (M-01). (c) **memory/leak** — no `move ||` closures, no `mem::forget`/`Box::leak`/`.leak()`; the only `Box::new` is in the `std`-gated `skill_registry` (one-time init, bounded). (d) **secrets** — none (grep clean). **MEASURED build/test evidence:** host `cargo test --features std,medical-experimental` = **672 passed / 0 failed** (was 669 pre-fix; +3 new tests); the real deployment artifacts all build clean on the actual target — `cargo build --target wasm32-unknown-unknown --release` (no_std/panic=abort default lib), `--bin ghost_hunter --no-default-features --features standalone-bin`, and `--features medical-experimental` (toolchain 1.89 per `rust-toolchain.toml`). No ADR slot needed — a single LOW defense-in-depth boundary fix; CHANGELOG attestation suffices.
- **ADR-131 HOMECORE-UI BFF gateway — public-PR review fixes (PR #1082).** (1) **HIGH — path-traversal / confused-deputy SSRF closed in the `/api/cal/*` reverse-proxy** (`homecore-server/src/gateway.rs`). The wildcard proxy path was interpolated straight into the upstream URL while `proxy()` attaches the server-side calibration bearer, so `/api/cal/v1/../../x` (and percent-encoded `..%2f`, `%2e%2e`, leading `/`, backslash, double-encoded `%252e`) could escape the `…/api/` scope **with the privileged token**. Now `validate_proxy_path()` decode-then-checks and rejects absolute/backslash/dot-segment/encoded-traversal paths with a typed **400 BEFORE the URL is built** (applies to GET **and** POST); legit `v1/...` paths still pass. Pinned by `cal_proxy_rejects_traversal_with_400_before_upstream` (fails on old code) + `validate_proxy_path_rejects_traversal_variants`. (2) **CORS + request-tracing now cover the gateway routes.**`/api/homecore/*` and `/api/cal/*` were `.merge()`d **outside** the layers `homecore-api::router()` applies, leaving them with no CORS allowlist and untraced; the audited `build_cors_layer()` (HC-05) + `TraceLayer` are now applied to the whole merged surface in `main.rs`. Pinned by `gateway_routes_are_cors_covered_after_merge` (Vite-dev-origin preflight succeeds on a gateway route). (3) **Fabricated-data honesty (§6 invariant 3):** the gateway no longer injects a hardcoded `anomaly.threshold: 0.5` — it passes through the REAL upstream threshold or emits `null` (withheld); the dashboard renders a not-available `—` instead of `"null%"`/`"null°C"` for null appliance metrics; the COG panel's Hailo-worker pill reflects the real appliance probe instead of a hardcoded `"connected"`; `rooms.js` treats a null anomaly threshold as withheld, not a fake `0.8` default. (4) **Robustness:** a forwarded `hef` that is a string (not an array) no longer throws in the COG panel; the calibration wizard guards `frames/target` against `NaN%`/`Infinity%` and clears its baseline poll timer on Restart / panel teardown (leaked `setTimeout` loop fixed). (5) **Perf:** per-bank RoomState fetches and the appliance service probes now run concurrently (`futures::join_all`; async `tokio::net::TcpStream` + `timeout` replaces the blocking `connect_timeout` that parked a worker per probe); the mock fixture module is now a dynamic `import()` gated on demo mode so production never bundles it. **Note (workspace-wide, not fixed here):**`homecore-server` requests `reqwest`'s `rustls-tls` only, but cargo feature-unification means a sibling crate enabling the default `native-tls` re-introduces OpenSSL into the final binary regardless — a true "no OpenSSL on the appliance" guarantee requires aligning every reqwest-pulling crate on rustls-only. **Note (pre-existing, out of scope):** DEV-mode `allow_any_non_empty()` bearer auth when `HOMECORE_TOKENS` is unset on `0.0.0.0` is unchanged; the loud `warn!` at boot is retained — provision real tokens before network exposure. **Verified:**`cargo test -p homecore-server --no-default-features` = **18/18 pass**, `cargo build -p homecore-server` clean, UI suite (`node tests`) all green, Python proof VERDICT PASS (hash unchanged).
- **`wifi-densepose-desktop` (Tauri v2 desktop app) beyond-SOTA security review (needs ADR slot 178) — one real IPC serial-command-injection fix + one over-broad shell-capability removal, each MEASURED on Windows; remaining IPC/path/secret dimensions confirmed clean with evidence.** Beyond-SOTA review of the Tauri desktop crate (the real attack surface is the webview→Rust IPC boundary + the capability allowlist). The crate **builds + tests on this Windows box** (`cargo check`/`cargo test -p wifi-densepose-desktop --no-default-features` — Tauri 2.10 + GTK-less Windows webview2 path), so both findings are **MEASURED**, not source-analysis. **WDP-DESK-01 (serial command injection via `configure_esp32_wifi`, MODERATE) — FIXED.** The `#[tauri::command] configure_esp32_wifi(port, ssid, password)` handler took `ssid`/`password` straight from the webview and concatenated them into newline-terminated serial commands (`format!("wifi_config {} {}\r\n", ssid, password)`, `set ssid {}\r\n`, …) with **zero validation** before writing them to the ESP32 over the line-oriented serial protocol. A `\r\n` embedded in either field lets a malicious/compromised webview **terminate the command line early and inject an arbitrary follow-up firmware command** (`reboot`, `erase_nvs`, etc.) — a command-injection-into-device-protocol crossing the IPC trust boundary. Ironic note: the crate already shipped `test_wifi_credentials_validation` documenting the WPA2 length bounds, but the handler never enforced them. **Fix:** a new `validate_wifi_credentials(ssid, password)` rejects out-of-range lengths (SSID 1-32, password 8-63 — WPA2 PSK bounds) **and any control character** (`char::is_control()` catches `\r`/`\n`/NUL), called at the top of the handler before any serial write — fail-closed (`Err` → no bytes sent). Pinned fails-on-old / passes-on-new by `test_validate_wifi_credentials_rejects_injection` (`"net\r\nreboot"`, `"net\ninjected"`, `"pass\r\nerase_nvs"`, embedded NUL — all rejected; would splice into the command stream pre-fix), `test_validate_wifi_credentials_rejects_out_of_range`, and `test_validate_wifi_credentials_accepts_valid` (boundary 32-char SSID / 8- and 63-char passwords still accepted). **WDP-DESK-02 (over-broad shell capability, MODERATE) — REMOVED.**`capabilities/default.json` granted the webview `shell:allow-execute` + `shell:allow-open`, but the Rust backend spawns every process via `std::process::Command` directly (espflash/which/sensing-server — which **bypasses** the Tauri allowlist entirely) and the React UI only ever calls `dialog.open` (file picker) — verified by grep: `tauri_plugin_shell` is `init()`-ed but its `Command`/`open` API is **never invoked from Rust or TS**. The two `shell:` permissions were therefore unused privilege: a webview compromise (e.g. XSS in a UI dep) would have gained **arbitrary host command execution** via `shell.execute` with no scope restriction (no `shell` scope object was even defined). **Fix:** removed both `shell:` permissions from the capability (kept `core:default` + the two `dialog:` perms the UI actually uses). MEASURED: the build-regenerated `gen/schemas/capabilities.json` now reads `"permissions":["core:default","dialog:allow-open","dialog:allow-save"]` (shell perms gone), and the crate still builds + all tests pass — confirming nothing depended on the granted shell scope. (Plugin `init()` + the npm dep left in place to keep the blast radius minimal and avoid touching the off-limits generated ACL manifests; with no permission granted the plugin is inert.) **Dimensions confirmed clean (with evidence):** (1) **No directory-traversal / arbitrary-file primitive crossing the boundary** — the path-taking commands (`flash_firmware`/`verify_firmware`/`ota_update`/`wasm_upload`/`provision_*`) pass the webview-supplied path to `std::fs`/`espflash` to **read a firmware/wasm blob the local user themselves selected via the `dialog.open` native picker**; there is no command that *writes* to or *reads back* an arbitrary attacker-named path to the webview — `settings` read/write is confined to `app_data_dir().join("settings.json")` (fixed filename, no user path component), so no traversal sink exists. (2) **No shell-string interpolation** — every subprocess uses `Command::new(prog).args([...])` (argv vector, no shell), so the `port`/`source`/`chip`/`baud` args cannot inject a second command even though they are unvalidated (the `source` value flows only as a single `--source <value>` argv element). (3) **No SSRF-to-secret** — the `node_ip`-built URLs (`http://{ip}:8032/...`) target the local ESP32 mesh and return only device status; no credential is returned to the webview. (4) **Panic-on-input** — handlers use `.map_err(|e| e.to_string())?` throughout; the one `srv.pid.expect(...)` in `server_status` is guarded by an explicit `is_none()` early-return on the line above (unreachable), and the discovery/provision deserializers bounds-check before everyLine truncated
- **`ruview-swarm` beyond-SOTA security + correctness review (ADR-148 drone swarm control plane; needs ADR slot 176) — 4 real fail-open / DoS bugs fixed in the NaN-state-poisoning class, each pinned fails-on-old / passes-on-new; 5 dimensions confirmed clean with evidence.** The shared theme is **IEEE-754 NaN/Inf silently defeating a safety comparison** on data that crosses the untrusted swarm-comm trust boundary (`SwarmOrchestrator::receive_peer_state` / `receive_peer_detection` accept full `DroneState`/`CsiDetection` whose f64/f32 fields deserialize with no finite-check; the integer-encoded MAVLink wire formats in `mavlink_messages.rs` cannot carry NaN, but the serde struct path can). **(1) HIGH — `failsafe::FailSafeMachine::tick` collision-avoidance + battery fail-open** (`failsafe/mod.rs:51,75`). `nearest_neighbor_dist < collision_dist_m` and `battery_pct <= rth_pct` both evaluate `false` for a NaN operand, so a poisoned peer position (→ NaN `nearest_peer_distance` via `Position3D::distance_to`) **silently disabled collision avoidance** and a NaN battery reading kept a drone Nominal — the worst failure for a physical airframe. Fixed to fail CLOSED (`!is_finite() ||` → `EmergencyDiverge` / `ReturnToHome`). MEASURED fails-on-old: `test_nan_neighbor_distance_fails_closed_to_diverge` / `test_nan_battery_fails_closed_to_rth` both returned `Nominal` pre-fix. **(2) MEDIUM — `security::geofence::Geofence::check` NaN-altitude bypass** (`security/geofence.rs:33`). A NaN `z` (altitude) with valid x/y skipped the altitude breach (`NaN < min || NaN > max` = `false`) and returned **`Safe`** through the point-in-polygon path — a silent geofence bypass. Fixed with a leading non-finite-coordinate → `HardBreach` guard. MEASURED fails-on-old: `test_nan_altitude_fails_closed` returned `Safe` pre-fix. **(3) MEDIUM/DoS — `security::antijamming::FhssRadio``% 0` panic on empty `channels_mhz`** (`security/antijamming.rs:65,71,102`). `FhssConfig` is `Deserialize`; an empty channel list (malformed/hostile config) made `next_hop`/`current_channel_mhz`/`evasive_hop`/`tick` panic with `remainder with a divisor of zero`, crashing the radio task. Fixed with `len == 0` early-returns (benign `0.0` sentinel). MEASURED fails-on-old: `test_empty_channels_does_not_panic`**panicked** (`divisor of zero`) pre-fix. **(4) LOW — `sensing::multiview::MultiViewFusion::fuse` NaN victim-position propagation** (`sensing/multiview.rs:70`). A NaN `victim_position` passed the `is_some()` filter and propagated through the confidence-weighted average into the fused "confirmed victim" location dispatched to the swarm. Fixed by requiring finite `confidence` + finite position components (fail-closed drop). MEASURED fails-on-old: `test_nan_victim_position_dropped_from_fusion` produced a non-finite fused position pre-fix. **Dimensions confirmed clean (with evidence):** (a) **MAVLink decode panic-safety** — `SwarmNodeState::decode(&[u8;20])``try_into().unwrap()`s are over fixed const ranges of a fixed-size array (provably infallible; no arbitrary-length `&[u8]` path exists). (b) **UWB GPS anti-spoofing is NaN-safe** — `(gps_dist - uwb_dist).abs() <= tol` already fails CLOSED on a NaN range/position (counts as inconsistent → spoof rejected), verified by reasoning + existing `test_spoofed_gps_invalid`. (c) **Bounded grid / no allocation-from-length-field** — `ProbabilityGrid::update_bayesian`/`mark_scanned` bounds-check `cx >= width || cy >= height`; `pos_to_cell` uses saturating `as u32` (Rust `as` saturates, no UB). (d) **Mesh `nearest_k` NaN-safe sort** — `partial_cmp(..).unwrap_or(Equal)` cannot panic on NaN distances. (e) **No hardcoded secrets** — `MavlinkSigner` key is constructor-injected (`[u8;32]`), nothing embedded. **Documented-not-fixed (for ADR-176, not churned to avoid test-rewrite risk):** (i) **Raft `AppendEntries` lacks the Log-Matching consistency check** (`topology/raft.rs:187`) — a follower appends leader entries on `term >= current_term` without validating `prev_log_index`/`prev_log_term`, so a malformed/byzantine leader can corrupt a follower's log (a genuine consensus-safety gap; vote tallying is also delegated to the caller per the existing `handle_message` comment). (ii) **`MavlinkSigner::verify` uses a non-constant-time tag `==` and has no replay/timestamp-window rejection** (`security/mavlink_signing.rs:64`) — the doc comment already flags the replay limitation as a known demo/test simplification. `cargo test -p ruview-swarm --no-default-features`: **117 → 123 passed, 0 failed** (+6 pins). Workspace green; Python deterministic proof unchanged (`f8e76f21a0f9852b70b6d9dd5318239f6b20cbcb4cdd995863263cecdc446f7a`, bit-exact — `ruview-swarm` is off the signal proof path).
- **`nvsim` (ADR-089 NV-diamond magnetometer simulator) beyond-SOTA security review — two real degenerate-input findings fixed (config-induced panic/DoS + NaN-state-poisoning silent-corruption), each pinned by a fails-on-old test; determinism integrity, panic-free deserialisation, and RNG-seeding confirmed clean with evidence. Needs ADR slot 177.** Beyond-SOTA review of the standalone WASM-ready forward-only pipeline (`scene → source → propagation → NV ensemble → digitiser → MagFrame + SHA-256 witness`). The real risk surface is degenerate physical-parameter input (the scene + config are the external boundary, especially via the WASM `config_json`/`scene_json` entry points). **Finding 1 — NVSIM-DT-01 (config-induced panic / DoS, MEDIUM; `pipeline.rs:58,95`).**`dt` was derived as `config.dt_s.unwrap_or(1.0 / f_s_hz)`; an externally-supplied `f_s_hz == 0.0` makes `dt == +Inf`, `(dt*1e6) as u64` saturates to `u64::MAX`, and `(sample as u64) * dt_us` then **panics `attempt to multiply with overflow`** for `sample >= 2` (MEASURED: probe panicked at `pipeline.rs:95:30` under the debug/test profile; in `panic=abort` WASM this aborts the module, in release it silently wraps `t_us` to garbage). **Fixed** by sanitising `dt` (non-finite/non-positive → 1 µs fallback), capping the `u64` cast at `u64::MAX`, and using `saturating_mul` for the timestamp so no config can ever overflow it. **Finding 2 — NVSIM-NAN-01 (NaN-state-poisoning silent corruption, MEDIUM; funnel at `digitiser.rs::adc_quantise`).** A non-finite scene parameter (e.g. a `NaN`/`Inf` dipole **position**, `Inf`**moment**, or `NaN` loop **radius**) flows through `scene_field_at` and **bypasses the near-field clamp** — `NaN < R_MIN_M` is `false`, so the `1/r³` path is taken and produces a `NaN`/`Inf` field (MEASURED: `b=[NaN,NaN,NaN], sat=false`). At the ADC that non-finite value hit the `else` branch and **`NaN as i32 == 0`** (Rust saturating cast), emitting a frame with `b_pt=[0,0,0]` and **the `ADC_SATURATED` flag CLEAR** — a frame *indistinguishable from a legitimate zero-field reading* (MEASURED: `b_pt=[0.0,0.0,0.0] flags=0b0000`). This is the same NaN-poisoning class flagged across the calibration/vitals crates; the `propagation` module already guards its NaN paths, but the source→ADC path did not. **Fixed** at the single funnel point: `adc_quantise` now treats any non-finite input as out-of-range → clamps to code `0`**and raises the saturation flag**, so the corruption is visible downstream (the pipeline's existing `adc_sat` OR-reduction propagates `ADC_SATURATED` onto the frame). **Dimensions confirmed clean (with evidence):** (1) **Determinism integrity — clean.** The only RNG is `ChaCha20Rng::seed_from_u64(seed)` fully seeded from the caller's `u64` (grep: one `seed_from_u64`, zero `thread_rng`/`getrandom`/`SystemTime`/`Instant`/`HashMap`); Cargo.toml pins `rand`/`rand_chacha` with `default-features=false` (no OS-entropy path). Box–Muller draws from `gen_range(f64::EPSILON..=1.0)` (avoids `ln(0) = -Inf` by construction). Frame serialisation is fixed little-endian; source summation order is fixed by `Vec` order. The published cross-machine witness `cc8de9b0…93b4` (`proof::tests::proof_witness_publishes_a_known_value`) **still passes unchanged** after both fixes — the happy-path output is byte-identical, confirming the guards only affect degenerate inputs. (Attested caveat, not a finding: libm `cos`/`ln`/`sqrt`*could* differ x86↔wasm; witness is documented as x86_64-captured.) (2) **Panic-free deserialisation — clean.**`MagFrame::from_bytes` validates `len`/magic/version, then the per-field `buf[a..b].try_into().expect(...)` calls are over **fixed sub-ranges of an already-length-checked 60-byte buffer** → provably infallible, not reachable panic vectors. No `unsafe`, no `panic!`/`unreachable!` in production code; every other `unwrap`/`expect` is `#[cfg(test)]`. (3) **Div-by-zero — clean.**`dipole_field`/`current_loop_field` clamp `r_norm < R_MIN_M` (1 mm) before the `1/r³`/`1/r²` divide (finite inputs); `shot_noise_floor` guards `denom <= 0.0 → f64::INFINITY`; `vec3_normalise` guards `n < 1e-20`. (The only gap was the NaN case that *bypasses* the `r_norm` clamp — fixed at the ADC funnel above.) **Pinning tests (fails-on-old / passes-on-new, MEASURED):**`pipeline::degenerate_zero_sample_rate_does_not_panic` (panicked on old code; now finite frames), `pipeline::non_finite_scene_input_flags_frame_instead_of_silently_zeroing` (old: `flags=0b0000`; now `ADC_SATURATED` set, `b_pt` finite), `digitiser::adc_quantise_flags_non_finite_as_saturated` (old: `(0,false)` for NaN; now `(0,true)`). `cargo test -p nvsim --no-default-features`: **50 → 53 passed, 0 failed**. Workspace green; Python deterministic proof unchanged (`f8e76f21…46f7a`, bit-exact — nvsim is off the signal proof path). Needs ADR slot 177.
- **`wifi-densepose-core` + `wifi-densepose-cli` beyond-SOTA security review (ADR-127 note; CLI needs ADR slot) — NaN-state-poisoning bug class does NOT originate in core (verdict: no + evidence); both crates confirmed clean on all reviewed dimensions; 4 regression pins added locking in two real DoS guards.** **Load-bearing question — verdict NO (with evidence, MEASURED).** The NaN-state-poisoning class that hit `wifi-densepose-calibration`/`-vitals`/`-geo` (a non-finite input latching into a persistent IIR/Welford/von-Mises/voxel accumulator → silent permanent feature failure) does **not** live in a shared `wifi-densepose-core` primitive: core exposes **no stateful accumulator at all** — no Welford/running-mean, no von-Mises/circular-mean, no IIR/biquad filter state, no voxel grid. Grep over `core/src` for `welford|von_mises|biquad|y1|y2|running_mean|accumulat|voxel|self.*+=` matched only the `InvalidState`*error* enum, "reset state" doc comments, and a test-only LCG — zero stateful logic (MEASURED). Each downstream crate rolls its own accumulator, so each fix is correctly local; corroborated by `wifi-densepose-calibration::Features::from_series`, which **already** filters non-finite samples and returns `Features::ZERO` (the downstream re-implementation of the fix). The only float math in core's hot path is construction-time projection (`CsiFrame::new` → `amplitude`/`phase` via `mapv`) and pure stateless `utils` functions — none persists state across frames. **Dimensions confirmed clean (with evidence):** (1) **panic-on-adversarial-input = 0** — `CsiFrame::from_canonical_bytes` (the replay/forward deserialisation boundary) returns a typed `CanonicalDecodeError` for every malformed input (truncation, bad discriminant, non-UTF-8 device id, nonzero reserved bytes, shape/payload mismatch, trailing bytes); the CLI UDP parser `parse_csi_packet` (the widest CLI attack surface — bound to `0.0.0.0` by default) returns `None` on any malformed datagram. Both proven panic-free over deterministic-LCG fuzz sweeps (new pins). (2) **`Confidence::new` rejects NaN** (`!(0.0..=1.0).contains(&NaN)` ⇒ `true` ⇒ `Err`); `compute_bounding_box`/`to_flat_array` are NaN-tolerant (f32 `min`/`max` ignore NaN). (3) **`amplitude_variance`/`mean_amplitude` panic-free on empty frames** — ndarray 0.17 `var(0.0)`/`mean()` return finite/`None` (handled), not a panic (MEASURED via throwaway probe). (4) **Unbounded-memory DoS bounded** in both deserialisers: `from_canonical_bytes` guards the `Vec::with_capacity(rows*cols)` with `rows.saturating_mul(cols).saturating_mul(16) <= bytes.len()`; `parse_csi_packet` guards `Array2::zeros` with `buf.len() < 20 + n_pairs*2` — a header lying about an enormous `rows×cols` / `n_antennas×n_subcarriers` is rejected before allocation. (5) **CLI path-traversal** in `calibrate-serve` already defended by `sanitize_room_id` (keeps `[A-Za-z0-9_-]`, caps 64 chars, with tests) on every client-supplied `room_id`/`bank`/`baseline` name that reaches a file path; bearer-auth gate + non-loopback-bind warning present. (6) **No hardcoded secrets** (`--token` read from `CALIBRATE_TOKEN` env, never embedded). **Regression pins added (fails-on-old / passes-on-new):** core `canonical_decode_oversized_shape_is_bounded_not_allocated` (MEASURED: with the saturating guard removed it panics `capacity overflow` at `types.rs:801`; passes with the guard) and `canonical_decode_never_panics_on_arbitrary_bytes`; CLI `test_parse_csi_packet_oversized_claim_is_rejected_not_allocated` (a 255×65535-pair claim ≈ 33 MB in a 2 KB datagram → `None`, never OOMs) and `test_parse_csi_packet_never_panics_on_arbitrary_bytes`. `cargo test -p wifi-densepose-core`: **35 → 37** lib tests, 0 failed; `cargo test -p wifi-densepose-cli --no-default-features`: **24 → 26**, 0 failed. Workspace green; Python deterministic proof unchanged (`f8e76f21…46f7a`, bit-exact — core/cli are off the signal proof path). No production code changed — review is clean-with-evidence plus pins.
- **`homecore` foundational state-machine review (ADR-127) — one real concurrency bug fixed (state-set TOCTOU dropping/reordering `state_changed` events) + two hardening fixes (entity_id memory-DoS, service-handler panic isolation), each pinned by a fails-on-old test; event-bus lag & lock discipline confirmed clean with evidence.** Beyond-SOTA security+concurrency review of the crate every other HOMECORE module builds on (state store `state.rs`, event bus `bus.rs`, service/entity registries, the `HomeCore` coordinator), un-covered by the ADR-154–159 sweep — a bug here is high-blast-radius. **HC-RACE-01 (state-set TOCTOU, the crux — race/lost-event).**`StateMachine::set` did `get()` (releasing the DashMap shard lock) → compute the next snapshot + the no-op/`last_changed` decision → `insert()` (re-acquiring the lock) → `send()`; the read-modify-write was **not atomic** w.r.t. a concurrent writer on the same entity, contradicting ADR-127 §2.1's promise that "the writer atomically replaces the map entry." A writer that read a **stale `old`** could mis-classify a genuine transition as a no-op and **silently drop its `state_changed` event** (a missed automation trigger) or fire an event whose `new_state` duplicated the previously delivered one (a spurious trigger for any automation keyed on `old_state != new_state`). **Fixed** by holding the shard write-lock across the whole read→decide→insert→fire sequence via `entry()`/`insert_entry()` — `tx.send` is non-blocking, non-async, and never re-enters the map, so firing under the shard lock cannot deadlock and keeps global event order in lock-step with global commit order. Pinned by `concurrent_set_fires_no_duplicate_adjacent_events` (4 writers toggling one entity A/B; asserts no two consecutive fired events carry an identical `new_state` — impossible under correct serialisation; an instrumented probe observed ~93k such duplicate-adjacent events across 200 trials on the racy code, **zero** on the fix; the test fails reliably on the first trial pre-fix). **HC-EID-LEN-01 (unbounded `entity_id`, memory-DoS).**`homecore-api/src/rest.rs` parses untrusted REST path segments straight through `EntityId::parse`; with no length cap an otherwise-valid id (`a.` + many MB of `[a-z0-9_]`) was accepted, and a `POST /api/states/<giant>` would persist it into the DashMap state store (permanent growth across distinct ids). **Fixed** by rejecting ids longer than `MAX_ENTITY_ID_LEN` (255, HA-compatible) up front in `parse()`, before any per-char scan, with a new `EntityIdError::TooLong` — fail-closed at the boundary type protects every caller (REST, registry deserialize, automation). Pinned by `entity_id_length_boundary` (exactly-MAX accepted; MAX+1 and a 4 MiB id rejected — oversized parses `Ok` on old code). **HC-SVC-PANIC-01 (service-handler panic not isolated).**`ServiceRegistry::call` already ran handlers **outside** the registry lock (the `Arc<dyn ServiceHandler>` is cloned out of the read guard first → no `RwLock` poisoning, no blocking of other callers — clean), but a panicking handler unwound through `call()` into the caller's task (the task driving the engine). **Hardened** by wrapping the handler future in `AssertUnwindSafe` + `catch_unwind`, converting a panic to `ServiceError::HandlerPanicked`; the registry stays fully usable (a sibling healthy service still returns, the bad service stays registered). Pinned by `panicking_handler_is_isolated_and_registry_survives` (unwinds through `call` on old code). **Dimensions confirmed clean (with evidence, no invented issues):** (1) **event-bus bounds / lag** (the homecore-api WS lag-DoS class) — both `StateMachine` and `EventBus` use **bounded**`tokio::sync::broadcast` (capacity 4,096); a slow subscriber gets a recoverable `Lagged(n)` (drop-oldest + re-sync) while `fire_*` is non-blocking and never waits on slow receivers, so a lagging subscriber **cannot block the publisher, grow the channel without bound, or kill a fast subscriber** (evidenced by `slow_subscriber_does_not_block_publisher_or_kill_the_bus` — fire 3× capacity at an idle subscriber, publisher unblocked, bus stays live, fresh fast subscriber receives, lagged one recovers); (2) **lock ordering / lock-across-await** (deadlock) — no code path holds two of `{state DashMap, registry RwLock, service RwLock}` simultaneously, so no inconsistent-ordering deadlock can exist; every `tokio::sync::RwLock` guard in `registry.rs`/`service.rs` is used in one synchronous statement and dropped before any `.await` (`call` explicitly scopes the read guard out before awaiting the handler); the only guard held across a send is the DashMap shard lock in `set`, across a **synchronous** broadcast send — safe; (3) **panic-on-input** — no reachable `unwrap`/`expect`/index in non-test code beyond the safe `send().unwrap_or(0)` and the dead-but-harmless `split_once(...).unwrap_or(...)` fallbacks on already-validated ids. `cargo test -p homecore --no-dLine truncated
- **`homecore-migrate` security review (ADR-165 surfaces) — one real secret-leak fix; traversal / data-loss / panic / injection dimensions confirmed clean with evidence.** Beyond-SOTA review of the Home-Assistant `.storage`/`secrets.yaml`/`automations.yaml` migrator, the two sharp surfaces being secret handling (`secrets.rs`) and untrusted-file parsing. **Finding + fix (secret-leak, `secrets.rs`):** a malformed `secrets.yaml` whose offending scalar fails a typed-tag coercion (e.g. `port: !!int <value>`) produced a `serde_yaml` error whose message **embeds the scalar verbatim** — `invalid value: string "<the-secret-value>"`. The old code wrapped that message into `MigrateError::YamlParse { source }`; the error propagates out of `read_secrets`, is `?`-returned by the `InspectSecrets` CLI path in `main.rs`, and printed to stderr by `anyhow` — **leaking a secret value despite the CLI's deliberate `<redacted>` design** (`main.rs` only ever prints keys as `<key> = <redacted>`). Fix: `secrets.yaml` parse failures now map to a dedicated redacting variant `MigrateError::SecretsParse { path, line, column }` carrying only the file path + a coarse location (from `serde_yaml::Error::location()`), never the scalar; other (non-secret) YAML files keep `YamlParse`. **Pinned** by `secrets::tests::malformed_secrets_error_never_contains_secret_value`, which asserts the rendered error **and its full `#[source]` chain** never contain the secret value and that the error is still the structured `SecretsParse` (fail-closed) — it **fails on the old `YamlParse` path** (observed leak: `... invalid value: string "s3cr3t_TOKEN_VALUE" ...`) and passes on the fix; plus `malformed_secrets_error_reports_location` (still locatable). **Confirmed clean with evidence:***secret leakage elsewhere* — the only secret sink is the value map; `main.rs` redacts values, and the `MissingField`/`Io` paths surface only the path, never content. *Source mutation / data-loss* — **structurally impossible**: there is no `fs::write`/`fs::remove`/`fs::create`/`File::create`/`OpenOptions` anywhere in the crate; P1 reads source and writes nothing (`import-entities` is in-memory only), so re-runs are trivially idempotent and the HA source is never touched. *Path traversal* — CLI takes a `--config-dir`/`--storage` dir and joins **fixed** filenames (`secrets.yaml`, `core.entity_registry`, …); no user-controlled path component, no `..`/absolute escape beyond the user's own privileges. *Panic-on-input* — probed duplicate-key, bad-indent, tab/control-char, multi-doc, non-mapping-root, unterminated-flow, `!input` blueprint tags, deep nesting, anchors: **every** malformed/typed/truncated input **errors, never panics** (all production code is panic-free; every `unwrap`/`expect` is `#[cfg(test)]`). *Fail-closed versioning* — unknown storage `minor_version` hard-errors (no silent fallback to an older parser). *Injection* — no SQL/shell/path interpolation; the tool emits diagnostics only and persists nothing in P1. `homecore-migrate`**19 → 21** tests (`--no-default-features`), 0 failed. Behaviour otherwise unchanged; Python deterministic proof PASS, hash unchanged (`homecore-migrate` is off the signal proof path).
- **`homecore-recorder` security review (ADR-132 surfaces) — two real bounding fixes; SQL-injection & NaN-index dimensions confirmed clean with evidence.** Beyond-SOTA review of the HA-compat state recorder (DB persistence + history + ruvector semantic search), the crux being its DB-backed SQL-injection surface. **Findings + fixes:** (1) **Memory-DoS — unbounded `get_state_history`.** The history query carried no `LIMIT`, so a wide `[since, until]` window over a high-frequency entity (a per-second sensor ≈ 86k rows/day) would load an unbounded row set into a single in-memory `Vec`. Added a hard `LIMIT MAX_HISTORY_ROWS` (1,000,000 — generous enough never to truncate a realistic history graph, bounded enough to cap the worst case); the sibling search paths were already `k`-bounded. (2) **Disk-DoS / documented-but-missing `purge`.** The README + HA-compat table advertised `Recorder::purge(older_than)` as a capability, but **no such method existed** — i.e. no retention path at all → unbounded disk growth. Implemented a **transactional**`purge` that deletes `states` + `events` strictly **older than** the cutoff (**exclusive** boundary — idempotent, no off-by-one; a row at the cutoff instant is kept) and **garbage-collects** orphaned `state_attributes` blobs (a dedup-shared blob is dropped only once its last referencing state is gone); all three deletes run in one transaction so a mid-purge failure rolls back cleanly (no states-deleted-but-events-kept corruption). **Confirmed clean with evidence:** SQL injection — **every** query in `db.rs` uses bound `?` parameters (no `format!`/string-concat of user data into SQL); the lone `format!` builds the LIKE *pattern*, which is itself bound as a parameter with `ESCAPE '\\'` and metacharacter escaping. Pinned: a state value `'; DROP TABLE states; --` is stored/queried **literally** (table survives), and a `%`/`_` in a search query matches **literally**, not as a wildcard. NaN-index poisoning (the calibration/vitals/geo class) — **structurally impossible** here: embeddings are SHA-256 → `i32` → `f32` (an `i32` cast to `f32` is always finite, never NaN/Inf), with an all-zero-digest norm guard; probed empty-index search, empty-string query, and `k=0` — all return `Ok(0)`, **no panic**. Fail-closed write path — a removal event yields `Ok(None)`, semantic-index failure is logged not propagated (best-effort, never blocks the durable SQLite write), and `EntityId` parsing failures fall back rather than panic. **6 new pinning tests** (SQL-injection literal-storage, LIKE-metacharacter literalness, history `LIMIT`, purge exclusive-boundary, purge attribute-GC-keeps-shared, purge old-events): `homecore-recorder`**19 → 25** (`--no-default-features`) / **25 → 31** (`--features ruvector`), 0 failed; the purge-boundary test is a true pin (fails deleting 2 rows under an inclusive cutoff, passes deleting 1 under the exclusive cutoff). Behaviour otherwise unchanged; Python deterministic proof unchanged (recorder is off the signal proof path).
### Added
- **ADR-184 / ADR-185 / ADR-186 / ADR-187 decision records added under `docs/adr/`** (indexed in the ADR README, count corrected to 193 — commit `cca5bd811`). **ADR-184** (PyPI Trusted Publishing, completes ADR-117) — Proposed; its CI migration has landed but is pending pypi.org registration (see Changed). **ADR-185** (P6 Python bindings for AETHER/MERIDIAN/MAT) and **ADR-186** (training progress API, refs #1233) are **Proposed only** — decision records for work not yet implemented on this branch. **ADR-187** (archive/v1 deprecation + model-weights honest labeling) — Accepted and implemented (see Deprecated).
- **ADR-263/264/265: deep review of the RuView npm surface (`@ruvnet/ruview`, `@ruvnet/rvagent`, `@ruv/ruview-cli`) with optimization strategies recorded as ADRs.** ADR-263 reviews the published `@ruvnet/ruview@0.1.0` harness: fail-open `claim-check` on empty input (HIGH), `spawnSync` head-of-line blocking of the MCP stdio server during long `verify`/`calibrate` runs (HIGH), optionalDependencies tripling the cold `npx` install for a code path that never uses them (MEASURED, `npm i` in a clean prefix: 4 packages / 620 kB / 71 files default vs 1 package / 172 kB / 22 files with `--omit=optional`), 1 MiB `maxBuffer` truncation risk, `python -c` port-interpolation surface in `node_monitor`, hardcoded MCP server version, duplicated skill payload — optimizations O1–O8. ADR-264 reviews `@ruvnet/rvagent@0.1.0` + the private CLI **against the published registry tarball**: `exports.require` → nonexistent `dist/index.cjs` (HIGH, every CJS consumer breaks), 44 dead source-map files = 62,698 B of the 188 kB unpacked payload pointing at unshipped `../src` (MEASURED), stdio-only server described as "dual-transport" (CLAIMED capability), mixed dot/underscore tool naming, double Zod validation + hand-duplicated advertised schemas, 2-fd leak per training job, unbounded request body in the unwired HTTP scaffold, dead `detectCogBinary` candidate list, `ruview` bin-name collision — optimizations O1–O9. ADR-265 adds the cross-cutting distribution layer: an `npm-packages.yml` CI matrix (tests + pack-content/size gate + tarball-install smoke test — none of the three packages currently has any CI, and `ci.yml` pins Node 18 against `engines >= 20`), publish-from-CI-only with `npm publish --provenance`, version single-sourcing from package.json, bin/namespace ownership (the `ruview` bin belongs to `@ruvnet/ruview`), and claim-check enforcement on package READMEs/descriptions. Docs only — no runtime code changed; the findings are the work orders for the follow-up PRs.
- **ADR-131 §11–§12: HOMECORE-UI wired to a real backend — single-origin BFF gateway + production front-end (no mock in prod).** Implements the §11 wiring decision so the dashboard stops rendering fabricated data. **Front-end (DONE + verified under Node):**`api.js` rewritten so every data accessor is async and calls the §11.2 gateway routes; the in-browser mock is demoted to a **dev-only fixture** reachable only via `?demo=1`/`HOMECORE_UI_DEMO` (§2.2); all ten panels now `await` and render a **typed empty/error state** on upstream failure (no mock fallback in production) — 3 panels converted by hand, 7 via a parallel agent swarm. **New `homecore-server` BFF gateway (`src/gateway.rs`, compile-pending — no Rust toolchain in the authoring env):** promotes `homecore-server` to the single origin (§2.1); adds `/api/homecore/*` + `/api/cal/*` merged into `build_app`, with `reqwest` + CLI/env flags (`--calibration-url`/`--calibration-token`/`--apps-dir`/`--gateway-timeout-ms`). Real handlers: calibration **reverse-proxy** (W2), `GET /api/homecore/rooms` with the §11.3 **RoomState adapter** (`breathing`→`breathing_bpm`, `heartbeat`→`heart_bpm`, `None`→`null` preserving not-trained-vs-withheld, injected `anomaly.threshold`/`room_id`), **COG supervisor** over `/var/lib/cognitum/apps/` (W4), and **appliance metrics** from `/proc` + TCP service probes (W6); SEED-device/appliance routes (seeds/federation/witness/privacy/settings/automations/events-history/hailo/tokens — W3/W5) return a typed `503 upstream_unavailable` and the UI shows error states. **Tests:** front-end **5 files green** — import-graph, boot, render-smoke (22), interaction (3), and a **new prod-errors suite (13)** that runs with demo OFF + gateway unreachable and proves every panel renders an error state, never mock, never throws (it caught + fixed a real unhandled-rejection in the events automation builder). **Gateway compiled, tested, and run on Rust 1.89:**`cargo test -p homecore-server --no-default-features` = **12/12 pass** (6 gateway + 6 UI mount); the binary was **run live** — `GET /api/homecore/appliance` returns real `/proc` metrics + TCP service probes, unauth → `401`, `cogs` → `[]` (no apps dir), SEED-tier → typed `503`, and against a mock calibration upstream the `/api/cal/*` proxy passes through (`200`) and `GET /api/homecore/rooms` adapts `RoomState` to the UI shape (`breathing`→`breathing_bpm`, `heartbeat:null`→`heart_bpm:null`, injected `anomaly.threshold`/`room_id`). **Live testing caught + fixed a real bug** — a double-`v1` segment in the `/api/cal/*` proxy URL. **Remaining (intrinsic, not an env limit):** W3/W5/W6-Hailo/federation depend on services/hardware **not in this repo** (recorder/automation HTTP wrappers, real SEED nodes, Hailo stat source), so they return honest `503`s rather than fabricate data; W1/W2/W4/W6-appliance are functional now. ADR-131 §10/§12.1 updated with per-wave status.
- **ADR-131: HOMECORE-UI — the complete operational dashboard for the two-tier Cognitum stack, served by `homecore-server` at `/homecore`.** A zero-dependency, no-build-step vanilla TS/JS + CSS frontend (the `rufield-viewer` "Axum + vanilla-JS" pattern) that extends the Cognitum Appliance shell as a first-class nav section (Framework | Guide | Cog Store | **HOMECORE** | Status). **Complete, not a scaffold** (per the ADR's revised §2/§7): all **10 panels** ship fully built and rendered — §4.1 System Dashboard (v0 Appliance health strip + SEED fleet grid + ESP32 summary + COG status row + event-bus sparkline), §4.2 SEED Detail (vector store / witness chain / 5 onboard sensors / reflex rules / cognitive-fragility / ingest packet-type), §4.3 SEED Fleet Map (Appliance→SEED→ESP32 hierarchy, ESP-NOW mesh, cross-SEED fusion badges, ADR-105 federation), §4.4 Entity & State Browser (domain-grouped, **live WebSocket `subscribe_events` patching — never polls**, first-class provenance badges, keyword filter, context-causality slide-over), §4.5 RoomState/Sensing (mixture-of-specialists), §4.6 COG Management + App Registry, §4.7 Calibration Wizard (5-step baseline→enroll→train→verify), §4.8 Event Bus + Automation builder, §4.9 Witness/Audit log (two-tier SHA-256 + Ed25519 timeline, privacy-mode banner, pagination, export), §4.10 Settings. **Design system is the exact production Cognitum palette** (`tokens.css` carries `--cyan #4ecdc4` … `--r 10px` verbatim, §3.1) so there is no visual seam with the Cog Store (§3.3 invariant). **§6 UX invariants enforced in code and pinned by tests:** tier-origin provenance is always-visible (never collapsed); `stale`/`vetoed` flags and the kNN fragility score are prominent (amber/red tint + banners, never grey-on-grey); a `null` specialist renders "Not trained / calibrate to enable" **visually distinct from** veto-`withheld` (rendered as explicitly withheld, never zero) **distinct from** an error; all IDs/hashes/endpoints/payloads use `--mono`; Hailo-sourced COGs (`arch: hailo10`) are visually distinguished from CPU-only (`arch: arm`). **Wiring:**`homecore-server` gains a `--ui-dir`/`HOMECORE_UI_DIR` flag and mounts the assets via `tower-http``ServeDir` at `/homecore` alongside the unchanged HA-compat `/api` surface (new testable `build_app()`), with **5 Rust integration tests** (`#[cfg(test)] mod ui_tests`, `tower::oneshot`) asserting index / design tokens / all-10-panels are served, the API coexists, and an empty `--ui-dir` disables the mount. **JS test + benchmark suite (`ui/`, runs under plain `node`, no npm install): 24 checks / 0 failed** — an import/export graph verifier (15 modules consistent), a DOM-shim render-smoke that *executes every panel* (21 checks: ui helpers + mock contracts + all 10 panels render without throwing), and an interaction suite (3 checks: live WS state-patch, ws.js handshake/parse, calibration backend contract). **Benchmark:** total bundle **136.8 KB uncompressed across 18 files — ~37× smaller than HA's ~5 MB Lit bundle** (the ADR-126 §1.1 foil), slowest panel **1.5 ms/cold-render**. **Honest scope (§7.1):** the live HOMECORE REST API (`/api/config|states|services`) and the WebSocket `subscribe_events` feed are driven for real; panels whose backing service is **not** in this binary (SEED HTTPS API, calibration ADR-151, ADR-105 federation) render against a **contract-conformant mock layer flagged with a DEMO banner** and swap to live the moment those endpoints land — no mock data is ever presented as real. **Not verified in this environment:** the Rust crate was edited and the integration tests written but **not compiled/run here** (no Rust toolchain present); `cargo test -p homecore-server` + `cargo build` must be run on a Rust host before merge.
- **ADR-175: int8 quantization of the WiFlow-STD "half" pose model — MEASURED fp32-vs-int8 accuracy/size trade-off (honest negative).** Sub-deliverable 8.2 of the benchmark/optimization milestone, and the reading of the SOTA brief's "one untested edge lever" (QAT-int8 on the 843,834-param half model that strictly dominates the published 2.23M model). A new committed script `v2/crates/wifi-densepose-train/scripts/quantize_half_int8.py` quantizes `half_best.pth` to int8 two ways and scores both with the **same** upstream `calculate_pck`/`calculate_mpjpe` that produced the fp32 sweep numbers, under **one locked normalization** (ADR-173 torso-diameter PCK — neck idx2→pelvis idx12, `use_torso_norm=True`, the standard MM-Fi/GraphPose-Fi convention), on the **same** seed-42 file-level 70/15/15 test split (52,560 NaN-free / 54,000 full windows). **MEASURED on ruvultra (RTX 5080, torch 2.11.0+cu128, fbgemm; clean test, torso-PCK):** fp32 = 96.62% PCK@20 / 99.47% PCK@50 / 0.008981 MPJPE / 3.351 MB (fp32-CPU reproduces fp32-GPU to 4 dp, so the int8 deltas are pure quantization, not CPU/GPU drift); **int8 static PTQ = 40.98% PCK@20 (−55.64 pp), 1.046 MB** — naive static QDQ **collapses** on this model (the brief's 2.23M "sweet spot" does NOT transfer to the 843k half model at the tight @20 threshold); **int8 QAT (3-epoch FX fake-quant fine-tune from half_best) = 67.48% PCK@20 (−29.15 pp) / 98.69% PCK@50 (−0.78 pp), 1.043 MB.****Verdict (honest no):** int8 is **not a win** at the strict PCK@20 edge target — QAT recovers a large share of the PTQ collapse and is near-lossless at the loose PCK@50 (coarse localization survives int8, fine does not), but a **3.2× size win at −29 pp PCK@20** is a bad trade when the half model already fits edge flash at fp32 → **keep fp32/fp16 on the edge for now.****Disclosed gap:** the QAT *fake-quant* val PCK@20 reached 83.45% but the *converted* int8 model scores 67.48% — a real ~16 pp `convert_fx` gap (fbgemm int8 kernels ≠ straight-through estimate, esp. the axial-attention einsum/softmax); we report the converted-int8 number, not the fake-quant proxy. **MEASURED:** every table number + the PTQ collapse + the QAT partial recovery + the conversion gap. **CLAIMED/not done:** ONNX/TFLite export, on-edge-SoC latency/energy (int8 measured on x86 fbgemm — size transfers, latency does NOT), mixed-precision keeping attention fp32, longer/better-tuned QAT. **Honest limitations:** single in-domain eval split (no cross-environment split), x86-int8 not edge-SoC-int8, lightly-tuned QAT. Additive only — no production Rust or signal-pipeline change; Python deterministic proof unchanged (`f8e76f21…46f7a`, bit-exact — off the signal proof path).
- **Metric-locked PCK/MPJPE accuracy harness — resolves the PCK-definition ambiguity (`wifi-densepose-train`, needs ADR slot 173).** The SOTA brief (`docs/research/sota-nn-train-benchmark-brief.md` §1, §3.1, §4) found the single biggest threat to any "beyond-SOTA" claim is **metric ambiguity**: three PCK@20 figures (96.09% WiFlow-STD image-normalized, 81.63% AetherArena torso-PCK, 61.1% GraphPose-Fi standard PCK) cannot be lined up because each silently uses a different normalization — the project was retracted twice over this (a withdrawn "92.9%" used *absolute* pixels, not torso). New `src/accuracy.rs` makes the normalizer **explicit, selectable, and carried with every reported number**: a `PckNormalization` enum (`TorsoDiameter` = standard MM-Fi/GraphPose-Fi hip↔hip; `BoundingBoxDiagonal` = looser WiFlow-STD image-normalized; `AbsolutePixels(threshold)` = the retracted convention, included so historical numbers are reproducible and clearly labeled non-comparable); one canonical `pck_at(pred, gt, vis, k, normalization)` reusing the `metrics_core` geometric primitives (hip distance, bbox diagonal — no duplicate kernel); `mpjpe(pred, gt, vis)` (2D/3D, mm); and a self-describing `PoseAccuracy { pck_at: BTreeMap<u8,f32>, mpjpe, normalization, n_keypoints, n_frames }` returned by `accuracy_report(frames, ks, normalization)` so an **unlabeled PCK number is structurally impossible**. **17 hand-computed deterministic tests** (no GPU, no datasets) prove the harness arithmetic: perfect→PCK=1.0/MPJPE=0; all-just-outside→0.0; half-in-half-out→0.5; the **key proof** that identical predictions score 0.50 (torso) / 1.00 (bbox) / 0.75 (abs) under the three normalizations (the ambiguity is real and the definitions are distinct); MPJPE 2D/3D fixtures; and graceful degenerate handling (zero torso, empty frames, NaN coords — no panic, never a false-perfect). **This is measurement infrastructure, not an accuracy claim** — the tests prove the harness is correct, not that any model is good. `wifi-densepose-train` lib 191→206, `test_metrics` 12→14, 0 failed. Python deterministic proof unchanged (off the signal proof path).
- **CI bench-regression guard (`.github/workflows/bench-regression.yml`) — wires the v2/ criterion benches into CI as a real, hard-failing COMPILE-VERIFY gate + an informational fast-run; caught + fixed one already-bit-rotted bench (benchmark/optimization milestone sub-deliverable 8.3; needs ADR slot 174).** The v2/ workspace ships **26 criterion benches across 18 crates** (e.g. `nvsim/pipeline_throughput`, `wifi-densepose-ruvector/{ann,sketch,fusion}_bench`, `wifi-densepose-signal/{signal,dsp_perf,features,calibration,aether_prefilter,cir}_bench`, `wifi-densepose-mat/detection_bench`, `wifi-densepose-nn/{inference,native_conv,onnx}_bench`, `wifi-densepose-engine/engine_cycle`, …) but, because benches are **not** part of `cargo test`, nothing in CI compiled them — so they silently rot when a public API they call changes. **Proof this matters (MEASURED):** running the new gate on the current tree immediately caught `wifi-densepose-mat/detection_bench` failing to compile (`E0063: missing field last_rssi in initializer of SensorPosition` — the struct gained a field, the bench was never updated); fixed in this change (`last_rssi: None`, the simulated-zone convention) and re-verified (`cargo bench -p wifi-densepose-mat --no-default-features --bench detection_bench --no-run` → `Finished`, Executable produced). **HONEST SCOPE — what gates vs what is informational:** (1) `bench-compile` (HARD GATE) runs `cargo bench --workspace --no-default-features --no-run` (compile + link every default-feature bench, no measurement) plus a `--features cir` compile of the gated `cir_bench` — a deterministic, real regression guard against bench bit-rot; (2) `bench-fast-run` (INFORMATIONAL, `continue-on-error: true`, NEVER gates) runs a curated pure-CPU subset (`nvsim/pipeline_throughput`, `ruvector/{sketch,fusion}_bench`) in criterion quick-mode (1s warm-up / 2s measure / 10 samples), targeted per-`--bench` (the crates' libtest lib targets reject criterion flags), and uploads the logs as an artifact. **No timing-regression gate, by design and stated in the workflow header:** wall-clock on shared GitHub runners varies 2-3x run-to-run, so a hard threshold or a cross-runner `criterion --baseline` compare would manufacture false failures; that becomes honest only on a frequency-pinned self-hosted runner (documented as the re-add condition). The `crv`-gated `ruvector/crv_bench` is deliberately NOT compiled by the gate because its crates.io dep `ruvector-crv 0.1.1` currently fails to build on stable (upstream E0308 in its own `stage_iii.rs`) — noted in-workflow with the re-add condition. Checkout is `submodules: recursive` (the workspace path-deps `vendor/rufield`) and installs the Tauri/GTK dev libs like `ci.yml`'s rust-tests job (a `--workspace` bench link pulls the whole graph). **MEASURED locally (Windows, `--no-default-features`):**`nvsim`, `wifi-densepose-ruvector` (sketch/fusion/ann), `wifi-densepose-signal/cir_bench`, `wifi-densepose-mat/detection_bench` (post-fix), `wifi-densepose-vitals/vitals_bench`, and `ruview-swarm/swarm_bench` all compile + the fast subset runs (sample baseline: `nvsim pipeline_run/d1/256` ≈ 55 µs, `d16/1024` ≈ 315 µs; `ruvector sketch_hamming` ≈ 3-7 ns vs `float_l2` ≈ 63-371 ns). The full `--workspace``--no-run` could **not** be fully validated on Windows (Tauri-`desktop` needs GTK, `candle-core` fails on MSVC, `swarm_bench` LTO-links OOM under parallel pressure) — those are Windows-env artifacts that build in the Linux CI runner (each affected bench was confirmed to compile standalone here). No baseline JSON is committed (a cross-runner baseline would be dishonest). Python deterministic proof unchanged (`f8e76f21…46f7a`, bit-exact — off the signal proof path).
- **RuField `rufield-viewer` live-ingest mode — closes the RuView↔RuField visual loop (ADR-262 surfaces).** The dashboard gains `--source live --upstream <RuView-URL>`: it consumes RuView's `/ws/field` SSE (falling back to polling `/api/field`), **verifies every event's ed25519 provenance receipt on ingest** (`is_fusable`) — forged/tampered events are flagged ✗ and **never fused** into trusted inferences — and renders real RuView `FieldEvent`s through the same room-state/privacy-badge/fusion-graph/receipt path the synthetic mode uses (wire-compatible by construction: both sides use `rufield_core::FieldEvent` serde). **Strict banner honesty:** a single `BannerState` shows `SYNTHETIC` / `LIVE — <upstream>` / `DISCONNECTED — <upstream> unreachable`, mutually exclusive — never SYNTHETIC while showing live data or vice versa; live mode returns **409** on `/api/run` rather than fabricate a synthetic run, and starts DISCONNECTED until first verified contact. Default stays synthetic. 26 tests / 0 failed. `ruvnet/rufield``crates/rufield-viewer`; `vendor/rufield` submodule bumped.
- **ADR-262 P3 — live RuField surface: RuView's running sensing-server now speaks RuField on `/api/field` + `/ws/field`.** Wires the P1 `wifi-densepose-rufield` bridge into the live `wifi-densepose-sensing-server` (the bridge is the only added coupling, ADR-262 §5.4). A new `src/rufield_surface.rs` module (kept out of the 8k-line `main.rs`) holds a `FieldSurface` with a **dedicated ed25519 `Signer`**, a bounded ring buffer of recent signed events (`FIELD_RING_CAPACITY = 64`), and the `/ws/field` broadcast topic; it exposes `GET /api/field` (latest signed `FieldEvent`s + signer pubkey + a `dev_signing_key` flag) and `GET /ws/field` (per-cycle stream, mirroring `/ws/sensing`), plus a standalone `router()` for isolated testing. **Tap:** at the ESP32 governed-trust cycle (`main.rs``observe_cycle` ~`:5886` / `SensingUpdate` build ~`:5938`), `emit_rufield_event` joins the cycle's real `SensingUpdate` (features/classification/signal_field) with the engine's recorded `effective_class`/`demoted` trust state into a `SensingSnapshot` and surfaces a signed `FieldEvent` — **existing endpoints (`/ws/sensing` etc.) are unchanged; this is purely additive.****Signer (defers the P2 key decision, §8 Q1):** a **standalone dev/sensing key** from `WDP_RUFIELD_SIGNING_SEED` (64-hex or ≥32-byte value), else a deterministic dev default with a logged `WARN` — reusing the `cog-ha-matter` Ed25519 key is the deferred P2 call, so P3 does not pre-empt it. **Egress privacy (fail-closed):**`network_egress_allowed` is *stricter* than `DefaultPrivacyGuard` for an unattended live surface — only **P1/P2** leave the box; P0 (raw) and P3/P4/P5 are held edge-local, so a `Derived → P4/P5` cycle **never** surfaces; no-presence cycles emit **no phantom event**. **P3 acceptance gates (`tests/rufield_surface_test.rs`, 4 integration via `tower::oneshot` + 4 module unit, 0 failed):** a well-formed **signed** event (`Modality::WifiCsi`, P2 not P1, `is_fusable` ed25519-verified, real timestamp); empty cycle → no phantom; **privacy-safety** — an injected `Derived` trust never surfaces; a mixed stream surfaces only egress-safe events. **Honest scope (ADR-262 §0/§6):** real plumbing on a **live endpoint**, **NOT accuracy** — single-link CSI with its existing caveats (no validated room-coordinate accuracy — `field_localize`), a dedicated dev signing key pending the P2 ownership decision, no accuracy claim. The win is narrowly: "RuView's live sensing now speaks RuField on `/ws/field`."
- **ADR-262 P1 — `wifi-densepose-rufield` anti-corruption bridge: RuView WiFi-CSI sensing → signed RuField `FieldEvent`s.** A new v2 workspace member (the *single coupling point* between RuView and the standalone RuField MFS spec, ADR-262 §5.4) that **path-deps** the `vendor/rufield` submodule crates (`rufield-core`/`-provenance`/`-privacy`/`-fusion` — pure-Rust, `--no-default-features`-buildable: serde/sha2/ed25519/toml only, no tch/openblas/ndarray/candle) and **no** RuView internal crate. The bridge takes owned primitives — `SensingSnapshot` mirrors the `/ws/sensing``SensingUpdate` (features + classification + signal_field) joined with the `TrustedOutput` trust state (`trust_class`/`demoted`/`identity_bound`) — and `snapshot_to_field_event()` emits one **signed**`FieldEvent` (`Modality::WifiCsi`, axis `[Frequency]`): a real `FieldTensor` from the feature scalars with the real `timestamp_ns`; an `Observation` whose `range_m`/`motion_vector`/`space_cell` are derived from the strongest **signal-field peak** when present (else `None` — coordinates are **never fabricated**, per the `field_localize` caveat) and `confidence` from the classification; a real `ProvenanceRef` (sha256 over the tensor bytes, `synthetic=false`) **ed25519-signed** so `rufield_provenance::is_fusable` passes. **The §3.3 privacy mapping is the critical correctness item**, implemented as `map_privacy()` mapping RuView's class onto RuField P0–P5 **by information content, NEVER by byte value** and **fail-closed**: RuView `Derived` (byte `1`, which sorts *below*`Anonymous` byte `2`) carries an identity embedding → maps to **P4** (or **P5** if identity-bound), **never P1** (the single most dangerous mapping mistake); `Raw → P0`, `Anonymous → P2`, `Restricted → P2`; a governed-engine `demoted` cycle floors the egress class to ≥ P2 with raw suppressed. **P1 acceptance gates (15 tests / 0 failed — 5 unit + 9 integration + 1 doc):** round-trip (`SensingSnapshot → FieldEvent →` serde `→` equal), `is_fusable` (verified ed25519 receipt), `RuFieldFusion::ingest` accept + `infer()` runs, **privacy-safety** (`gate_privacy_safety_derived_never_maps_to_low_privacy` — `Derived → P4/P5`, never P1; a table test over every RuView class; fail-closed demotion), and determinism (same snapshot + same signer seed → byte-identical event). **Honest scope:** this is **P1 plumbing** — a tested conversion + a safe privacy mapping. It is **not** wired into the live server (that is P3) and makes **no accuracy claim** (RuField v0.1 is synthetic; RuView's single-link CSI carries its own caveats). CI: the `rust-tests` workflow checkout gains `submodules: recursive` so the path-deps resolve. Python deterministic proof unchanged (off the signal proof path).
- **ADR-262 (Proposed): RuField MFS ↔ RuView integration — a live `SensingServerAdapter`, a privacy/provenance bridge, MAPPED not papered-over.** Researched integration design for wiring RuField into RuView. Recommends: a thin **`wifi-densepose-rufield` bridge crate** (anti-corruption layer, path-deps on the `vendor/rufield` submodule — the `vendor/rvcsi` pattern, since rufield crates are unpublished); a **live `SensingServerAdapter`** that taps the real `SensingUpdate` emit site joined with `TrustedOutput` trust state and emits one signed `FieldEvent`/cycle (the file-based `CsiReplayAdapter` stays for offline replay); **vertical fusion composition** (ruvsense fuses *within* WiFi → one `wifi_csi` event → rufield-fusion graph fuses *across* modalities above it); and **one canonical privacy/provenance model** (RuView `effective_class` is source-of-truth, mapped to RuField P0–P5 at egress; reuse the existing `cog-ha-matter` SHA-256+Ed25519 chain for the `ProvenanceReceipt`). **Key honest finding:** RuView has **two privacy enums + three witness mechanisms across two hash algorithms** that do not map 1:1 onto P0–P5, and a real trap — RuView's `Derived` privacy byte (`1`) sorts *below*`Anonymous` (`2`) yet carries identity embeddings, so the bridge must map by **information content** (`Derived → P4/P5`), never by byte value, or it would leak identity as low-privacy P1. 4 independently-shippable phases, each with a test gate (round-trip / `is_fusable` / privacy-monotonicity / ed25519-verify). Honest scope: this is **plumbing architecture, not accuracy** — RuField v0.1 is synthetic and RuView's only real-CSI path is unlabeled replay; the ADR claims only architecture, gated by round-trip/monotonicity/signature tests.
- **RuField `CsiReplayAdapter` — first real (non-synthetic) WiFi-CSI adapter (ADR-260 §17).** RuField now ingests **real captured WiFi CSI** instead of only the synthetic simulator. New `rufield-adapters::csi_replay` parses RuView's `.csi.jsonl` recording format (`{timestamp, subcarriers[]}`), normalizes each frame to a `FieldTensor` (`WifiCsi`, real amplitudes + real `timestamp_ns`), establishes a per-subcarrier Welford **empty-room baseline** via `calibrate()`, derives a **physically-grounded CSI-variance motion/presence proxy** (normalized MAD vs baseline → P2 motion/presence, else P1), and emits `FieldEvent`s with a **real sha256 + ed25519 provenance receipt** (`synthetic=false`). **Measured on 199 real captured frames:** 184 presence-proxy / 69 motion-proxy → fed through `RuFieldFusion` → **182 fused inferences (115 breathing, 67 person_present) from real signal.** 12 tests (9 unit + 3 integration over real-CSI fixtures), deterministic (byte-identical stream per file). **Honest caveats (stated everywhere):** it's **replay from file, not live hardware**; recordings are **unlabeled**, so the motion/presence output is a **proxy, NOT validated accuracy** (no pose, no accuracy numbers); live streaming + labeled validation remain roadmap; mmWave/thermal stay synthetic. The win is "RuField ingests real WiFi CSI and produces fused events from it." [`ruvnet/rufield`](https://github.com/ruvnet/rufield) `crates/rufield-adapters`; `vendor/rufield` submodule bumped.
- **RuField `rufield-viewer` web dashboard — completes ADR-260 §27.9 (all §27 criteria 1–10 now PASS).** A read-only Axum + vanilla-JS dashboard (no build step — `cargo run -p rufield-viewer`) that streams the deterministic SyntheticSim→fusion camera-free room-intelligence demo: live room-state inferences with confidence, a scrolling event log where every event carries its modality + a colour-coded **P0–P5 privacy badge**, the fusion graph (supporting=green / contradicting=red per inference), and a click-to-open **provenance-receipt modal** (sha256 + ed25519 signer + verified ✓ / fusable ✓) — behind a permanent, undismissable `SYNTHETIC — simulated sensors, no hardware` banner. Endpoints `/` · `/app.js` · `/health` · `/api/run` (full deterministic JSON) · `/events` (SSE). 12 new tests. Honest scope: a read-only SYNTHETIC demo viewer, **not** a device-management console — fleet/real-adapter management is a separate later milestone. Lives in [`ruvnet/rufield`](https://github.com/ruvnet/rufield) (`crates/rufield-viewer`, repo now 7 crates / 72 tests); `vendor/rufield` submodule bumped to include it.
- **ADR-261: RuVector graph-ANN index — a real HNSW baseline + a SymphonyQG-style quantized variant, MEASURED (honest negative).** Closes the [ADR-156 §5 #1](docs/adr/ADR-156-ruvector-fusion-beyond-sota.md) gap: the SymphonyQG (SIGMOD 2025) **3.5–17× QPS-over-HNSW** claim was CLAIMED-only because **no HNSW baseline existed to compare against**. This adds one. New pure-Rust, `--no-default-features`-buildable modules in `wifi-densepose-ruvector`: `hnsw.rs` (a correct float HNSW — Malkov & Yashunin: multi-layer NSW graph, `ef_construction`/`ef_search`, Algorithm-4 neighbour selection, **seeded-deterministic** level assignment via SplitMix64, L2 + cosine, full degenerate-case guards), `hnsw_quantized.rs` (the SymphonyQG-style variant — the **same** graph traversed by a cheap **1-bit Hamming** score over the RaBitQ Pass-2 rotated sign code, then **exact-float rerank**), `ann_measure.rs` + `benches/ann_bench.rs` (one shared deterministic planted-cluster fixture; the `ann_bench_report` test is the source of truth). **MEASURED (dim=128, N=10k, K=10, `--release`):** float HNSW = **~25× QPS over linear scan at recall ≥0.99** (the baseline this gap needed; recall@10 correctness gate ≥0.95 holds, L2 + cosine). **Honest negative:** the 1-bit quantized traversal is **too coarse to beat float HNSW at equal recall at this scale** — its best recall is **0.738**, never reaching the ≥0.90 equal-recall point, so there is **no QPS win** over float HNSW; the 3.5–17× is **not reproduced** by our 1-bit construction here. The recall gate also **caught a real index-out-of-bounds bug** in the insert path (disclosed in ADR-261 §4). Caveat: this is **our** HNSW + **our** 1-bit quant, not SymphonyQG's exact system — it tests the *direction* of the claim, with the expected crossover at large N + a multi-bit traversal code. **We did not tune to manufacture a speedup.** +20 tests (ruvector lib 131→151, 0 failed). ADR-156 §5 #1 / §8 backlog: CLAIMED → **MEASURED-direction-tested**. Python deterministic proof unchanged (off the signal proof path).
- **ADR-261 Milestone-2: multi-bit quantized HNSW traversal + large-N scaling study — MEASURED (honest negative).** Extends ADR-261's quantized index from 1-bit to **`b`-bit-per-dimension** (`b ∈ {1,2,4}`, 16/32/64 B/node) over the Pass-2 rotated coordinates, and runs a deterministic scaling study (N ∈ {10k, 100k, 250k}) to test M1's *prediction* of a large-N crossover. **Result: no crossover at any measured (N, b), and the trend refutes the prediction.** At N=10k more bits lift the equal-recall QPS ratio (0.19×→0.46×→0.48×) and let b≥2 reach the 0.90 recall bar 1-bit missed — but quant stays slower than float HNSW at equal recall; at N=100k/250k quant recall *collapses* (b=4: 1.000→0.788→0.624, never ≥0.90) while float holds ≥0.92 (denser graph → low-bit codes can't separate near-neighbours, beam goes off-path faster than the float-distance saving repays). Caveat: our HNSW + our per-node multi-bit code, not SymphonyQG's RaBitQ-fused graph — refutes the *direction* at ≤250k, not their million-scale numbers. ruvector lib **151→156** (+5 tests; `scaling_report``#[ignore]` produced the table). A published negative with the mechanism explained. ADR-261 §11.
- **ADR-260: RuField MFS — the open specification for camera-free multimodal field sensing.** A common event / tensor / calibration / privacy / provenance model that sits *above* WiFi CSI/CIR/BFLD, UWB, BLE Channel Sounding, mmWave radar, ultrasound, subsonic, infrared, and future quantum sensors (each modality emits a normalized `FieldEvent` → `FieldTensor` → `FusionGraph` → `PrivacyClass` → `ProvenanceReceipt`). Published as a **standalone repo** [`ruvnet/rufield`](https://github.com/ruvnet/rufield) and vendored here as the `vendor/rufield` submodule (the `vendor/rvcsi` pattern — not a `v2/` workspace member). The v0.1 reference stack is a self-contained 6-crate Rust workspace (`rufield-core`, `-provenance` [sha256 + ed25519], `-privacy` [P0–P5 guard], `-adapters` [deterministic `SyntheticSim` across wifi_csi/mmwave_radar/infrared_thermal], `-fusion` [graph + TOML weighted-Bayes rules → 7 room-state inferences], `-bench` [deterministic runner + the §31 acceptance test]). **60 tests / 0 failed, clippy-clean.** §27 acceptance criteria 1–8 and 10 PASS; the live dashboard (9) is deferred. **All benchmark metrics are SYNTHETIC** (scored against the simulator's own ground truth — presence/breathing/bed_exit/room_transition F1 = 1.000, nocturnal_scratch 0.923 reported honestly, p95 latency ~0.01 ms, provenance coverage 100%, 0 privacy violations) — they prove the pipeline recovers known truth, **not** field accuracy; real hardware adapters (ESP32 CSI, mmWave, thermal IR) are a documented roadmap item, none validated in v0.1. The Python deterministic proof is unchanged (rufield is off the signal-processing proof path).
### Security
- **`homecore-assist` voice/intent pipeline security review — one real unbounded-utterance DoS fixed (fail-closed length bound), pinned by fails-on-old tests; command-injection / ReDoS / NaN-poisoning / intent-confusion dimensions confirmed clean with evidence (ADR-133).** Beyond-SOTA review of the HA-compat Assist pipeline (utterance → recognizer → intent → handler → action, plus the `RufloRunner`) — the untrusted-input → action path, un-covered by the ADR-154–159 sweep. **One real finding fixed.****HC-ASSIST-01 (unbounded-utterance DoS, LOW):** both `RegexIntentRecognizer::recognize` and the semantic `recognize_scored` accepted utterances of unbounded length from untrusted callers (voice transcripts / the WebSocket `assist` command) and ran `to_lowercase()` (a full clone) + a per-registered-pattern scan (and, in the semantic path, full tokenisation + feature-hash embedding) before any bound — an allocation/CPU amplification on attacker-controlled input. The `regex` crate is **linear-time** (no catastrophic backtracking), so this was a throughput/memory DoS, not a hang. **Fixed** by a named `MAX_UTTERANCE_BYTES = 4096` (far above any real spoken command) checked at both recognizer boundaries **before** any allocation/scan; an over-length utterance **fails closed** to `Ok(None)` (no intent, no action), identical to an unrecognised phrase, so it can never be coerced into firing a handler. Legitimate commands unaffected. Pinned by `over_length_utterance_fails_closed` (an over-length utterance that *contains* a valid command resolves to `None` — would have matched on old code) and `over_length_utterance_fails_closed_semantic`. **Dimensions confirmed clean (with evidence, no invented issues):** (1) **command/argument injection** — there is **no subprocess surface**: the `RufloRunner` has exactly two impls, `NoopRunner` (no process) and `LocalRunner` (runs the local recognizer, no process); no `std::process`/`tokio::process`/`Command`/`.spawn()` on any process exists in the crate (`spawn` is a `started: bool` lifecycle flag), and `RufloRunnerOpts.{script_path,env}` are inert data **never consumed** — the live `node ruflo-agent.js` runner is genuinely data-gated/future per the doc-comments. Additionally the `entity_id` capture class `[a-z_][a-z0-9_ .]*`**excludes every shell/SQL metacharacter**, so even when an injection-shaped utterance resolves (the regex is not exact-anchored) the captured slot is a clean token — sanitisation by construction (pinned by `shell_metachars_never_survive_into_a_resolved_slot`, `runner_opts_are_inert_no_process_spawned`, `pipeline_injection_shaped_utterance_carries_no_metachars_to_service`). (2) **ReDoS** — `regex 1.12.3` (no `fancy-regex` in the tree) is a linear-time finite automaton; a classic `(a+)+$` shape on adversarial input completes in bounded time (`pathological_backtracking_pattern_completes_in_bounded_time`). (3) **NaN-poisoning** — embeddings are **structurally finite** (FNV feature-hash + guarded L2 normalise, no external float input, no unguarded division), so a crafted utterance cannot inject NaN/Inf into the cosine k-NN; cosine vs the zero vector is a finite `0.0`; empty-index `max_by` returns `None` (no panic); the NaN-safe `partial_cmp().unwrap_or(Equal)` is already in place (`embeddings_are_structurally_finite`, `cosine_with_zero_vector_is_finite_not_nan`, `empty_utterance_against_empty_index_no_panic_no_match`). (4) **intent confusion / fail-closed** — an unrecognised utterance returns `not_understood()` (no service call), a recognised intent with no registered handler also returns `not_understood()`, semantic below-threshold/empty-index falls back to regex; no default high-privilege intent, no fail-open (`pipeline_injection_shaped_utterance_fires_no_handler` evidence + existing pipeline tests). (5) **panic-on-input** — no `unwrap`/`expect`/index reachable from a crafted utterance (the one `exemplars[id]` index uses an `id` from `enumerate()` over the append-only Vec). `cargo test -p homecore-assist --no-default-features`: **29→36 passed, 0 failed** (+7); default/`semantic`: **39→48, 0 failed** (+9). Workspace green; Python deterministic proof unchanged (homecore-assist is off the signal proof path). Review notes appended to ADR-133.
- **`homecore-automation` security review — two real DoS findings fixed (template unbounded-expansion + delay panic-on-config), each pinned by a fails-on-old test; condition-bypass / fail-closed / action-authz dimensions confirmed clean (ADR-129 §8a).** Beyond-SOTA review of the HA-compat automation engine (the execution/eval surface: triggers → conditions → actions, with user-config Jinja2 templates), un-covered by the ADR-154–159 sweep. **HC-SEC-01 (template DoS, HIGH):** a `template:` condition / `value_template` is user config and was rendered with MiniJinja's defaults — **no instruction budget, no output cap**. A single nested-loop condition rendered a **100 MB string in ~11 s on one render call** (measured) — the bfld-class unbounded expansion (MiniJinja's per-call `range()` 10k cap does **not** stop nesting). **Fixed** by enabling MiniJinja's `fuel` feature + `set_fuel(Some(1_000_000))` (the attack now fails fast ~90 ms with "engine ran out of fuel") and a 64 KiB source-length cap; legitimate templates unaffected. **HC-SEC-02 (panic-on-config DoS, MEDIUM):**`Action::Delay`/`WaitForTrigger` fed the user float straight into `Duration::from_secs_f64`, which **panics** on negative/NaN/inf/overflow — all reachable from a crafted or typo'd YAML (`delay: {seconds: -1}`, `.nan`, `.inf`, `1e308`), aborting the spawned run task (measured panic). **Fixed** by a `safe_duration_from_secs` guard that saturates (NaN/±inf/negative → `0`, matching HA's lenient "non-positive delay = no delay"; huge → clamped to ~100 yr). **Dimensions probed clean (evidence in ADR-129 §8a):** condition eval is **fail-closed** (template-render error → `false`; un-parseable `choose` branch condition → branch skipped, never silently passing); run-modes are **bounded** (Single/Restart/Queued/`max:N` — a self-triggering automation does not livelock, ADR-162 tests); templates are **read-only sandboxed** (no service-call/state-set global exposed to template scope, so a template cannot escalate to an action); no `unwrap`/`expect`/index panic reachable from a crafted config in the eval/exec path beyond the fixed `from_secs_f64`. Fails-on-old verified by reverting each fix in isolation (delay tests panic; template nested-loop test runs unbounded >60 s; oversized-source test fails). `cargo test -p homecore-automation --no-default-features`: **40 → 54 passed, 0 failed** (+14: 4 template-DoS, 1 no-regression render, 5 delay/wait + safe-duration unit). Workspace green; Python deterministic proof unchanged (homecore-automation is off the signal proof path).
- **`cog-ha-matter` witness/manifest crypto review — engine-class signed-digest collision confirmed ABSENT (length-prefixing already correct); domain-separation tag ADDED + `verify_strict` HARDENED; key-handling & verify-before-trust confirmed clean (ADR-116 §2.2).** Beyond-SOTA crypto+security review of the Cognitum/HA-Matter bridge's SHA-256 + Ed25519 witness chain — the exact signing chain ADR-262 P2 proposes to reuse — un-covered by the ADR-154–159 sweep. **Top-priority check: the sibling `wifi-densepose-engine` bug class (unframed boundary-to-boundary concatenation of operator-influenceable strings into a signed/hashed digest).** Result reported honestly: **that bug class is ABSENT here** — `witness::canonical_bytes` already length-prefixes the two variable-length operator-influenceable fields (`kind_len:u32-be ‖ kind`, `payload_len:u32-be ‖ payload`) over fixed-width `prev_hash[32] ‖ seq:u64-be ‖ ts:u64-be`, an injective encoding (proven pre-existing by `canonical_bytes_length_prefixing_prevents_ambiguity`), and `witness_signing::sign_event`/`verify_signature` sign/verify the **identical** bytes the hash chain commits to (no separate unframed concatenation). The manifest `binary_signature` (Ed25519 over the fixed 64-hex-char `binary_sha256`) is signed **at build time by the Makefile**, not in-crate, and over a single fixed-length value — no in-crate manifest-signing concatenation surface. **Two real hardening gaps fixed, the first pinned by fails-on-old tests:**
- **CHM-WIT-01 (missing domain-separation tag, LOW) — ADDED.** The engine review's prescribed fix is "domain-tag **+** length-prefix"; the length-prefix half was present, the **domain tag was absent**. The witness SHA-256 preimage / Ed25519 message carried no tag distinguishing it from any other signing context that shares key infrastructure — notably the manifest `binary_signature`, the very chain ADR-262 P2 reuses. **Fix:** prepend a versioned, NUL-terminated `WITNESS_DOMAIN_TAG = b"cog-ha-matter/witness-event/v1\x00"` to `canonical_bytes` (the doc-comment already anticipated a leading version migration). Cross-protocol separation now holds: a witness signature can never be replayed as a message for another Ed25519 context. **Witness-bytes change by design** (prior on-disk witness hashes/signatures invalidated, like the engine fix) — verified safe: **no in-repo crate consumes cog-ha-matter's witness bytes/signatures programmatically** (all references are doc-comment mentions; the crate is self-contained, no `use cog_ha_matter::` anywhere). Pinned by `canonical_bytes_is_domain_separated`, `canonical_bytes_starts_with_domain_tag_then_prev_hash`, `witness_preimage_cannot_collide_with_a_bare_manifest_digest` (witness.rs) and `signature_commits_to_domain_tag_not_bare_fields` (witness_signing.rs — a signature over the **un-tagged** field concatenation must NOT verify); the domain-separation guard **FAILED on the reverted un-tagged encoding** ("canonical message is not domain-separated").
- **CHM-WIT-02 (permissive Ed25519 verification, LOW) — HARDENED to `verify_strict`.** For a tamper-evident **audit** chain the signature is the attestation, so `verify_signature` now uses `VerifyingKey::verify_strict` (rejects non-canonical encodings + small-order public keys per RFC 8032) instead of the permissive `Verifier::verify` — giving auditors the "one canonical signature per event" property they rely on when comparing/deduplicating signed records. Not a forgery fix (the public key is caller-pinned, never parsed from the event), reported at true LOW severity. Guarded by `verify_uses_strict_path_and_pins_caller_key`.
- **Dimensions confirmed clean (with evidence, no invented issues):** (1) **verify-before-trust + key-pinning** — `verify_signature` takes the verifying key as a **caller-supplied parameter** (the Seed's known key), never reads a key from the event/manifest, so a forged event carrying its own key cannot self-attest; `WitnessChain::read_jsonl` re-derives and re-checks every `this_hash` on load (tampered bundle → `HashMismatch`) and runs a chain-level `verify()` catching reordered/spliced events (existing `verify_rejects_*`, `jsonl_parser_rejects_tampered_payload`, `read_jsonl_chain_verify_catches_reordered_events`). (2) **key handling** — the crate **never generates, stores, logs, or serializes** a signing key: `sign_event` takes `&SigningKey` by reference, the manifest struct has no key field, and the only key material in-crate is the **test-only** fixed seed (clearly documented "DO NOT use in production"); production keys come from the Seed's secure key store (out of scope, ADR-116 §key-management). No hardcoded/default/predictable production key, no key in the manifest, no world-readable key path (the crate does no key file I/O). (3) **determinism/canonicalization** — `canonical_bytes` is pure positional bytes (no HashMap iteration, no float formatting); Ed25519 is deterministic (pinned by `signature_is_deterministic_for_same_event_and_key`); the JSONL wire form is hand-rolled with **alphabetically-locked** field order (`jsonl_field_order_is_alphabetical_for_byte_stability`) and the mdns TXT records are `sort()`-ed for byte-stable advertisement — no iteration-order or float-format nondeterminism feeds any hash/signature. (4) **fail-closed parsing / DoS** — `from_jsonl_line`/`from_hex`/`hex_decode` return structured errors (never panic) on wrong length, non-hex, missing field, odd-length payload, or hash mismatch (`jsonl_parser_rejects_non_hex_hash`, `hex_decode_rejects_odd_length`, …); `main.rs` reads no untrusted files/paths (clap args only; `--print-manifest` emits a static template) — no path/injection surface. (5) **de-magic** — the witness/signing byte layout is already expressed as named widths; no bare security-relevant literals worth extracting beyond the new named `WITNESS_DOMAIN_TAG`. `cog-ha-matter --no-default-features`: **64→68 tests**, 0 failed (+3 domain-tag witness, +1 signing-layer domain-commit, +1 strict-verify key-pin; one pre-existing test renamed to assert the tag). Workspace green; Python deterministic proof unchanged (`f8e76f21…46f7a`, bit-exact — cog-ha-matter is off the signal proof path). Review notes appended to ADR-116 §2.2.
- **`homecore-api` (HA-wire-compat REST + WebSocket) beyond-SOTA security review — `GET /api/` auth-gate gap FIXED + WS event-stream lag-DoS robustness FIXED; auth/traversal/injection/info-leak dimensions confirmed clean (ADR-161 / ADR-130).** Network-facing review of the HA-wire-compat API layer (remote attack surface), not covered by the ADR-154–159 sweep — same scrutiny the sibling `wifi-densepose-engine` and `-bfld` reviews got. **Two real bugs fixed, each pinned by a fails-on-old test.**
- **HC-API-AUTH-01 (auth-gate gap, LOW) — `GET /api/` was unauthenticated; FIXED.** Every sibling REST route (`/api/config`, `/api/states`, `/api/services`, …) calls `BearerAuth::from_headers` first, but `rest::api_root` took no headers and unconditionally returned `200 {"message":"API running."}`. HA's `APIStatusView` inherits `requires_auth = True`, so an unauthenticated/wrong-token request to `/api/` must be **401** — HA clients use this status route as a token-validation probe, and a 200 both told a bad-token client its token was good and let an unauthenticated party confirm a live endpoint. Severity is LOW (the body is a static string — no entity/state data leaks), reported at true severity, not inflated. **Fix:**`api_root` now validates the bearer like its siblings. Pinned by `api_root_rejects_missing_bearer` + `api_root_rejects_wrong_bearer` (both 200→assert-401 on old code) and guarded by `api_root_accepts_correct_bearer`.
- **HC-WS-LAG-01 (DoS-adjacent silent failure, LOW) — `subscribe_events` killed the event stream on a broadcast lag; FIXED.** The per-subscription task matched `Err(_) => break` on both `broadcast::Receiver::recv()` arms, but `Lagged(n)` (a slow consumer falling >4,096 events — `EVENT_CHANNEL_CAPACITY` — behind) is **recoverable**: the bus doc itself says "Lagged receivers must re-sync", and HA's WS contract keeps the subscription alive across a lag. The old code treated the first lag as fatal, so after an event burst the client's stream went **permanently silent** with no error frame — a self-inflicted event-delivery DoS under load. **Fix:**`Lagged(_) => continue` (skip the dropped window, re-sync), `Closed => break`, on both the system and domain arms. Pinned by `subscription_survives_broadcast_lag` (subscribes, floods 6,000 filtered events past the 4,096 capacity to force a `Lagged`, then asserts a subsequent subscribed event is still delivered — 5s-timeout panic on old code).
- **Dimensions confirmed clean (with evidence, no invented issues):** (1) **AuthN/AuthZ** — all 7 other REST handlers (`get_config`/`get_states`/`get_state`/`set_state`/`delete_state`/`get_services`/`call_service`) gate on `BearerAuth::from_headers` → `LongLivedTokenStore::is_valid` before any work; the WS handshake validates the `auth` token against the **same** store before entering the command loop and the privileged commands are unreachable pre-`auth_ok` (HC-WS-01, already fixed). Token compare is a `HashSet::contains` (content-independent timing, not the byte-`==` oracle ADR-157 §B4 fixed in hardware) — no timing-oracle finding. No route skips the gate, no result-ignored check, no default/empty token accepted (`is_valid` rejects empty internally; `from_env` is non-dev). (2) **Path traversal** — **no route maps user input to a filesystem path** (state lives in an in-memory `DashMap`); `:entity_id` is funneled through `EntityId::parse`, a strict `[a-z0-9_]+\.[a-z0-9_]+` ASCII allowlist that rejects `..`, `/`, `\`, and absolute paths. No traversal surface exists. (3) **Injection** — no SQL, no shell/subprocess, no `format!`-into-response; `call_service`/`set_state` bodies are typed `serde_json::Value` passed to the in-process service registry (matches HA). (4) **Info-leak** — `ApiError` maps to fixed status + a `{message}` derived only from typed variants; `call_service`'s `ServiceError::HandlerFailed(String)` is integration-controlled (mirrors HA surfacing the handler error), not framework internals/paths/stack-traces (no ADR-080-class leak). (5) **CORS** is an explicit allowlist (`allow_credentials(false)`, HC-05 already fixed), not `permissive()`. (6) **De-magic** — no bare security-relevant literals in this crate worth extracting (`EVENT_CHANNEL_CAPACITY` already named in `homecore`; CORS dev-default ports are documented). `homecore-api --no-default-features`: **25→29 tests**, 0 failed (+2 api-root auth, +1 api-root accept-guard, +1 WS lag-survival); workspace green; Python deterministic proof unchanged (homecore-api is off the signal proof path). Review notes appended to ADR-161.
- **`wifi-densepose-calibration` per-room calibration review — NaN-poisoning fail-closed gap FIXED + file/path & receipt surfaces confirmed clean (ADR-151).** Beyond-SOTA correctness+security review of the ADR-151 `baseline → enroll → extract → train → bank` pipeline (the appliance-deployed per-room specialist core), un-covered by the ADR-154–159 sweep. **One real numerical-robustness bug fixed.**`Features::from_series` — the live-inference *and* training feature path — computed `mean`/`variance`/`motion` over the raw scalar series with **no non-finite guard**, so a single `NaN`/`±inf` sample (a corrupt CSI frame) produced `mean=NaN, variance=NaN` and an all-`NaN` prototype embedding. Baked into a persisted `PresenceSpecialist::threshold`/`empty_mean` at train time, that `NaN`**silently disabled presence detection** for the life of the bank (every `f.variance > NaN` and `|mean − NaN|` comparison is false → presence always reads *absent*, confidence 0), with **no error raised** — the exact "produce NaN that poisons a specialist / silently accept garbage" failure, and an asymmetry vs the meticulously NaN-guarded `geometry_embedding.rs`. **Fix at the production boundary:** filter non-finite samples before any statistic (a corrupt frame counts as no frame); a wholly-non-finite series degrades to the new `Features::ZERO`, exactly like the empty series. **Value-identical for all-finite input** — `full_loop.rs` and every existing `extract` test pass unchanged. Pinned by two fails-on-old tests (`non_finite_samples_do_not_poison_features`, `all_non_finite_series_is_zero`, both FAILED pre-fix). **Dimensions confirmed clean (with evidence, no invented issues):** (1) **file/path handling** — the crate does **zero** file/path I/O (no `std::fs`/`Path`/`File`/`read`/`write` anywhere in `src/`; only in-memory `serde_json`), so path-traversal / unbounded-read / artifact-path concerns do not exist at the crate boundary — they live in the `wifi-densepose-cli` consumer (`room.rs`), out of this crate's scope; (2) **untrusted-load** — `SpecialistBank::from_json` parse-validates shape via serde (malformed → `CalibrationError::Serde`), and per ADR-151 invariant (B) banks are local-first, never network-received; (3) **receipt/hash integrity** — the crate emits **no** hash/receipt/witness/signature (no `CalibrationReceipt` analogue), so the engine's unframed-concatenation bug class is structurally absent — nothing to mis-frame; (4) **other numerical paths already robust** — `geometry_embedding.rs` sanitizes every input + sweeps to finite (verified by its `adversarial_inputs_never_produce_nan` test); presence/restlessness/anomaly divisions are all `.max(1e-3)`-guarded; `autocorr_dominant` guards `r0 ≤ 1e-6`, `n < 16`, empty bands; `SpecialistBank::train` rejects empty anchors; anomaly requires ≥2 anchors. De-magicked the bare specialist threshold literals (breathing 0.25 / heartbeat 0.3 default min-scores, anomaly 2.0× spread / >0.5 label cutoff) into named documented consts, value-identical, pinned by `default_min_score_constants_match_prior_literals` + `anomaly_constants_match_prior_literals`. `wifi-densepose-calibration --no-default-features`: **58→62 unit tests** (+2 NaN fail-closed, +2 de-magic pins) + 1 full-loop integration, 0 failed. Python deterministic proof unchanged (`f8e76f21…46f7a`, bit-exact — calibration is off the signal proof path). Review notes appended to ADR-151 §6.
- **`wifi-densepose-engine` governed-trust review — witness domain-separation gap FIXED + privacy monotonicity confirmed clean (ADR-137 / ADR-141 / ADR-032).** Beyond-SOTA correctness+security review of the security-critical composition root (the cycle enforcing RuView's privacy guarantees), not covered by the ADR-154–159 sweep. **One real witness-integrity bug fixed.**`witness_of` concatenated `model_version`, `calibration_version`, and `privacy_decision` boundary-to-boundary and left the variable-length evidence list without a count, so a string straddling a field boundary collided with a *different* trust decision — e.g. a per-room adapter id (ADR-150 §3.4, operator-influenceable) absorbing the leading bytes of the calibration epoch (`model="…cal:00a"`,`cal="b"`) yields the same witness as `model="…"`,`cal="cal:00ab"`. Two distinct privacy-relevant input tuples → one witness defeats the ADR-137 §2.7 "any privacy-relevant delta → different witness" tamper/drift audit. **Fix:** domain-tag the BLAKE3 hash (`ruview.engine.witness.v1`), write an explicit evidence count, and **length-prefix every field** (8-byte LE length ‖ bytes) — unambiguous framing regardless of contents. Witness-layout change by design (prior witness bytes invalidated); downstream consumers (`engine_bridge`, rufield) assert only witness *relationships* (`assert_ne`/`assert_eq` across runs), never absolute bytes, so nothing breaks. Pinned by two fails-on-old tests: `witness_distinguishes_model_calibration_boundary`, `witness_distinguishes_evidence_model_boundary`. **Dimensions confirmed clean (with evidence, no invented issues):** (1) **privacy monotonicity** — `effective_class` is recomputed each cycle from the active mode's floor with at most a single-step `demote_one` (clamped at `Restricted`), no cross-cycle state, proven over **all 5 modes** by `forced_contradiction_never_relaxes_class` (forced contradiction only ever raises the class byte; clean cycle == base); (2) **fail-closed** — empty cycle errors with no degenerate output (`empty_cycle_fails_closed`), single-node boundary characterized (`single_node_cycle_is_well_formed`), NaN coupling → `max(0.0)`→absent edge→at-risk (more restrictive); (3) **witness determinism** — no HashMap iteration / float formatting feeds the hash; (4) **mesh_guard** (ADR-032) — partition-risk → demotion path verified, thresholds already named documented fields. De-magicked the engine-construction literals (coherence accept gate, ADR-143 SLAM discovery + static-anchor thresholds) into named documented consts, value-identical, pinned by `engine_constants_match_prior_values`. `wifi-densepose-engine --no-default-features`: **27→33 tests**, 0 failed (+2 witness, +1 monotonicity property, +2 fail-closed boundary, +1 de-magic pin). Python deterministic proof unchanged (`f8e76f21…46f7a`, bit-exact — the engine is off the signal proof path). Review notes appended to ADR-137 (witness) and ADR-141 (monotonicity).
- **ADR-141 BFLD privacy-bypass closed — `process_to_frame` now routes the payload through `PrivacyGate` (`wifi-densepose-bfld`).**`BfldPipeline::process_to_frame` stamped the emitted `BfldFrame` header with the active `PrivacyClass` but serialized the caller-supplied `BfldPayload`**unchanged** via `BfldFrame::from_payload`. A frame labeled `Anonymous`(2) or `Restricted`(3) therefore carried the full identity-leaky `compressed_angle_matrix` (the beamforming-angle identity surface) + amplitude/phase proxies + `csi_delta` — exactly the sections `PrivacyGate::demote` is documented and tested (`privacy_gate_demote.rs`) to strip at those classes. Because a `NetworkSink` accepts class ≥ `Derived`(1), such a frame would publish the identity surface across the node boundary despite its restrictive class byte; the class byte lied about payload content. **Fix:** after building the frame at the active class, apply `PrivacyGate::demote` to the same class — a no-op class transition that strips the sections that class forbids (research classes `Raw`/`Derived` keep the full payload). Pinned by three fails-on-old tests in `pipeline_to_frame.rs` (`…_at_anonymous_strips_identity_leaky_sections`, `…_in_privacy_mode_strips_amplitude_and_phase` — both FAILED pre-fix; `…_at_derived_preserves_full_payload` guards against over-stripping). Grade: privacy-bypass FIXED + regression-pinned.
- **ADR-157 Milestone-1 B4 - constant-time HMAC sync-beacon tag compare (`wifi-densepose-hardware`).**`AuthenticatedBeacon::verify` compared the 8-byte HMAC-SHA256 tag with `self.hmac_tag == expected`, which short-circuits on the first differing byte and leaks, through verification latency, how many leading bytes an attacker's forged tag matched - a byte-by-byte tag-recovery oracle (~256*N trials instead of 256^N). Replaced with a hand-rolled branch-free `constant_time_tag_eq` (XOR-accumulate every byte difference into a single `u8`, no early exit, `#[inline(never)]` + `core::hint::black_box` to stop the optimizer reintroducing a short-circuit or a non-constant-time `memcmp`). **No new dependency** - ADR-157 had deferred this only to avoid adding the `subtle` crate; a fixed 8-byte compare needs none. Grade MEASURED (constant-time *construction*; micro-timing on a noisy host is a smoke check only, gated `#[ignore]`). Pinned by `tag_compare_is_constant_time_shape` (equal/first-differ/last-differ/all-differ/length-mismatch + an end-to-end `verify()` last-byte tamper), proven to fail on a last-byte-skipping constant-time bug. ADR-157 §8 B4 -> RESOLVED.
- **ADR-080 open HIGH findings closed on the Rust `wifi-densepose-sensing-server` boundary (ADR-164 G11).** The QE sweep's three HIGH findings — XFF-spoofing bypass, leaked stack traces, JWT-in-URL (CWE-598) — were logged against the Python v1 API and never re-verified against the shipped Rust sensing-server; the HOMECORE/M7 sweep (ADR-161) covered `homecore-server`, not this crate.
- **#2 leaked internal errors (the one live exposure) — FIXED.** Six handlers in `main.rs` serialized the internal error `Display` straight into the JSON response body: `edge_registry_endpoint` returned a panicked `spawn_blocking``JoinError` (`"task … panicked"`) in a `500`, plus the raw upstream error in a `503`; `delete_model`/`delete_recording`/`start_recording` returned `std::io::Error` strings (OS detail / path); `calibration_start`/`calibration_stop` returned the `FieldModel` error chain. New `error_response` module logs the full detail **server-side only** (with a correlation id) and returns a generic body (`{"error":"internal_error","correlation_id":…}`) — no `panicked`, no file paths, no Debug chain. 5 module tests (a leak-substring guard proven to fail on the reverted old body) + the existing handler suite.
- **#1 XFF-spoofing bypass — VERIFIED ABSENT, regression-pinned.** The sensing-server has no XFF-trusting control to bypass: there is no IP-based rate-limiter or IP-allowlist, and neither `bearer_auth` (token-only) nor `host_validation` (Host-header only) reads `X-Forwarded-For`/`X-Forwarded-Host` (no `forwarded`/`peer_addr`/`client_ip` anywhere in the crate). Added regression tests proving a spoofed `X-Forwarded-For` never flips an auth decision and a spoofed `X-Forwarded-Host` never bypasses the Host allowlist.
- **#3 JWT-in-URL (CWE-598) — VERIFIED ABSENT, regression-pinned.** `require_bearer` reads the token only from the `Authorization` header; the WebSocket handlers take no token query param and the sole `Query` extractor (`EdgeRegistryParams`) is a non-secret `refresh` flag. Added a regression proving `?token=`/`?access_token=` in the URL never authenticates while the header path still does.
### Fixed
- **`wifi-densepose-geo` numerical-robustness audit — `parse_hgt` degenerate-input panic FIXED + `haversine` antipodal NaN FIXED; pole-singularity & pointcloud NaN-state-poisoning confirmed clean (ADR-154-class sweep).** Targeted numerical-robustness audit of `wifi-densepose-geo` + `wifi-densepose-pointcloud`, hunting the proven non-finite-input-poisons-persistent-state class. **Two real bugs in `geo`, each pinned by a fails-on-old test.** (1) **`terrain.rs::parse_hgt` usize-underflow panic** — `side = sqrt(n_samples)`; for an empty / sub-2x2 buffer `side ≤ 1`, so `1.0 / (side - 1)` underflows `usize` (panic "attempt to subtract with overflow" in debug; wraps to a huge value in release → garbage/inf `cell_size_deg` that then poisons every `ElevationGrid::get` lookup). A truncated SRTM download, a 404 HTML body, or an empty response all reach `parse_hgt` — now `bail!`s with a clear error when `side < 2`. Pinned by `parse_hgt_empty_data_errors_not_panics` (panicked pre-fix) + `parse_hgt_single_sample_errors` (returned inf pre-fix) + a `parse_hgt_minimal_2x2_is_finite` guard. (2) **`coord.rs::haversine` asin-domain → NaN** — for (near-)antipodal points floating rounding can push `h.sqrt()` to `1.0 + ~4e-16`, and `asin(>1)` is NaN, silently breaking every downstream `<`/`>` distance comparison (verified: pair `(-44.4994,-178.95722)→(44.49939999,1.04278001)` yields `h=1.0000000000000004`). Fixed by clamping into `[0,1]` before `asin`. Pinned by `haversine_near_antipodal_is_finite_not_nan` (NaN pre-fix). The ±90° pole-singularity (`cos(lat)=0` division in the ENU transforms) is pinned as no-panic without changing the transform (value-identical for valid inputs). **`wifi-densepose-pointcloud` is confirmed-robust — no bug, no manufactured finding:** the only persistent auto-accumulating state (`occupancy` EMA, vitals) is fed exclusively from the integer-rssi/`sqrt`/`atan2` parser, which can only emit finite values, and the persistent state is provably self-healing even under an adversarial hand-built `CsiFrame` carrying NaN/inf amplitudes+phases (`motion_score=(NaN/100).min(1.0)→1.0`; breathing path `→0→clamp(5,40)→5.0`; tomography EMA uses only integer rssi). Pinned by `nonfinite_frame_does_not_poison_persistent_state` (injects 40 poisoned frames, asserts occupancy/vitals stay finite + the pipeline recovers) and three degenerate-voxel-fusion no-panic tests (empty/single/all-coincident). `wifi-densepose-geo --no-default-features`: 9→15 lib (+6), 8 integration unchanged; `wifi-densepose-pointcloud`: 18→22 (+4); 0 failed; workspace green; Python proof unchanged (`f8e76f21…46f7a`, bit-exact — both crates off the signal proof path).
- **Vitals IIR filters self-heal after a non-finite CSI frame — a single NaN/inf no longer permanently kills breathing & heart-rate extraction (`wifi-densepose-vitals`, safety; ADR-021 / ADR-158 §A1).** The 2nd-order resonator in `breathing::BreathingExtractor::bandpass_filter` and `heartrate::HeartRateExtractor::bandpass_filter` latches each output `y[n]` into the filter state (`y1`/`y2`). A non-finite input — one NaN/inf amplitude residual from a corrupt CSI frame — produced a NaN `output` that was written into the state. The existing `extract()``is_finite()` guard correctly dropped that single sample from history, **but never sanitized the poisoned filter state**, so every subsequent output stayed NaN, was rejected too, and the sliding-window history *never refilled*: the extractor went silently dead (returning `None` forever) until `reset()`. On the vitals alert path this is a safety-relevant denial of service — one bad frame and breathing **and** heart-rate monitoring stop, with no error surfaced. Fix: when `bandpass_filter` computes a non-finite `output` it now resets the IIR state to default and returns `0.0`, so the resonator recovers on the next clean frame (the `0.0` is still dropped by the caller's finite-check — no spurious sample enters history). Same class as the calibration NaN bug (ADR-154 §3) and the firmware vitals fixes (#998/#996/#987): the prior hardening guarded the *history boundary* but not the *filter-state boundary*. Pinned by `breathing::tests::nan_frame_does_not_permanently_poison_filter`, `breathing::tests::inf_mid_stream_does_not_freeze_history`, and `heartrate::tests::nan_frame_does_not_permanently_poison_filter` (all three FAIL on the pre-fix code, verified by reverting). Also de-magicked the safety-critical HR physiological plausibility band into named `HR_PLAUSIBLE_MIN_BPM`/`HR_PLAUSIBLE_MAX_BPM` consts (value-identical 40/180 BPM, pinned by `plausibility_band_constants_pinned`) and added a fabricated-vital negative (`pure_noise_is_never_reported_valid` — broadband noise never yields a clinically `Valid` HR). `wifi-densepose-vitals --no-default-features`: 55→60 lib tests, 0 failed; workspace green; Python proof unchanged (vitals is off the deterministic proof's signal path).
- **BFLD MQTT `zone_activity` payload now JSON-escapes the zone name (`wifi-densepose-bfld`).**`mqtt_topics::render_events` emitted the zone payload as `format!("\"{zone}\"")` with no escaping, while `ha_discovery.rs` already escapes operator-controlled strings. A zone name containing a `"` or `\` produced malformed/injectable JSON on the Home-Assistant state topic (e.g. zone `a"b` → payload `"a"b"`). Added a `json_string_literal` escaper mirroring `ha_discovery::push_str_field` and applied it to the zone payload — value-identical for normal zone names (`living_room`, …). Pinned by `zone_payload_escapes_json_metacharacters` (FAILED pre-fix; round-trips through `serde_json`); the existing `zone_payload_is_json_string_with_quotes` still passes unchanged.
- **ESP32 vitals: `n_persons` over-counted (reported 4 for one person) + presence flag flickered at close range (#998, #996).** Two firmware logic bugs in `firmware/esp32-csi-node/main/edge_processing.c`, both robustness/logic fixes — **not** validated-accuracy claims (true count/PCK vs labelled ground truth stays hardware/data-gated on the COM9 ESP32-S3).
- **#998 over-count — root cause + fix.** `update_multi_person_vitals()` split the top-K subcarriers into `top_k_count/2` groups and marked **every** group `active` unconditionally, so one body's multipath always reported the full `EDGE_MAX_PERSONS` (=4). New pure, host-testable `count_distinct_persons()` gates each candidate group: (1) **energy gate** — a group's phase variance must be ≥ `EDGE_PERSON_MIN_ENERGY_RATIO` (0.35) × the strongest group's, so weak multipath echoes don't count; (2) **spatial dedup** — groups whose representative subcarriers sit within `EDGE_PERSON_MIN_SC_SEP` (4) of each other are the same body. A `person_count_debounce()` then requires the gated count to hold `EDGE_PERSON_PERSIST_FRAMES` (3) consecutive frames before it's emitted, so a single noisy frame can't promote a phantom. The strongest group always counts (a present body yields ≥1). All thresholds are named, documented constants in `edge_processing.h`.
- **#996 presence flicker — root cause + fix.** Presence was a bare `score > threshold` compare on a noisy `presence_score` (field-observed 2.6–26.7 frame-to-frame for one stationary person), so the boolean chattered at the boundary while the score clearly indicated a person. New pure `presence_flag_update()` is a Schmitt trigger + clear-debounce: assert above `threshold`, **hold** in the dead band down to `threshold × EDGE_PRESENCE_HYST_RATIO` (0.5), and only clear after the score stays below the low threshold for `EDGE_PRESENCE_CLEAR_FRAMES` (5) consecutive frames. The score itself is unchanged (and still emitted at packet offset 20 for consumer-side thresholding). Constants named/documented in `edge_processing.h`.
- **Tests:**`firmware/esp32-csi-node/test/test_vitals_count_presence.c` (host C99, `make run_vitals`) — 13 cases / 22 assertions, all passing under gcc 13 `-Wall -Wextra`. Pins: single-strong-signature + multipath → count==1; two well-separated → count==2; two strong-but-adjacent → 1 (dedup); transient count spike rejected; sustained change accepted; dithering presence trace → stable flag (no flicker); genuine departure → clears within hold window. The named tuning constants are `#include`d from the real header so the test and firmware can't disagree. **Hardware-gated caveat:** these pin the decision *logic*; the exact energy/separation/hysteresis values that best match a real room vs labelled occupancy remain on-device tuning (COM9 ESP32-S3 + ground truth).
- **Observatory 3D figure never animated — `/ws/sensing` omitted per-person `position`/`motion_score`/`pose` (#1050).** The `sensing_update` frame shipped `nodes`/`features`/`classification`/`signal_field` and a `persons[]` carrying only image-space `keypoints`/`bbox`/`zone`; the Observatory's `FigurePool`/`PoseSystem` (and `demo-data.js`'s own contract) animate each figure from `persons[i].position` (room-world `[x,y,z]`), `persons[i].motion_score` (0..100), and `persons[i].pose`, none of which the live stream emitted — so the figure sat static while signal metrics updated. **Honest scope (Case 2 — no calibrated per-person localizer exists):** a single ESP32 link does not produce calibrated room-coordinate localization or per-person skeletal pose, so the fix emits only what is *truthfully derivable*. New `field_localize` module reads the **strongest peak(s)** out of the frame's real `signal_field` grid (already built from measured subcarrier variances × measured motion-band power) and maps the peak cell to Observatory world coordinates with the **exact**`_buildSignalField` transform (`x=(ix−nx/2)·0.6`, `z=(iz−nz/2)·0.5`, `y=0`), so the figure lands on the field hotspot it stands on. `motion_score` is the measured `motion_band_power` passed through (clamped 0..100); `pose` is set **only** from a real aggregate `posture` estimate when one exists, else `None` (never a fabricated skeleton — per-person pose keypoints in room coordinates stay gated on the pose model + ADR-079 paired data). An empty / below-threshold field yields `persons: []` (no phantom person); a present person on a field with no resolvable peak keeps `position=[0,0,0]` (not invented coords) while `motion_score` stays real. `attach_field_positions` runs after the tracker step at all five broadcast sites. **No UI change required** — the Observatory already reads these fields and defaults `pose`→`'standing'` when absent. New `PersonDetection.position`/`motion_score`/`pose` fields added to both the `main.rs`-local and `types.rs` structs. Pinned by 10 tests: `field_localize` peak-extraction/coordinate-mapping/empty-field/separation unit tests + `observatory_persons_field_position_tests` (`sensing_update_emits_persons_with_field_derived_position` feeds a synthetic field with a known peak at cell (15,4) and asserts the emitted `position` = `[3.0, 0, −3.0]` within tolerance; `empty_room_yields_no_phantom_person`; `pose_is_real_when_posture_present_and_absent_otherwise`; `present_but_below_threshold_field_keeps_position_at_origin_not_fabricated`). `wifi-densepose-sensing-server --no-default-features`: bin **441→451**, 0 failed; workspace green; Python proof unchanged (off the deterministic proof path).
- **ADR-155 Milestone-1b — metric-definition unification, the §8 backlog subset (Goals A/B/C).** Closed the two §8 metric-integrity items; every change pinned by a test, graded MEASURED. The audit (Goal A) also surfaced findings the §1 table under-counted — recorded honestly in ADR-155 §8.1, not hidden. Workspace stays green; Python proof unchanged (metrics are not on the deterministic proof's signal path).
- **Goal B — `test_metrics.rs` now validates the production metric, not a reimplementation.** The integration test previously asserted properties of its OWN local `compute_pck`/`compute_oks` (a test that can't catch a canonical-impl bug — both could be wrong the same way). Hoisted the canonical core (`pck_canonical`/`oks_canonical`/`canonical_torso_size`/sigmas/`bounding_box_diagonal`) into a new **un-gated**`metrics_core` module so the single definition is reachable under `cargo test --no-default-features` (the `metrics` module is `tch-backend`-gated); `metrics` re-exports it → still exactly ONE implementation. Rewrote the test to assert the production `pck_canonical`/`oks_canonical` equal **hand-computed** fixtures (`canonical_pck_matches_hand_computed_fixture` = 3/4 correct ⇒ 0.75; hip↔hip normalizer pin; zero-visible⇒0.0; OKS perfect⇒1.0; fake-Gold pin) plus a differential cross-check (`test_kernel_agrees_with_canonical`: an independent raw-threshold kernel must AGREE with canonical where torso==1.0). `wifi-densepose-train --no-default-features`: test_metrics **10→12**, 0 failed.
- **Goal C — divergent live-server PCK/OKS relabelled so they're never conflated with canonical.** Goal C named `training_api.rs:804` (torso-HEIGHT PCK); the audit found that file is an **orphan (not `mod`-declared, does not compile)** and the **real** live `best_pck`/`best_oks` come from `trainer.rs` — a **raw, unnormalized**`pck_at_threshold` and an **`area=1.0` fake-Gold** `oks_map` (both MISSED by ADR-155 §1, both on the claim-inflating side, both serialized as bare "PCK@0.2"/"OKS"). Torso-height/raw math is load-bearing (pixel-space, different scale axis, no `ndarray`/train dep), so the honest fix is **relabel, not force-unify**: `training_api.rs``compute_pck` → `compute_pck_torso_height` + field/log docs; `trainer.rs` kernels documented raw/fake-Gold; `main.rs` prints `pck_raw@0.2` / `oks_map(area=1.0 proxy)`. No wire-format field or `pub`-fn renames (no silent API break). Pinned by `torso_pck_is_labelled_distinctly_from_canonical` + `pck_at_threshold_is_raw_unnormalized_not_canonical`. `wifi-densepose-sensing-server --no-default-features`: lib **450→451**, 0 failed. True unification onto `pck_canonical`/`oks_canonical` remains a tracked ADR-155 §8 item.
- **Pre-existing `SketchBank::topk` heap inversion returned the FARTHEST sketches (found during ADR-156 §8 Pass-2 work).** The `n > k` partial-sort path in `wifi-densepose-ruvector/src/sketch.rs` used `BinaryHeap<Reverse<(dist,id)>>` (a min-heap) but its eviction logic treated the peek as the max, so it kept the k *farthest* sketches and returned them as "nearest." The shipped unit tests only exercised the `n ≤ k` fast path (≤ 3 entries), so the inversion shipped silently in ADR-084. Fixed to a plain max-heap. Pinned by `topk_heap_path_returns_nearest` (farthest-first insertion exposes it) and `tight_clusters_give_high_coverage_with_overfetch` (**measured 0.072 coverage on the old code** — effectively random — vs >0.99 fixed). Every ADR-084 top-K coverage number depends on the fixed path. MEASURED, not a no-op.
- **ADR-154 Milestone-1 — cleared the P1 deferred backlog in `wifi-densepose-signal` (§7.4 #1, #10; partial #9, #13).** Each fix pinned by a regression test that fails on the old behaviour; every claim graded MEASURED / DATA-GATED; no fabricated thresholds. Python proof unchanged (`f8e76f21…46f7a`, bit-exact — the CIR ghost-tap guard is not on the deterministic proof path).
- **#1 (MEASURED metric / DATA-GATED threshold): circular phase variance.** `cir.rs::phase_variance` computed a *linear* sample variance over phase angles that wrap at ±π, so a tightly-clustered set straddling the branch cut reported spuriously HIGH dispersion — false-tripping the `> TAU` ghost-tap **guard** on real, tightly-clustered CIR taps. Replaced with Mardia's **circular variance** V = 1 − R̄, bounded **[0,1]** and invariant to where the cluster sits on the circle. The old TAU-scaled threshold is meaningless on [0,1]; re-derived against a named const `GHOST_TAP_CIRCULAR_VARIANCE_MAX = 0.99` (fires only when R̄ ≤ 0.01 — essentially uniform phase). The **metric is MEASURED**; the **threshold value is DATA-GATED** (a clean single-path ramp also sweeps the circle, so V alone can't separate clean from unsanitized without labelled frames — the default is deliberately conservative, strictly more permissive at the wrap boundary than the buggy linear guard). Fails-on-old: `phase_variance_circular_not_fooled_by_branch_cut` (old linear variance > TAU on wrap-straddling phases while circular V≈0, guard no longer trips) + `phase_variance_circular_is_bounded_and_extremal` (V∈[0,1], V≈0 identical, V≈1 uniform).
- **#10 (MEASURED): Welford n=0/n=1 finiteness guard pinned.** The shared `WelfordStats` (`field_model.rs`) `count < 2` guards keep `variance`/`sample_variance`/`std_dev`/`z_score` finite at the boundaries, but the n=0 case was untested (same family as the §4 divide-by-(n−1) trio). Added `welford_finite_at_n0_and_n1` — finite + documented-sentinel (0.0) at n=0/n=1. Fails-on-old proof: removing the `sample_variance` guard makes the test panic with "attempt to subtract with overflow" at the `(count − 1)` underflow (guard restored).
- **#9, #13 (DATA-GATED): de-magicked thresholds + boundary tests (values UNCHANGED).** Lifted the bare detection literals in `adversarial.rs` (`check`/`check_consistency`: Gini 0.8, energy ratios 2.0/0.1, consistency 0.1·mean, score weights), `coherence.rs::classify_drift` (0.85, 10) and `coherence_gate.rs` defaults (0.85/0.5/200/3.0) into named, documented consts marked EMPIRICAL DEFAULT pending labelled calibration. Added characterization/boundary tests pinning each decision at/just-below/just-above its threshold (`energy_ratio_high_boundary`, `energy_ratio_low_boundary`, `field_model_gini_boundary`, `consistency_active_fraction_boundary`, `classify_drift_*_boundary`, `*_consts_unchanged_from_literals`) so a future labelled-data retune is a visible, tested change. The operating **values were not changed**; the de-magicking + tests are MEASURED, the values stay DATA-GATED.
- **Multistatic fusion guard was too tight for real TDM hardware (#1031).**`MultistaticConfig::default().guard_interval_us` was 5,000 µs (5 ms) with a comment claiming "well within the 50 ms TDMA cycle" — but on a real N-slot TDM schedule node `k` transmits in slot `k`, so two nodes are separated by the *slot offset*, not clock jitter. A real 2-node mesh (slots 0/1) measured an **18,194 µs** spread, so every real frame set exceeded the 5 ms guard and `fuse()` silently fell back to per-node sum/dedup — multistatic fusion never actually ran on hardware. Raised the default hard guard to **60 ms** (a full 50 ms TDMA cycle + 20% jitter headroom, derived from the slot model and documented in the field doc) and the soft guard to **20 ms** (just above the observed 18.2 ms 2-slot spread, so a normal cycle fuses cleanly with no privacy demotion). Added `MultistaticConfig::for_tdm_schedule(total_slots, slot_duration_us)` to derive the guard from a deployment's exact schedule, and a `WDP_TDM_SLOTS`+`WDP_TDM_SLOT_US` env seam in sensing-server. The honest per-node fallback remains for genuinely-mismatched frames — now the exception, not the default. Pinned by `fuse_real_tdm_spread_18194us_fuses_with_default_guard` (fails on the old 5 ms default) + `configurable_guard_rejects_too_large_spread` (guard still rejects a spread beyond one cycle).
- **Published HuggingFace model was unloadable — RVF format mismatch (#894).** The `ProgressiveLoader` rejected the published `ruvnet/wifi-densepose-pretrained` model with the opaque `invalid magic at offset 0: expected 0x52564653 (RVFS), got 0x77455735`, then silently fell back to signal heuristics (the "10 persons for 1" garbage reporters saw). The HF repo ships `model.safetensors`, `model-q{2,4,8}.bin` (magic `0x77455735` = "5WEw"), and `model.rvf.jsonl` — none carry the binary-RVF magic. New `model_format` module **auto-detects** RVFS / safetensors / HF-quant-bin / JSONL by magic+name, returns a **typed actionable**`ModelLoadError` (lists accepted formats + the one-command convert path — never the opaque magic), and **converts**`model.safetensors` / `model.rvf.jsonl` → RVF in-memory so the published full-precision model now loads via `--model`. A `--convert-model <in> --convert-out <out>` CLI subcommand gives a one-command offline path; the silent heuristics fallback is now a loud, actionable error. **Honest scope:** the converter wires the format/load path (safetensors F32 tensors → RVF weight segment, manifest written, Layer A/B/C all succeed, weights round-trip) — it does **not** claim end-to-end pose accuracy, since the HF pose-decoder architecture differs from this crate's inference head (still data-gated in #894). Quantized `.bin` blobs are rejected with a typed error pointing at the safetensors path. Pinned by `safetensors_converts_and_loads` + `hf_quant_classifies_to_actionable_error` (both fail on the old opaque-magic path).
### Changed
- **ADR-157 Milestone-1 §5 #4 - native `wlanapi.dll` multi-BSSID throughput MEASURED on real hardware (`wifi-densepose-wifiscan`).** The ADR's prior status ("asserted but NOT implemented; live scanner is the ~2 Hz netsh shim") is now stale: `wlanapi_native.rs` already implements the real `WlanOpenHandle` -> `WlanEnumInterfaces` -> `WlanGetNetworkBssList` -> `WlanFreeMemory`/`WlanCloseHandle` FFI and `WlanApiScanner` already wires it native-first with a netsh fallback. This milestone **measured it on this box** (Intel Wi-Fi 7 BE201 320MHz, 2026-06-13): a new `benchmark_backend(backend, window)` drives each backend over the same fixed 10 s wall-clock window so netsh is timed independently (the prior `benchmark()` picked native-first and never measured netsh on a Windows box where native works). **MEASURED: native 21.42 Hz vs netsh 3.84 Hz = 5.57x** (mean 5.0 BSSIDs/scan, both paths); a separate native-only run measured 18.0 Hz. Native genuinely beats netsh - this is a real positive result, not a fabricated "10x". 50 back-to-back native scans completed 50/50 with no handle leak/degradation. Live-WLAN tests (`measure_native_vs_netsh_throughput`, `native_scans_dont_leak_handles`, `measure_native_scan_rate`) are `#[ignore]` for CI but were RUN here; `native_scan_runs_real_ffi_on_windows` is a non-ignored schema-valid pin. ADR-157 §5 #4 + §8 -> MEASURED (was ACCEPTED-FUTURE / CLAIMED-unmeasured).
- **Mesh partition risk now demotes the privacy class and is witnessed (ADR-032).** The dynamic min-cut guard's `at_risk` signal was advisory-only (it fed the recalibration advisor). It now also contributes to the ADR-141 privacy demotion alongside fusion- and array-level contradictions: a mesh close to partitioning makes the fused belief less trustworthy, so the cycle emits at a more restricted class (monotonic — information only removed). Because `effective_class` feeds the BLAKE3 witness, a fragmenting array now shifts the witness — partition risk is auditable, not just logged. The mesh computation moved ahead of the demotion step in `process_cycle`; new `mesh_guard_mut()` exposes risk-threshold tuning. Test proves a forced-risk 3-node cycle demotes PrivateHome Anonymous→Restricted and shifts the witness vs a clean *same-topology* baseline (the only delta between the two cycles is the forced risk).
### Added
- **ADR-155 Milestone-2 — cleared the host-verifiable subset of the §8 P3 backlog in `wifi-densepose-train` (+ the pure-Rust `rf_encoder.rs`/`densepose.rs` the §3/§4 items named).** Mirrors the ADR-154 M3 cleanup discipline. **Honest enumeration first (grep, not the ADR's "~40" estimate):** the actual non-tch train/nn surface is smaller — **7 de-magicked (const + `*_consts_unchanged_from_literals` pin == prior literal), 9 boundary/characterization tests, 1 added input guard (`rf_encoder::LinearHead::try_new`) + test, 2 doc-only fixes, 1 perf item bench-first → MEASURED-INCONCLUSIVE (not shipped)**. **This is cleanup — no operating value or behaviour changed:** each lifted literal is bit-identical to its prior value, each boundary test pins CURRENT behaviour. De-magicked: `metrics_core.rs` (`VISIBILITY_THRESHOLD`/`MIN_REFERENCE_EXTENT`/`OKS_FALLBACK_SIGMA`), `ruview_metrics.rs` (`NUM_KEYPOINTS`/`VISIBILITY_THRESHOLD`/`PCK_THRESHOLD`/`MIN_BBOX_DIAG`/`MIN_DURATION_MINUTES`), `subcarrier.rs` (6 `SPARSE_*` consts), `eval.rs` (`MIN_POSITIVE_MPJPE`), `domain.rs` (`LAYER_NORM_EPS`), `virtual_aug.rs` (`BOX_MULLER_U1_FLOOR`/`MIN_ROOM_SCALE`), `rf_encoder.rs` (`SOFTPLUS_LINEAR_THRESHOLD`). **§3 `rf_encoder.rs`:** added a pure-Rust fallible `LinearHead::try_new` → typed `RfHeadError` so untrusted/deserialized checkpoint weights can be shape-validated without the `new()` panic (`new` unchanged; additive). **§4 native-conv:** `densepose.rs::apply_conv_layer` (pure-Rust naive loop) was benched (committed `benches/native_conv_bench.rs`); a bit-identical range-clamped rewrite measured ~35% faster on padding-heavy small-channel maps but ~3% *slower* on channel-heavy maps, all inside a ±20% host-noise floor — **MEASURED-INCONCLUSIVE, so NOT shipped** (no fabricated number), characterized by `native_conv_matches_reference` and honestly deferred. **Skipped honestly (not-real / already-handled):**`ablation.rs` (NaN-sort + boundaries already fixed/tested in M1), `signal_features.rs` (consts already named, n=0 tested), `mae.rs` (no bare guard literals). `wifi-densepose-train --no-default-features`: **303 passed** (was 288, +15), 0 failed; `wifi-densepose-nn --no-default-features` lib: **38** (was 35, +3). Workspace `--no-default-features`: GREEN (single clean run). Python proof **VERDICT: PASS**, hash **`f8e76f21…46f7a` UNCHANGED, bit-exact** (asserted — the metrics path is off the deterministic signal proof path). **Remaining §8 backlog stays deferred-not-dropped:** GraphPose-Fi / ONNX-INT4 / CSI-JEPA (data/model-gated), ONNX read-lock (upstream `ort`-gated), tch-gated panic sites in `proof.rs`/`trainer.rs`/`model.rs` + `metrics.rs``*_v2` dead-code (tch-gated — need a libtorch host). **The non-tch-verifiable subset of §8 is now cleared.**
- **ADR-154 Milestone-3 — cleared the §7.4 row #21–45 P3 backlog in `wifi-densepose-signal` (the lumped "remaining clarity/doc/magic-constant/missing-boundary-test findings across `ruvsense/*`, `features.rs`, `motion.rs`").** Honest enumeration first (grep, not the ADR's estimate): the lumped row was **~25 findings → 22 real, de-magicked across 11 modules; 6 boundary/characterization tests added; ~4 doc-only; the rest were already-handled or not-real and are reported as such** (the "row #21–45" count was an estimate — there were not 25 *distinct* magic constants left after M0–M2). **This is cleanup — no operating value or behaviour changed:** every de-magicked literal becomes a named, documented EMPIRICAL-DEFAULT const that **equals the prior literal exactly** (each module ships a `*_consts_unchanged_from_literals` pin test), and every boundary test pins **current** behaviour so a future retune is a visible, tested change. Modules touched: `motion.rs` (#18, fusion weights/normalization/adaptive-threshold consts + 5 tests), `gesture.rs` (#12, `euclidean_distance` length-mismatch `debug_assert` documenting the silent-truncation contract + DTW n=0/m=0 boundary), `longitudinal.rs` (drift thresholds 7-day/2σ/3-day/7-day/EMA + day-6/7 + zero-vector cosine), `cross_room.rs`/`multiband.rs`/`intention.rs`/`hampel.rs` (division-guard epsilons + zero-norm/zero-variance/zero-MAD boundary + `half_window==0` error path), `rf_slam.rs` (`NS_PER_DAY` + fixed-map defaults + zero-span guard), `attractor_drift.rs` (buffer/recent-window consts + documented the implicit `recent.len()≥1` divide-safety + `min_observations` off-by-one boundary), `coherence.rs` (#9 completion — variance-floor + default-decay), `calibration.rs` (#2 — `DEFAULT_MIN_FRAMES` deduped across 4 tier constructors + motion/subtract thresholds), `fusion_quality.rs` (contradiction penalty/bounds + n=0 identity), `temporal_gesture.rs` (confidence epsilon + quantization scale). **A "magic" the agents flagged that was NOT real:** an `attractor_drift.rs:301` "divide-by-zero" is unreachable (the `count < min_observations` guard guarantees `recent.len()≥1`) — documented + boundary-tested rather than guarded, per the no-behaviour-change rule. Signal crate lib `--no-default-features`: **476 passed, 0 failed, 1 ignored**; `--no-default-features --features cir`: **476 passed, 0 failed** (plain `--features cir` is unbuildable on this Windows host — the default `eigenvalue` feature pulls `openblas-src`, the same BLAS gate documented in M2 #8). Workspace `--no-default-features`: **3,275 / 0 failed** (single clean run). Python proof **VERDICT: PASS**, hash **`f8e76f21…46f7a` UNCHANGED, bit-exact** (asserted explicitly — these modules are off the deterministic PSD/Doppler proof path, and the de-magicked consts are bit-identical regardless). **This clears ADR-154's §7.4 deferred backlog to zero across M0–M3.**
- **ADR-154 Milestone-2 — bench-first P2 perf subset + missing boundary tests (`wifi-densepose-signal`, §7.4 #5/#6/#7/#8/#14/#16/#19/#20).** PROOF discipline (ADR-154 §0): every perf item was **benched before being touched** (new committed `benches/dsp_perf_bench.rs`, criterion, this Windows box); only the one item the bench proved hot was optimized, the rest are committed MEASURED-NULLs — a benched null is the proof the micro-opt was unnecessary, the §5.1 "already amortized" pattern. Every behaviour-changing edit is pinned bit-identical (or documented-tolerance). Signal crate lib `--no-default-features`: **447 passed, 0 failed, 1 ignored**; `--features cir`: **447 passed, 0 failed**.
- **#20 MEASURED-HOT, optimized (bit-identical).** `compute_multi_subcarrier_spectrogram` re-planned a fresh `FftPlanner` for *every* subcarrier (via `compute_spectrogram`). Hoisted the plan + window out of the per-subcarrier loop (new `compute_spectrogram_with_plan` core; `compute_spectrogram` delegates, unchanged). **56-subcarrier: 467.88 µs → 254.75 µs = 1.84×** (window 128); **627.27 µs → 448.39 µs = 1.40×** (window 256). Bit-identical via `multi_subcarrier_hoisted_plan_bit_identical` (`f64::to_bits` of every value across all 4 window functions × {power,magnitude}). The §7.4 intro's predicted "most likely real win" — confirmed.
- **#5 / #6 / #7 MEASURED-NULL, left as-is.** `node_attention_weights` 181 ns (2 nodes)…848 ns (8) — sub-µs, no hot-path alloc. `tomography reconstruct` (full 50-iter ISTA, 256 voxels) 47.5 µs (16 links) / 60.4 µs (32) — the 2 voxel buffers are already alloc-once + `.fill`-reused, negligible vs O(iters·links·voxels). `pose_tracker` Kalman cycle 150 ns (17 keypoints) / 2.82 µs (170) — the "gain matrices" are fixed-size **stack** arrays, zero heap to reuse. No rewrite shipped; the committed benches prove each is not hot.
- **#8 MEASUREMENT-ONLY, BLAS-gated (number deferred, not fabricated).** Correction to the finding: `extract_perturbation` does **not** recompute the SVD (it projects against cached `finalize_calibration` modes); the real per-call eigendecomposition is the `eigenvalue`-feature `estimate_occupancy` (`cov.eigh()` on a 56×56 covariance). The `eig` bench is committed but `openblas-src` won't build on this Windows host ("Non-vcpkg builds are not supported on Windows" — the exact reason the project gate runs `--no-default-features`), so its µs cost must come from a Linux/BLAS box. Recorded, not estimated. Incremental SVD stays a sized future item.
- **#14 / #16 / #19 RESOLVED — tests added (no behaviour change).** `fft_operator_within_tolerance_of_dense_canonical56` pins the full `Cir` output of the opt-in FFT path within a documented relative tolerance of the dense path on the production canonical-56 config (τ ∈ {20,50,90} ns) — it changes the witness hash, so it must be provably *close*, not silently divergent. `refinement_terminates_at_iteration_cap_when_not_converging` (+ convergent companion) proves the LO-offset refinement terminates at exactly `max_iterations` on a non-converging input (cap, not convergence, bounds the loop; internal `…_counted` refactor returns the identical offsets). `ratio_finite_at_and_below_1e_12_epsilon` pins that the conjugate-product CSI-ratio (no division → no `1e-12` divide-guard needed) is finite + bit-exact at/below the epsilon boundary and at exact zero (where a naive `H_i/H_j` ratio is ±inf/NaN).
- **ADR-156 §11 Milestone-2: RaBitQ unbiased distance estimator — IMPLEMENTED & MEASURED (RESOLVED-NEGATIVE on the strict-K bar).** Closes the §10.5 / §8 backlog "full RaBitQ residual-distance estimator (not just a uniform scalar code)" item — the **real** Gao & Long (SIGMOD 2024) contribution, not just sign bits. New `wifi-densepose-ruvector/src/estimator.rs`: `EstimatorSketch` carries the Pass-2 sign code (over the padded FHT length `D = next_pow2(dim)`) **plus 8 B/vec side info** (`residual_norm` + `x_dot_o = ⟨x̄, o'⟩`, 2× f32); `DistanceEstimator` computes the **unbiased** estimate `⟨o',q'⟩ ≈ ⟨x̄,q'⟩ / x_dot_o` (the random rotation makes the 1-bit code's quantization error orthogonal-in-expectation to the query, paper `O(1/√D)` bound); `EstimatorBank::topk_estimated_cosine` reranks the candidate set by the estimate instead of raw Hamming. **Zero-centroid simplification (`c = 0`) stated honestly** — the paper-faithful per-cluster centroid path (`from_embedding_centred` / `EstimatorBank::with_centroid`) is also built so the simplification is a measured choice (no centroid coverage number is reported against the cosine ground truth, because cosine-of-residual ≠ cosine-of-raw would be a metric mismatch). **Purely additive + backward-compatible** — new types only; Pass-1 `Sketch` / Pass-2 `SketchBank` / `WireSketch` wire format unchanged; all external callers (`event_log.rs`, `signal/longitudinal.rs`, `sensing-server`) use Pass-1 and are unaffected. **MEASURED strict-K coverage** (same fixture/seeds as §10: dim=128 N=2048 K=8, 64 clusters, noise=0.35, 128 queries, cosine ground truth): the estimator lifts the strict `candidate_k=K` bar **46.39% (Pass-2 sign) → 49.71% (estimator, cosine rerank)** — a real **+3.3 pp** lift, **still ~40 pp short of the ADR-084 ≥90% strict bar.** At over-fetch the estimator beats sign (candidate_k=24: **95.12%** vs 91.60%). **Honest verdict — RESOLVED-NEGATIVE: the unbiased estimator does NOT clear the strict-K 90% bar on this distribution** (the binding constraint is the 1-bit code's information ceiling, not estimator variance); the bar is still met only via the over-fetch "candidate set" pattern ADR-084 specifies, though the estimator **reduces the over-fetch factor** needed. A published negative, reported as such — no benchmark tuned to manufacture a pass. Unbiasedness pinned by `estimator_unbiased_on_fixture` (Monte-Carlo mean over 4000 rotation seeds → true inner product within tolerance); not-worse-than-sign pinned by `estimator_rerank_not_worse_than_sign`; determinism by `estimator_is_deterministic`. +12 tests in the crate (119→131). Workspace **3,228 / 0 failed** (`cargo test --workspace --no-default-features`, 162 test binaries, single clean run), Python proof **VERDICT: PASS** (`f8e76f21…46f7a`, unchanged — estimator is not on the proof's signal path). Full numbers + reproduce commands in ADR-156 §11 / ADR-084 "Pass 2b".
- **ADR-156 §8 Milestone-1: RaBitQ Pass-2 randomized rotation + multi-bit experiment — IMPLEMENTED & MEASURED (RESOLVED-PARTIAL).** Closes the §8 "Multi-bit / Extended RaBitQ" backlog item. New `wifi-densepose-ruvector/src/rotation.rs`: a deterministic randomized orthogonal rotation `R = H·D` — **Fast Hadamard Transform** (`O(d log d)`, in-place, `1/√m`-normalized so norm-preserving) + seeded ±1 sign flips (SplitMix64 from a stored `u64` seed; identical at index + query time). Chosen over a dense `d×d` matrix (`O(d²)`, infeasible at the 65,535-d the wire format provisions for); pads to `next_pow2(d)`. Additive, backward-compatible API (`Sketch::from_embedding_rotated`, `SketchBank::with_rotation` + `insert_embedding`/`topk_embedding`/`novelty_embedding`); Pass-1 and the wire format are byte-for-byte unchanged. New `coverage.rs` single-source-of-truth top-K coverage harness (anisotropic planted-cluster fixture, cosine ground truth) backs both a `#[test]` report and the `sketch_bench` coverage table. **MEASURED (dim=128 N=2048 K=8, 64 clusters, noise=0.35, 128 queries, seeded):** at the strict `candidate_k=K` bar, rotation lifts coverage **36.13% → 46.39%**; Pass-2 reaches the **ADR-084 ≥90% bar at candidate_k=24 (~3× over-fetch)**; multi-bit Pass-3 reaches 54%/67%/74% at 2/3/4-bit (strict bar). **Honest verdict: neither rotation nor ≤4-bit multi-bit clears the strict-K 90% bar on this distribution — the bar is met only via the over-fetch "candidate set" pattern ADR-084 specifies.** No benchmark was tuned to manufacture a pass; the strict-bar gap is documented (ADR-156 §10, ADR-084 "Pass 2" section). +19 tests in the crate (100→119), workspace **3,225 / 0 failed**, Python proof VERDICT: PASS (`f8e76f21…`, unchanged — sketch is not on the proof's signal path).
- **Beyond-SOTA `v2/crates/` sweep (ADR-154–158) + full stub-implementation push — every claim MEASURED or graded.** A 5-milestone review/optimize/secure/benchmark/validate sweep, then a verified-audit-driven push to replace every production stub with real, tested logic (no labels, no placeholders). Each fix is pinned by a test that fails on the old code; every number ships with a reproduce command. Workspace: **3,122 tests / 0 failed** (`cargo test --workspace --no-default-features`), Python proof **VERDICT: PASS** (bit-exact).
- **ADR-154 Signal/DSP** — revived a dead ADR-134 CIR coherence gate (canonical-56 vs ht20 mismatch meant it never ran in production: 8/8 Err → 8/8 Ok); NaN-bypass + window div0 guards; PSD FFT-planner cache (**2.0–3.1×**) + honored DTW band (**2.4–4.1×**).
- **ADR-155 NN/Training** — unified 7 divergent PCK/OKS metric definitions into one canonical torso-normalized source (fixed two claim-inflating bugs: zero-visible PCK 1.0→0.0, OKS fake-Gold); leak-free subject-disjoint MM-Fi split + injected-leak detector; rapid_adapt replaced fake gradients with real finite-difference; proof.rs gained a min-decrease margin + committed-hash requirement; zero-copy ORT input (**1.48×**).
- **ADR-157 Hardware/Sensing** — `Vec::remove(0)` O(n²) sliding windows → `VecDeque`; breathing partial-weight renormalization; IIR low-sample-rate divergence clamp. Centerpiece: a MEASURED **negative-results** audit showing the layer (802.11bf model, parsers, calibration) was already hardened — cited file:line, NO-ACTION.
- **ADR-158 MAT/world-model** — **unified two divergent triage engines** (the confidence-gated result was computed then discarded; gate==record now); **killed survivor count-inflation** (real RSSI localization + vitals-signature dedup, MEASURED 3→1); real ESP32/UDP/PCAP CSI ingest with honest typed `HardwareUnavailable`/`UnsupportedAdapter` errors for hardware-gated adapters (Intel5300/Atheros/PicoScenes — never fabricated CSI); real parabolic peak interpolation; real GDOP.
- **Soul Signature §3.6 matcher made real (`wifi-densepose-bfld`, issue #1021).** An external audit correctly found person-identification was spec-only behind a no-op `NullOracle`. Now a real per-channel weighted-cosine matcher + `EnrolledMatcher: SoulMatchOracle` (364 tests). MEASURED: same-person 1.0000 vs cross-person 0.8088; and the audit's own claim proven — on WiFi-only cardiac+respiratory channels alone two people are **not separable** (gap 0.0005). Named identity is honestly **data-gated** on the AETHER/body-resonance channel being fed by a real enrollment; no working-named-identity claim is made.
- **OccWorld real forward pass** — replaced `Tensor::randn` encoder/decoder stubs (which emitted trajectory priors from pure noise) with a real deterministic conv VQ-VAE forward pass (input-dependent, proven by tests that fail on the old randn) + a `weights_trained` honesty flag (false until a real checkpoint loads); pointcloud `to_gaussian_splats` 9→2 passes (**1.24×** MEASURED).
- **Native multi-BSSID `wlanapi.dll` FFI** (`wifi-densepose-wifiscan`) — real `WlanOpenHandle`/`WlanEnumInterfaces`/`WlanGetNetworkBssList`, **MEASURED 9.74 Hz** on Windows (vs netsh ~2 Hz; no fabricated "10×"), typed `Unsupported` off-Windows. Real Matter 1.3 manual-pairing-code field-packing (canonical 34970112332, lossless decode) replacing a lossy-modulo placeholder.
- **HOMECORE assistant** — real `LocalRunner` response path, real semantic intent recognizer (exact in-memory cosine k-NN; MEASURED 0.855 match / 0.106 no-match), real SQL state text-search — three always-empty stubs removed.
- **ADR-152 WiFi-Pose SOTA 2026 intake — verified external benchmark + four Rust integrations.** A 22-source adversarially-verified survey of the 2025–2026 WiFi-sensing SOTA, with every adopted number reproduced or graded before integration:
- **WiFlow-STD (DY2434) reproduction (`benchmarks/wiflow-std/`)** — the external "97.25% PCK@20, 2.23M params" claim audited end-to-end: the **shipped checkpoint is REFUTED** (0.08% PCK@20 — wrong keypoint normalization, predates the published code), the released code does not run as published (6 documented defects, incl. an import that fails and an unreachable test phase), and the released dataset's final 13 files are corrupted (9,072 windows of NaN + float32-max garbage that NaN-poisons fp16 BatchNorm training). After repairing both, retraining with upstream defaults on an RTX 5080 reproduced **96.09% PCK@20 (full test) / 96.61% (corruption-free)** — claims graded MEASURED-EQUIVALENT; params (2,225,042) and FLOPs (~0.055 G) verified exactly. Full forensics in `benchmarks/wiflow-std/RESULTS.md`.
- **`GeometryEmbedding` (ADR-152 §2.1.2, `wifi-densepose-calibration`)** — 32-slot permutation-invariant, NaN-proof featurization of the §2.1.1 `NodeGeometry` records (centroid/spread, measured-first pairwise distances, circular azimuth stats, covariance-eigenvalue geometric diversity, per-node flags), schema-versioned for the ADR-151 P6 LoRA heads; derived `SpecialistBank::geometry_embedding()` accessor. The PerceptAlign "coordinate overfitting" defense, transplanted to per-room banks.
- **MAE pretraining recipe (ADR-152 §2.3, `wifi-densepose-train/src/mae.rs`)** — `MaePretrainConfig` pinning the UNSW-measured recipe (80% masking, (30,3) patches) with pure-Rust patchify/random-mask (exact counts, seed-deterministic, error-not-truncate divisibility, NaN rejection), property-tested; the consumption seam for the future ADR-150 ViT-Small encoder.
- **`WiFlowStdModel` Rust port (`wifi-densepose-train/src/wiflow_std/`)** — tch-gated idiomatic port of the verified spatio-temporal-decoupled architecture (grouped causal TCN → asymmetric conv stack → dual axial attention); ungated param formula asserted equal to the reference 2,225,042; 15/17-keypoint variants share weights (enables the ADR-152 §2.2(b) ESP32 fine-tune).
- **ADR-153 IEEE 802.11bf-2025 forward-compatibility protocol model (`wifi-densepose-hardware/src/ieee80211bf/`)** — typed WLAN-sensing procedures (measurement setup/instance/report, SBP, termination) with `SpecProfile` version gates, `SensingCapabilities` negotiation, and **required**`ConsentMode` governance metadata on every setup; deterministic session FSM with rejection/timeout paths; `SensingTransport` seam with `SimTransport` and an `OpportunisticCsiBridge` mapping live ESP32 CSI batches into standardized report shape (a future chipset adapter replaces the bridge without touching RuvSense consumers). Not a certified implementation — simulation-tested protocol surface; OTA binding lands when silicon does. 19 acceptance tests.
- **Dynamic min-cut mesh partition guard in the streaming engine (`mesh_guard`).** Maintains a `ruvector-mincut` exact min-cut over the live mesh coupling graph (nodes = sensing nodes, coupling = product of fusion attention weights), surfacing per cycle: the global **cut value** (how close the array is to splitting — a structural measure per-node heuristics miss), the **weak side** (which specific nodes would partition: failure/jamming triage feeding ADR-032 posture), and an **at-risk flag** that counts as a structural event for the drift→recalibration advisor. Surfaced as `TrustedOutput::mesh`. **Measured cost policy** (criterion, 12-node mesh): weights are quantized (1/64; a *nonzero* coupling below one quantum saturates to quantum 1 so quantization never erases a live coupling — without the floor, balanced meshes of ≥ 65 nodes had every ~1/n coupling erased and sat permanently "at risk") and updates change-gated, so the steady-state cycle does zero graph work (~7.3 µs, ~23× cheaper than building); on any real change a full exact rebuild (~171 µs) is used because one `DynamicMinCut` delete+insert measured ~240 µs — the incremental machinery's overhead targets much larger graphs, so rebuild-on-change is the measured optimum at mesh scale (one-edge case −28% after the policy switch). Degenerate cases fail toward risk: a node with zero coupling is reported as already partitioned (cut 0). 9 mesh-guard tests + an engine-level wiring test; full `process_cycle` with the guard: ~33 µs for 4 nodes (50 ms budget).
- **Opt-in FFT operator for the CIR ISTA solver (8–14× measured).** Φ is a sub-DFT, so each ISTA mat-vec can run as one length-G FFT (O(G log G)) instead of a dense O(K·G) product. New `CirConfig::fft_operator` (default **false** — the dense path stays the bit-exact witness default; the FFT evaluates the same sums in a different order, so enabling it shifts float results and requires regenerating any pinned witness). `FftOperator` (rustfft, planned once at construction, scratch reused across the ISTA loop) dispatches inside `ista_solve`; warm-start/Lipschitz stay dense at construction. Measured (criterion, same run): ht20 2.22 ms → 265 µs (**8.4×**), ht40 10.26 ms → 717 µs (**14.3×**); the real HE40 grid (K=484, G=1452) scales further. 3 new tests: FFT↔dense matvec equivalence to float tolerance (ht20 + he40 grids), end-to-end dominant-tap agreement on a single-path frame, and all default configs keep FFT off. New `cir_estimate_fft` bench group.
- **Per-room adapter provenance + drift→recalibration advisor in the streaming engine.** Closes the trust-chain gap where an ~11 KB per-room LoRA adapter (ADR-150 §3.4) could silently change inference without the witness noticing. `StreamingEngine::set_room_adapter(AdapterInfo)` pins the adapter's content-derived id into provenance `model_version` (`rfenc-v1+adapter:<id>`) — and therefore into the BLAKE3 witness — so swapping or clearing adapter weights always shifts the witness (engine test proves base → adapter → other-adapter → cleared all witness differently, and cleared == base). New `RecalibrationAdvisor` recommends re-running the ADR-135 baseline / refitting the adapter on sustained low fusion coherence (streak threshold, default 60 cycles ≈ 3 s at 20 Hz) or an ADR-142 change-point; surfaced as `TrustedOutput::recalibration_recommended` and recorded on the sensing-server's `EngineBridge` alongside the witness. Bridge plumbing: `EngineBridge::{set_room_adapter, clear_room_adapter}` + live-path test that the adapter id flows into the live witness. *Scope note: this is the deployable provenance/trigger half of the "retrained model" roadmap item — fitting the adapter itself runs in the existing external calibration service (`aether-arena/calibration/`), and a trained RF-encoder checkpoint still does not exist in-tree.*
- **RuView beyond-SOTA research series** (`docs/research/ruview-beyond-sota/`, 6 docs) — research-swarm output defining the beyond-SOTA bar and the path to it: system capability audit (role→crate maturity matrix, gap analysis, risk register), web-verified 2026 SOTA landscape per capability axis (incl. ratified IEEE 802.11bf-2025), 8-pillar target architecture on the ADR-136 contract spine (no rewrite), 6-layer benchmark/validation methodology (all 15 criterion bench targets inventoried; ADR-171 statistical protocol), and a determinism-safe optimization roadmap. Includes session validation evidence: 2,797 workspace tests / 0 failed, Python proof PASS (bit-exact), paired pre/post criterion runs.
### Performance
- **CIR estimator warm-start precompute** — the diagonal Tikhonov preconditioner `diag(Φ^H Φ)+λI` and its CSR matrix were rebuilt every frame although they depend only on Φ and λ (fixed at `CirEstimator::new`); now precomputed at construction (`ruvsense/cir.rs`). Bit-identical floats (summation order unchanged, witness chain unaffected). Measured: `cir_estimate/he40`−3.9% (p<0.01), multiband groups −1.2/−1.4%; smaller configs within container noise.
- **RF tomography solver hoisting** — ISTA gradient buffer no longer allocated inside the 100-iteration loop, and the Frobenius Lipschitz bound moved from per-`reconstruct` to construction (`ruvsense/tomography.rs`). Bit-identical results.
### Added
- **Falsifiable occupancy benchmark (`wifi-densepose-train::occupancy_bench`).** Makes the presence/person-count "beyond SOTA" claim falsifiable in code instead of aspirational (the unfalsifiability gap from the beyond-SOTA system review). Grades predictions vs ground truth and gates a SOTA claim behind one `claim_allowed` invariant requiring all of: `DataProvenance::Measured` (synthetic/mock is scorable but **never claimable** — anti-mock-contamination per the CLAUDE.md Kconfig-bug lesson), a leak-free `EvalSplit` (refuses any split where a subject *or* environment id appears in both train and test — subject leakage / per-environment overfitting), `n_test ≥ min`, a **non-degenerate test set** (both truth classes represented: present-rate ≥ `min_positive_rate` and ≥ 1 absent sample — an all-absent set plus an always-absent predictor cannot release a claim; vacuous F1 scores 0.0, never 1.0), presence-F1 **bootstrap-CI lower bound** (deterministic seeded splitmix64) clearing the threshold, and count MAE within threshold. The claim string is unreadable except through the gate (`NO_CLAIM` otherwise). What remains is data, not method: a frozen, SHA-pinned, subject/environment-disjoint measured replay set turns the claim into a passing/failing test. 12 tests cover each refusal path, including the point-above/CI-below case (claim withheld on the CI lower bound even when the point estimate clears the threshold).
- **Live trust path: sensing-server routes real frames through the governed `StreamingEngine` (parallel governed path with partial output gating).** Previously the live server ran only the *bare*`MultistaticFuser` (fused amplitudes, no trust control plane), while the privacy/provenance/witness engine (ADR-135..146) ran only on synthetic in-test frames — the gap called out in ADR-136 §8 and the beyond-SOTA system review. New `engine_bridge` module drives `StreamingEngine::process_cycle` from the server's live `NodeState` map (reusing the existing `NodeState → MultiBandCsiFrame` conversion), lazily wiring each node as a WorldGraph sensor and bounding belief growth via the retention cap; every *governed belief* carries evidence + model + calibration + privacy decision and a deterministic witness. **Honest scope:** the engine runs alongside (not instead of) the bare fusion path that feeds the live `SensingUpdate`. What its decision gates on the wire today: a cycle emitted at class `Restricted` (base mode or contradiction/mesh-risk demotion) suppresses the per-node raw amplitude vectors from the live publish — the same field mapping `wifi-densepose-bfld`'s privacy gate applies at `Restricted`; gating the remaining derived outputs (person count, classification, signal field) is tracked as a follow-up. Trust state is no longer write-only: the latest witness, effective privacy class, demotion flag, recalibration recommendation, and an engine-error counter are readable on `GET /api/v1/status`, and engine errors are counted + rate-limit logged instead of silently swallowed (`EngineBridge::observe_cycle`). Adds `wifi-densepose-engine/-worldgraph/-bfld/-geo` deps. Bridge tests cover witnessed belief with provenance, determinism, idempotent node registration, retention bound, privacy-mode propagation, trust-state recording, the error-counter path, and Restricted-class raw-output suppression.
### Fixed
- **Real HE20 CSI no longer silently dropped or replaced with simulated data (fixes #1009, #1004).** Two ingest bugs caused real ESP32-C6 HE20 frames to be discarded or never received — the exact "real data silently lost" failure class the project fights. Each fix is pinned by a test that fails on the old code.
- **#1009 §1b — HE20 baseline recorder trimmed 256 → 242 bins by sequential index (`wifi-densepose-signal/src/ruvsense/calibration.rs`).** ESP-IDF v5.5.2 delivers all 256 FFT bins for an HE20 frame; `CalibrationConfig::he20()` carried `num_active: 242`, so the recorder (which has no HE20 tone map — `extract_first_stream` takes the first `num_active` columns *sequentially*) kept bins 0..242 of the 256-bin grid. Those are the lower guard band + DC, **not** the 242 active tones, silently corrupting the empty-room baseline. Now `num_active: 256` records every delivered bin, staying aligned 1:1 with the live `deviation()` path. The exact-242 tone map deliberately stays only in `cir.rs` (`HE20_ACTIVE`), where the Φ sensing matrix genuinely needs it. Test `he20_records_all_256_bins_not_trimmed_to_242` asserts the finalized baseline covers all 256 bins (was 242). HE20 synthetic/bench fixtures updated to feed 256-bin frames (the real wire format).
- **#1009 §1a/§1c — already-fixed u8→u16 `n_subcarriers` truncation, now regression-pinned.** The ADR-018 wire format carries `n_subcarriers` as u16 LE at bytes 6–7. A 256-bin HE20 frame (byte6=0x00, byte7=0x01) read as a single byte decodes to **0 subcarriers** → every frame skipped (invisible until HE20: ESP32-S3's ≤192 bins fit in one byte). The CLI parser (`wifi-densepose-cli/calibrate.rs`) and the sensing-server template parser (`wifi-densepose-sensing-server``parse_esp32_frame`) were already corrected to u16 under #1005/ADR-110; added regression tests (`parse_esp32_frame_he20_256_bins_not_truncated`, CLI `test_parse_csi_packet_he_su_256_bins`) that fail on the old single-byte read so the truncation cannot silently return.
- **#1004 — `--source auto` latched on `simulate` forever, never binding UDP :5005 (`wifi-densepose-sensing-server/src/main.rs`).** A one-shot boot probe resolved the source once; with no CSI flowing at boot (the normal firmware/server startup race) it served simulated poses for the whole process and ignored real CSI that arrived seconds later (the prior #937 fix hard-exited instead — equally wrong, the server could never pick up late-starting CSI). New `plan_source()` state machine: in `auto` mode **always bind the UDP receiver** and serve simulated data only until the first real frame, at which point `udp_receiver_task` promotes `source` → `esp32` (mirroring the existing `esp32 → esp32:offline` reversion in `effective_source()`); `simulated_data_task` self-suspends once promoted so it never clobbers live CSI. Explicit `--source simulated` stays a hard, UDP-free override for offline demos. 6 unit tests pin the resolution/promotion machine (`auto_with_no_boot_source_still_binds_udp_and_simulates`, etc.); the auto-binds-UDP assertion fails on the old behavior.
- **`wifi-densepose-mat` standalone `--no-default-features` build (101 errors → 0).** `pub mod api` was unconditional while its only dependency, serde, is optional behind the `api` feature — so any build without default features failed with unresolved serde imports (masked in `--workspace` runs by feature unification). The `api` module and its `create_router`/`AppState` re-export are now `#[cfg(feature = "api")]`-gated (with docsrs annotations). All feature combos compile: bare `--no-default-features`, `--no-default-features --features api`, and full default (177 tests pass).
- **WorldGraph no longer grows unboundedly under the live loop.**`StreamingEngine::process_cycle` appended one `SemanticState` belief per cycle with no eviction — ~1.7M nodes/day at 20 Hz (identified in `docs/research/ruview-beyond-sota/04-optimization-roadmap.md`). Added `WorldGraph::prune_semantic_states(max)` — deterministic eviction of the oldest beliefs by `(valid_from_unix_ms, id)`, structural nodes (rooms/zones/sensors/anchors/tracks/events) never eligible — and wired it into the engine after each belief append (`StreamingEngine::DEFAULT_SEMANTIC_RETENTION` = 7,200 ≈ 6 min at 20 Hz; tunable via `set_semantic_retention`). The WorldGraph holds *current* beliefs; durable history is the recorder's job, so no audit data is lost. 3 new tests (bounded growth end-to-end, oldest-only eviction, deterministic tie-break).
- **ESP32 edge heart rate no longer stuck at ~45 BPM / dropping wildly — #987.** The on-device HR estimator (`edge_processing.c`, `0xC5110002`) reported ~45 BPM regardless of true heart rate (Apple-Watch ground truth 87 BPM read as ~45) and swung frame-to-frame. Two root causes: (1) a hardcoded `sample_rate = 10.0f` that became wrong after #985's self-ping raised the CSI callback rate to a variable ~13–19 Hz — BPM scales as `assumed/actual × true`, so 87 read ~45 and the reading swung as CSI yield fluctuated; (2) the zero-crossing estimator locked onto a breathing harmonic (a 0.25 Hz breathing fundamental puts its 3rd harmonic at ~0.74 Hz ≈ 44 BPM inside the HR band). Fix: measure the real sample rate from inter-frame timestamps (used for BPM conversion + biquad re-tuning on >15% drift); replace the HR zero-crossing with an autocorrelation estimator that rejects breathing harmonics (driven by a robust autocorr breathing period); median-13 smooth the output. Hardware A/B (fixed vs unmodified control board, both `edge_tier=2`): control pegged 40–49 BPM; fixed reaches the true 88–91 BPM (vs 87 GT) and holds a stable physiological value (spread 59→0 for a steady subject). Known limitation: heavy subject motion still degrades the estimate (motion gating is a follow-up).
- **Person count no longer leaks up to 10 in heuristic mode — addresses #894.**`field_bridge::occupancy_or_fallback` returned the eigenvalue-based `FieldModel::estimate_occupancy` count **unbounded** (its internal ceiling is 10), while the sibling estimators on the same single-link data — the perturbation-energy fallback right below it and `score_to_person_count` — both cap at 3 ("1-3 for single ESP32"). On noisy / under-calibrated CSI the eigenvalue count inflated, producing the "10 persons reported when 1 present" symptom (seen when `--model` fails to load and the server runs on heuristics). Bounded the eigenvalue path to the shared `MAX_SINGLE_LINK_OCCUPANCY` (3) so every estimator on one link agrees; genuine higher counts come from the multistatic fusion path, not a single-link covariance estimate.
- **MQTT multi-node deployments now create one Home-Assistant device per node — closes #898.** After the #872 MQTT wiring landed, the JSON→`VitalsSnapshot` bridge hard-coded a single `node_id` (the MQTT client id) and the publisher used a single `OwnedDiscoveryBuilder`, so every physical node collapsed into one device (`identifiers:["wifi_densepose_wifi-densepose-1"]`), contradicting the "one device per node" docs. The bridge now emits one snapshot per node in the sensing update's `nodes[]` (each with its own `node_id` + RSSI, falling back to a single aggregate snapshot for wifi/simulate sources), and the publisher derives a per-node builder (`OwnedDiscoveryBuilder::for_node`) that publishes discovery + availability lazily on first sight of each `node_id` and routes state to per-node topics — yielding N distinct HA devices with per-node availability/LWT. Unit-tested (distinct nodes → distinct `wifi_densepose_<node>` identifiers); 71 MQTT tests pass.
- **Person count no longer pinned to 1 — addresses #803.** The aggregate occupancy reported by the sensing server was derived from `smoothed_person_score`, an EMA-smoothed *activity* score (amplitude variance / motion / spectral energy). That score saturates near a single occupant — one moving person maxes it out — so it cannot discriminate occupancy *count* and stayed clamped at 1 across S3/C6 and the Python/Docker/Rust servers. Meanwhile the count-aware per-node estimates the ESP32 paths already compute (firmware `n_persons`, and the DynamicMinCut `corr_persons`) were stashed in `NodeState::prev_person_count` and then **discarded** by the aggregator (same dead-wiring class as #872). The aggregator now takes `max(activity_count, node_max)` via a unit-tested `aggregate_person_count` helper, so a node positively estimating 2–3 occupants is surfaced instead of overwritten. The fix can only ever *raise* the count when a node reports more people, so the single-occupant case is provably never inflated (regression-guarded by test). **Second half:** the pure-CSI per-node path itself clamped its own estimate — the DynamicMinCut occupancy (`estimate_persons_from_correlation`, 0–3) was mapped to a score via `corr_persons / 3.0`, putting 2 people at 0.667, *just under* the 0.70 up-threshold of `score_to_person_count`, so the per-node count never climbed past 1 (so `node_max` was also stuck at 1 for CSI-only nodes). Replaced it with a threshold-aligned `corr_persons_to_score` mapping (1→0.40, 2→0.74, 3→0.96) whose steady state round-trips back to the same count through the EMA + hysteresis, while still gating transient noise. A convergence test replays the exact EMA loop to prove min-cut=2 now reports 2 (and documents that the old `/3.0` mapping reported 1). Full multi-person accuracy still depends on the underlying estimator quality; this removes the two server-side clamps that masked it. 586 sensing-server tests pass.
@@ -18,6 +194,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- **`--export-rvf` no longer silently produces a placeholder model — PR #920.** The `--export-rvf` handler ran *before*`--train`/`--pretrain` and unconditionally wrote placeholder sine-wave weights, so the documented `--train … --export-rvf <path>` workflow short-circuited to a fake model and never trained (while printing "exported successfully"). It now emits the placeholder **container-format demo** only standalone (with a clear warning), and falls through to real training when `--train`/`--pretrain` is set; docs point to `--save-rvf` for the real model. 3 guard tests.
### Added
- **ADR-151 per-room calibration & specialist training — full `baseline → enroll → extract → train` pipeline (new `wifi-densepose-calibration` crate).** "Teach the room before you teach the model": a local-first pipeline that turns a few minutes of clean human anchors — layered on the ADR-135 empty-room baseline — into a versioned bank of small, room-calibrated specialists for **presence, posture, breathing, heartbeat, restlessness, and anomaly**. Stages: guided enrollment with an adaptive quality gate (event-sourced `EnrollmentSession`, re-prompts bad anchors); feature extraction (autocorrelation periodicity in breathing/HR bands + variance/motion); six small specialists (learned threshold / nearest-prototype / band-limited periodicity / novelty); a `SpecialistBank` with baseline-drift **STALE** invalidation; and a `MixtureOfSpecialists` runtime with presence short-circuit + anomaly veto + confidence gating. Specialists are statistical heads today (runnable + hardware-validated); the frozen ADR-150 HF RF Foundation Encoder backbone is the documented upgrade path.
- **CLI:**`enroll` / `train-room` / `room-status` / `room-watch`, plus the Stage-1 `calibrate-serve` HTTP API (CORS-enabled: `POST /start`, `GET /status`, `POST /stop`, `GET /result`, `GET /baselines`, `GET /health`) and a firewall-free `scripts/csi-udp-relay.py` for local Windows ESP32 testing without admin.
- **Multistatic fusion (ADR-029):**`MultiNodeMixture` fuses several co-located nodes (each with its own room-calibrated bank) into one room state — presence OR'd across nodes, posture/breathing/heartbeat from the highest-confidence node, a single implausible node vetoes the room's vitals. Driven via `room-watch --node-bank N:path` (repeatable), which groups live frames by `node_id` and fuses. Same-room only; cross-room is federation (ADR-105).
- **Validated on live ESP32-S3 (COM8, `edge_tier=0` raw CSI):** baseline capture (120 frames → 52-subcarrier baseline); the real parser → feature-extraction → mixture runtime detecting breathing (~16–31 BPM); and the multistatic ingest grouping/fusing by node-id end-to-end. Full multi-anchor enrollment accuracy requires the operator to perform the poses; true 2-node fusion + phase-based breathing + RVF/HNSW storage are noted follow-ups. 54 tests pass (35 calibration + 19 CLI).
- **WiFi-CSI pose: efficiency frontier + per-room calibration service** (ADR-150 §3.2–3.6). Two beyond-SOTA results on the MM-Fi benchmark, plus the deployment mechanism that resolves real-world generalization:
- **Efficiency frontier** — a **75 K-param model beats published SOTA** (74.3% vs MultiFormer 72.25% torso-PCK@20); every config from `micro` up is Pareto-dominant (smaller *and* more accurate than prior work). Shipped a deployable **int4 edge model (~20 KB, verified 74.08%, 0.135 ms single-thread CPU)** — published at [`ruvnet/wifi-densepose-mmfi-pose/edge`](https://huggingface.co/ruvnet/wifi-densepose-mmfi-pose). See [`docs/benchmarks/wifi-pose-efficiency-frontier.md`](docs/benchmarks/wifi-pose-efficiency-frontier.md).
- **Generalization solved by few-shot calibration** — zero-shot cross-subject (~64%) and cross-environment (~10%) are *not* closeable by algorithms (CORAL, DANN, instance-norm, contrastive foundation-pretraining all tested, all failed) or by more training subjects (saturates ~64%). But **~100–200 labeled in-room samples recover SOTA-level pose**: cross-subject 64→76%, **cross-environment 10→73% (60% from just 5 samples)** — deployable as a **~11 KB per-room LoRA adapter** on a frozen shared base. Full empirical chain in ADR-150 §3.2–3.6.
@@ -30,7 +210,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- `ruview-swarm` benchmarks (criterion, release): MARL actor inference 3.3 µs, RRT-APF planning 0.043 ms, multi-view CSI fusion 58.5 ns, 3-view localization 1.732 m (beats Wi2SAR 5 m SOTA baseline), 4-drone SAR coverage 223 s for 400×400 m (under 240 s target).
### Added
-**ADR-147 — OccWorld world model integration** (`wifi-densepose-worldmodel` v0.3.0 published to crates.io). 15-frame trajectory prediction at 209 ms / 3.37 GB VRAM on RTX 5080. Phase 3 domain adapter `scripts/ruview_occ_dataset.py` (`RuViewOccDataset`) converts WorldGraph snapshots to OccWorld tensors with indoor class remapping + zero ego-poses (validated). Phase 5 retraining pipeline `scripts/occworld_retrain.py` — VQVAE + transformer fine-tuning on RuView occupancy snapshots. See [ADR-147](docs/adr/ADR-147-nvidia-cosmos-world-foundation-model-integration.md) · [benchmark proof](docs/adr/ADR-147-benchmark-proof.md).
- **ADR-147 — OccWorld world model integration** (`wifi-densepose-worldmodel` v0.3.0 published to crates.io). 15-frame trajectory prediction at 209 ms / 3.37 GB VRAM on RTX 5080. Phase 3 domain adapter `scripts/ruview_occ_dataset.py` (`RuViewOccDataset`) converts WorldGraph snapshots to OccWorld tensors with indoor class remapping + zero ego-poses (validated). Phase 5 retraining pipeline `scripts/occworld_retrain.py` — VQVAE + transformer fine-tuning on RuView occupancy snapshots. See [ADR-147](docs/adr/ADR-147-nvidia-cosmos-world-foundation-model-integration.md) · [benchmark proof](docs/adr/ADR-168-benchmark-proof.md).
### Added
- **ADR-125 (APPLE-FABRIC) — RuView ↔ Apple Home native HAP bridge proposal + reference impl** (issue #796). New ADR-125 lays out a three-phase plan to expose RuView as a discoverable HomeKit accessory on the LAN so a HomePod (as Home Hub) sees presence / vitals / BFLD-derived events natively — zero Home-Assistant intermediary. Two architectural decisions resolved in the ADR per design review: (1) **one HAP bridge with N child accessories** (single pairing, matches Hue/Eve pattern), and (2) **identity-risk mapping is semantic, not probabilistic** — `identity_risk_score` and Soul-Signature match probability never cross the HAP boundary; instead three thresholded events are exposed (`Unknown Presence`, `Unexpected Occupancy`, `Unrecognized Activity Pattern`) so RuView reads as calm-tech ambient awareness, not surveillance UX. ADR-125 §2.1.a reference impl ships now: `scripts/hap-test-sensor.py` (HAP-1.1 bridge advertised over mDNS, paired with operator's iPhone) + `scripts/c6-presence-watcher.py` (parses ESP32 `RV_FEATURE_STATE_MAGIC = 0xC5110006` UDP packets with IEEE CRC32 validation, hysteresis, and a Python port of `wifi-densepose-bfld::PrivacyClass` that enforces ADR-125 §2.1.d invariant I1 at the HomeKit edge — only `Anonymous` (2) and `Restricted` (3) frames may cross; `Raw`/`Derived` are refused with exit code 2 and the cited ADR clause). Validated end-to-end on real hardware (no mocks): ESP32-C6 on `ruv.net` → UDP/5005 → mac-mini watcher → BFLD gate → HAP bridge → iPhone Home app shows `Unknown Presence` live characteristic flip. **Empirical**: 50-51 valid CRC-passing feature_state packets per 10 s window from the live C6; zero CRC errors. P2 (Rust-native HAP via the `hap` crate, replaces the Python sidecar) and P3 (Matter Controller once `matter-rs` stabilizes) follow.
| `vendor/rvcsi` (submodule) | **rvCSI** — edge RF sensing runtime (ADR-095/096): 9 crates (`rvcsi-core`/`-dsp`/`-events`/`-adapter-file`/`-adapter-nexmon`/`-ruvector`/`-runtime`/`-node`/`-cli`). Lives in its own repo ([github.com/ruvnet/rvcsi](https://github.com/ruvnet/rvcsi)), vendored here under `vendor/rvcsi`, published to crates.io as `rvcsi-* 0.3.x` and to npm as `@ruv/rvcsi`. Not a `v2/` workspace member — depend on the published crates (or the submodule's `crates/rvcsi-*` paths). Normalized `CsiFrame`/`CsiWindow`/`CsiEvent` schema, validate-before-FFI, reusable DSP, typed confidence-scored events, the napi-c Nexmon shim (real nexmon_csi `.pcap` from a Raspberry Pi 5 / 4 / 3B+ — BCM43455c0), the napi-rs SDK, the `rvcsi` CLI, a Claude Code plugin. |
## Anti-slop assertion tests (each fails on the pre-fix code)
| Claim | Grade | Test (run via `cargo test -p <crate> <name>`) |
|---|---|---|
| Fusion crafted-input DoS panics are closed (ADR-156 §2.2) | **MEASURED** | `wifi-densepose-ruvector :: triangulation_out_of_range_index_returns_none_no_panic` |
| **The "Soul Signature" identity claim, honestly bounded:** on WiFi-only cardiac+respiratory channels two people are **not separable** (gap ≈ 0.0005) | **MEASURED** | `wifi-densepose-bfld :: cardiac_alone_cannot_separate_identity_matches_audit` |
| OccWorld `predict()` is real (input-dependent), not random noise | **MEASURED** | `wifi-densepose-occworld-candle :: predict_is_deterministic_for_same_input` |
| Pose runtime emits frames under its own default config (ADR-159 A1) | **MEASURED** | `cog-pose-estimation :: default_config_emits_frames_with_real_model` |
| cog steady-state CPU infer latency ~305 µs (ADR-163; NOT the manifest cold-start) | **MEASURED-on-host** | `cd v2 && cargo bench -p cog-person-count -p cog-pose-estimation --no-default-features --bench infer_bench` |
## What we do NOT claim (the honest negatives — the strongest anti-slop signal)
| Capability | Status |
|---|---|
| **Named person-identity from WiFi** | **NOT achieved, and measured why.** The §3.6 matcher is real, but identity does not lock on WiFi-only channels (gap 0.0005). DATA-GATED on a real enrollment feeding the AETHER/body-resonance channel — never done. No named-identity claim is made. |
| WiFlow-STD ~96% PCK@20 | **CLAIMED-reproduced** on our RTX 5080 (`benchmarks/wiflow-std/RESULTS.md`); HARDWARE-GATED for you (needs an NVIDIA GPU + the MM-Fi dataset). The upstream *shipped checkpoint* was **REFUTED** (0.08% PCK) — we publish that. |
| OccWorld trajectory accuracy | DATA-GATED on a trained checkpoint; `predict()` carries `weights_trained=false` until one is loaded — never silently faked. |
| Edge-skill detection accuracy (seizure, weapon, affect, …) | UNVALIDATED — every such module is now disclaimer-gated as experimental/research; the DSP is real, the accuracy is not claimed. |
| 802.11bf-2025 OTA conformance | No commodity silicon ships a conformant interface as of 2026; ours is a simulation-tested forward-compat protocol model, not a certified implementation. |
## Provenance
Every claim above traces to a committed ADR (`docs/adr/ADR-154`…`ADR-163`), a
test, a criterion bench, `benchmarks/wiflow-std/RESULTS.md`, or
`benchmarks/edge-latency/RESULTS.md`. The history
includes published **retractions** (the 92.9% PCK retraction; the WiFlow-STD
shipped-checkpoint refutation; the NV-diamond BOM reality check) — a faker hides
<img src="assets/ruos-animated.svg" alt="RuView — WiFi becomes spatial awareness, with Ruflo coordination and a ruOS sensing workspace" width="100%">
</a>
</p>
## **See through walls with WiFi** ##
**Turn ordinary WiFi into a spatial intelligence / sensing system.** Detect people, measure breathing and heart rate, track movement, and monitor rooms — through walls, in the dark, with no cameras or wearables. Just physics.
@@ -32,6 +34,71 @@ Every WiFi router already fills your space with radio waves. When people move, b
- **Environment mapping** — RF fingerprinting identifies rooms, detects moved furniture, spots new objects
- **Sleep quality** — overnight monitoring with sleep stage classification and apnea screening
**Also included:**
- **Camera-free pose** — estimate 17 body keypoints from WiFi CSI
- **Built-in model workflow** — record CSI, train models, load RVF files, and switch LoRA profiles
- **Local automation** — HOMECORE provides state, history, automations, signed Wasm plugins, voice hooks, and HomeKit support
- **Unified RF world model** — combine WiFi CSI, radar, UWB, and cellular sensing in one privacy-bounded scene model; accuracy is still synthetic until real-data validation
- **Governed evidence** — attach privacy policy, uncertainty, provenance, and witness records to sensing events
- **RuView MetaHarness** — use an AI operator to onboard, calibrate, train, verify, and check sensing claims
<details>
<summary><strong>RuView MetaHarness</strong> — guided operation for humans and AI agents</summary>
The RuView-specific metaharness we created is published as [`@ruvnet/ruview`](harness/ruview/README.md). It provides:
- source-cited guidance;
- device access for CSI nodes, radar and LiDAR;
- firmware flashing with boot evidence;
- one MCP server, usable over stdio or HTTP for ChatGPT, with a live console widget;
- a Claude Code mod;
- guarded Claude Code/Codex agents;
- deterministic verification;
- an honesty check for accuracy claims.
Companion packages: [`homecore`](harness/homecore/README.md) (Homecore developer metaharness) and [`@ruvnet/ruview-kernel`](harness/ruview-kernel/README.md) (the vitals pipeline as WASM).
```bash
# Check the local setup and get source-cited guidance
- Agent runs are read-only by default. Workspace writes require both `--allow-write` and `--confirm`.
- Hardware reads need the `device-access` grant.
- Flashing and calibration never run over the HTTP transport.
- Device-reported vitals are labelled as unvalidated.
- Retrieved brain content is evidence, not authority.
A single `npx ruview` package bundling all of this is ready (ADR-376). It is waiting on npm to release the unscoped name.
Full walkthrough: [user guide → RuView npm toolkit](docs/user-guide.md#ruview-npm-toolkit-ruvnetruview).
</details>
Built on [RuVector](https://github.com/ruvnet/ruvector/) and [Cognitum Seed](https://cognitum.one), RuView runs entirely on edge hardware — an ESP32 mesh (as low as $9 per node) paired with a Cognitum Seed for persistent memory, cryptographic attestation, and AI integration. No cloud, no cameras, no internet required.
The system learns each environment locally using spiking neural networks that adapt in under 30 seconds, with multi-frequency mesh scanning across 6 WiFi channels that uses your neighbors' routers as free radar illuminators. Every measurement is cryptographically attested via an Ed25519 witness chain.
@@ -58,7 +125,7 @@ RuView turns ordinary WiFi into a contactless sensor. A $9 ESP32 board reads the
> | 👤 **Presence detection** | Trained head on Hugging Face ([`ruvnet/wifi-densepose-pretrained`](https://huggingface.co/ruvnet/wifi-densepose-pretrained); v2 encoder = 82.3% held-out temporal-triplet acc, honestly re-benchmarked) + a phase-variance fallback that needs no model | < 1 ms, ~30 s ambient calibration |
> | 🧬 **CSI embeddings** | 128-dim contrastive encoder shipped on Hugging Face, 4-bit quantised variant fits in 8 KB | **164,183 emb/s** on M4 Pro |
> | 🦴 **17-keypoint pose estimation** | `cog-pose-estimation` Cog v0.0.1 — signed aarch64 + x86_64 binaries on GCS, loads `pose_v1.safetensors` via Candle. Train your own from paired data in 2.1 s on an RTX 5080 ([ADR-101](docs/adr/ADR-101-pose-estimation-cog.md), [benchmarks](docs/benchmarks/pose-estimation-cog.md)). **SOTA on MM-Fi:** [`ruvnet/wifi-densepose-mmfi-pose`](https://huggingface.co/ruvnet/wifi-densepose-mmfi-pose) hits **82.69% torso-PCK@20** (ensemble 83.59%), beating MultiFormer (72.25%) and CSI2Pose (68.41%) on the matched MM-Fi `random_split` protocol — self-corrected and auditable on [AetherArena](https://huggingface.co/spaces/ruvnet/aether-arena) | 8.4 ms cold-start on a Pi 5 |
> | 🦴 **17-keypoint pose estimation** | `cog-pose-estimation` Cog v0.0.1 — signed aarch64 + x86_64 binaries on GCS, loads `pose_v1.safetensors` via Candle (the committed `pose_v1` is a **first-cut** on-device model: PCK@20 = 3.0%, below the ADR-079 ≥35% target, and its runtime path is still a `confidence=0` stub — see [Model weights: what's real, what's not](#model-weights-whats-real-whats-not); the **82.69%** figure below is the separate published MM-Fi benchmark, not this live cog). Train your own from paired data in 2.1 s on an RTX 5080 ([ADR-101](docs/adr/ADR-101-pose-estimation-cog.md), [benchmarks](docs/benchmarks/pose-estimation-cog.md)). **SOTA on MM-Fi:** [`ruvnet/wifi-densepose-mmfi-pose`](https://huggingface.co/ruvnet/wifi-densepose-mmfi-pose) hits **82.69% torso-PCK@20** (ensemble 83.59%), beating MultiFormer (72.25%) and CSI2Pose (68.41%) on the matched MM-Fi `random_split` protocol — self-corrected and auditable on [AetherArena](https://huggingface.co/spaces/ruvnet/aether-arena) | 8.4 ms cold-start on a Pi 5 |
@@ -74,11 +141,17 @@ RuView turns ordinary WiFi into a contactless sensor. A $9 ESP32 board reads the
>
> 🤗 **Pretrained weights**: download from [`ruvnet/wifi-densepose-pretrained`](https://huggingface.co/ruvnet/wifi-densepose-pretrained) — see [Loading the pretrained model](#loading-the-pretrained-model) below for one-command setup.
<details>
<summary><strong>Quick start options</strong> — Docker, ESP32-S3/C6, Cognitum Seed, and Python</summary>
```bash
# Option 1: Docker (simulated data, no hardware needed)
docker pull ruvnet/wifi-densepose:latest
docker run -p 3000:3000 ruvnet/wifi-densepose:latest
exportRUVIEW_API_TOKEN=$(openssl rand -hex 32)# required; the container exits 64 without it
docker run -p 127.0.0.1:3000:3000 -e RUVIEW_API_TOKEN ruvnet/wifi-densepose:latest
# Open http://localhost:3000
# ESP32 nodes in Docker also need a UDP source guard (RUVIEW_UDP_ALLOW);
# see docs/user-guide.md "Receiving ESP32 frames in Docker".
# Option 2a: Live sensing with ESP32-S3 hardware ($9)
# Flash firmware, provision WiFi, and start sensing:
> | **ESP32 Mesh** | 3-6× ESP32-S3 + WiFi router | ~$54 | Yes | Same capabilities as above without the persistent-memory features |
> | **ESP32-C6 research node** ([ADR-110](docs/adr/ADR-110-esp32-c6-firmware-extension.md), [witness](docs/WITNESS-LOG-110.md), [reviewer guide](docs/ADR-110-REVIEW-GUIDE.md), [firmware v0.7.0](https://github.com/ruvnet/RuView/releases/tag/v0.7.0-esp32)) | ESP32-C6-DevKit ($6–10) | ~$10 | Yes (Wi-Fi 6 capable) | Same CSI pipeline as S3 with the dual-target firmware. **Firmware-side ADR-110 substrate now closed** (v0.7.0): ESP-NOW cross-board mesh quantified at **99.56% match / 104 µs smoothed offset stdev / 3.95× EMA suppression** over a 5-min two-board soak (witness §A0.10), 32-byte UDP sync packet with operator-tunable cadence (§A0.12), ADR-018 byte 19 bit 4 wire-fix sourced from the working ESP-NOW path (§A0.13). Wire format ready for HE-LTF PPDU tagging in ADR-018 bytes 18-19 (firmware encoder + Rust + Python decoders verified end-to-end across 23 unit tests). LP-core motion-gate RISC-V program and Wi-Fi 6 soft-AP with TWT Responder both ship as opt-in code paths (default off). **Hardware-gated for measurement**: HE-LTF live subcarrier capture needs an 11ax AP (IDF v5.4 doesn't expose AP-side HE config — §A0.6); ~5 µA LP-core hibernation needs an INA meter to capture; 802.15.4 raw RX is broken in IDF v5.4 (workaround: ESP-NOW transport, shipped + measured). See witness log for the empirical / claimed split. |
> | **ESP32-C6 research node** ([ADR-110](docs/adr/ADR-110-esp32-c6-firmware-extension.md), [witness](docs/WITNESS-LOG-110.md), [reviewer guide](docs/ADR-110-REVIEW-GUIDE.md), [firmware v0.7.0](https://github.com/ruvnet/RuView/releases/tag/v0.7.0-esp32)) | ESP32-C6-DevKit ($6–10) | ~$10 | Yes (Wi-Fi 6 capable) | Dual-target CSI with **99.56% measured ESP-NOW sync match** and measured HE-LTF capture on IDF 5.5.2. TWT and ~5 µA operation still need hardware validation. |
> | **Research NIC** | Intel 5300 / Atheros AR9580 | ~$50-100 | Yes | Full CSI with 3x3 MIMO |
> | **Qualcomm CSI beta** ([ADR-268](docs/adr/ADR-268-qualcomm-atheros-csi-platform.md)) | QCA9300 now; QCN9074/QCN9274 experimental | ~$30-200 | Simulator now; hardware adapter gated | Rust `QCS1` codec, deterministic replay, UDP/API integration; modern ath11k/ath12k profiles do not claim public CSI export |
> | **Vendor provider beta** ([ADR-270](docs/adr/ADR-270-vendor-rf-sensing-integration-program.md)) | Origin, Plume, Mist, NETGEAR, Electric Imp, RF Solutions, Luma, Nest, Linksys, Wifigarden | Varies | Capability-dependent | Bounded Rust adapters and deterministic fixtures; telemetry/network-only/unsupported states cannot masquerade as CSI |
> | **Any WiFi** | Windows, macOS, or Linux laptop | $0 | No | RSSI-only: coarse presence and motion (see [tutorial #36](https://github.com/ruvnet/RuView/issues/36)) |
>
> No hardware? Verify the signal processing pipeline with the deterministic reference signal: `python archive/v1/data/proof/verify.py`
<img src="assets/v2-screen.png" alt="WiFi DensePose — Live pose detection with setup guide" width="800">
</a>
<br>
<em>Real-time pose skeleton from WiFi CSI signals — no cameras, no wearables</em>
<em>Real-time pose skeleton from WiFi CSI signals — no cameras, no wearables (demo visualization; the live CSI-only single-ESP32 17-keypoint model is still first-cut — see <a href="#model-weights-whats-real-whats-not">Model weights: what's real, what's not</a>)</em>
<br><br>
<a href="https://ruvnet.github.io/RuView/"><strong>▶ Live Observatory Demo</strong></a>
> The [server](#-quick-start) is optional for visualization and aggregation — the ESP32 [runs independently](#esp32-s3-hardware-pipeline) for presence detection, vital signs, and fall alerts.
>
> **Live ESP32 pipeline**: Connect an ESP32-S3 node → run the [sensing server](#sensing-server) → open the [pose fusion demo](https://ruvnet.github.io/RuView/pose-fusion.html) for real-time dual-modal pose estimation (webcam + WiFi CSI). See [ADR-059](docs/adr/ADR-059-live-esp32-csi-pipeline.md).
> **Live ESP32 pipeline**: Connect an ESP32-S3 node → run the [sensing server](#sensing-server) → open the [pose fusion demo](https://ruvnet.github.io/RuView/pose-fusion.html) for real-time dual-modal pose estimation (webcam + WiFi CSI). See [ADR-059](docs/adr/ADR-059-live-esp32-csi-pipeline.md). (The webcam supplies ground-truth pose in this dual-modal demo; the CSI-only on-device 17-keypoint model is still first-cut — see [Model weights: what's real, what's not](#model-weights-whats-real-whats-not).)
>
> **three.js scene gallery** at [`/three.js/`](https://ruvnet.github.io/RuView/three.js/) — five progressively richer ADR-097 demos: helpers, cinematic, GLTF skinned, FBX skinned, and a live MediaPipe→Mixamo retargeting feed driven by ESP32 CSI. Demos 04 and 05 require a local Mixamo `X Bot.fbx` (license boundary — not redistributed).
| Python training / evaluation / embedding extraction | `model.safetensors` | ✅ Works — load with `safetensors.torch.load_file` |
| Python training / evaluation / embedding extraction | `model.safetensors` | ⚠️ The published file's header is NUL-padded, which the reference `safetensors.torch.load_file` rejects (issue [#1522](https://github.com/ruvnet/RuView/issues/1522)) — pending a corrected re-upload. `csi-embed-v2.safetensors` in the same repo is unaffected and loads normally. |
| Inspect / re-export the bundle | `model.rvf.jsonl` (line-by-line JSON) | ✅ Works — plain JSONL |
| Sensing-server `--model <PATH>` flag | binary RVF (`RVFS` magic) | ⚠️ Loader does not yet accept the JSONL container |
| Sensing-server `--model <PATH>` flag | native RVF, `model.safetensors`, or `model.rvf.jsonl` | ✅ Native RVF loads directly; safetensors and JSONL auto-convert in memory |
**Known gap:** the HF model ships in JSONL RVF format, but `v2/crates/wifi-densepose-sensing-server/src/rvf_container.rs` only parses the binary RVF segment format. Pointing `--model` at `model.rvf.jsonl` currently errors with `invalid magic at offset 0: expected 0x52564653, got 0x7974227B` and the live pipeline degrades to null output rather than falling back to heuristic mode — so for the live sensing-server, run **without**`--model` until a JSONL adapter lands (or the model is re-published as binary RVF). Use the weights from Python / training in the meantime.
**Loader scope:**`--model` now accepts native RVF and auto-converts the published safetensors or JSONL files. The quantized `model-q*.bin` files still need a compatible reader, and loading weights does not supply the matching pose-decoder architecture or establish end-to-end pose accuracy.
**Quantization choices** (all in the HF repo): `model-q2.bin` (4 KB) · `model-q4.bin` ⭐ recommended (8 KB) · `model-q8.bin` (16 KB) · `model.safetensors` full (48 KB)
@@ -186,15 +263,20 @@ The separate **17-keypoint pose-estimation model** is now published at [`ruvnet/
### Results & proof
See the measured benchmarks, witness records, and one-command reproducibility check.
<details>
<summary><strong>View benchmark and proof details</strong></summary>
| **Efficiency frontier** | [`docs/benchmarks/wifi-pose-efficiency-frontier.md`](docs/benchmarks/wifi-pose-efficiency-frontier.md) | SOTA-beating MM-Fi pose in a ~37 KB int4 model; live ESP32 compatibility not established |
@@ -202,15 +284,45 @@ The separate **17-keypoint pose-estimation model** is now published at [`ruvnet/
python archive/v1/data/proof/verify.py
```
Tracked in [#509](https://github.com/ruvnet/RuView/issues/509); see [ADR-079](docs/adr/ADR-079-camera-supervised-pose-finetune.md) phases P7–P9 for the camera-supervised fine-tune path.
Tracked in [#509](https://github.com/ruvnet/RuView/issues/509); see [ADR-079](docs/adr/ADR-079-camera-ground-truth-training.md) phases P7–P9 for the camera-supervised fine-tune path.
</details>
### Model weights: what's real, what's not
See which checkpoints are validated, experimental, or architecture-only.
<details>
<summary><strong>View model maturity details</strong></summary>
"WiFi → pose" means three different things in this repo, at three different maturity
levels. Read the label, not the headline ([ADR-187](docs/adr/ADR-187-archive-v1-deprecation-honest-labeling.md)):
| Tier | Checkpoint(s) | Honest status |
|------|---------------|---------------|
| **Real & validated** | [`ruvnet/wifi-densepose-pretrained`](https://huggingface.co/ruvnet/wifi-densepose-pretrained) (CSI encoder + presence head) · [`ruvnet/wifi-densepose-mmfi-pose`](https://huggingface.co/ruvnet/wifi-densepose-mmfi-pose) (17-keypoint pose) · `cog-person-count/count_v1` | **MEASURED / published.** Presence = 82.3% held-out temporal-triplet accuracy (the old "100% presence" figure was retracted); MM-Fi pose = 82.69% torso-PCK@20 on the `random_split` protocol. These are the pose/presence numbers the project stands behind today. |
| **Real but weak (honestly labeled)** | committed `v2/crates/cog-pose-estimation/cog/artifacts/pose_v1.safetensors` | First-cut on-device model. **PCK@20 = 3.0% / PCK@50 = 18.5%** on a 217-sample holdout — **below the ADR-079 target of ≥ 35%.** Learns coarse structure (`r_hip` 77% PCK@50); distal/face joints near-random. Its runtime path in `cog-pose-estimation/src/inference.rs` is still a centred-skeleton **stub returning `confidence=0`** — the weights are not yet wired in. Full disclosure in the [cog README](v2/crates/cog-pose-estimation/cog/README.md). |
| **Architecture only, no weights** | `archive/v1``DensePoseHead` | Random `kaiming_normal_` init, **no checkpoint of any kind** (zero `.pth`/`.onnx`/`.safetensors` files under `archive/v1/`). Deprecated and superseded — see [`archive/v1/DEPRECATED.md`](archive/v1/DEPRECATED.md). Do not expect real pose output from it. |
**On the ESP32-SISO question ([#509](https://github.com/ruvnet/RuView/issues/509)):** a
single-antenna, 56-subcarrier CSI stream at a 20-frame window does *not* carry the
fine-grained spatial information the multi-antenna NIC research relies on — the cog
measurements above show distal/face joints near-random. The shippable pose accuracy the
project can stand behind today is the **MM-Fi benchmark number**, not a live single-ESP32
number. The path to a first *reproducible* on-device baseline (PCK@20 ≥ 35%) is tracked in
[ADR-079](docs/adr/ADR-079-camera-ground-truth-training.md) / [#645](https://github.com/ruvnet/RuView/issues/645) — do not advertise the live single-ESP32 17-keypoint feature without the "first-cut, below-target, runtime-stub" caveat until that baseline is measured.
</details>
## 🧩 Edge Module Catalog
<details>
<summary><b>🧩 105 edge modules ready to install on a Cognitum appliance</b> — live catalog from <code>app-registry.json</code> v2.1.0 (updated 2026-05-13). Browse + install at <a href="https://seed.cognitum.one/store">seed.cognitum.one/store</a> or your local appliance <code>http://<appliance>:9000/cogs</code>.</summary>
Add signed modules for health, security, buildings, industry, research, AI, and more.
Each module is a small signed binary (~400 KB) that runs alongside the WiFi-DensePose sensing stack on a Cognitum-V0 appliance. The catalog updates over the air — your appliance fetches it via <code>GET /api/v1/edge/registry</code> ([ADR-102](docs/adr/ADR-102-edge-module-registry.md)) and verifies each binary against an Ed25519 signature ([ADR-100](docs/adr/ADR-100-cog-packaging-specification.md)) before install.
<details>
<summary><strong>Browse the full edge module catalog</strong></summary>
Browse and install modules at [seed.cognitum.one/store](https://seed.cognitum.one/store) or on your appliance at `http://<appliance>:9000/cogs`. Each module is a small signed binary that runs beside the sensing stack. The appliance updates the catalog over the air and verifies every module before installation ([ADR-100](docs/adr/ADR-100-cog-packaging-specification.md), [ADR-102](docs/adr/ADR-102-edge-module-registry.md)).
### 🫀 Health — <sub>14 modules</sub>
@@ -403,12 +515,20 @@ Neural Network: processed signals → 17 body keypoints + vital signs + room mod
No training cameras required — the [Self-Learning system (ADR-024)](docs/adr/ADR-024-contrastive-csi-embedding-model.md) bootstraps from raw WiFi data alone. [MERIDIAN (ADR-027)](docs/adr/ADR-027-cross-environment-domain-generalization.md) ensures the model works in any room, not just the one it trained in.
The [Self-Learning system (ADR-024)](docs/adr/ADR-024-contrastive-csi-embedding-model.md) provides
camera-free representation-learning components. Cross-room pose remains a separate, data-gated
problem: [MERIDIAN (ADR-027)](docs/adr/ADR-027-cross-environment-domain-generalization.md) is
**Proposed**, while the measured calibration reference requires labeled CSI/keypoint pairs and
model-specific adapters. See the [model compatibility boundary](docs/user-guide.md#model-and-capture-compatibility).
---
## 🏢 Use Cases & Applications
> **Safety boundary:** these are research and prototype applications, not medical devices,
> emergency systems, or safety-certified controls. Vital-sign and pose outputs require independent
> validation on the exact hardware, room, subjects, and failure conditions before operational use.
WiFi sensing works anywhere WiFi exists. No new hardware in most cases — just software on existing access points or a $8 ESP32 add-on. Because there are no cameras, deployments avoid privacy regulations (GDPR video, HIPAA imaging) by design.
**Scaling:** Each AP distinguishes ~3-5 people (56 subcarriers). Multi-AP multiplies linearly — a 4-AP retail mesh covers ~15-20 occupants. No hard software limit; the practical ceiling is signal physics.
@@ -443,7 +563,7 @@ WiFi sensing works anywhere WiFi exists. No new hardware in most cases — just
| Use Case | What It Does | Hardware | Key Metric | Edge Module |
| **Smart home automation** | Room-level presence triggers (lights, HVAC, music) that work through walls — no dead zones, no motion-sensor timeouts | 2-3 ESP32-S3 nodes ($24) | Through-wall range ~5m | [HVAC Presence](docs/edge-modules/building.md), [Lighting Zones](docs/edge-modules/building.md) |
| **Fitness & sports** | Rep counting, posture correction, breathing cadence during exercise — no wearable, no camera in locker rooms | 3+ ESP32-S3 mesh | Pose: 17 keypoints | [Breathing Sync](docs/edge-modules/exotic.md), [Gait Analysis](docs/edge-modules/medical.md) |
| **Fitness & sports research** | Explore motion and breathing cadence without a wearable or camera; reliable posture correction requires a validated compatible pose model | 3+ ESP32-S3 mesh + edge host | Prototype; no live S3 pose accuracy claim | [Breathing Sync](docs/edge-modules/exotic.md), [Gait Analysis](docs/edge-modules/medical.md) |
| **Event venues & concerts** | Crowd density mapping, crush-risk detection via breathing compression, emergency evacuation flow tracking | Multi-AP mesh (4-8 APs) | Density per m² | [Customer Flow](docs/edge-modules/retail.md), [Panic Motion](docs/edge-modules/security.md) |
| **Stadiums & arenas** | Section-level occupancy for dynamic pricing, concession staffing, emergency egress flow modeling | Enterprise AP grid | 15-20 per AP mesh | [Dwell Heatmap](docs/edge-modules/retail.md), [Queue Length](docs/edge-modules/retail.md) |
@@ -493,15 +613,19 @@ These scenarios exploit WiFi's ability to penetrate solid materials — concrete
---
## 🧠 Self-Learning WiFi AI
Learn compact room fingerprints from raw CSI and adapt the model to each environment.
<details>
<summary><strong>🧠 Self-Learning WiFi AI (ADR-024)</strong> — Adaptive recognition, self-optimization, and intelligent anomaly detection</summary>
<summary><strong>View self-learning architecture and commands</strong></summary>
Every WiFi signal that passes through a room creates a unique fingerprint of that space. WiFi-DensePose already reads these fingerprints to track people, but until now it threw away the internal "understanding" after each reading. The Self-Learning WiFi AI captures and preserves that understanding as compact, reusable vectors — and continuously optimizes itself for each new environment.
**What it does in plain terms:**
- Turns any WiFi signal into a 128-number "fingerprint" that uniquely describes what's happening in a room
- Learns entirely on its own from raw WiFi data — no cameras, no labeling, no human supervision needed
- Recognizes rooms, detects intruders, identifies people, and classifies activities using only WiFi
- Recognizes rooms, detects intruders, and classifies activities using only WiFi (named person-identity is an experimental, data-gated research capability — see below, not a shipped feature)
- Runs on an $8 ESP32 chip (the entire model fits in 55 KB of memory)
- Produces both body pose tracking AND environment fingerprints in a single computation
@@ -512,7 +636,7 @@ Every WiFi signal that passes through a room creates a unique fingerprint of tha
| **Self-supervised learning** | The model watches WiFi signals and teaches itself what "similar" and "different" look like, without any human-labeled data | Deploy anywhere — just plug in a WiFi sensor and wait 10 minutes |
| **Room identification** | Each room produces a distinct WiFi fingerprint pattern | Know which room someone is in without GPS or beacons |
| **Anomaly detection** | An unexpected person or event creates a fingerprint that doesn't match anything seen before | Automatic intrusion and fall detection as a free byproduct |
| **Person re-identification**| Each person disturbs WiFi in a slightly different way, creating a personal signature | Track individuals across sessions without cameras |
| **Person re-identification***(experimental, research)* | A real per-channel similarity matcher (Soul Signature §3.6, `wifi-densepose-bfld`); **measured** result: on WiFi-only cardiac+respiratory channels alone two people are *not* separable (gap ~0.0005) | Honest research capability — **named identity is not claimed** and is data-gated on enrollment with the decisive AETHER/body-resonance channel. See [#1021](https://github.com/ruvnet/RuView/issues/1021) |
| **Environment adaptation** | MicroLoRA adapters (1,792 parameters per room) fine-tune the model for each new space | Adapts to a new room with minimal data — 93% less than retraining from scratch |
| **Memory preservation** | EWC++ regularization remembers what was learned during pretraining | Switching to a new task doesn't erase prior knowledge |
| **Hard-negative mining** | Training focuses on the most confusing examples to learn faster | Better accuracy with the same amount of training data |
@@ -577,7 +701,12 @@ See [`docs/adr/ADR-024-contrastive-csi-embedding-model.md`](docs/adr/ADR-024-con
## 🧩 Claude Code & Codex Plugin
RuView ships a [Claude Code](https://docs.anthropic.com/en/docs/claude-code) plugin (and Codex prompt mirror) that wraps the whole workflow — onboarding, ESP32 setup, configuration, sensing apps, model training, advanced multistatic sensing, CLI/API/WASM, mmWave radar, and witness verification — as 9 skills, 7 `/ruview-*` commands, and 3 agents. It lives in [`plugins/ruview/`](plugins/ruview/README.md); the marketplace manifest is [`.claude-plugin/marketplace.json`](.claude-plugin/marketplace.json) at the repo root.
Use the in-repo plugin for guided setup, sensing, training, and verification in Claude Code or Codex.
<details>
<summary><strong>View plugin installation and commands</strong></summary>
RuView's [Claude Code](https://docs.anthropic.com/en/docs/claude-code) plugin and Codex prompt mirror cover onboarding, ESP32 setup, sensing apps, model training, advanced sensing, CLI/API/WASM, mmWave radar, and witness verification. The source lives in [`plugins/ruview/`](plugins/ruview/README.md); the marketplace manifest is [`.claude-plugin/marketplace.json`](.claude-plugin/marketplace.json).
```bash
# In Claude Code — add this repo as a plugin marketplace, then install:
@@ -601,27 +730,50 @@ claude --plugin-dir ./plugins/ruview
Verify the plugin structure: `bash plugins/ruview/scripts/smoke.sh`. Full details: [`plugins/ruview/README.md`](plugins/ruview/README.md).
**Live sensing pane (Claude Code mod):** the same marketplace also lists `ruview-live`, a Claude Code mod.
- Install it with `/plugin install ruview-live@ruview`, or run `npx @ruvnet/ruview@0.9.1 mod` for its path inside the npm package.
-`/ruview` opens a pane beside the transcript with your CSI nodes and radar, refreshed on a timer, plus a one-line status.
- It is read-only.
- Mods are early access; if `/ruview` is missing, start Claude Code with `CLAUDE_CODE_ENABLE_FUNCTION_HOOKS=1`. See [ADR-377](docs/adr/ADR-377-ruview-live-claude-code-mod.md).
For the portable RuView MetaHarness, use `npx @ruvnet/ruview@0.9.1`. The quick commands and a fuller explanation are in the collapsed MetaHarness section near the top of this README, in [`harness/ruview/`](harness/ruview/README.md), and in the [user guide](docs/user-guide.md#ruview-npm-toolkit-ruvnetruview).
</details>
---
## 📖 Documentation
Start with the user, build, and calibration guides; expand for the full reference map.
<details>
<summary><strong>Browse all documentation</strong></summary>
| Document | Description |
|----------|-------------|
| [User Guide](docs/user-guide.md) | Step-by-step guide: installation, first run, API usage, hardware setup, training |
| [Build Guide](docs/build-guide.md) | Building from source (Rust and Python) |
| [Calibration & Room Training Guide](docs/calibration-guide.md) | What `calibrate`/`enroll`/`train-room` actually enforce: minimum frame counts, per-anchor quality gates, the pet/small-motion presence-detection caveat, and empty-room baseline conditions — grounded in the real code, not just ADR-135/151 |
| [Trust State & Engine Errors](docs/trust-and-engine-errors.md) | What `engine_error_count` and `demoted` mean on `/api/v1/status`, exact trigger conditions, the current diagnostic gap (no per-cause breakdown), the `WDP_GUARD_INTERVAL_US` recovery path, and why a converted Hugging Face model isn't shown to be the cause in code |
| [**Home Assistant + Matter Integration**](docs/integrations/home-assistant.md) | **Works with Home Assistant** via MQTT auto-discovery + **Works with Matter** (Apple Home / Google Home / Alexa / SmartThings) — full entity catalog, 3 starter blueprints, Lovelace dashboards, privacy mode, threshold tuning ([ADR-115](docs/adr/ADR-115-home-assistant-integration.md)). |
| [**BFLD — Beamforming Feedback Layer for Detection**](v2/crates/wifi-densepose-bfld/README.md) | New privacy-gated WiFi sensing layer that measures + structurally prevents identity leakage from 802.11ac/ax Beamforming Feedback Information. Three type-enforced invariants (raw BFI never exits node, identity embedding is in-RAM-only, cross-site correlation cryptographically impossible via per-site BLAKE3 keyed hash + daily rotation). Ships full operator surface (`BfldPipeline`, `BfldPipelineHandle`, Soul Signature `SoulMatchOracle` integration), MQTT topic router + HA-DISCO + availability + LWT, 3 operator HA blueprints, two runnable examples, eclipse-mosquitto:2 CI service container. 327+ tests. [ADR-118](docs/adr/ADR-118-bfld-beamforming-feedback-layer-for-detection.md) umbrella + sub-ADRs [119](docs/adr/ADR-119-bfld-frame-format-and-wire-protocol.md)/[120](docs/adr/ADR-120-bfld-privacy-class-and-hash-rotation.md)/[121](docs/adr/ADR-121-bfld-identity-risk-scoring.md)/[122](docs/adr/ADR-122-bfld-ruview-ha-matter-exposure.md)/[123](docs/adr/ADR-123-bfld-capture-path-nexmon-and-esp32.md). Research dossier: [`docs/research/BFLD/`](docs/research/BFLD/) (11 files, 13,544 words). |
| [**BFLD — Beamforming Feedback Layer for Detection**](v2/crates/wifi-densepose-bfld/README.md) | New privacy-gated WiFi sensing layer that measures + structurally prevents identity leakage from 802.11ac/ax Beamforming Feedback Information. Three type-enforced invariants (raw BFI never exits node, identity embedding is in-RAM-only, cross-site correlation cryptographically impossible via per-site BLAKE3 keyed hash + daily rotation). Ships full operator surface (`BfldPipeline`, `BfldPipelineHandle`, the Soul Signature §3.6 per-channel matcher `EnrolledMatcher`/`SoulMatchOracle` — experimental; named identity is data-gated, **measured** as not-separable on WiFi-only channels alone), MQTT topic router + HA-DISCO + availability + LWT, 3 operator HA blueprints, two runnable examples, eclipse-mosquitto:2 CI service container. 327+ tests. [ADR-118](docs/adr/ADR-118-bfld-beamforming-feedback-layer-for-detection.md) umbrella + sub-ADRs [119](docs/adr/ADR-119-bfld-frame-format-and-wire-protocol.md)/[120](docs/adr/ADR-120-bfld-privacy-class-and-hash-rotation.md)/[121](docs/adr/ADR-121-bfld-identity-risk-scoring.md)/[122](docs/adr/ADR-122-bfld-ruview-ha-matter-exposure.md)/[123](docs/adr/ADR-123-bfld-capture-path-nexmon-and-esp32.md). Research dossier: [`docs/research/BFLD/`](docs/research/BFLD/) (11 files, 13,544 words). |
| [Semantic Primitives — Precision/Recall](docs/integrations/semantic-primitives-metrics.md) | Per-primitive F1 on the held-out paired-capture set: someone-sleeping, possible-distress, room-active, elderly-inactivity-anomaly, meeting, bathroom, fall-risk, bed-exit, no-movement, multi-room. |
| [Claude Code / Codex Plugin](plugins/ruview/README.md) | The `ruview` plugin + marketplace — skills, `/ruview-*` commands, agents, and the Codex prompt mirror |
| [Architecture Decisions](docs/adr/README.md) | 96 ADRs — why each technical choice was made, organized by domain (hardware, signal processing, ML, platform, infrastructure) |
| [Portable harness — `npx @ruvnet/ruview`](harness/ruview/README.md) | MetaHarness-minted, host-portable RuView operator harness — `ruview.*` MCP tools + the MEASURED-vs-CLAIMED honesty guardrail enforced in code ([ADR-182](docs/adr/ADR-182-npx-ruview-harness-via-metaharness.md)). A lighter, multi-host companion to the in-repo plugin. |
| [CSI Frame Selection — Measured](docs/csi-frame-selection-measured.md) | Which rate gate actually buys cross-node pairing, measured on a nine-node ESP32-C6 fleet as a 2x2 factorial in three Latin-square blocks. Selecting frames by 802.11 `rx_seq` roughly doubled pairing (+31.7 pp) while mesh-time alignment bought +0.5 pp, inside noise. Includes the trade it makes, a prediction that turned out wrong, the limits of the measurement, and `run_arms.py` so the comparison can be re-run rather than taken on trust. |
| [ESP32-C6 Firmware Runbook](firmware/esp32-csi-node/RUNBOOK.md) | What to run, in what order, and what to check: the three-file build that keeps OTA rollback compiled in, a five-key pre-flash gate, which flash regions OTA can and cannot reach, a single-board diagnostic flash with a revert path, and the tunables whose right value depends on your house rather than on the chip. |
| [Architecture Decisions](docs/adr/README.md) | 205 ADRs — why each technical choice was made, organized by domain (hardware, signal processing, ML, platform, infrastructure) |
| [Domain Models](docs/ddd/README.md) | 8 DDD models (RuvSense, Signal Processing, Training Pipeline, Hardware Platform, Sensing Server, WiFi-Mat, CHCI, rvCSI) — bounded contexts, aggregates, domain events, and ubiquitous language |
| [rvCSI — edge RF sensing runtime](https://github.com/ruvnet/rvcsi) | Rust-first / TypeScript-accessible / hardware-abstracted CSI runtime: multi-source ingestion (incl. real nexmon_csi `.pcap` from a **Raspberry Pi 5** / Pi 4 / Pi 3B+ — CYW43455 / BCM43455c0) → validation → DSP → typed events → RuVector RF memory ([ADR-095](docs/adr/ADR-095-rvcsi-edge-rf-sensing-platform.md), [ADR-096](docs/adr/ADR-096-rvcsi-ffi-crate-layout.md), [domain model](docs/ddd/rvcsi-domain-model.md)). Now its own repo — [`ruvnet/rvcsi`](https://github.com/ruvnet/rvcsi) — vendored here under `vendor/rvcsi`; 9 `rvcsi-*` crates on crates.io, `@ruv/rvcsi` on npm, plus a Claude Code plugin. |
| [Desktop App](v2/crates/wifi-densepose-desktop/README.md) | **WIP** — Tauri v2 desktop app for node management, OTA updates, WASM deployment, and mesh visualization |
So: the architecture is *defined*, but it is **architecture-only**. Running it produces
random output, not real pose accuracy. This matches the technical review in
[#509](https://github.com/ruvnet/RuView/issues/509) — for *this tree*, the "network
defined, no pre-trained weights" observation is TRUE.
Real, trained, benchmarked weights **do** exist — just not here. They live in the
maintained `v2/` workspace and on Hugging Face (see next section).
## Use the maintained path instead
| You want… | Go here |
|-----------|---------|
| The maintained implementation | The **`v2/` Rust workspace** (repo root `../../v2/`) |
| A pip install | `pip install ruview`**or**`pip install wifi-densepose` (2.x) — the compiled PyO3 wheel ([ADR-117](../../docs/adr/ADR-117-pip-wifi-densepose-modernization.md)). The `wifi-densepose`**1.x** line is tombstoned on PyPI: `1.99.0` raises an `ImportError` telling you to migrate. |
| A real 17-keypoint pose model | [`ruvnet/wifi-densepose-mmfi-pose`](https://huggingface.co/ruvnet/wifi-densepose-mmfi-pose) — 82.69% torso-PCK@20 on MM-Fi `random_split` |
| The honest three-tier weights picture | The "Model weights: what's real, what's not" table in the root [`README.md`](../../README.md) and [`docs/user-guide.md`](../../docs/user-guide.md) |
## What still lives here (intentionally)
Only one thing under `archive/v1/` is still a live, cited signal: the deterministic
reference-pipeline proof —
```bash
python archive/v1/data/proof/verify.py # must print VERDICT: PASS
```
This is the ADR-028 "Trust Kill Switch": it feeds a fixed reference signal through the
signal-processing pipeline and checks the SHA-256 of the output against a published hash.
It is a legitimate reproducibility witness and is **not** deprecated. Everything else in
"prompt":"ruviewstyle room visualization, a living room with a glowing cyan pose skeleton overlay, wifi signal arcs radiating across the space, a vitals readout panel, dark tech aesthetic, synthetic sensor visualization",
<titleid="title">RuView · WiFi becomes spatial awareness.</title><descid="desc">RuView-focused animation showing WiFi sensors, spatial perception, Ruflo coordination and an illustrative ruOS sensing workspace. Room occupancy and actions are synthetic examples, not live measurements.</desc>
.vortex{transform-origin:480px 270px;animation:vortexCW 36s linear infinite}.counter{transform-origin:480px 270px;animation:vortexCCW 54s linear infinite}
@keyframes current{to{stroke-dashoffset:-1200}}.current{animation:current 9s linear infinite}
@keyframes comet{0%{opacity:0;transform:translate(-160px,70px)}12%{opacity:.65}58%{opacity:.25}75%,100%{opacity:0;transform:translate(1060px,-300px)}}.comet{animation:comet 9s linear infinite}
<textx="225"y="241"font-size="13"font-weight="700">Room activity</text><textx="225"y="257"font-size="9"class="muted">Synthetic scene · Presence and motion</text>
<circlecx="699"cy="235"r="5"fill="#272317"stroke="#be9f54"/><textx="713"y="239"font-size="11">Sense</text><textx="713"y="254"font-size="8"class="muted">Read room events from RuView</text><circlecx="699"cy="288"r="5"fill="#272317"stroke="#be9f54"/><textx="713"y="292"font-size="11">Evaluate</text><textx="713"y="307"font-size="8"class="muted">Check the configured rule</text><circlecx="699"cy="341"r="5"fill="#272317"stroke="#be9f54"/><textx="713"y="345"font-size="11">Act</text><textx="713"y="360"font-size="8"class="muted">Request an approved action</text><gclass="done all"><rectx="693"y="381"width="181"height="29"rx="5"fill="#332b1b"stroke="#89713b"/><textx="784"y="400"text-anchor="middle"font-size="10"class="gold">✓ Room event processed</text></g>
| **exo_rain_detect** | empty room, 60-frame baseline, then broadband variance (8/8 groups, ratio≫2.5) for ≥10 frames vs stable-low | **acc 1.000** (TP1 FP0 TN1 FN0) | MEASURED |
| **sig_flash_attention** | sustained high phase+amplitude in each of the 8 subcarrier groups; assert reported attention peak == planted group | **peak-localization 8/8 = 1.000** | MEASURED |
| **spt_spiking_tracker** | sparse (2-subcarrier) large phase-delta in each of the 4 zones; assert tracked zone == planted zone | **zone-localization 4/4 = 1.000** | MEASURED ‡ |
| **sig_optimal_transport** | sustained large frame-to-frame amplitude-distribution change vs stationary | **acc 1.000** (TP1 FP0 TN1 FN0) | MEASURED |
| `med_seizure_detect` | "seizure-like" motion is not a seizure; no ground-truth signature exists synthetically | Clinical EEG-/video-labelled tonic-clonic seizure CSI from instrumented patients |
| `med_sleep_apnea` | a planted breathing-pause is not clinical apnea (AHI scoring, hypopnea, desaturation) | Polysomnography-labelled (PSG) overnight CSI with scored apnea/hypopnea events |
| `med_cardiac_arrhythmia` | a synthetic HR sequence cannot encode true arrhythmia morphology | ECG-labelled CSI (AFib/PVC/etc.) from clinical monitoring |
| `med_respiratory_distress` | distress is a clinical gestalt, not a plantable rate | Clinician-labelled respiratory-distress CSI episodes |
| `med_gait_analysis` | clinical gait metrics need a reference motion-capture standard | Mocap-/force-plate-labelled gait CSI |
| `sec_weapon_detect` | a high variance ratio is RF reflectivity, **not** weapon discrimination (ADR-160 §A3 already renamed the event to `HIGH_METAL_REFLECTIVITY`) | Labelled metal-object-vs-no-object CSI with controlled object classes |
| `exo_emotion_detect` | affect is not recoverable from a planted heuristic; outputs are proxies (ADR-160 §A2) | Validated affect-labelled CSI (self-report / physiological ground truth) |
| `exo_happiness_score` | "happiness" is a gait-energy proxy, not a measured affect (ADR-160 §A2) | Validated affect/valence-labelled CSI |
"note":"3 interleaved repetitions per variant, median ms/window; onnx_fp32 / onnx_int8_ort_dynamic are same-session references",
"onnx_fp32":{
"batch1_reps":[
4.5327999996516155,
2.535649999117595,
2.167549997466267
],
"batch64_reps":[
1.9354515624740998,
2.4948054687854437,
1.9334703125082342
],
"batch1_ms_per_window_median":2.535649999117595,
"batch64_ms_per_window_median":1.9354515624740998
},
"onnx_int8_ort_dynamic":{
"batch1_reps":[
5.698599999959697,
5.721350000385428,
4.805099997611251
],
"batch64_reps":[
4.096601562508795,
4.857628124995017,
4.583800000006022
],
"batch1_ms_per_window_median":5.698599999959697,
"batch64_ms_per_window_median":4.583800000006022
},
"entropy_all":{
"batch1_reps":[
6.444149999879301,
5.038299999796436,
5.713200000172947
],
"batch64_reps":[
4.149468750028973,
3.437125000004926,
4.410960937491382
],
"batch1_ms_per_window_median":5.713200000172947,
"batch64_ms_per_window_median":4.149468750028973
},
"entropy_conv":{
"batch1_reps":[
4.874750000453787,
5.169099998965976,
5.236699998931726
],
"batch64_reps":[
3.010160156236452,
3.1175546875203963,
3.516850781238645
],
"batch1_ms_per_window_median":5.169099998965976,
"batch64_ms_per_window_median":3.1175546875203963
},
"percentile_all":{
"batch1_reps":[
5.184749999898486,
5.2898499998264015,
5.916899999647285
],
"batch64_reps":[
4.305105468745296,
4.460741406262514,
4.184502343747454
],
"batch1_ms_per_window_median":5.2898499998264015,
"batch64_ms_per_window_median":4.305105468745296
},
"percentile_conv":{
"batch1_reps":[
4.916449999655015,
7.150899999032845,
5.284949998895172
],
"batch64_reps":[
3.855813281262499,
4.688969531230214,
5.220103124997877
],
"batch1_ms_per_window_median":5.284949998895172,
"batch64_ms_per_window_median":4.688969531230214
},
"minmax_all":{
"batch1_reps":[
6.463300000177696,
7.149449998905766,
5.3209000016067876
],
"batch64_reps":[
3.9251343750095202,
4.033442187505898,
3.428199218745931
],
"batch1_ms_per_window_median":6.463300000177696,
"batch64_ms_per_window_median":3.9251343750095202
},
"minmax_conv":{
"batch1_reps":[
5.9961499991914025,
5.236549999608542,
4.854399998293957
],
"batch64_reps":[
4.368359375007458,
3.249617187492504,
3.0238906249735464
],
"batch1_ms_per_window_median":5.236549999608542,
"batch64_ms_per_window_median":3.249617187492504
}
},
"accuracy_subset":{
"description":"seed-42 file-level 70/15/15 test split, corrupted windows excluded, seed-42 random subset (same as quantize_bench/eval_ort_accuracy)",
"subset_size":10000
}
},
"tiny_variant":{
"env":{
"torch":"2.12.0+cpu",
"onnxruntime":"1.26.0",
"platform":"Windows-11-10.0.26200-SP0",
"num_threads":16,
"checkpoint":"results\\tiny_best.pth",
"checkpoint_size_bytes":340555,
"params":56290,
"variant_config":{
"tcn":[
68,
56,
44,
32
],
"conv":[
2,
4,
8,
16
],
"attn_groups":2,
"groups_mode":"depthwise",
"input_pw_groups":4
}
},
"export":{
"mode":"dynamic-batch",
"exporter":"torchscript",
"opset":17,
"file":"tiny_fp32_dynamic.onnx",
"size_bytes":295279,
"size_mb":0.295279,
"verified_batches":[
1,
2,
64
],
"note":"AdaptiveAvgPool2d((15,1)) replaced at export by an exact mean(-1) + constant averaging matmul (final_width 16 is not a multiple of 15, which the TorchScript exporter rejects); exactness proven by the parity check vs the original torch model"
},
"parity":{
"fixture":"results/parity_fixture.npz input (batch 2, seed 42); reference output recomputed with the tiny torch model",
"description":"seed-42 file-level 70/15/15 test split, corrupted windows excluded, seed-42 random subset (same as quantize_bench/eval_ort_accuracy/static_ptq_bench)",
echo"[entrypoint] Docker Desktop/OrbStack on macOS rewrite the source to the bridge" >&2
echo"[entrypoint] gateway, so the allowlist must name <gateway>/32, not the LAN subnet." >&2
echo"[entrypoint] See https://github.com/ruvnet/RuView/issues/2089" >&2
;;
esac
fi
fi
set -- /app/sensing-server \
--source "${CSI_SOURCE:-auto}"\
--tick-ms 100\
--ui-path /app/ui \
--http-port 3000\
--ws-port 3001\
--bind-addr 0.0.0.0\
--bind-addr "${RUVIEW_BIND_ADDR:-0.0.0.0}"\
"$@"
fi
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