Improve README spatial visuals with distinct sensing motion and typography

fix(toolkit): integrate capture/device corrections for 0.9.2

.claude-plugin/marketplace.json

@@ -10,6 +10,11 @@
       "name": "ruview",
       "source": "./plugins/ruview",
       "description": "End-to-end RuView toolkit: getting started, ESP32 hardware setup, configuration, sensing applications (presence / vitals / pose / sleep / MAT), camera-free + camera-supervised model training, advanced multistatic sensing, CLI / API / WASM, mmWave radar, and witness verification"
+    },
+    {
+      "name": "ruview-live",
+      "source": "./harness/ruview/mod",
+      "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)."
     }
   ]
 }

.github/scripts/nightly-sota/agent.mjs

@@ -135,6 +135,10 @@ async function runProcess(command, args, {
         resolve(result);
       });
     });
+    // A child that never reads stdin (e.g. `git check-ignore`) may exit and
+    // close the pipe before this write flushes; the resulting EPIPE is not a
+    // failure of the command, whose real outcome the 'close' handler reports.
+    child.stdin.on('error', () => {});
     child.stdin.end(input);
   });
 }

.github/workflows/bfi-research.yml

@@ -0,0 +1,43 @@
+name: BFI Research Tools
+
+on:
+  pull_request:
+    paths:
+      - 'tools/bfi/**'
+      - 'tools/bfi_learning/**'
+      - '.github/workflows/bfi-research.yml'
+  push:
+    branches: [main]
+    paths:
+      - 'tools/bfi/**'
+      - 'tools/bfi_learning/**'
+      - '.github/workflows/bfi-research.yml'
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+concurrency:
+  group: bfi-research-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  offline-tests:
+    name: BFI offline tests (Linux, CPU)
+    runs-on: ubuntu-latest
+    timeout-minutes: 15
+    steps:
+      - uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262
+        with:
+          persist-credentials: false
+      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1
+        with:
+          python-version: '3.13'
+      - name: Install numeric test dependencies
+        run: python -m pip install numpy==2.4.2 scipy==1.17.1
+      - name: Install CPU PyTorch
+        run: python -m pip install torch==2.11.0 --index-url https://download.pytorch.org/whl/cpu
+      - name: Test capture parsing and bounded runners
+        run: python -B -m unittest discover -s tools/bfi -v
+      - name: Test offline learning and data admission
+        run: python -B -m unittest discover -s tools/bfi_learning -v

.github/workflows/ci.yml

@@ -204,7 +204,10 @@ jobs:
         node-version: '22'
 
     - name: Run UI unit tests
-      run: node --test ui/sw.test.mjs ui/services/ws-ticket.test.mjs ui/services/websocket.service.test.mjs v2/crates/wifi-densepose-desktop/ui/build-config.test.mjs
+      run: node --test ui/sw.test.mjs ui/services/ws-ticket.test.mjs ui/services/websocket.service.test.mjs ui/services/sensing.service.test.mjs ui/components/DashboardTab.test.mjs v2/crates/wifi-densepose-desktop/ui/build-config.test.mjs
+
+    - name: Run virtual-view adapter boundary tests
+      run: node --test integrations/virtual-view/adapter.test.mjs
 
   # Unit and Integration Tests
   # Python pytest matrix — runs against the archived v1 Python tree.
@@ -501,7 +504,7 @@ jobs:
   notify:
     name: Notify
     runs-on: ubuntu-latest
-    needs: [code-quality, test, rust-tests, performance-test, docker-build, docs]
+    needs: [code-quality, test, rust-tests, ui-tests, performance-test, docker-build, docs]
     if: always()
     permissions:
       contents: write   # required by softprops/action-gh-release
@@ -528,18 +531,22 @@ jobs:
         text: '❌ CI pipeline failed for ${{ github.ref }}'
 
     - name: Create GitHub Release
-      if: github.ref == 'refs/heads/main' && needs.docker-build.result == 'success'
+      if: github.ref == 'refs/heads/main' && needs.rust-tests.result == 'success' && needs.ui-tests.result == 'success' && needs.docker-build.result == 'success'
       uses: softprops/action-gh-release@3bb12739c298aeb8a4eeaf626c5b8d85266b0e65
       with:
         tag_name: v${{ github.run_number }}
-        name: Release v${{ github.run_number }}
+        name: CI snapshot v${{ github.run_number }}
+        # CI snapshots must not replace a curated product release as Latest.
+        make_latest: false
         body: |
-          Automated release from CI pipeline
+          Source snapshot validated by the CI pipeline. This entry does not contain firmware bundles.
 
           **Changes:**
           ${{ github.event.head_commit.message }}
 
-          **Docker Image:**
-          `${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ github.sha }}`
+          **Source commit:** `${{ github.sha }}`
+
+          Container images publish separately through the [sensing-server release workflow](https://github.com/ruvnet/RuView/actions/workflows/sensing-server-docker.yml).
+          Firmware downloads are attached to the dedicated `vX.Y.Z-esp32` releases.
         draft: false
         prerelease: false

.github/workflows/firmware-ci.yml

@@ -16,6 +16,17 @@ on:
       - '.github/workflows/firmware-ci.yml'
 
 jobs:
+  provisioning-tests:
+    name: Provisioning tooling tests
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262
+      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1
+        with:
+          python-version: '3.11'
+      - name: Verify provisioning and secret handling without hardware
+        run: python -m unittest discover -s firmware/esp32-csi-node/tests -p 'test_provision*.py' -v
+
   version-guard:
     name: Verify version.txt matches release tag
     runs-on: ubuntu-latest
@@ -53,7 +64,9 @@ jobs:
             sdkconfig: sdkconfig.defaults
             partition_table_name: partitions_display.csv
             size_warn_kb: 1100
-            size_limit_kb: 1152
+            # Current 8 MB image is 1163 KiB after USB onboarding. The OTA app
+            # partition is 2048 KiB; retain a 1200 KiB hard gate and warning.
+            size_limit_kb: 1200
             artifact_app: esp32-csi-node.bin
             artifact_pt: partition-table.bin
           - variant: 4mb
@@ -92,12 +105,11 @@ jobs:
           idf.py set-target ${{ matrix.target }}
           idf.py build
 
-      - name: Build and run host-side ADR-110 unit tests
+      - name: Build and run host-side firmware unit tests
         if: matrix.variant == 'c6-4mb'
         working-directory: firmware/esp32-csi-node/test
         run: |
-          make test_adr110
-          ./test_adr110
+          make host_tests
 
       - name: Verify binary size budget
         working-directory: firmware/esp32-csi-node
@@ -118,6 +130,10 @@ jobs:
           fi
           echo "Binary size OK: $SIZE <= $MAX"
 
+      - name: Verify built application version before packaging
+        working-directory: firmware/esp32-csi-node
+        run: python test/test_delivery_contract.py --built-app build/esp32-csi-node.bin
+
       - name: Verify flash image integrity
         working-directory: firmware/esp32-csi-node
         run: |
@@ -162,10 +178,14 @@ jobs:
           mkdir -p release-staging
           cp build/esp32-csi-node.bin                      release-staging/${{ matrix.artifact_app }}
           cp build/partition_table/partition-table.bin     release-staging/${{ matrix.artifact_pt }}
-          if [ "${{ matrix.variant }}" = "8mb" ]; then
-            cp build/bootloader/bootloader.bin             release-staging/bootloader.bin
-            cp build/ota_data_initial.bin                  release-staging/ota_data_initial.bin
-          fi
+          cp build/bootloader/bootloader.bin               release-staging/bootloader.bin
+          cp build/ota_data_initial.bin                    release-staging/ota_data_initial.bin
+          cp version.txt                                   release-staging/version.txt
+          (cd release-staging && sha256sum \
+            "${{ matrix.artifact_app }}" \
+            "${{ matrix.artifact_pt }}" \
+            bootloader.bin ota_data_initial.bin version.txt \
+            > SHA256SUMS.txt)
           ls -la release-staging/
 
       - name: Check QEMU ESP32-S3 support status
@@ -180,3 +200,59 @@ jobs:
           name: esp32-csi-node-firmware-${{ matrix.variant }}
           path: firmware/esp32-csi-node/release-staging/
           retention-days: 90
+
+  build-c6-idf6:
+    name: Build XIAO C6 external antenna (ESP-IDF 6.0.2)
+    runs-on: ubuntu-latest
+    container:
+      image: espressif/idf:v6.0.2
+    steps:
+      - uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262
+        with:
+          submodules: recursive
+
+      - name: Build the IDF 6 canary image
+        working-directory: firmware/esp32-csi-node
+        run: |
+          . $IDF_PATH/export.sh
+          idf.py -D SDKCONFIG_DEFAULTS="sdkconfig.defaults;sdkconfig.defaults.esp32c6;sdkconfig.defaults.xiao-external" set-target esp32c6
+          idf.py build
+          test "$(stat -c%s build/esp32-csi-node.bin)" -le $((1152 * 1024))
+          strings build/esp32-csi-node.bin | grep -F "external U.FL"
+
+  publish-release-assets:
+    name: Publish firmware release assets
+    if: github.ref_type == 'tag'
+    needs: [version-guard, provisioning-tests, build, build-c6-idf6]
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+    steps:
+      - name: Download the exact-run firmware artifacts
+        uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093
+        with:
+          pattern: esp32-csi-node-firmware-*
+          path: release-downloads
+
+      - name: Package variants without filename collisions
+        run: |
+          mkdir -p release-assets
+          for directory in release-downloads/esp32-csi-node-firmware-*; do
+            variant="${directory##*/}"
+            tar -C "$directory" -czf "release-assets/${variant}.tar.gz" .
+          done
+          (cd release-assets && sha256sum *.tar.gz > SHA256SUMS.txt)
+
+      - name: Publish the downloadable firmware bundles
+        uses: softprops/action-gh-release@3bb12739c298aeb8a4eeaf626c5b8d85266b0e65
+        with:
+          name: ESP32 firmware ${{ github.ref_name }}
+          prerelease: true
+          make_latest: false
+          body: |
+            Exact-run ESP32-S3 display 8 MB, ESP32-S3 headless 4 MB, and ESP32-C6 4 MB firmware bundles.
+            Verify each archive against `SHA256SUMS.txt` before flashing.
+            CI builds and host tests verify software behavior, not target hardware.
+            This prerelease has no new physical-board qualification or sensing-accuracy claim.
+            Select the matching board configuration using firmware/esp32-csi-node/README.md.
+          files: release-assets/*

.github/workflows/npm-packages.yml

@@ -41,8 +41,12 @@ jobs:
             build: false
             publishable: true
             # ADR-283/325: brain + local hosts + replay assets + guarded Spaces OAuth adapter;
-            # still runtime-dependency-free. 160 KiB is the reviewed hard ceiling.
-            unpacked_budget: 163840
+            # still runtime-dependency-free. ADR-369..374 add the SDK, firmware
+            # flashing, training runner/gate, doctor, device access, and SSH
+            # hosts. ADR-375 adds the MCP Apps console widget (~12 KB), the
+            # Streamable HTTP transport and the terminal UI (384 KiB); ADR-378 the
+            # ruview-live showcase views (~37 KB): 448 KiB reviewed ceiling.
+            unpacked_budget: 458752
           - dir: harness/homecore
             build: false
             publishable: true
@@ -131,13 +135,19 @@ jobs:
           npm i --no-fund --no-audit "$TGZ"
           case "${{ matrix.package.dir }}" in
             harness/ruview)
-              ./node_modules/.bin/ruview --version
-              ./node_modules/.bin/ruview doctor
+              ./node_modules/.bin/ruview-harness --version
+              ./node_modules/.bin/ruview-harness doctor
               # the honesty gate must fail closed on empty input (ADR-263 F1)
-              if ./node_modules/.bin/ruview claim-check; then
+              if ./node_modules/.bin/ruview-harness claim-check; then
                 echo 'claim-check passed with no input — fail-open regression'; exit 1
               fi
               node --input-type=module -e "const m = await import('@ruvnet/ruview'); if (!m.TOOLS) process.exit(1);"
+              # ADR-369: the typed SDK resolves and the evidence gate refuses a baseline-free score
+              node --input-type=module -e "const { createRuView } = await import('@ruvnet/ruview/sdk'); const r = createRuView(); if (r.tools().length < 22) process.exit(1); const g = await r.training.gate({ model_score: 0.93 }); if (g.verdict !== 'FAIL') process.exit(1);"
+              ./node_modules/.bin/ruview-harness doctor --json --group runtime,harness,firmware > doctor.json
+              if ./node_modules/.bin/ruview-harness train-gate --model-score 0.93 > /dev/null; then
+                echo 'train-gate passed without a baseline'; exit 1
+              fi
               ;;
             harness/homecore)
               ./node_modules/.bin/homecore --version

.github/workflows/readme-visuals.yml

@@ -0,0 +1,44 @@
+name: README visual asset validation
+
+on:
+  pull_request:
+    paths:
+      - 'README.md'
+      - 'assets/readme/**'
+      - 'docs/readme-visual-system.md'
+      - 'scripts/*readme*'
+      - 'scripts/tests/test_readme_visuals_xml.py'
+      - '.github/workflows/readme-visuals.yml'
+  push:
+    branches: [main]
+    paths:
+      - 'README.md'
+      - 'assets/readme/**'
+      - 'docs/readme-visual-system.md'
+      - 'scripts/*readme*'
+      - 'scripts/tests/test_readme_visuals_xml.py'
+      - '.github/workflows/readme-visuals.yml'
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  verify:
+    name: Safe and reproducible README visuals
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262
+      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1
+        with:
+          python-version: '3.11'
+      - name: Install visual tooling dependency
+        run: python -m pip install -r scripts/requirements-readme-visuals.txt
+      - name: Test XML input boundaries
+        run: python -m unittest discover -s scripts/tests -p test_readme_visuals_xml.py
+      - name: Verify reproducible and accessible assets
+        run: |
+          python scripts/render-readme-visuals.py
+          python scripts/verify-readme-visuals.py
+          git diff --exit-code -- assets/readme
+          test -z "$(git ls-files --others --exclude-standard -- assets/readme)"

.github/workflows/ruforecast-ci.yml

@@ -0,0 +1,627 @@
+name: RuForecast Rust CI
+
+on:
+  push:
+    branches: [main, develop, 'feat/*', 'feature/*']
+    paths:
+      - 'v2/crates/ruforecast'
+      - 'v2/Cargo.toml'
+      - 'v2/Cargo.lock'
+      - 'v2/rust-toolchain.toml'
+      - 'scripts/csi-data-policy-check.sh'
+      - 'scripts/run-ruforecast-benchmarks.sh'
+      - 'docs/adr/ADR-348-*.md'
+      - 'docs/adr/ADR-349-*.md'
+      - 'docs/adr/ADR-350-*.md'
+      - 'docs/adr/README.md'
+      - 'docs/benchmarks/ruforecast.md'
+      - 'docs/huggingface/RUVIEW_FORECAST_MODEL_CARD_TEMPLATE.md'
+      - 'docs/security/ruview-forecast-*'
+      - 'docs/validation/ruforecast-requirements-evidence.md'
+      - '.github/workflows/ruforecast-ci.yml'
+  pull_request:
+    branches: [main, develop]
+    paths:
+      - 'v2/crates/ruforecast'
+      - 'v2/Cargo.toml'
+      - 'v2/Cargo.lock'
+      - 'v2/rust-toolchain.toml'
+      - 'scripts/csi-data-policy-check.sh'
+      - 'scripts/run-ruforecast-benchmarks.sh'
+      - 'docs/adr/ADR-348-*.md'
+      - 'docs/adr/ADR-349-*.md'
+      - 'docs/adr/ADR-350-*.md'
+      - 'docs/adr/README.md'
+      - 'docs/benchmarks/ruforecast.md'
+      - 'docs/huggingface/RUVIEW_FORECAST_MODEL_CARD_TEMPLATE.md'
+      - 'docs/security/ruview-forecast-*'
+      - 'docs/validation/ruforecast-requirements-evidence.md'
+      - '.github/workflows/ruforecast-ci.yml'
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+concurrency:
+  group: ruforecast-${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+env:
+  CARGO_TERM_COLOR: always
+  CARGO_PROFILE_DEV_DEBUG: '0'
+  CARGO_PROFILE_TEST_DEBUG: '0'
+  CARGO_PROFILE_BENCH_DEBUG: '0'
+  CARGO_PROFILE_RELEASE_DEBUG: '0'
+
+jobs:
+  contract-rust-189:
+    name: Forecast contract and feature-off boundary (Rust 1.89)
+    runs-on: ubuntu-latest
+    timeout-minutes: 45
+    steps:
+      - name: Checkout recursively
+        uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262
+        with:
+          persist-credentials: false
+          submodules: recursive
+
+      - name: Install Rust 1.89 with lint components
+        uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4
+        with:
+          toolchain: 1.89.0
+          components: rustfmt,clippy
+
+      - name: Cache Cargo artifacts
+        uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32
+        with:
+          workspaces: v2/crates/ruforecast
+          key: ruforecast-rust-189
+
+      - name: Validate benchmark runner and evidence contract
+        shell: bash
+        run: |
+          set -euo pipefail
+          bash -n scripts/run-ruforecast-benchmarks.sh
+          test -x scripts/run-ruforecast-benchmarks.sh
+          test -f docs/benchmarks/ruforecast.md
+          test -f docs/huggingface/RUVIEW_FORECAST_MODEL_CARD_TEMPLATE.md
+          test -f docs/security/ruview-forecast-clean-room.md
+          test -f docs/security/ruview-forecast-threat-model.md
+          test -f docs/validation/ruforecast-requirements-evidence.md
+
+          for adr_number in 348 349 350; do
+            mapfile -t adr_files < <(
+              find docs/adr -maxdepth 1 -type f -name "ADR-${adr_number}-*.md" -print
+            )
+            if [[ "${#adr_files[@]}" -ne 1 ]]; then
+              echo "Expected exactly one ADR-${adr_number} file, found ${#adr_files[@]}" >&2
+              exit 1
+            fi
+            grep -q "^# ADR-${adr_number}:" "${adr_files[0]}"
+            grep -Eq '^[-*] \*\*Status\*\*: (Proposed|Accepted|Superseded|Deprecated)( |$|—)|^## Status' "${adr_files[0]}"
+          done
+
+          grep -q '^## Requirements' docs/adr/ADR-348-*.md
+          grep -q '^## Acceptance gates' docs/adr/ADR-348-*.md
+          grep -q '^## Requirements and acceptance' docs/adr/ADR-349-*.md
+          grep -q '^## Requirements and acceptance' docs/adr/ADR-350-*.md
+          for adr_number in 348 349 350; do
+            grep -q "| \[ADR-${adr_number}\](ADR-${adr_number}-" docs/adr/README.md \
+              || { echo "ADR-${adr_number} is missing from the ADR index" >&2; exit 1; }
+          done
+
+          for number in $(seq 1 12); do
+            requirement="$(printf 'RF-%03d' "$number")"
+            grep -q "| ${requirement} |" docs/validation/ruforecast-requirements-evidence.md \
+              || { echo "Missing evidence row for ${requirement}" >&2; exit 1; }
+          done
+          for number in $(seq 1 8); do
+            requirement="$(printf 'FT-%03d' "$number")"
+            grep -q "| ${requirement} |" docs/validation/ruforecast-requirements-evidence.md \
+              || { echo "Missing evidence row for ${requirement}" >&2; exit 1; }
+          done
+          for number in $(seq 1 9); do
+            requirement="$(printf 'PM-%03d' "$number")"
+            grep -q "| ${requirement} |" docs/validation/ruforecast-requirements-evidence.md \
+              || { echo "Missing evidence row for ${requirement}" >&2; exit 1; }
+          done
+
+          python3 - <<'PY'
+          from pathlib import Path
+          import tomllib
+
+          root = Path("v2/crates/ruforecast/crates")
+          core = tomllib.loads((root / "ruforecast-core/Cargo.toml").read_text())
+          model = tomllib.loads((root / "ruforecast-model/Cargo.toml").read_text())
+          train = tomllib.loads((root / "ruforecast-train/Cargo.toml").read_text())
+
+          assert core.get("features", {}).get("default", []) == []
+          assert model["features"]["default"] == [], "model defaults must stay backend-free"
+          assert train["features"]["default"] == [], "train defaults must stay backend-free"
+          assert {"model", "cpu", "cuda", "wgpu", "ruvector"} <= model["features"].keys()
+          assert {"cpu", "cuda", "training", "cli", "server", "fal-client"} <= train["features"].keys()
+          assert {"model", "dep:burn-ndarray"} <= set(model["features"]["cpu"])
+          assert {"model", "dep:burn-cuda"} <= set(model["features"]["cuda"])
+          assert {"model", "dep:burn-wgpu"} <= set(model["features"]["wgpu"])
+          assert "dep:ruvector-core" in model["features"]["ruvector"]
+          assert {"ruforecast-model/cpu", "training"} <= set(train["features"]["cpu"])
+          assert {"ruforecast-model/cuda", "training"} <= set(train["features"]["cuda"])
+
+          bins = {entry["name"]: entry for entry in train.get("bin", [])}
+          assert bins["ruforecast"]["required-features"] == ["cli"]
+
+          model_benches = {entry["name"]: entry for entry in model.get("bench", [])}
+          train_benches = {entry["name"]: entry for entry in train.get("bench", [])}
+          assert model_benches["forecast_inference"]["harness"] is False
+          assert model_benches["forecast_inference"]["required-features"] == ["cpu"]
+          assert train_benches["data_pipeline"]["harness"] is False
+          assert train_benches["data_pipeline"]["required-features"] == ["cpu"]
+          PY
+
+      - name: Check formatting for forecast packages only
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.89.0 fmt
+          -p ruforecast-core
+          -p ruforecast-model
+          -p ruforecast-train
+          -- --check
+
+      - name: Prove feature-off graph excludes Burn and CubeCL
+        working-directory: v2/crates/ruforecast
+        shell: bash
+        run: |
+          set -euo pipefail
+          : > forecast-feature-off-tree.txt
+          for package in ruforecast-core ruforecast-model ruforecast-train; do
+            cargo +1.89.0 tree --locked -e normal,build -p "$package" --no-default-features \
+              >> forecast-feature-off-tree.txt
+          done
+          if grep -Eiq '(^|[[:space:]])(burn|cubecl)(-|[[:space:]])' forecast-feature-off-tree.txt; then
+            echo 'Burn/CubeCL entered the Rust 1.89 feature-off dependency graph.' >&2
+            cat forecast-feature-off-tree.txt >&2
+            exit 1
+          fi
+
+      - name: Check feature-off packages
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.89.0 check --locked
+          -p ruforecast-core
+          -p ruforecast-model
+          -p ruforecast-train
+          --no-default-features --all-targets
+
+      - name: Test model-neutral core
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.89.0 test --locked
+          -p ruforecast-core
+          --no-default-features --lib --tests
+
+      - name: Test model contracts without a model backend
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.89.0 test --locked
+          -p ruforecast-model
+          --no-default-features --lib --tests
+
+      - name: Test RuVector retrieval boundary without a model backend
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.89.0 test --locked
+          -p ruforecast-model
+          --no-default-features --features ruvector --lib --tests
+
+      - name: Clippy RuVector retrieval boundary
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.89.0 clippy --locked
+          -p ruforecast-model
+          --no-default-features --features ruvector --all-targets -- -D warnings
+
+      - name: Clippy forecast packages without backend features
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.89.0 clippy --locked
+          -p ruforecast-core
+          -p ruforecast-model
+          -p ruforecast-train
+          --no-default-features --all-targets -- -D warnings
+
+      - name: Upload feature-off dependency tree
+        if: always()
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02
+        with:
+          name: ruforecast-feature-off-tree
+          path: v2/crates/ruforecast/forecast-feature-off-tree.txt
+          if-no-files-found: error
+
+  hosted-boundaries-rust-189:
+    name: Forecast hosted boundaries and privacy contract (Rust 1.89)
+    runs-on: ubuntu-latest
+    timeout-minutes: 45
+    steps:
+      - name: Checkout recursively
+        uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262
+        with:
+          persist-credentials: false
+          submodules: recursive
+
+      - name: Install Rust 1.89 with Clippy
+        uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4
+        with:
+          toolchain: 1.89.0
+          components: clippy
+
+      - name: Cache Cargo artifacts
+        uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32
+        with:
+          workspaces: v2/crates/ruforecast
+          key: ruforecast-hosted-rust-189
+
+      - name: Enforce clean-room source, secret, and hosted-wire boundary
+        shell: bash
+        run: |
+          set -euo pipefail
+          python3 - <<'PY'
+          from pathlib import Path
+          import re
+          import sys
+
+          roots = [
+              Path("v2/crates/ruforecast/crates/ruforecast-core"),
+              Path("v2/crates/ruforecast/crates/ruforecast-model"),
+              Path("v2/crates/ruforecast/crates/ruforecast-train"),
+          ]
+          text_suffixes = {".json", ".py", ".rs", ".sh", ".toml", ".yaml", ".yml"}
+          forbidden_source = re.compile(r"(?i)\b(?:times[ _-]?fm|google[ _/-]?research)\b")
+          secret_patterns = {
+              "private key": re.compile(r"-----BEGIN (?:RSA |EC |OPENSSH )?PRIVATE KEY-----"),
+              "AWS access key": re.compile(r"\bAKIA[0-9A-Z]{16}\b"),
+              "JWT": re.compile(r"\beyJ[A-Za-z0-9_-]{8,}\.[A-Za-z0-9_-]{8,}\.[A-Za-z0-9_-]{8,}\b"),
+              "presigned URL": re.compile(r"(?i)[?&](?:X-Amz-Signature|X-Goog-Signature)="),
+              "literal FAL_KEY": re.compile(r"(?i)\bFAL_KEY\b\s*[:=]\s*['\"][^'$<{\"\n]{8,}['\"]"),
+          }
+          forbidden_blobs = {".ckpt", ".mpk", ".npy", ".npz", ".onnx", ".pt", ".pth", ".safetensors"}
+
+          errors = []
+          for root in roots:
+              for path in root.rglob("*"):
+                  if not path.is_file() or "target" in path.parts:
+                      continue
+                  if path.suffix.lower() in forbidden_blobs:
+                      errors.append(f"forbidden checked-in model/data blob: {path}")
+                      continue
+                  if path.suffix.lower() not in text_suffixes:
+                      continue
+                  text = path.read_text(encoding="utf-8")
+                  if forbidden_source.search(text):
+                      errors.append(f"forbidden clean-room source/import reference: {path}")
+                  for label, pattern in secret_patterns.items():
+                      if pattern.search(text):
+                          errors.append(f"possible {label} in {path}")
+
+          fal_source = Path("v2/crates/ruforecast/crates/ruforecast-train/src/fal.rs").read_text()
+          for struct_name in ("HostedOptimizer", "HostedBudget", "HostedSyntheticPayload"):
+              match = re.search(
+                  rf"pub struct {struct_name}\s*\{{(?P<body>.*?)^\}}",
+                  fal_source,
+                  flags=re.MULTILINE | re.DOTALL,
+              )
+              if match is None:
+                  errors.append(f"missing hosted wire struct: {struct_name}")
+                  continue
+              body = match.group("body")
+              fields = re.findall(r"^\s*pub\s+([A-Za-z0-9_]+)\s*:", body, re.MULTILINE)
+              forbidden_fields = (
+                  "account", "data_policy", "dataset", "device", "identity", "path",
+                  "person", "room", "session", "site", "split", "subject", "tenant",
+                  "workspace",
+              )
+              for field in fields:
+                  lowered = field.lower()
+                  if any(fragment in lowered for fragment in forbidden_fields):
+                      errors.append(f"forbidden hosted field {struct_name}.{field}")
+                  if "bytes" in lowered and field not in {
+                      "max_artifact_bytes",
+                      "max_memory_bytes",
+                  }:
+                      errors.append(f"unapproved hosted byte field {struct_name}.{field}")
+              if "DataPolicy" in body:
+                  errors.append(f"DataPolicy entered hosted wire struct {struct_name}")
+
+          if errors:
+              print("\n".join(errors), file=sys.stderr)
+              raise SystemExit(1)
+          PY
+
+      - name: Enforce tracked-data policy
+        run: |
+          set -euo pipefail
+          bash scripts/csi-data-policy-check.sh --self-test
+          bash scripts/csi-data-policy-check.sh --tracked
+
+      - name: Validate minimal fal deployment archive policy
+        run: >-
+          python3
+          v2/crates/ruforecast/crates/ruforecast-train/deploy/fal/deploy.py
+          self-test
+
+      - name: Prove hosted feature graph excludes Burn and CubeCL
+        working-directory: v2/crates/ruforecast
+        shell: bash
+        run: |
+          set -euo pipefail
+          cargo +1.89.0 tree --locked -e normal,build \
+            -p ruforecast-train \
+            --no-default-features --features cli,server,fal-client \
+            > forecast-hosted-feature-tree.txt
+          if grep -Eiq '(^|[[:space:]])(burn|cubecl)(-|[[:space:]])' \
+            forecast-hosted-feature-tree.txt; then
+            echo 'Burn/CubeCL entered the Rust 1.89 hosted dependency graph.' >&2
+            cat forecast-hosted-feature-tree.txt >&2
+            exit 1
+          fi
+
+      - name: Require named hosted boundary regressions
+        working-directory: v2/crates/ruforecast
+        shell: bash
+        env:
+          FAL_KEY: ''
+        run: |
+          set -euo pipefail
+          cargo +1.89.0 test --locked \
+            -p ruforecast-train \
+            --no-default-features --features cli,server,fal-client \
+            --lib --bins --tests -- --list \
+            | tee hosted-boundary-tests.txt
+          for regression in \
+            fal_app_rejects_path_and_host_confusion \
+            fal_urls_require_exact_origin_path_and_no_query \
+            fal_submit_headers_disable_retry_and_omit_store_io \
+            hosted_payload_dto_has_no_customer_fields \
+            queue_status_discards_provider_error_body \
+            result_url_accepts_exact_response_suffix \
+            artifact_file_url_uses_expected_api_path \
+            fal_key_debug_is_redacted \
+            hosted_payload_rejects_app_field \
+            hosted_reservation_cannot_exceed_source_retention \
+            artifact_handoff_expiry_boundary_is_fail_closed \
+            fal_result_enforces_cumulative_artifact_budget_boundary \
+            fal_download_rejects_over_budget_without_writing \
+            direct_server_train_requires_request_id_header \
+            request_id_rejects_path_injection \
+            unknown_cancel_is_not_success \
+            privacy_external_dataset_payload_is_denied; do
+            grep -q "$regression" hosted-boundary-tests.txt \
+              || { echo "Missing hosted boundary regression: $regression" >&2; exit 1; }
+          done
+
+      - name: Exercise hosted external-data rejection
+        working-directory: v2/crates/ruforecast
+        env:
+          FAL_KEY: ''
+        run: >-
+          cargo +1.89.0 test --locked
+          -p ruforecast-train
+          --no-default-features --features cli,server,fal-client
+          privacy_external_dataset_payload_is_denied
+
+      - name: Test server and fal client with mock integrations
+        working-directory: v2/crates/ruforecast
+        env:
+          FAL_KEY: ''
+        run: >-
+          cargo +1.89.0 test --locked
+          -p ruforecast-train
+          --no-default-features --features cli,server,fal-client
+          --lib --bins --tests
+
+      - name: Clippy server and fal client boundaries
+        working-directory: v2/crates/ruforecast
+        env:
+          FAL_KEY: ''
+        run: >-
+          cargo +1.89.0 clippy --locked
+          -p ruforecast-train
+          --no-default-features --features cli,server,fal-client
+          --all-targets -- -D warnings
+
+      - name: Clippy standalone CLI feature boundary
+        working-directory: v2/crates/ruforecast
+        env:
+          FAL_KEY: ''
+        run: >-
+          cargo +1.89.0 clippy --locked
+          -p ruforecast-train
+          --no-default-features --features cli
+          --bin ruforecast -- -D warnings
+
+      - name: Upload hosted dependency tree
+        if: always()
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02
+        with:
+          name: ruforecast-hosted-feature-tree
+          path: v2/crates/ruforecast/forecast-hosted-feature-tree.txt
+          if-no-files-found: error
+
+  burn-cpu-rust-192:
+    name: Forecast Burn CPU tests and bench compile (Rust 1.92)
+    runs-on: ubuntu-latest
+    timeout-minutes: 90
+    steps:
+      - name: Checkout recursively
+        uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262
+        with:
+          persist-credentials: false
+          submodules: recursive
+
+      - name: Install Rust 1.92 with Clippy
+        uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4
+        with:
+          toolchain: 1.92.0
+          components: clippy
+
+      - name: Cache Cargo artifacts
+        uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32
+        with:
+          workspaces: v2/crates/ruforecast
+          key: ruforecast-rust-192-cpu
+
+      - name: Test model with Burn CPU backend
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.92.0 test --locked
+          -p ruforecast-model
+          --no-default-features --features cpu --lib --tests
+
+      - name: Test trainer and CLI with Burn CPU backend
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.92.0 test --locked
+          -p ruforecast-train
+          --no-default-features --features cpu,cli --lib --bins
+
+      - name: Run one-step local JSONL training smoke
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.92.0 test --locked
+          -p ruforecast-train
+          --no-default-features --features cpu
+          --test local_jsonl_smoke --
+          --exact local_hash_addressed_jsonl_executes_one_real_optimizer_step
+
+      - name: Run idempotent synthetic CLI training smoke
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.92.0 test --locked
+          -p ruforecast-train
+          --no-default-features --features cpu,cli
+          --test cli_smoke --
+          --exact cli_smoke_trains_and_writes_the_complete_candidate_set
+
+      - name: Test combined CPU and hosted feature surface
+        working-directory: v2/crates/ruforecast
+        env:
+          FAL_KEY: ''
+        run: >-
+          cargo +1.92.0 test --locked
+          -p ruforecast-train
+          --no-default-features --features cpu,cli,server,fal-client
+          --lib --bins
+
+      - name: Clippy model with Burn CPU backend
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.92.0 clippy --locked
+          -p ruforecast-model
+          --no-default-features --features cpu --all-targets -- -D warnings
+
+      - name: Clippy trainer and CLI with Burn CPU backend
+        working-directory: v2/crates/ruforecast
+        env:
+          FAL_KEY: ''
+        run: >-
+          cargo +1.92.0 clippy --locked
+          -p ruforecast-train
+          --no-default-features --features cpu,cli,server,fal-client
+          --all-targets -- -D warnings
+
+      - name: Compile forecast inference benchmark
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.92.0 bench --locked
+          -p ruforecast-model
+          --no-default-features --features cpu
+          --bench forecast_inference --no-run
+
+      - name: Compile forecast data-pipeline benchmark
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.92.0 bench --locked
+          -p ruforecast-train
+          --no-default-features --features cpu
+          --bench data_pipeline --no-run
+
+      - name: Run quick inference benchmark for trend visibility
+        continue-on-error: true
+        timeout-minutes: 15
+        working-directory: v2/crates/ruforecast
+        run: |
+          set -o pipefail
+          mkdir -p ../../bench-out/ruforecast
+          cargo +1.92.0 bench --locked \
+            -p ruforecast-model \
+            --no-default-features --features cpu \
+            --bench forecast_inference -- \
+            --warm-up-time 1 --measurement-time 2 --sample-size 10 \
+            | tee ../../bench-out/ruforecast/forecast-inference.txt
+
+      - name: Run quick data-pipeline benchmark for trend visibility
+        continue-on-error: true
+        timeout-minutes: 15
+        working-directory: v2/crates/ruforecast
+        run: |
+          set -o pipefail
+          mkdir -p ../../bench-out/ruforecast
+          cargo +1.92.0 bench --locked \
+            -p ruforecast-train \
+            --no-default-features --features cpu \
+            --bench data_pipeline -- \
+            --warm-up-time 1 --measurement-time 2 --sample-size 10 \
+            | tee ../../bench-out/ruforecast/data-pipeline.txt
+
+      - name: Upload informational benchmark logs
+        if: always()
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02
+        with:
+          name: ruforecast-informational-cpu-benchmarks
+          path: bench-out/ruforecast/
+          if-no-files-found: warn
+
+  burn-cuda-compile-rust-192:
+    name: Forecast Burn CUDA/WGPU compile checks only (Rust 1.92)
+    runs-on: ubuntu-latest
+    timeout-minutes: 60
+    steps:
+      - name: Checkout recursively
+        uses: actions/checkout@11d5960a326750d5838078e36cf38b85af677262
+        with:
+          persist-credentials: false
+          submodules: recursive
+
+      - name: Install Rust 1.92
+        uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4
+        with:
+          toolchain: 1.92.0
+
+      - name: Cache Cargo artifacts
+        uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32
+        with:
+          workspaces: v2/crates/ruforecast
+          key: ruforecast-rust-192-cuda-check
+
+      - name: Check model CUDA feature
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.92.0 check --locked
+          -p ruforecast-model
+          --no-default-features --features cuda --lib
+
+      - name: Check model WGPU feature
+        working-directory: v2/crates/ruforecast
+        run: >-
+          cargo +1.92.0 check --locked
+          -p ruforecast-model
+          --no-default-features --features wgpu --lib
+
+      - name: Check trainer CUDA and hosted-server feature combination
+        working-directory: v2/crates/ruforecast
+        env:
+          FAL_KEY: ''
+        run: >-
+          cargo +1.92.0 check --locked
+          -p ruforecast-train
+          --no-default-features --features cuda,cli,server
+          --lib --bins

.github/workflows/ruview-device-e2e.yml

@@ -0,0 +1,68 @@
+# ADR-373/374 — device-access end-to-end through the real @ruvnet/ruview CLI.
+# MR60BHA2 (60 GHz) and RPLIDAR are emulated on pseudo-terminals and read via
+# real pyserial; an ESP32 node is emulated over UDP; the iPhone LiDAR path
+# uses the repository's real relay. All results are SYNTHETIC: this proves
+# the transports and parsers, not hardware behaviour.
+
+name: ruview device e2e
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - 'harness/ruview/src/**'
+      - 'harness/ruview/bin/**'
+      - 'harness/ruview/test/e2e/**'
+      - 'integrations/iphone-lidar/web/**'
+      - '.github/workflows/ruview-device-e2e.yml'
+  pull_request:
+    paths:
+      - 'harness/ruview/src/**'
+      - 'harness/ruview/bin/**'
+      - 'harness/ruview/test/e2e/**'
+      - 'integrations/iphone-lidar/web/**'
+      - '.github/workflows/ruview-device-e2e.yml'
+
+permissions:
+  contents: read
+
+concurrency:
+  group: ruview-device-e2e-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  devices:
+    runs-on: ubuntu-latest
+    timeout-minutes: 15
+    steps:
+      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        with:
+          persist-credentials: false
+
+      - uses: actions/setup-node@820762786026740c76f36085b0efc47a31fe5020 # v7.0.0
+        with:
+          node-version: '22'
+
+      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1
+        with:
+          python-version: '3.12'
+
+      - name: Install pyserial
+        run: python -m pip install pyserial==3.5
+
+      - name: Install the iPhone LiDAR relay
+        working-directory: integrations/iphone-lidar/web
+        run: npm ci --ignore-scripts
+
+      - name: Install harness
+        working-directory: harness/ruview
+        run: npm ci --ignore-scripts
+
+      # Missing prerequisites fail instead of skipping (RUVIEW_E2E_REQUIRE).
+      # The suite links each emulator pty to /dev/ttyRUVIEWE2E<n> with
+      # `sudo -n`, because the harness refuses /dev/pts/* port names.
+      - name: Device e2e (SYNTHETIC devices)
+        working-directory: harness/ruview
+        env:
+          RUVIEW_E2E_REQUIRE: '1'
+        run: npm run test:e2e:devices

.github/workflows/ruview-harness-flywheel.yml

@@ -4,6 +4,12 @@ on:
   pull_request:
     paths:
       - 'harness/ruview/**'
+      - 'scripts/csi-udp-relay.py'
+      - 'scripts/esp32_jsonl_to_rvcsi.py'
+      - 'scripts/overnight-empty-capture.py'
+      - 'scripts/record-csi-udp.py'
+      - 'scripts/collect-training-data.py'
+      - 'scripts/align-ground-truth.js'
       - '.github/scripts/nightly-sota/**'
       - '.github/workflows/nightly-sota-agent.yml'
       - '.github/workflows/ruview-harness-flywheel.yml'
@@ -25,8 +31,12 @@ concurrency:
 
 jobs:
   verify:
-    name: Verify contributor harness
-    runs-on: ubuntu-latest
+    name: Verify contributor harness (${{ matrix.os }})
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, windows-latest]
     defaults:
       run:
         working-directory: harness/ruview
@@ -39,9 +49,13 @@ jobs:
           node-version: 22
           cache: npm
           cache-dependency-path: harness/ruview/package-lock.json
+      - uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1
+        with:
+          python-version: '3.11'
       - run: npm ci --ignore-scripts
       - run: npm audit --omit=optional
       - run: npm test
+      - run: npm run test:security
       - run: npm run brain:verify
       - run: npm run flywheel:plan
       - run: npm run flywheel:verify

.github/workflows/ruview-kernel-npm.yml

@@ -0,0 +1,132 @@
+# ADR-368 — @ruvnet/ruview-kernel: build the WASM and napi-rs transports from
+# source on every OS, run the Rust ABI tests, the package unit/security/e2e
+# tests with the native addon REQUIRED, the wasm↔napi parity check, artifact
+# verification, and the cross-package e2e through the @ruvnet/ruview
+# metaharness. No publish step: publication stays CI-only via the release
+# workflow and requires explicit maintainer approval (ADR-265).
+
+name: ruview-kernel npm
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - 'v2/crates/ruview-kernel/**'
+      - 'v2/crates/ruview-kernel-napi/**'
+      - 'v2/crates/wifi-densepose-vitals/**'
+      - 'harness/ruview-kernel/**'
+      - 'harness/ruview/src/kernel.js'
+      - 'harness/ruview/test/kernel.test.mjs'
+      - '.github/workflows/ruview-kernel-npm.yml'
+  pull_request:
+    paths:
+      - 'v2/crates/ruview-kernel/**'
+      - 'v2/crates/ruview-kernel-napi/**'
+      - 'v2/crates/wifi-densepose-vitals/**'
+      - 'harness/ruview-kernel/**'
+      - 'harness/ruview/src/kernel.js'
+      - 'harness/ruview/test/kernel.test.mjs'
+      - '.github/workflows/ruview-kernel-npm.yml'
+
+permissions:
+  contents: read
+
+concurrency:
+  group: ruview-kernel-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  kernel:
+    name: kernel (${{ matrix.os }})
+    runs-on: ${{ matrix.os }}
+    timeout-minutes: 45
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, macos-latest, windows-latest]
+    defaults:
+      run:
+        shell: bash
+    steps:
+      - uses: actions/checkout@3d3c42e5aac5ba805825da76410c181273ba90b1 # v7.0.1
+        with:
+          persist-credentials: false
+          # The v2 workspace lists submodule crates as members; cargo must be
+          # able to load every member manifest.
+          submodules: recursive
+
+      - name: Install Rust + wasm32 target
+        uses: dtolnay/rust-toolchain@4cda84d5c5c54efe2404f9d843567869ab1699d4
+        with:
+          targets: wasm32-unknown-unknown
+
+      # v2/rust-toolchain pins its own channel; the target must be installed
+      # for that toolchain, not only for the action's default `stable`.
+      - name: Add wasm32 target to the pinned v2 toolchain
+        working-directory: v2
+        run: rustup target add wasm32-unknown-unknown
+
+      - name: Cache cargo
+        uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32
+        with:
+          workspaces: |
+            v2 -> target
+            v2/crates/ruview-kernel-napi -> target
+
+      - uses: actions/setup-node@820762786026740c76f36085b0efc47a31fe5020 # v7.0.0
+        with:
+          node-version: '22'
+
+      - name: Rust ABI tests
+        run: cargo test --manifest-path v2/Cargo.toml -p ruview-kernel --locked
+
+      - name: Build WASM + napi-rs artifacts from source
+        working-directory: harness/ruview-kernel
+        run: npm run build
+
+      - name: Verify artifacts (checksums, zero WASM imports, ABI)
+        working-directory: harness/ruview-kernel
+        run: node scripts/verify-artifacts.mjs --require-wasm
+
+      - name: Package tests (napi required)
+        working-directory: harness/ruview-kernel
+        env:
+          RUVIEW_KERNEL_REQUIRE_NAPI: '1'
+        run: npm test
+
+      - name: Doctor, self-test, and wasm↔napi parity (SYNTHETIC)
+        working-directory: harness/ruview-kernel
+        run: |
+          node bin/cli.js doctor --strict-napi
+          node bin/cli.js selftest --backend wasm
+          node bin/cli.js selftest --backend napi
+          node bin/cli.js parity
+
+      - name: Pack
+        working-directory: harness/ruview-kernel
+        run: |
+          npm pack --dry-run
+          # Relative destination: Windows runner temp paths contain
+          # backslashes that bash globbing would mangle.
+          mkdir -p dist-pack
+          npm pack --pack-destination dist-pack
+
+      - name: Cross-package e2e through the @ruvnet/ruview metaharness
+        working-directory: harness/ruview
+        run: |
+          npm ci --ignore-scripts
+          npm install --no-save --ignore-scripts ../ruview-kernel/dist-pack/ruvnet-ruview-kernel-*.tgz
+          node --test test/kernel.test.mjs
+          node bin/cli.js kernel --backend auto
+
+      - name: Upload built artifacts
+        if: matrix.os == 'ubuntu-latest'
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
+        with:
+          name: ruview-kernel-linux-x64
+          path: |
+            harness/ruview-kernel/wasm/ruview_kernel.wasm
+            harness/ruview-kernel/wasm/SHA256SUMS
+            harness/ruview-kernel/native/*.node
+            harness/ruview-kernel/native/SHA256SUMS
+          retention-days: 14

.github/workflows/ruview-npm-release.yml

@@ -104,8 +104,10 @@ jobs:
         run: |
           set -euo pipefail
           case "${{ inputs.package }}" in
-            # ADR-283/325: brain + hosts + replay + guarded Spaces OAuth; no runtime deps.
-            harness/ruview) export UNPACKED_BUDGET=163840 ;;
+            # ADR-283/325/369-374: brain + hosts + replay + Spaces OAuth + SDK,
+            # flashing, training, doctor, device access, SSH hosts; ADR-375 console
+            # widget, HTTP transport, terminal UI; ADR-378 mod showcase; no runtime deps.
+            harness/ruview) export UNPACKED_BUDGET=458752 ;;
             # ADR-285: CLI + MCP + reviewed brain + WASM-kernel adapter.
             harness/homecore) export UNPACKED_BUDGET=180000 ;;
             # ADR-264 O2: map-free tarball (was 188 kB with maps).
@@ -140,12 +142,12 @@ jobs:
           npm i --no-fund --no-audit "$TGZ"
           case "${{ inputs.package }}" in
             harness/ruview)
-              ./node_modules/.bin/ruview --version
-              ./node_modules/.bin/ruview doctor
-              ./node_modules/.bin/ruview guidance --topic homecore --query restore --limit 1 \
+              ./node_modules/.bin/ruview-harness --version
+              ./node_modules/.bin/ruview-harness doctor
+              ./node_modules/.bin/ruview-harness guidance --topic homecore --query restore --limit 1 \
                 | grep -q '"homecore-runtime-restore"'
               # the honesty gate must fail closed on empty input (ADR-263 F1)
-              if ./node_modules/.bin/ruview claim-check; then
+              if ./node_modules/.bin/ruview-harness claim-check; then
                 echo 'claim-check passed with no input — fail-open regression'; exit 1
               fi
               node --input-type=module -e "const m = await import('@ruvnet/ruview'); if (!m.TOOLS) process.exit(1);"

.gitignore

@@ -17,11 +17,16 @@ firmware/esp32-csi-node/sdkconfig.defaults.bak
 firmware/esp32-hello-world/sdkconfig.old
 
 # Host-built firmware test binaries (compiled from test/*.c, not source)
-firmware/esp32-csi-node/test/test_adr110
-firmware/esp32-csi-node/test/test_vitals
-firmware/esp32-csi-node/test/fuzz_serialize
-firmware/esp32-csi-node/test/fuzz_edge
-firmware/esp32-csi-node/test/fuzz_nvs
+# Compiled host-test and fuzz binaries. The Makefile writes them beside their
+# sources, so they land in a tracked directory. Ignore them by SHAPE rather
+# than by name: every source here carries an extension and no binary does.
+#
+# This replaced a hand-maintained list of five targets, which had gone stale --
+# test_csi_sanitize, test_mmwave_detect and test_thermal were all built by
+# `make host_tests`, ignored by nothing, and got committed by accident.
+firmware/esp32-csi-node/test/test_*
+firmware/esp32-csi-node/test/fuzz_*
+!firmware/esp32-csi-node/test/*.*
 firmware/esp32-csi-node/test/*.exe
 firmware/esp32-csi-node/test/*.obj
 
@@ -311,3 +316,12 @@ v2/crates/wifi-densepose-sensing-server/data/
 # ADR-324: wasm-bindgen output for ruview-offaxis is generated locally
 # (see the crate README); never commit generated artifacts.
 v2/crates/ruview-offaxis/pkg/
+
+# fal.ai visual-teacher LoRA training data/weights -- regenerable, never
+# commit training images or model weights (ADR-353)
+scripts/fal-visual-teacher/training-data/
+scripts/fal-visual-teacher/training-data.zip
+scripts/fal-visual-teacher/output/
+
+# Trained adaptive classifier (auto-created at runtime; #2135)
+/v2/data/adaptive_model.json

.gitmodules

@@ -33,3 +33,7 @@
 	path = vendor/metaharness
 	url = https://github.com/ruvnet/metaharness
 	branch = main
+[submodule "v2/crates/ruforecast"]
+	path = v2/crates/ruforecast
+	url = https://github.com/ruvnet/RuForecast.git
+	branch = main

CHANGELOG.md

@@ -7,8 +7,29 @@ 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.

NOTICE

@@ -0,0 +1,22 @@
+RuView third-party notices
+
+This repository is licensed MIT OR Apache-2.0 (see LICENSE). The items below
+are vendored third-party material that keeps its own licence and is not
+covered by that dual licence.
+
+firmware/openwrt-wn586x3/patches/1001-mtk-mt76-mt7915-csi-implement-csi-support-REBASED.patch
+  What:     MediaTek's mt76 mt7915 CSI patch, rebased onto openwrt/mt76
+            eb567bc7 (the revision pinned by OpenWrt 24.10.8).
+  Author:   Bo Jiao <Bo.Jiao@mediatek.com> (original author line kept in the
+            patch header); copyright MediaTek Inc.
+  Origin:   mediatek/mtk-openwrt-feeds @ a15454c888f4f4144c50e33b5feef4f247c5f78b
+  Licence:  BSD-3-Clause-Clear (SPDX identifier,
+            https://spdx.org/licenses/BSD-3-Clause-Clear.html). The patch
+            carries the SPDX tags and MediaTek copyright lines in its added
+            files; the licence text is not reproduced here.
+  Scope:    A vendored patch applied to an OpenWrt/mt76 build. It is not part
+            of the Rust crates, is not compiled by the Cargo workspace, and is
+            not linked into any RuView binary.
+
+See firmware/openwrt-wn586x3/README.md for the other patches in that
+directory and the licence each one keeps.

README.md

@@ -2,7 +2,28 @@
 
 <p align="center">
   <a href="https://cognitum.one/seed">
-    <img src="assets/ruview-seed.png" alt="RuView - WiFi DensePose" width="100%">
+    <img src="assets/ruview-hero-h3-v3.gif" alt="RuView - WiFi DensePose — animated visualization of real-time pose estimation, breathing, and heart-rate sensing through WiFi" width="100%">
+  </a>
+</p>
+
+[![RuView: spaces become signals, with an animated conceptual RF field](assets/readme/hero-spatial-v4.svg)](docs/user-guide.md)
+
+<table>
+<tr>
+<td align="center" width="33%"><a href="docs/user-guide.md"><img src="assets/readme/nav-start-spatial-v4.svg" width="180" alt="Start here" /></a><br/><a href="docs/user-guide.md">Start here</a></td>
+<td align="center" width="33%"><a href="firmware/esp32-csi-node/README.md"><img src="assets/readme/nav-hardware-spatial-v4.svg" width="180" alt="Hardware" /></a><br/><a href="firmware/esp32-csi-node/README.md">Hardware</a></td>
+<td align="center" width="33%"><a href="https://huggingface.co/ruvnet/wifi-densepose-pretrained"><img src="assets/readme/nav-models-spatial-v4.svg" width="180" alt="Models" /></a><br/><a href="https://huggingface.co/ruvnet/wifi-densepose-pretrained">Models</a></td>
+</tr>
+<tr>
+<td align="center" width="33%"><a href="harness/ruview/README.md"><img src="assets/readme/nav-agents-spatial-v4.svg" width="180" alt="AI toolkit" /></a><br/><a href="harness/ruview/README.md">AI toolkit</a></td>
+<td align="center" width="33%"><a href="docs/integrations/home-assistant.md"><img src="assets/readme/nav-home-spatial-v4.svg" width="180" alt="Smart home" /></a><br/><a href="docs/integrations/home-assistant.md">Smart home</a></td>
+<td align="center" width="33%"><a href="https://cognitum.one/seed"><img src="assets/readme/nav-seed-spatial-v4.svg" width="180" alt="Cognitum Seed" /></a><br/><a href="https://cognitum.one/seed">Cognitum Seed</a></td>
+</tr>
+</table>
+
+<p align="center">
+  <a href="https://ruos.cognitum.one">
+    <img src="assets/ruos-animated.svg" alt="RuView — WiFi becomes spatial awareness, with Ruflo coordination and a ruOS sensing workspace" width="100%">
   </a>
 </p>
 
@@ -21,6 +42,8 @@ Works natively with the four major smart-home ecosystems: **[Home Assistant](doc
 
 Every WiFi router already fills your space with radio waves. When people move, breathe, or even sit still, they disturb those waves in measurable ways. RuView captures these disturbances using Channel State Information (CSI) from low-cost ESP32 sensors and turns them into actionable data: who's there, what they're doing, and whether they're okay.
 
+[![Explore RuView sensing, models and automation](assets/readme/header-features-spatial-v4.svg)](docs/user-guide.md)
+
 **What it senses:**
 - **Presence and occupancy** — detect people through walls, count them, track entries and exits
 - **Vital signs** — breathing rate and heart rate, contactless, while sleeping or sitting
@@ -37,32 +60,75 @@ Every WiFi router already fills your space with radio waves. When people move, b
 - **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
 
+<!-- ruview-capability-cards -->
+<table>
+<tr>
+<td width="50%"><a href="docs/user-guide.md"><img src="assets/readme/feature-presence-spatial-v4.svg" width="580" alt="Presence and motion: open documentation and current limitations" /></a><br/><a href="docs/user-guide.md">Presence and motion</a></td>
+<td width="50%"><a href="v2/crates/wifi-densepose-signal/README.md"><img src="assets/readme/feature-vitals-spatial-v4.svg" width="580" alt="Breathing and vital signals: open documentation and current limitations" /></a><br/><a href="v2/crates/wifi-densepose-signal/README.md">Breathing and vital signals</a></td>
+</tr>
+<tr>
+<td width="50%"><a href="docs/benchmarks/pose-estimation-cog.md"><img src="assets/readme/feature-pose-spatial-v4.svg" width="580" alt="Pose research and limitations: open documentation and current limitations" /></a><br/><a href="docs/benchmarks/pose-estimation-cog.md">Pose research and limitations</a></td>
+<td width="50%"><a href="firmware/esp32-csi-node/README.md"><img src="assets/readme/feature-edge-spatial-v4.svg" width="580" alt="Edge sensor mesh: open documentation and current limitations" /></a><br/><a href="firmware/esp32-csi-node/README.md">Edge sensor mesh</a></td>
+</tr>
+<tr>
+<td width="50%"><a href="docs/integrations/home-assistant.md"><img src="assets/readme/feature-automation-spatial-v4.svg" width="580" alt="Local automation: open documentation and current limitations" /></a><br/><a href="docs/integrations/home-assistant.md">Local automation</a></td>
+<td width="50%"><a href="harness/ruview/README.md"><img src="assets/readme/feature-agents-spatial-v4.svg" width="580" alt="Guided AI operator: open documentation and current limitations" /></a><br/><a href="harness/ruview/README.md">Guided AI operator</a></td>
+</tr>
+</table>
+
 <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, guarded Claude Code/Codex agents, deterministic verification, an honesty check for accuracy claims, and an explicitly granted OAuth-only Cognitum Spaces read.
+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
-npx @ruvnet/ruview@0.4.0 doctor
-npx @ruvnet/ruview@0.4.0 guidance --topic sensing --query "model loading"
+npx @ruvnet/ruview@0.9.1 doctor
+npx @ruvnet/ruview@0.9.1 guidance --topic sensing --query "model loading"
+
+# Hardware: what is plugged in, live CSI from your nodes, a 60 GHz radar kit
+npx @ruvnet/ruview@0.9.1 devices
+npx @ruvnet/ruview@0.9.1 esp32 --watch                       # ESP32 + Realtek RAC1 nodes, live view
+npx @ruvnet/ruview@0.9.1 esp32 --seconds 45 --analyze        # live CSI through the vitals kernel
+npx @ruvnet/ruview@0.9.1 mmwave --source esphome --host <kit-ip>
+
+# Agents: MCP over stdio, or over HTTP for ChatGPT (token-protected, read tools only)
+npx @ruvnet/ruview@0.9.1 mcp start
+RUVIEW_MCP_GRANTS=device-access npx @ruvnet/ruview@0.9.1 mcp start --http
+
+# Claude Code: a live sensing pane (/ruview), shipped in the package
+npx @ruvnet/ruview@0.9.1 mod
 
 # Run a read-only RuView agent through Codex
-npx @ruvnet/ruview@0.4.0 agent run --host codex --repo . \
+npx @ruvnet/ruview@0.9.1 agent run --host codex --repo . \
   --prompt "Find the nearest tests and cite the source files"
 
-# Search or verify the reviewed contributor brain
-npx @ruvnet/ruview@0.4.0 brain search --query "calibration"
-npx @ruvnet/ruview@0.4.0 brain verify --repo .
-
-# Check claims, replay the deterministic proof, or expose the MCP server
-npx @ruvnet/ruview@0.4.0 claim-check --file REPORT.md
-npx @ruvnet/ruview@0.4.0 verify
-npx @ruvnet/ruview@0.4.0 spaces
-npx @ruvnet/ruview@0.4.0 mcp start
+# Check claims, replay the deterministic proof, search the reviewed brain
+npx @ruvnet/ruview@0.9.1 claim-check --file REPORT.md
+npx @ruvnet/ruview@0.9.1 verify
+npx @ruvnet/ruview@0.9.1 brain search --query "calibration"
 ```
 
-Agent runs are read-only by default. Workspace writes require both `--allow-write` and `--confirm`; retrieved brain content is evidence, not authority.
+**Safety:**
+- 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>
 
@@ -100,8 +166,8 @@ RuView turns ordinary WiFi into a contactless sensor. A $9 ESP32 board reads the
 > | 🧱 **Through-wall sensing** | Fresnel-zone geometry + multipath modeling | Up to ~5 m, signal-dependent |
 > | 🧠 **Edge intelligence** | **105-cog catalog** ([ADR-102](docs/adr/ADR-102-edge-module-registry.md)) live from `app-registry.json` — health, security, building, retail, industrial, research, AI, swarm, signal, network, and developer modules. Optional Cognitum Seed adds persistent vector store + kNN + witness chain | $140 total BOM |
 > | 🎯 **Camera-free pre-training** | Self-supervised contrastive encoder, 12.2M training steps on 60K frames, shipped on Hugging Face | 84 s/epoch retrain on M4 Pro |
-> | 📷 **Camera-supervised fine-tune** | MediaPipe + ESP32 CSI paired training, end-to-end Candle pipeline on RTX 5080 ([ADR-079](docs/adr/ADR-079-camera-supervised-pose-finetune.md)) | 2.1 s for 400 epochs (~5 ms/epoch) |
-> | 📡 **Multi-frequency mesh** | Channel hopping across 6 bands, TDM slot scheduling ([ADR-029](docs/adr/ADR-029-multifrequency-mesh.md)) | 3× sensing bandwidth |
+> | 📷 **Camera-supervised fine-tune** | MediaPipe + ESP32 CSI paired training, end-to-end Candle pipeline on RTX 5080 ([ADR-079](docs/adr/ADR-079-camera-ground-truth-training.md)) | 2.1 s for 400 epochs (~5 ms/epoch) |
+> | 📡 **Multi-frequency mesh** | Channel hopping across 6 bands, TDM slot scheduling ([ADR-029](docs/adr/ADR-029-ruvsense-multistatic-sensing-mode.md)) | 3× sensing bandwidth |
 > | 🌐 **3D point cloud fusion** | Camera depth (MiDaS) + WiFi CSI + mmWave radar → unified spatial model | 22 ms pipeline · 19K+ points/frame |
 >
 > Browse the full 105-module catalog (with practical descriptions, sizes, and difficulty) below in [🧩 Edge Module Catalog](#-edge-module-catalog), or visit [seed.cognitum.one/store](https://seed.cognitum.one/store).
@@ -114,8 +180,11 @@ RuView turns ordinary WiFi into a contactless sensor. A $9 ESP32 board reads the
 ```bash
 # Option 1: Docker (simulated data, no hardware needed)
 docker pull ruvnet/wifi-densepose:latest
-docker run -p 3000:3000 ruvnet/wifi-densepose:latest
+export RUVIEW_API_TOKEN=$(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:
@@ -227,6 +296,8 @@ The separate **17-keypoint pose-estimation model** is now published at [`ruvnet/
 
 ### Results & proof
 
+[![RuView visual guide: header-evidence](assets/readme/header-evidence-spatial-v4.svg)](docs/benchmarks/pose-estimation-cog.md)
+
 See the measured benchmarks, witness records, and one-command reproducibility check.
 
 <details>
@@ -281,6 +352,8 @@ number. The path to a first *reproducible* on-device baseline (PCK@20 ≥ 35%) i
 
 ## 🧩 Edge Module Catalog
 
+[![RuView visual guide: header-edge](assets/readme/header-edge-spatial-v4.svg)](firmware/esp32-csi-node/README.md)
+
 Add signed modules for health, security, buildings, industry, research, AI, and more.
 
 <details>
@@ -455,6 +528,8 @@ Browse and install modules at [seed.cognitum.one/store](https://seed.cognitum.on
 
 ## 🔬 How It Works
 
+[![RuView visual guide: overview](assets/readme/overview-spatial-v4.svg)](docs/user-guide.md)
+
 WiFi routers flood every room with radio waves. When a person moves — or even breathes — those waves scatter differently. WiFi DensePose reads that scattering pattern and reconstructs what happened:
 
 ```
@@ -579,6 +654,8 @@ These scenarios exploit WiFi's ability to penetrate solid materials — concrete
 
 ## 🧠 Self-Learning WiFi AI
 
+[![RuView visual guide: header-learning](assets/readme/header-learning-spatial-v4.svg)](docs/user-guide.md)
+
 Learn compact room fingerprints from raw CSI and adapt the model to each environment.
 
 <details>
@@ -694,7 +771,13 @@ 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).
 
-For the portable RuView MetaHarness, use `npx @ruvnet/ruview@0.4.0`; the quick commands and fuller explanation are in the collapsed MetaHarness section near the top of this README and in [`harness/ruview/`](harness/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>
 
@@ -702,6 +785,8 @@ For the portable RuView MetaHarness, use `npx @ruvnet/ruview@0.4.0`; the quick c
 
 ## 📖 Documentation
 
+[![RuView visual guide: header-docs](assets/readme/header-docs-spatial-v4.svg)](docs/user-guide.md)
+
 Start with the user, build, and calibration guides; expand for the full reference map.
 
 <details>
@@ -719,6 +804,8 @@ Start with the user, build, and calibration guides; expand for the full referenc
 | [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 |
 | [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. |
@@ -741,6 +828,8 @@ Start with the user, build, and calibration guides; expand for the full referenc
 >
 > Contributions and bug reports welcome at [Issues](https://github.com/ruvnet/RuView/issues).
 
+[![Cognitum One: Ambient Intelligence at the edge of the physical world](assets/readme/cognitum-spatial-v4.svg)](https://cognitum.one)
+
 ## 📄 License
 
 MIT License — see [LICENSE](LICENSE) for details.

archive/v1/src/sensing/mac_wifi.swift

@@ -10,6 +10,39 @@ func main() {
         exit(1)
     }
 
+    // One connected-link RSSI sample for the Rust adapter. Keep the legacy
+    // no-argument 10 Hz stream below unchanged for Python callers.
+    if CommandLine.arguments.contains("--scan-once") {
+        guard interface.powerOn(),
+              let channel = interface.wlanChannel(),
+              interface.rssiValue() < 0 else {
+            fputs("WiFi is not connected\n", stderr)
+            exit(1)
+        }
+        let sample: [String: Any] = [
+            // Always the connected link. macOS redacts ssid/bssid without
+            // Location Services; rssi/noise/channel stay real, so mark the
+            // sample as the connected link for the Rust adapter.
+            "connected": true,
+            "ssid": interface.ssid() ?? "",
+            "bssid": interface.bssid() ?? "00:00:00:00:00:00",
+            "channel": channel.channelNumber,
+            "rssi": interface.rssiValue(),
+            "noise": interface.noiseMeasurement(),
+            "timestamp": Date().timeIntervalSince1970,
+            "tx_rate": interface.transmitRate()
+        ]
+        do {
+            let data = try JSONSerialization.data(withJSONObject: sample, options: [.sortedKeys])
+            FileHandle.standardOutput.write(data)
+            FileHandle.standardOutput.write(Data([0x0a]))
+        } catch {
+            fputs("Could not encode WiFi sample: \(error)\n", stderr)
+            exit(1)
+        }
+        return
+    }
+
     // Flush stdout automatically to prevent buffering issues with Python subprocess
     setbuf(stdout, nil)
 

assets/fal-visual-teacher-sample.json

@@ -0,0 +1,7 @@
+{
+  "endpoint": "fal-ai/flux-lora",
+  "lora_url": "https://v3b.fal.media/files/b/0aa8c60d/OjaBs6Gi8pMhZqMo79iym_pytorch_lora_weights.safetensors",
+  "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",
+  "scale": 1.0,
+  "source_image_url": "https://v3b.fal.media/files/b/0aa8cf67/JH1qyC3GCKQ9ojkrAUXe9.png"
+}

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assets/readme/cognitum-spatial-v4.svg

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assets/readme/feature-vitals-spatial-v4.svg

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assets/readme/header-edge-spatial-v3.svg

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assets/readme/header-edge-spatial-v4.svg

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assets/readme/header-edge.svg

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+@keyframes float{0%,100%{transform:translate(0,0)}50%{transform:translate(3px,-10px)}}
+@keyframes scan{0%,100%{transform:translateY(0)}50%{transform:translateY(-76px)}}
+@keyframes orbit{to{transform:rotate(360deg)}}
+@keyframes spark{50%{opacity:.25}}
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assets/readme/header-evidence-spatial-v4.svg

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assets/readme/nav-home-spatial-v3.svg

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+@keyframes scan{0%,100%{transform:translateY(0)}50%{transform:translateY(-76px)}}
+@keyframes orbit{to{transform:rotate(360deg)}}
+@keyframes spark{50%{opacity:.25}}
+@keyframes flow{to{stroke-dashoffset:-136}}
+@keyframes breathe{50%{opacity:.4}}
+@keyframes trace{0%,100%{stroke-dashoffset:0}50%{stroke-dashoffset:90}}
+@keyframes wave{0%{transform:scale(.5);opacity:.7}100%{transform:scale(1.3);opacity:0}}
+@media(prefers-reduced-motion:reduce){*{animation:none!important}}
+</style><rect x=".5" y=".5" width="179" height="115" rx="18" fill="url(#wash)" stroke="#2d4e77"/><g transform="translate(90 45) scale(0.65)"><ellipse cx="0" cy="48" rx="43" ry="12" fill="#142c50" opacity=".5"/><path d="M-43 48L0 27L43 48L0 69Z" fill="none" stroke="#2e527d" stroke-width="1" stroke-linecap="round" stroke-linejoin="round" /><g class="float"><path d="M-37 -3L0 -34L37 -3M-28 -10V32H28V-10M-9 32V8H9V32" fill="none" stroke="#78cfff" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" /><circle cx="0" cy="-9" r="5" stroke="#438fff" fill="none" class="breathe"/></g></g><text x="90" y="98" font-size="16" fill="#f3f7ff" text-anchor="middle" font-weight="500" >Smart home</text></svg>

assets/readme/nav-home-spatial-v4.svg

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+
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+
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+
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+
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assets/readme/nav-home.svg

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+@keyframes float{0%,100%{transform:translate(0,0)}50%{transform:translate(3px,-10px)}}
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+@keyframes orbit{to{transform:rotate(360deg)}}
+@keyframes spark{50%{opacity:.25}}
+@keyframes flow{to{stroke-dashoffset:-136}}
+@keyframes breathe{50%{opacity:.4}}
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assets/readme/nav-models-spatial-v3.svg

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+@keyframes float{0%,100%{transform:translate(0,0)}50%{transform:translate(3px,-10px)}}
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assets/readme/nav-models-spatial-v4.svg

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assets/readme/nav-models.svg

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+@keyframes float{0%,100%{transform:translate(0,0)}50%{transform:translate(3px,-10px)}}
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+@keyframes orbit{to{transform:rotate(360deg)}}
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assets/readme/nav-seed-spatial-v3.svg

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assets/readme/nav-seed-spatial-v4.svg

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+<g class="scene network all"><text x="480" y="107" text-anchor="middle" font-size="30" letter-spacing="-.7">From radio signals to useful actions.</text>
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/><text x="155" y="352" font-sizeLine truncated
+<g class="scene work all"><g><text x="480" y="92" text-anchor="middle" font-size="28" letter-spacing="-.6">A sensing workspace, powered by RuView.</text>
+<rect x="58" y="113" width="844" height="331" rx="12" fill="#090c12" stroke="#6a5931" />
+<path d="M70 144H890" stroke="#292b31" /><circle cx="76" cy="129" r="3" fill="#dcbf65" /><circle cx="87" cy="129" r="3" fill="#5b5c64" /><circle cx="98" cy="129" r="3" fill="#5b5c64" /><text x="480" y="133" text-anchor="middle" class="mono muted" font-size="9">ruOS / Desktops / ruview-workspace</text>
+<rect x="59" y="145" width="125" height="287" fill="#0c0e13" />
+<use href="#crown" transform="translate(72 158) scale(.4)" /><text x="91" y="170" font-size="15" font-weight="700">ruOS</text>
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+<text x="882" y="167" text-anchor="end" font-size="8" class="mono gold">SYNTHETIC DEMO</text>
+<rect x="197" y="183" width="469" height="244" rx="7" fill="#14131a" stroke="#32313d" /><path d="M197 373Q370 180 666 285M197 330Q440 390 666 210" fill="none" stroke="#b49548" opacity=".18" />
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+<rect x="209" y="195" width="308" height="24" rx="7" fill="#262a33" /><text x="221" y="211" font-size="8" class="mono muted">RuView / Room overview</text><circle cx="503" cy="207" r="2" fill="#e3c477" />
+<text x="225" y="241" font-size="13" font-weight="700">Room activity</text><text x="225" y="257" font-size="9" class="muted">Synthetic scene · Presence and motion</text>
+<rect x="224" y="329" width="83" height="16" rx="4" fill="#4a3d22" /><text x="233" y="340" font-size="8" class="gold">Sensor connected</text><g><path d="M229 270H494V318H229zM390 270v18m0 12v18" fill="#121921" stroke="#727781" stroke-width="1.5" /><path d="M235 278h34v15h-34zM464 280h22v24h-22z" fill="#303843" stroke="#707786" /><circle cx="285" cy="300" r="4" fill="#f0cd70" /><circle cx="285" cy="300" r="16" fill="none" stroke="#d8b353" opacity=".4" /><circle cx="326" cy="287" r="5" fill="#b7cbd0" /><path d="M326 293v12m-7-8h14m-7 8-5 8m5-8 5 8" fill="none" stroke="#b7cbd0" stroke-width="2" /><path d="M292 290Q310 273 326 287M294 306Q312 312 326 302" fill="none" stroke="#e1bd5f" stroke-dasharray="3 5" class="stream" /></g></g>
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+<text x="380" y="324" font-size="9" class="mono gold">› Room event received</text><g class="terminalText all"><text x="380" y="343" font-size="9" class="mono muted">✓ Presence detected (demo)</text><text x="380" y="358" font-size="9" class="mono muted">✓ Rule checked</text></g><text x="380" y="384" font-size="10" class="mono gold done all">✓ Action ready for review</text></g>
+<rect x="680" y="183" width="207" height="244" rx="7" fill="#12151d" stroke="#33333c" /><text x="695" y="204" font-size="12" font-weight="700">Ruflo agent team</text><path d="M694 216h178" stroke="#34323a" />
+<circle cx="699" cy="235" r="5" fill="#272317" stroke="#be9f54" /><text x="713" y="239" font-size="11">Sense</text><text x="713" y="254" font-size="8" class="muted">Read room events from RuView</text><circle cx="699" cy="288" r="5" fill="#272317" stroke="#be9f54" /><text x="713" y="292" font-size="11">Evaluate</text><text x="713" y="307" font-size="8" class="muted">Check the configured rule</text><circle cx="699" cy="341" r="5" fill="#272317" stroke="#be9f54" /><text x="713" y="345" font-size="11">Act</text><text x="713" y="360" font-size="8" class="muted">Request an approved action</text><g class="done all"><rect x="693" y="381" width="181" height="29" rx="5" fill="#332b1b" stroke="#89713b" /><text x="784" y="400" text-anchor="middle" font-size="10" class="gold">✓ Room event processed</text></g>
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+<text x="480" y="469" text-anchor="middle" class="gold" font-size="14">Example: room activity → rule check → action review.</text></g></g><g class="scene end all"><ellipse cx="810" cy="290" rx="260" ry="240" fill="url(#aura)" />
+<text x="66" y="133" class="mono gold" font-size="11" letter-spacing="3">RUVIEW PERCEPTION. RUFLO COORDINATION.</text>
+<g clip-path="url(#line1)"><text class="headline1 all" x="61" y="233" font-size="72" font-weight="700" letter-spacing="-3">WiFi becomes</text></g>
+<g clip-path="url(#line2)"><text class="headline2 all" x="61" y="322" font-size="72" font-weight="700" letter-spacing="-3">spatial awareness<tspan class="gold">.</tspan></text></g>
+<path d="M66 382H894" stroke="#3b3528" /><text x="66" y="420" class="mono gold" font-size="17">ruos.cognitum.one</text><text x="892" y="420" text-anchor="end" font-size="10" class="mono muted" letter-spacing="2">BY COGNITUM</text><g><path class="underline all" d="M66 350h310" stroke="url(#gold)" stroke-width="2" /></g></g>
+<path d="M40 490H920" stroke="#26242a" /><text x="40" y="513" class="mono muted" font-size="9" letter-spacing="1.5">RUVIEW + RUFLO + RUOS</text><circle cx="853" cy="509" r="2.5" fill="#dfbf67" /><text x="866" y="512" class="mono gold" font-size="9">READY</text><g><g class="signal all"><circle r="45" fill="url(#aura)" class="signal-glow" /><circle r="10" fill="#ebc65d" opacity=".5" filter="url(#bloom)" /><circle r="4.5" fill="#ffe5a1" /><circle r="8" fill="none" stroke="#e9c56c" opacity=".3" /></g></g></g></svg>

docker/docker-compose.yml

@@ -37,6 +37,31 @@ services:
       #   volumes: ["/path/to/models:/app/models"]
       #   MODELS_DIR=/app/models
       - MODELS_DIR=${MODELS_DIR:-data/models}
+      # Auth (issue #864). The entrypoint refuses to start (exit 64) unless
+      # RUVIEW_API_TOKEN is set. Export it before `docker compose up`:
+      #   export RUVIEW_API_TOKEN=$(openssl rand -hex 32)
+      # Bare names pass the host value through only when it is set.
+      - RUVIEW_API_TOKEN
+      # ESP32 UDP ingest (ADR-296, issue #2089). The UDP receiver defaults to
+      # 127.0.0.1, which cannot receive from the published 5005/udp port.
+      # Set ONE source guard and the entrypoint binds 0.0.0.0:
+      #   RUVIEW_UDP_ALLOW=<node-ip-or-cidr>  restrict sources (preferred)
+      #   RUVIEW_UDP_INSECURE_LAN=true        accept the spoofing risk
+      # Docker Desktop and OrbStack on macOS rewrite the source address to the
+      # bridge gateway, so a LAN-subnet allowlist drops every frame. There,
+      # allow the gateway instead:
+      #   docker network inspect <project>_default \
+      #     --format '{{(index .IPAM.Config 0).Gateway}}'
+      #   RUVIEW_UDP_ALLOW=<gateway>/32
+      # The gateway admits anything that reaches the published port, so keep
+      # 5005/udp off untrusted networks.
+      - RUVIEW_UDP_ALLOW
+      - RUVIEW_UDP_INSECURE_LAN
+      - RUVIEW_UDP_BIND
+      # Browsing the UI from another machine also needs the host name or IP
+      # in SENSING_ALLOWED_HOSTS (otherwise 421), and the TCP ports above
+      # published beyond 127.0.0.1.
+      - SENSING_ALLOWED_HOSTS
     security_opt:
       - no-new-privileges:true
     cap_drop:

docker/docker-entrypoint.sh

@@ -22,6 +22,10 @@
 #                  Default is `auto`. Set CSI_SOURCE=simulated when you want
 #                  fake data tagged as such; never set it implicitly.
 #   MODELS_DIR   — directory to scan for .rvf model files (default: data/models)
+#   RUVIEW_UDP_ALLOW / RUVIEW_UDP_INSECURE_LAN — ADR-296 UDP source guard.
+#                  Setting either makes the entrypoint bind UDP on 0.0.0.0 so
+#                  ESP32 frames on the published 5005/udp port can arrive.
+#   RUVIEW_UDP_BIND — explicit UDP bind; overrides the choice above.
 set -e
 
 # ── Issue #864: fail-closed on default posture ───────────────────────────────
@@ -34,8 +38,8 @@ set -e
 #
 # Escape hatches (operator must opt in explicitly):
 #   * Set RUVIEW_API_TOKEN to a strong secret → auth enabled on /api/v1/*.
-#   * Set RUVIEW_ALLOW_UNAUTHENTICATED=1 → preserves the pre-fix behaviour;
-#     only safe on an isolated trust boundary.
+#   * Set RUVIEW_ALLOW_UNAUTHENTICATED=1 (or true/yes/on, any case) →
+#     preserves the pre-fix behaviour; only safe on an isolated trust boundary.
 #   * Set RUVIEW_BIND_ADDR to a loopback / private interface → unauth is fine
 #     when the socket isn't reachable. The auto-bind nudges toward 127.0.0.1.
 #
@@ -45,7 +49,12 @@ set -e
 case "${1:-}" in
     cog-ha-matter|ha-matter|homecore|homecore-server) ;;
     *)
-        if [ -z "${RUVIEW_API_TOKEN:-}" ] && [ "${RUVIEW_ALLOW_UNAUTHENTICATED:-}" != "1" ]; then
+        # Same spellings the sensing-server accepts for its boolean env flags.
+        case "${RUVIEW_ALLOW_UNAUTHENTICATED:-}" in
+            1|[Tt][Rr][Uu][Ee]|[Yy][Ee][Ss]|[Oo][Nn]) __allow_unauth=1 ;;
+            *) __allow_unauth=0 ;;
+        esac
+        if [ -z "${RUVIEW_API_TOKEN:-}" ] && [ "$__allow_unauth" != "1" ]; then
             # If the operator hasn't overridden the bind, refuse outright on
             # the default 0.0.0.0. If they've nailed it to loopback (or a
             # specific private address they trust), let it run.
@@ -97,6 +106,50 @@ esac
 # server binary so users can just pass flags:
 #   docker run <image> --source esp32 --tick-ms 500
 if [ "${1#-}" != "$1" ] || [ -z "$1" ]; then
+    # ── Issue #2089: UDP CSI ingest posture inside a container ───────────────
+    # ADR-296 defaults the UDP receiver to 127.0.0.1. Inside a container that
+    # bind can never receive from a published port, so no node ever appears.
+    # We bind 0.0.0.0 only when the operator has configured an ADR-296 guard
+    # (RUVIEW_UDP_ALLOW or RUVIEW_UDP_INSECURE_LAN); without one the server
+    # would refuse a routable bind, so we keep loopback and say why instead.
+    # An explicit RUVIEW_UDP_BIND or --udp-bind always wins.
+    # The binary parses RUVIEW_UDP_INSECURE_LAN itself (1/yes/on/true, any
+    # case); here we only need to know whether it is truthy to pick the bind.
+    __insecure_lan=0
+    case "$(printf '%s' "${RUVIEW_UDP_INSECURE_LAN:-}" | tr 'A-Z' 'a-z')" in
+        1|true|yes|on) __insecure_lan=1 ;;
+    esac
+    __udp_bind_arg=0
+    __udp_guard_arg=0
+    for __arg in "$@"; do
+        case "$__arg" in
+            --udp-bind|--udp-bind=*) __udp_bind_arg=1 ;;
+            --udp-allow|--udp-allow=*|--udp-insecure-lan) __udp_guard_arg=1 ;;
+        esac
+    done
+    if [ -z "${RUVIEW_UDP_BIND:-}" ] && [ "$__udp_bind_arg" = 0 ]; then
+        if [ -n "${RUVIEW_UDP_ALLOW:-}" ] || [ "$__insecure_lan" = 1 ] \
+            || [ "$__udp_guard_arg" = 1 ]; then
+            export RUVIEW_UDP_BIND=0.0.0.0
+            echo "[entrypoint] UDP CSI receiver: binding 0.0.0.0 inside the container" >&2
+            echo "[entrypoint]   (a source guard is set: RUVIEW_UDP_ALLOW or RUVIEW_UDP_INSECURE_LAN)." >&2
+        else
+            case "${CSI_SOURCE:-auto}" in
+                simulated|simulate) ;;
+                *)
+                    echo "[entrypoint] NOTE: UDP CSI receiver stays on 127.0.0.1 (ADR-296 default)." >&2
+                    echo "[entrypoint]   Inside a container that bind cannot receive ESP32 frames from" >&2
+                    echo "[entrypoint]   a published 5005/udp port, so no node will appear. To ingest:" >&2
+                    echo "[entrypoint]     -e RUVIEW_UDP_ALLOW=<node-ip-or-cidr>   (restrict sources), or" >&2
+                    echo "[entrypoint]     -e RUVIEW_UDP_INSECURE_LAN=true         (accept spoofing risk)" >&2
+                    echo "[entrypoint]   Docker Desktop/OrbStack on macOS rewrite the source to the bridge" >&2
+                    echo "[entrypoint]   gateway, so the allowlist must name <gateway>/32, not the LAN subnet." >&2
+                    echo "[entrypoint]   See https://github.com/ruvnet/RuView/issues/2089" >&2
+                    ;;
+            esac
+        fi
+    fi
+
     set -- /app/sensing-server \
         --source "${CSI_SOURCE:-auto}" \
         --tick-ms 100 \

docs/TROUBLESHOOTING.md

@@ -6,7 +6,9 @@ Known issues and fixes from the rebase-to-upstream branch (upstream #301).
 
 ## 1. Node not appearing in /api/v1/nodes
 
-**Symptom:** ESP32-S3 node associates with WiFi, LED blinks, but no CSI frames arrive at the server. Node missing from `/api/v1/spatial/nodes`.
+**Symptom:** ESP32-S3 node associates with WiFi, LED blinks, but no CSI frames arrive at the server. Node missing from `/api/v1/nodes`.
+
+**Check the server first:** the UDP receiver listens on `127.0.0.1` by default (ADR-296), so a natively run `sensing-server` never hears nodes on your network unless it was started with `--udp-bind 0.0.0.0 --udp-allow <node-ip-or-cidr>` (or `--udp-insecure-lan`). The startup log line for the UDP receiver says `loopback-only` when this is the problem. For Docker, see "Receiving ESP32 frames in Docker" in the [user guide](user-guide.md).
 
 **Root cause:** After USB flash, the node enters a limping state where WiFi associates but the UDP CSI sender silently fails. The SoftAP + mDNS stack initializes but the CSI callback never fires.
 
@@ -145,18 +147,18 @@ ESP32 nodes still target the host on `--target-ip <host>:5005` — no firmware r
 
 **Symptom:** `sensing-server` starts cleanly, logs `HTTP server listening on http://localhost:3000`, but loading `http://localhost:3000/` (or `/ui/index.html`) returns `404 Not Found`. Reported in #188.
 
-**Root cause:** The default `--ui-path ../../ui` is resolved relative to the binary's *current working directory*, not the binary location. When the binary is launched from anywhere other than `crates/wifi-densepose-sensing-server/`, the relative path doesn't reach the UI assets and Axum's static file handler returns 404.
+**Root cause:** The default `--ui-path ../ui` is resolved relative to the *current working directory*, not the binary location. If it doesn't exist the server also tries `./ui` and `../../ui`. Launching from `v2/` works; from anywhere else (including `v2/crates/wifi-densepose-sensing-server/`) those paths miss the repo's UI, or hit some other `ui` directory, and Axum's static file handler returns 404.
 
-**Fix:** Pass an absolute UI path, run the binary from the crate directory, or use the Docker image (which bundles the UI under `/app/ui`).
+**Fix:** Pass an absolute UI path, run the binary from `v2/`, or use the Docker image (which bundles the UI under `/app/ui`).
 
 ```bash
 # Option A — absolute path (recommended for production)
 sensing-server --source esp32 --udp-port 5005 --http-port 3000 \
   --ws-port 3001 --ui-path /absolute/path/to/ui
 
-# Option B — run from the crate dir (works for local dev / cargo run)
-cd v2/crates/wifi-densepose-sensing-server
-cargo run -- --source esp32
+# Option B — run from v2/ (works for local dev / cargo run)
+cd v2
+cargo run -p wifi-densepose-sensing-server -- --source esp32
 
 # Option C — Docker (no path config needed)
 docker compose -f docker/docker-compose.yml up sensing-server

docs/adr/ADR-025-macos-corewlan-wifi-sensing.md

@@ -4,6 +4,7 @@
 |-------|-------|
 | **Status** | Proposed |
 | **Date** | 2026-03-01 |
+| **Updated** | 2026-10-01: macOS 27 also redacts SSID without Location Services; the connected link is kept with a synthetic id, and `auto`+wifi keeps UDP bound (see Amendment 1) |
 | **Deciders** | ruv |
 | **Codename** | **ORCA** — OS-native Radio Channel Acquisition |
 | **Relates to** | ADR-013 (Feature-Level Sensing Commodity Gear), ADR-022 (Windows WiFi Enhanced Fidelity), ADR-014 (SOTA Signal Processing), ADR-018 (ESP32 Dev Implementation) |
@@ -313,3 +314,22 @@ All verification on Mac Mini (M2 Pro, macOS 26.3).
 - ADR-022: Windows WiFi Enhanced Fidelity (analogous platform adapter)
 - ADR-013: Feature-Level Sensing from Commodity Gear
 - Issue [#56](https://github.com/ruvnet/wifi-densepose/issues/56): macOS support request
+
+---
+
+## Amendment 1 (2026-10-01): SSID is also redacted; keep the connected link
+
+**Observed on macOS 27 (M-series Mac, CoreWLAN, unsigned CLI helper).** Without Location Services, `mac_wifi --scan-once` returns `"ssid":""` and `"bssid":"00:00:00:00:00:00"`, while `rssi`, `noise`, `channel` and `tx_rate` are real. The §1 assumption that "SSID + RSSI + channel" survive no longer holds. An unsigned CLI helper never calls `CLLocationManager`, so it never appears in Location Services and cannot be granted access.
+
+Before this amendment, `resolve_bssid` abstained when both identities were blank (to avoid merging unrelated networks), so every macOS scan was dropped and `--source wifi` produced nothing, with no error.
+
+**Change.**
+1. `--scan-once` marks its single sample `"connected": true`. It is always the one connected link, so it cannot collide with another network.
+2. A redacted sample marked `connected` gets a stable, locally administered synthetic BSSID derived from a reserved key plus the channel. The SSID stays empty; none is invented. Unmarked redacted lines still abstain.
+3. `--source auto` that resolves to host WiFi now also binds the UDP receiver, and `wifi_task` yields while the source is a live `esp32`. ESP32 nodes that start after the 2 s boot probe still promote the source, matching the #1004 rule for the simulator.
+4. A missing helper logs one clear error with the build command instead of a warning on every tick.
+
+**Measured (2026-10-01, this change):** `--source wifi` → source `wifi:unnamed`, sensing ticks advance. `--source auto` on a quiet port → `wifi` with `udp_receiver=true`; relaying real ADR-018 frames promoted the source to `esp32`, with all 5 nodes listed.
+
+**Still open:** real BSSID/SSID would need a signed `.app` helper with `NSLocationWhenInUseUsageDescription` that requests authorization. The helper still lives under `archive/v1` with no build step.
+

docs/adr/ADR-029-ruvsense-multistatic-sensing-mode.md

@@ -4,6 +4,7 @@
 |-------|-------|
 | **Status** | Proposed |
 | **Date** | 2026-03-02 |
+| **Updated** | 2026-10-04 — multistatic fusion combines phase across nodes only when every frame declares the same shared phase reference; independent ESP32 nodes and the amplitude-only server bridge fuse amplitude only and report the reason (`phase_fusion` in `/health/ready`, issue #1752). |
 | **Deciders** | ruv |
 | **Codename** | **RuvSense** -- RuVector-Enhanced Sensing for Multistatic Fidelity |
 | **Relates to** | ADR-012 (ESP32 Mesh), ADR-014 (SOTA Signal Processing), ADR-016 (RuVector Training), ADR-017 (RuVector Signal+MAT), ADR-018 (ESP32 Implementation), ADR-024 (AETHER Embeddings), ADR-026 (Survivor Track Lifecycle), ADR-027 (MERIDIAN Generalization) |

docs/adr/ADR-115-home-assistant-integration.md

@@ -3,7 +3,7 @@
 | Field | Value |
 |-------|-------|
 | **Status** | **Accepted** (MQTT track P1–P7 + P8a + P9 + P10 shipped 2026-05-23 in PR #778, 410 lib tests, witness bundle VERIFIED) / **Proposed** (Matter SDK wiring P8b deferred to v0.7.1 per §9.10) |
-| **Date** | 2026-05-23 |
+| **Date** | 2026-05-23 (amended 2026-10-02: P4.5 status note, §11) |
 | **Deciders** | ruv |
 | **Codename** | **HA-DISCO** (MQTT) + **HA-FABRIC** (Matter) + **HA-MIND** (semantic primitives) |
 | **Relates to** | ADR-018 (CSI binary frame format), ADR-021 (ESP32 vitals), ADR-031 (RuView sensing-first), ADR-039 (edge vitals packet 0xC511_0002), ADR-079 (camera ground-truth), ADR-103 (cog-person-count), ADR-110 (ESP32-C6 firmware), ADR-114 (cog-quantum-vitals) |
@@ -440,7 +440,7 @@ This means: **adding a new primitive is one file change**. No MQTT schema rev, n
 | **P2** | HA discovery message emitter. New module `mqtt_discovery.rs`. Emits all entity `config` topics on connect + every `--mqtt-refresh-secs`. Schema-validated against HA's published JSON schema. | pending |
 | **P3** | State publication. Subscribe to internal `tokio::broadcast` channel (the one `tx.send(json)` writes to on line 3983 of `main.rs`). Translate `edge_vitals` / `sensing_update` / `pose_data` messages into per-entity state payloads. Apply rate-limit + privacy-mode filters. | pending |
 | **P4** | Integration tests: dockerised mosquitto in CI (extend `.github/workflows/firmware-qemu.yml` pattern), schema-validate every emitted config against HA's `homeassistant/components/mqtt` JSON schemas (pin to a tested HA version). Add a smoke test that brings up sensing-server in `--source mock --mqtt`, subscribes with `paho-mqtt` test client, asserts on entity creation. | pending |
-| **P4.5** | **Semantic inference layer (HA-MIND).** New module `semantic_inference.rs` implementing the 10 v1 primitives from §3.12. Output broadcast channel consumed by both MQTT publisher (P3) and Matter bridge (P8). Per-primitive precision/recall baselines published to `docs/integrations/semantic-primitives-metrics.md`. Unit tests per FSM + integration tests via replay of ADR-079 paired captures. | pending |
+| **P4.5** | **Semantic inference layer (HA-MIND).** New module `semantic_inference.rs` implementing the 10 v1 primitives from §3.12. Output broadcast channel consumed by both MQTT publisher (P3) and Matter bridge (P8). Per-primitive precision/recall baselines published to `docs/integrations/semantic-primitives-metrics.md`. Unit tests per FSM + integration tests via replay of ADR-079 paired captures. | partial — 6 of 10 primitives on the live MQTT publisher; see §11 |
 | **P5** | Docs: new `docs/integrations/home-assistant.md` with screenshots of the HA UI after auto-discovery completes, example HA dashboard YAML (Lovelace card configs), 8 starter blueprints from §3.12.2 (distress notify, wake routine, hallway dim, elderly anomaly alert, meeting lights, bathroom fan, fall-risk escalate, auto-arm security), and the raw-channel example automations: "turn on hall light when presence ON", "send notification on fall_detected event", "log HR/BR to InfluxDB". | pending |
 | **P6** | Ship `--mqtt` in the next sensing-server release (target: v0.7.0). Demo end-to-end on `cognitum-v0` against a Mosquitto add-on running on a Home Assistant OS install. Update README hardware-options table with "Works with Home Assistant" badge. | pending |
 | **P7** | Matter Bridge spike: build a throwaway prototype with `matter-rs` exposing one `OccupancySensor` endpoint + one `GenericSwitch` for fall. Pair against Apple Home, Google Home, and HA's Matter integration. Decision gate: if pairing works on all three, proceed to P8; if blocked, switch to chip-tool FFI and re-spike. | pending |
@@ -667,4 +667,57 @@ Empty as of 2026-05-23. New questions discovered during implementation will be f
 
 ---
 
+## 11. Status note: P4.5 semantic states on the live publisher (2026-10-02)
+
+Issues [#2085](https://github.com/ruvnet/RuView/issues/2085) and [#2093](https://github.com/ruvnet/RuView/issues/2093) found that discovery announced 20 entities per device while only 6 ever received state, that `presence/state` was published on every CSI frame, and that HA device ids changed on every restart. The FSMs in `crate::semantic` existed but had no caller outside their tests. This note records what is now wired and what is not.
+
+### 11.1 What changed
+
+- **Semantic primitives run on the live path.** `mqtt::planner` holds one `SemanticBus` per node, sampled at 1 Hz (the rate the FSM constants assume). The bus feeds only the MQTT publisher. Matter does not consume it yet, so the "output broadcast channel shared with Matter" in P4.5 is not built.
+- **Announce only what has a source.** Six primitives are announced: `room_active`, `no_movement`, `elderly_inactivity_anomaly`, `someone_sleeping`, `possible_distress` and `fall_risk_elevated`. Four are not: `meeting_in_progress` needs a 1–20 % motion level, but per-node motion is a three-level classification; `bathroom_occupied`, `bed_exit` and `multi_room_transition` need zones, and the broadcast carries none (the §3.12.5 zone file is not implemented). For the same reason `zone_occupancy` (§3.1) and `pose` are not announced: `pose_keypoints` is never populated on the broadcast, and `persons[].keypoints` are synthesized.
+- **Per-entity availability (§3.6).** An announced entity is `online` only while its input exists: vitals while the calibration-gated estimate is published, `fall` while the node sends `edge_vitals`, `motion_energy` and `rssi` while present, and semantic primitives after the 60 s warmup (sleeping and distress also need breathing or heart rate, fall risk needs the fall detector). Otherwise it is `offline` and no state is sent. Transitions publish at once; all availability topics are re-sent every 30 s.
+- **No default values.** `motion_energy` was always `0.0` (MEASURED: 176 of 176 samples) because the bridge never set it. It now carries the node's `motion_band_power`, or the room value, or nothing. `fall` is driven by the rising edge of `edge_vitals.fall_detected`. Only `sensing_update` produces snapshots, which removes the phantom aggregate device that `edge_vitals` frames created. `present_still` now maps to 0 % motion instead of 100 %.
+- **Rates (§3.7).** Binary states publish on change, plus a 60 s retained heartbeat, as §3.5 already specified. Sensors keep their configured rates.
+- **Stable device identity (§3.8).** The default client id is now `wifi-densepose-<8 hex>`, persisted in `<data-dir>/mqtt_client_id`. §3.8 specified `wifi-densepose-<hostname>`; a persisted random id avoids a hostname dependency and survives hostname changes. `--mqtt-client-id` still overrides it.
+
+### 11.2 Evidence
+
+Unit tests (CODE-DERIVED, run with `cargo test -p wifi-densepose-sensing-server --features mqtt --lib -- mqtt:: semantic::`): `mqtt::planner::tests` covers the entity → state mapping, unavailable-without-source, warmup, on-change with heartbeat at a 73 frame/s input, sensor rates, reset and privacy mode. `mqtt::bridge::tests` covers message-type filtering, fall edges and motion energy. `mqtt::config::tests` covers client-id persistence across two "restarts" in a temp dir, override and malformed-file recovery.
+
+Live measurement (MEASURED, 2026-10-02): one ESP32 node streaming CSI and `edge_vitals` over UDP to a macOS host; `sensing-server --source esp32 --mqtt` against `eclipse-mosquitto:2` in Docker on a non-default port; every topic captured with a `paho-mqtt` subscriber on `#`. "Before" is `03a89793` (main), "after" is this change, built `--release --features mqtt`, same command and window.
+
+```bash
+# Broker: mosquitto.conf = "listener 1883 0.0.0.0 / allow_anonymous true / persistence false"
+docker run -d --rm -p 127.0.0.1:18830:1883 \
+  -v "$PWD/mosquitto.conf:/mosquitto/config/mosquitto.conf:ro" eclipse-mosquitto:2
+# Run A (180 s, then SIGTERM) and run B (restart, 45 s) share one --data-dir.
+# A paho-mqtt subscriber on '#' starts 2 s before each run.
+RUVIEW_API_TOKEN=<random> sensing-server --source esp32 --udp-port 5006 \
+  --udp-bind 0.0.0.0 --udp-allow <node-subnet> --http-port 3000 --ws-port 3001 \
+  --no-mdns --data-dir <dir> --mqtt --mqtt-host 127.0.0.1 --mqtt-port 18830
+```
+
+| Measure (180 s window unless noted) | Before (`03a89793`) | After |
+|---|---|---|
+| HA devices announced in run A | 2 (one phantom aggregate + `-node1`) | 1 (`-node1`) |
+| Entities announced per device | 20 | 15 |
+| Entities that received state (node device) | 6 | 10 |
+| Announced entities without state that still reported `online` | 14 | 1 (`fall`: an event, and no fall occurred) |
+| `presence/state` messages (node device) | 6,814 (37.9 / s) | 4 (one per change, plus 60 s heartbeat) |
+| `motion_energy` values | `0.0` in 176 of 176 | node band power, 177 samples |
+| Device id, run A → run B (restart, same `--data-dir`) | `wifi-densepose-<pid A>` → `<pid B>` (4 devices on the broker after B) | same persisted id in both runs (1 device) |
+| `offline` published on SIGTERM | no | no (unchanged; see 11.3) |
+| Same, plus `--privacy-mode` (75 s, fresh `--data-dir`) | — | 13 entities announced; no `heart_rate`, `breathing_rate` or `pose` topic for that device |
+
+After the change, five announced entities had no state: `heart_rate` and `breathing_rate`, because no calibration had been run; `someone_sleeping` and `possible_distress`, which depend on them; and `fall`, which is an event and no fall occurred. The first four were `offline`. `fall` was `online`, because the node sent `edge_vitals`. Before the change all 14 entities without state still reported `online`. Only one node was streaming during this measurement. #2085 used five nodes and measured about 73 `presence` messages per second per node.
+
+### 11.3 Not done
+
+- Semantic precision/recall on real captures. The figures in `semantic-primitives-metrics.md` have no reproducer in the repository and stay CLAIMED.
+- Zone and threshold files, `--semantic*` / `--no-semantic` flags on `sensing-server`, the `reason` attribute (§3.12.4), and `semantic_events.jsonl`.
+- MQTT last-will and offline-on-shutdown (§3.6). The server registers no LWT and SIGTERM does not publish `offline`, so availability stays as last published after the server stops.
+- Matter consumption of the semantic states.
+
+---
+
 *ADR-115 is the integration story that turns RuView from "another sensing platform" into "drop-in upgrade for any HA install **and** any Matter-controller home." MQTT carries the rich, differentiated telemetry; Matter carries the standardised subset across every controller ecosystem. Numbers 111 and 112 remain reserved per the project ADR-numbering policy.*

docs/adr/ADR-266-mediatek-filogic-csi-platform.md

@@ -66,10 +66,64 @@ hardware claims.
   timestamps, sequence behavior, calibration, maximum size, and report rate.
 - Validate OpenWrt One first, then BPI-R3 4x4, before considering MT7996/MLO.
 
+## Amendment 1 — vendor CSI on MT7981, still unvalidated
+
+- **Date**: 2026-09-19, recorded here 2026-10-01
+- **Status**: proposed. One board model (two units). The hardware gates below are still open.
+
+The 2026-07-18 decision said the public `mt76` tree has no supported CSI export,
+and that a firmware change might be required before physical CSI exists. Both
+statements need a narrower reading.
+
+Mainline `openwrt/mt76` still has no CSI export. MediaTek's public OpenWrt feed
+does: vendor id `0x0ce7`, MCU event `0xc2`, patch
+`1001-wifi-mt76-mt7915-csi-implement-csi-support`. On a Wavlink WL-WN586X3
+Rev A (MT7981BA + MT7976CN + MT7531AE) that patch, rebased onto the `mt76`
+revision pinned by OpenWrt 24.10.8, produced complex samples without a firmware
+blob swap. The `0xc2` hook is already in the MT7981 firmware that the OpenWrt
+24.10.8 image carries. The
+rebased patch and the two userspace fixes are in `firmware/openwrt-wn586x3/`.
+
+What the first capture was: one record, 2.4 GHz, 20 MHz, legacy OFDM, 64
+subcarriers, a single chain. CSI arrived only while a client sent frames.
+The rate is client traffic, not a sensor sample clock. The capture is not in
+this repository.
+
+What it was not:
+
+- Not a calibration, a sequence check, a timestamp check, or a repeatability run.
+  The label on the wire is `mediatek:physical-unvalidated`. Plain `mediatek` stays
+  reserved for a frame that has passed those gates.
+- Not a 4x4 array. Each radio is two chains. The four antennas are a 2.4 GHz pair
+  and a 5 GHz pair. Two routers are two receivers. Cross-box phase is not a
+  shared local oscillator, so it is not a beam.
+- Not the OpenWrt One or the BPI-R3. Those remain the upstream-friendly targets
+  in the original decision. The WN586X3 is the board this path was actually run on.
+
+`wifi-densepose-mtk-bridge` translates `mt76-vendor` JSON, or an MtkCSIdump
+datagram, into ADR-267 MTC1 and sends it to the sensing server. The server keeps
+one snapshot and a bounded ring of per-subcarrier amplitude and phase per
+`device_id`. It runs `mediatek-amplitude-heuristic-v0` on mean and peak amplitude,
+and `activity-index-v0` on per-subcarrier fluctuation. Both are `CLAIMED`. Neither
+is the ESP32 vital-sign path.
+
+One measured property supports further work, and nothing more. Offline, on six
+local dump captures from two units (2.4 GHz, HT20, chains rx0 and rx1 of transmit
+stream 0), the cross-chain phase `arg(H0·conj(H1))`, summed over subcarriers,
+moved 0.014-0.039 rad (p50) between adjacent frames for well-sampled
+transmitters. Raw per-chain phase moved about 1.56 rad (p50), which is what
+uniformly random phase gives (MEASURED; reproducer
+`scripts/mediatek-csi-phase-stability.py`). That shows a stable observable inside
+one radio. It does not show that the observable tracks people.
+
+The operator guide is [`docs/mediatek-router-csi.md`](../mediatek-router-csi.md).
+
 ## Links
 
 - [ADR-123: BFLD capture path](ADR-123-bfld-capture-path-nexmon-and-esp32.md)
 - [ADR-264: RTL8720F radar wire protocol](ADR-264-rtl8720f-radar-wire-protocol.md)
+- [ADR-267: MediaTek MIMO CSI wire protocol](ADR-267-mediatek-mimo-csi-wire-protocol.md)
+- [MediaTek router CSI guide](../mediatek-router-csi.md)
 - [upstream mt76](https://github.com/openwrt/mt76)
 - [OpenWrt One](https://openwrt.org/toh/openwrt/one)
 - [MediaTek OpenWrt feed](https://git01.mediatek.com/openwrt/feeds/mtk-openwrt-feeds/)

docs/adr/ADR-267-mediatek-mimo-csi-wire-protocol.md

@@ -34,6 +34,81 @@ Define `MTC1` version 1 as a little-endian, self-delimiting envelope:
 - Flags distinguish calibrated, saturated, time-synchronized, dropped-predecessor,
   and synthetic frames. Synthetic provenance cannot be cleared by downstream code.
 
+## Amendment 1 — PPDU types `Legacy` and `Unknown`
+
+- **Date**: 2026-09-19
+- **Status**: proposed. Demonstrated on one WL-WN586X3 capture. Not a maintainer acceptance.
+- **Scope**: `PpduType` discriminants only. The 72-byte header layout, CRC,
+  payload ordering, flags, and caps are unchanged.
+
+### What changed
+
+`PpduType` gains two variants:
+
+| Value | Name | Meaning |
+|---|---|---|
+| 6 | `Legacy` | Pre-HT: 802.11b CCK or 802.11a/g OFDM |
+| 7 | `Unknown` | A PPDU format the producer could not classify |
+
+Values 1-5 (`Ht`, `Vht`, `HeSu`, `HeMu`, `Eht`) are untouched.
+
+### Why
+
+The original set assumed every CSI report would be HT or later. The first real
+MT7981 capture disproved that. A Wavlink WL-WN586X3 (MT7981B + MT7976C) running
+an OpenWrt 24.10.8 image built with the patches in `firmware/openwrt-wn586x3/`
+reported `rx_mode = 1` (`MT_PHY_TYPE_OFDM`) for a client associated on 2.4 GHz
+channel 6 at 20 MHz. The bridge had no way to express it and dropped the frame.
+
+That was a real data loss, not a corner case. MediaTek's CSI driver treats legacy
+OFDM as a first-class mode: `mt7915_vendor_csi_tone_mask` skips only
+`MT_PHY_TYPE_CCK`, and its `mode_map` is keyed by `MT_PHY_TYPE_OFDM`, `_HT`,
+`_VHT` and `_HE_SU`, giving OFDM its own tone-mask group
+(`1001-wifi-mt76-mt7915-csi-implement-csi-support.patch:1070-1088`). Association
+and management exchanges are legacy-rate by design, so a sensing deployment will
+see these continuously.
+
+`Unknown` exists so the enum's gaps (5-7 and 12 in `mt76_phy_type`) and future
+modes are carried explicitly rather than guessed at or dropped. It also covers
+transports that omit the field: the MtkCSIdump UDP datagram carries no `rx_mode`,
+and reporting `Unknown` there is honest where defaulting to a concrete format was
+not.
+
+### Compatibility
+
+- **Forward, not backward.** A decoder built before this amendment rejects
+  discriminants 6 and 7 with `UnknownPpduType`, because the original parser
+  rejects unknown types by design. `TryFrom<u8>` returns `Err` rather than
+  panicking, so an old decoder fails safely — it just drops legacy frames, and
+  does so silently. **Rebuild MTC1 consumers after this codec change.**
+- **Scope is narrower than "the workspace".** `wifi-densepose-hardware` defines
+  three independent `PpduType` enums — `csi_frame.rs` (ESP32),
+  `qualcomm_csi.rs`, and `mediatek_csi.rs` — and this amendment touches only the
+  MediaTek one. Neither of the others changes, so no other vendor bridge is
+  affected. The complete set of `mediatek_csi::PpduType` consumers is:
+  `wifi-densepose-hardware`'s own `mediatek-csi-sim` binary,
+  `wifi-densepose-mtk-bridge`, and `wifi-densepose-sensing-server`, which renders the
+  value with `{:?}` and so needed no code change. In particular the
+  `ppdu_type > 3` bound in `bootstrap_baseline.rs` is fed from the **ESP32**
+  enum via `CsiGridKey::from_frame(&Esp32Frame)`, not from MediaTek frames, so
+  `Legacy` and `Unknown` cannot reach it.
+- Because the variants were added rather than renumbered, and Rust requires
+  exhaustive matches, the compiler locates any consumer that must be updated.
+  Nothing outside the files above needed one.
+- Producers must emit 6 only for frames that genuinely are pre-HT, and 7 only
+  where the format is truly unclassified. Neither is a dumping ground for a
+  mapping the producer has not done.
+- The mapping from `rx_mode` to `PpduType` is now infallible, so no MTC1 producer
+  may drop a frame on PPDU grounds.
+- Unchanged: synthetic provenance still cannot be cleared by downstream code.
+
+### Observed dimensions
+
+The same capture assembled to 1x1x64. That is the client's behaviour, not a
+protocol limit: the handset sent single-stream frames to a 2.4 GHz 20 MHz AP.
+Expect 1x2 or 2x2 on 5 GHz, and size consumers for the chipset profile's
+`max_chains` rather than for what one capture happened to show.
+
 ## Consequences
 
 ### Positive
@@ -59,3 +134,8 @@ Define `MTC1` version 1 as a little-endian, self-delimiting envelope:
 - [ADR-266: MediaTek Filogic CSI platform](ADR-266-mediatek-filogic-csi-platform.md)
 - [ADR-018: ESP32 binary CSI framing](ADR-018-esp32-csi-frame-protocol.md)
 - [ADR-264: RTL8720F radar wire protocol](ADR-264-rtl8720f-radar-wire-protocol.md)
+- Amendment 1 implementation: `v2/crates/wifi-densepose-hardware/src/mediatek_csi.rs`
+  (codec) and `v2/crates/wifi-densepose-mtk-bridge` (`ppdu_from_rx_mode`). The
+  motivating capture is a lab record and is not in this tree: it contains a
+  client transmitter address and raw CSI. The in-repo check is a fabricated
+  legacy-OFDM record in `wifi-densepose-mtk-bridge/tests/hardware_capture.rs`.

docs/adr/ADR-323-rtl8721dx-ameba-csi-wire-protocol.md

@@ -0,0 +1,218 @@
+# ADR-323: RTL8721Dx (Realtek AmebaDplus) CSI Wire Protocol
+
+- **Status**: accepted
+- **Date**: 2026-09-15
+- **Deciders**: RuView maintainers
+- **Tags**: realtek, ameba, amebadplus, rtl8721dx, csi, protocol, rust, udp
+
+## Context
+
+Unlike the MediaTek/Qualcomm CSI paths (ADR-266..269), which are simulator-first
+because no supported public vendor interface exports complex CSI, Realtek's
+official Ameba RTOS SDK (`Ameba-AIoT/ameba-rtos`, Apache-2.0) documents and
+exposes a real, callback-driven CSI API for the RTL8721Dx ("AmebaDplus")
+family: `wifi_csi_config()` plus the `RTW_EVENT_CSI_DONE` event delivering a
+`struct rtw_event_csi_report_info` (per-tone signed I/Q, 8-bit or 16-bit
+precision, selectable tone decimation, passive or active/triggered capture).
+This has been confirmed directly against SDK source
+(`component/wifi/api/wifi_api_event.h`) and against the official
+`example/wifi/wifi_csi` example, and validated on real PKM8721DAF-C13-F10
+hardware (build+flash+boot confirmed on branch `feat/rtl8721dx-csi-bringup`).
+
+The RTL8721Dx is a 1x1 WiFi 4 part — single TX/RX chain, not MIMO — so the
+MediaTek/Qualcomm wire format (Tx/Rx dimensioned matrices, chipset chain
+counts) does not fit. The vendor SDK's raw struct is also not a safe host
+wire format as-is: it has no CRC, a C flexible-array-member payload, and
+fields sized for firmware convenience (e.g. a wrapping `u32` microsecond
+timestamp) rather than network robustness.
+
+Per the existing repo convention (ESP32/ADR-018, MediaTek/ADR-266-267,
+Qualcomm/ADR-268-269, RTL8720F radar/ADR-263-264), each vendor CSI/radar
+source gets its own self-delimiting envelope and its own Rust module pair
+(`wifi-densepose-hardware` for framing+codec+simulator,
+`wifi-densepose-sensing-server` for the bounded JSON-safe snapshot), never a
+shared "generic vendor CSI" struct that would either lose vendor-specific
+fields or invite magic-space collisions. `SourceKind::Realtek` (value 2) is
+already assigned to the RTL8720F FMCW radar path (ADR-263/264) and must not
+be reused for CSI.
+
+## Decision
+
+Define `RAC1` ("Realtek Ameba CSI", version 1) as a little-endian,
+self-delimiting envelope, magic `0x3143_4152` (distinct from `MTC1`
+`0x3143544d`, `QCS1` 0x31535143, `RTR1` 0x31525452, and all ADR-018
+`0xC511000x` siblings):
+
+Fixed 49-byte header (explicit field-by-field serialization, no `#[repr(C)]`
+padding, matching the MediaTek/Qualcomm modules' style):
+
+| Field | Type | Notes |
+|---|---|---|
+| magic | u32 LE | `0x3143_4152` |
+| version | u8 | 1 |
+| header_len | u16 LE | 49 |
+| frame_len | u32 LE | header + payload + 4-byte CRC |
+| node_id | u8 | disambiguates multi-board illuminator/receiver deployments; 0 = unset |
+| csi_mode | u8 | 0=passive, 1=active, 2=board-to-board (`CsiMode`) |
+| sequence | u32 LE | from firmware `csi_sequence` |
+| timestamp_us | u32 LE | from firmware `hw_assigned_timestamp` (hardware-clock microseconds, wraps ~71 min — consumers must not assume monotonic across a capture longer than that) |
+| peer_mac | [u8; 6] | firmware `mac_addr` |
+| trig_mac | [u8; 6] | firmware `trig_addr` |
+| channel | u8 | operating channel |
+| bandwidth | u8 | 0=20MHz, 1=40MHz |
+| rx_rate | u8 | firmware `rx_rate` |
+| protocol_mode | u8 | 0=OFDM,1=HT,2=VHT,3=HE (`ProtocolMode`) |
+| num_sub_carrier | u16 LE | tone count in payload |
+| num_bit_per_tone | u8 | 16 (8-bit I + 8-bit Q) or 32 (16-bit I + 16-bit Q) |
+| decimation | u8 | tone group (1/2/4/8 — every Nth tone) |
+| rssi_dbm | i8 | single RF chain (1x1 hardware) |
+| rxsc | u8 | sub-20 MHz channel used |
+| csi_valid | u8 | 0/1 from firmware |
+| flags | u8 | bit 0 = SYNTHETIC (simulator provenance, never clearable downstream) |
+| payload_len | u32 LE | bytes, == `num_sub_carrier * (num_bit_per_tone / 8)` |
+
+Payload: `num_sub_carrier` consecutive (I, Q) tone pairs, each
+`num_bit_per_tone / 16` bytes per component (1 byte/component when
+`num_bit_per_tone == 16`, 2 bytes/component little-endian signed when `== 32`)
+— i.e. exactly the byte layout the firmware already produces in
+`csi_data[]`, just framed. CRC-32/IEEE over header+payload, final 4
+little-endian bytes. One envelope per UDP datagram.
+
+Parsers reject: unknown version, wrong `header_len`, `frame_len` exceeding
+the IPv4 UDP payload cap (65,507 bytes), `num_bit_per_tone` outside
+`{16, 32}`, `payload_len` inconsistent with `num_sub_carrier *
+(num_bit_per_tone/8)`, trailing bytes, and bad CRC — mirroring the
+MediaTek/Qualcomm parser contract exactly.
+
+Host side: add `realtek_csi.rs` to both
+`wifi-densepose-hardware` (frame + codec + simulator, mirroring
+`mediatek_csi.rs`/`qualcomm_csi.rs`) and `wifi-densepose-sensing-server`
+(bounded `RealtekCsiSnapshot`, mirroring `QualcommCsiSnapshot`), wired into
+the same UDP listener loop and `/api/v1/csi/realtek/latest` route as the
+existing vendor sources. The initial Mac compatibility port keeps Realtek CSI
+as a separate bounded diagnostic stream. Fresh ESP32 frames remain the primary
+sensing source. This change does not add `SourceKind::RealtekCsi` to a signed
+ingest contract; that requires a separate reviewed identity-bound hardware
+proof. RAC1 CRC checks corruption, not origin.
+
+Firmware side (`example/wifi/wifi_csi` derivative, built against the
+official Ameba RTOS SDK, tracked outside this repository per the existing
+`CLAUDE.local.md` convention — the vendor SDK itself is never vendored into
+this repo): join the board to the deployment's WiFi AP in STA mode
+(passive CSI against the real AP as peer, since only one physical board is
+available in this bring-up), read the AP's BSSID at runtime after
+association (never hardcode a MAC into firmware source), pack each
+`RTW_EVENT_CSI_DONE` report into one `RAC1` datagram, and `sendto()` it over
+UDP to the host sensing-server's existing CSI port.
+
+## Consequences
+
+### Positive
+
+- CSI is real, MEASURED hardware output from day one — no simulator-first
+  bridge phase is needed the way MediaTek/Qualcomm required, because the
+  vendor SDK genuinely exposes the capability and we have the board in hand.
+- One board is sufficient for a first useful signal (passive CSI against the
+  home AP); active and board-to-board modes are additive later without a
+  wire-format break (`csi_mode` already reserves the values).
+- Reuses the bounded UDP parser and status-route pattern without changing
+  existing ESP32 sensing. Unsigned RAC1 diagnostics are not authorized as
+  calibrated presence, person count, pose, or vital evidence.
+
+### Negative
+
+- 1x1 hardware means no spatial (multi-antenna) diversity from a single
+  board; multi-board deployment is required for the differential/localization
+  use cases described in the original RTL8721Dx capability analysis.
+- The 71-minute microsecond timestamp wraparound (inherited from the
+  firmware's `u32` field) means long unattended captures need host-side
+  sequence-based reordering, not raw timestamp arithmetic, across a wrap.
+
+### Neutral
+
+- The RAC1 envelope intentionally does not carry the SDK's raw
+  `csi_signature` (0xABCD) marker — our own `magic`/CRC supersede it as the
+  framing integrity check.
+
+## Hardware gates
+
+- [x] Confirm SDK source exposes `RTW_EVENT_CSI_DONE` / `rtw_event_csi_report_info` (done — `component/wifi/api/wifi_api_event.h`).
+- [x] Build and flash a baseline image on real PKM8721DAF-C13-F10 hardware, confirm boot over serial (done — `feat/rtl8721dx-csi-bringup`).
+- [x] Flash the CSI-streaming firmware and confirm `RAC1` datagrams parse on the host from the real board (done, 2026-09-15 — see below).
+- [x] Record MEASURED throughput/latency/jitter from the real running firmware (done, 2026-09-15 — see below).
+- [ ] A human walk-test across the link (amplitude perturbation vs. static baseline) is deferred — requires the operator physically present; not claimed until performed.
+
+### MEASURED: real RAC1 capture and sustained throughput (2026-09-15)
+
+Passive CSI (`RTW_CSI_MODE_NORMAL`, `RTW_CSI_TRIG_BEACON | RTW_CSI_TRIG_DATA | RTW_CSI_TRIG_QOS_DATA`)
+against the deployment AP. A single `RAC1` datagram was first
+cross-checked field-by-field against the firmware's own serial log of the
+same report — every byte matched: magic `0x31434152`, RSSI byte exact match,
+channel/bandwidth/protocol/subcarrier-count exact match, 157-byte total frame
+(49-byte header + 104-byte payload + 4-byte CRC, exactly as specified above).
+
+`RTW_CSI_MODE_RX_RESP` (estimate CSI from ACKs to the STA's own transmissions)
+never fired `RTW_EVENT_CSI_DONE` across two full test runs with confirmed
+real traffic (not a hang) — this mode does not work for this hardware/AP
+combination and `RTW_CSI_MODE_NORMAL` with beacon+data triggers is the
+working configuration.
+
+**An earlier note here claimed `NORMAL` mode fires only once per CSI enable
+— that was wrong**, caused by a debug log line gated to print only every
+50th frame (`frame_count % 50 == 1`), which was misread as "only one report
+total." A follow-up capture with a UDP listener running concurrently with a
+board reset measured **277 real RAC1 datagrams in 40 seconds (43,489 bytes)**,
+with `csi_sequence` climbing continuously and monotonically in the firmware's
+own serial log across six separate 50-frame log checkpoints in one 45s
+session — CSI reporting is continuous, roughly 7-12 fps, not sparse.
+
+### MEASURED: throughput optimization pass (2026-09-15)
+
+Formalized as a repeatable tool: `scripts/benchmark-rtl8721dx-csi.py` (listens
+on the sensing-server's CSI UDP port, reports fps/throughput/RSSI/inter-frame
+interval/sequence-gap stats from real received `RAC1` datagrams).
+
+**Baseline** (`trig_period=200` [64ms], `trig_frame_ctrl=0`,
+`CSI_REPORT_BUF_NUM=1`), 30s capture:
+
+| Metric | Value |
+|---|---|
+| RAC1 fps | 14.67 |
+| Throughput | 2,302.7 bytes/s |
+| Mean inter-frame interval | 68.3 ms |
+| RSSI | mean -34.4 dBm |
+
+`trig_period` (units of 320µs) was hypothesized as the rate-limiting
+throttle — the observed 68.3ms mean interval tracks the 64ms configured
+period almost exactly. Confirmed by tuning:
+
+1. `trig_period`: 200 → 15 (the SDK doc's stated minimum recommended value,
+   ~4.8ms)
+2. `trig_frame_ctrl`: 0 → `RTW_CSI_TRIG_ACK` (second trigger source: every
+   link-layer ACK the AP sends for the heartbeat's own outgoing traffic, on
+   top of the existing beacon trigger)
+3. `CSI_REPORT_BUF_NUM`: 1 → 4 (a "lack of csi buf!" drop was observed even
+   at the slower baseline rate; more headroom needed at a higher rate)
+
+**Tuned**, 30s capture:
+
+| Metric | Value | vs. baseline |
+|---|---|---|
+| RAC1 fps | 66.40 | **4.5x** |
+| Throughput | 10,424.8 bytes/s | **4.5x** |
+| Mean inter-frame interval | 14.9 ms | 4.6x lower |
+| Sequence gaps | 78 / ~2036 (~3.8%) | new (0 observed at the slower baseline rate) |
+| RSSI | mean -31.1 dBm | (different session/position, not a controlled variable here) |
+
+The `trig_period` hypothesis is confirmed as the primary lever. The ~3.8%
+frame-loss rate at 66 fps is a reasonable place to stop for now — it is
+UDP-over-WiFi loss, not a firmware defect, and is small enough not to block
+downstream sensing use; revisit only if a use case needs stronger delivery
+guarantees (sequence-gap-triggered re-request, TCP fallback, etc.).
+
+## Links
+
+- [ADR-266](ADR-266-mediatek-filogic-csi-platform.md) / [ADR-267](ADR-267-mediatek-mimo-csi-wire-protocol.md) — sibling vendor CSI ADR pair (simulator-first precedent)
+- [ADR-268](ADR-268-qualcomm-atheros-csi-platform.md) / [ADR-269](ADR-269-qualcomm-csi-wire-protocol.md) — sibling vendor CSI ADR pair
+- [ADR-263](ADR-263-rtl8720f-2-4ghz-fmcw-radar-platform.md) / [ADR-264](ADR-264-rtl8720f-radar-wire-protocol.md) — existing Realtek (RTL8720F radar) path; `SourceKind::Realtek` owner
+- `CLAUDE.local.md` — RTL8721Dx toolchain setup, board/COM port, first bring-up log

docs/adr/ADR-345-per-link-csi-and-node-to-node-ranging.md

@@ -0,0 +1,193 @@
+# ADR-345: Per-link CSI attribution and node-to-node ranging
+
+- **Status**: Proposed — measurement layer implemented and validated on hardware; localization not built
+- **Date**: 2026-08-28
+- **Deciders**: Joe
+- **Tags**: csi, wire-format, esp32-c6, localization, adr-018, adr-060, adr-110
+
+## Context
+
+Every attempt at device-free position estimation in this repository has failed
+against the same wall, and the wall has now been measured twice from different
+directions.
+
+**Phase is unusable.** The bistatic tier needed a signed per-link radial
+velocity, which requires the common-mode component of CSI phase. Measured
+2026-08-28 across all 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, standard deviation 1.78–1.81 against `pi/sqrt(3)` = 1.814, and 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 `2*pi * 2.412e9 * 50e-9` ~= 758 rad, about
+120 full wraps, re-randomized every packet. Not calibratable. The bistatic tier
+is default-off as a result (`bistatic_tier_enabled`).
+
+**Amplitude works but had no parallax.** The three AP -> node links leave a
+single distant transmitter within a 36.5 degree fan and converge on the node
+cluster. Bearings computed from `room_config.json`: 198.5, 221.2, 235.0 degrees.
+Scalar per-node energy weighting was closed with a clean negative result on
+2026-08-27 — magnitude responds to proximity, direction does not.
+
+**The receivers were hearing far more than we recorded.** A node in promiscuous
+MGMT+DATA mode with no `filter_mac` produces CSI for every transmitter on the
+channel. Measured on node 2: the AP accounted for only **34%** of frames; the
+two peer nodes supplied 39% and 27%. Those peer frames are valid measurements
+of *node-to-node* channels — but ADR-018's wire format carries no transmitter
+address, so the sink could not attribute them. They interleaved into one
+`frame_history` with mixed geometry, and the only available remedy
+(`filter_mac`, ADR-060) fixes the mixing by discarding ~75% of the data.
+
+The node-to-node links between the same three boards cross the room from three
+sides at **108.7 degrees** of angular spread (bearings 0.0, 73.2, 108.7) versus
+36.5 for the AP links — roughly 3x the parallax, with both endpoints known,
+fixed, and under our control rather than wherever the router happens to live.
+Link count also grows as `N*(N-1)/2`: 3 nodes give 3 links, 6 give 15, 13 give
+78.
+
+## Decision
+
+Carry the transmitter MAC on the CSI wire and model CSI per **link**
+(receiver, transmitter) rather than per **node**, as a layer alongside the
+existing per-node model.
+
+### 1. Wire format v2
+
+`CSI_MAGIC_V2 = 0xC5110008`, header 26 bytes: the v1 header unchanged through
+byte 19, then the transmitter address (`info->mac`, 802.11 addr2) at bytes
+20..25, with I/Q from byte 26.
+
+`0xC5110002`..`0xC5110007` were already claimed by the vitals, feature and other
+edge packets, so v2 takes the next free value rather than an adjacent one — see
+`issue_928_magic_collision_tests` for why that matters. The parser accepts both
+magics, so a mixed fleet keeps working and v1 nodes simply report no
+transmitter.
+
+### 2. Per-link state (`links.rs`)
+
+`LinkTable` keyed by `LinkId { rx_node, tx_mac }`, each link holding its own
+amplitude history, RSSI EMA, learned resting baseline and motion metric.
+
+The metric is the mean over subcarriers of the temporal standard deviation of
+**AGC-normalized** amplitude. Removing each frame's own mean across subcarriers
+is essential rather than cosmetic: the ESP32 applies automatic gain control per
+packet, so absolute amplitude jumps between packets for reasons unrelated to the
+channel, and any statistic built on the raw level measures the radio's gain
+control instead of the room.
+
+Amplitude only, deliberately — nothing here can depend on phase coherence.
+
+### 3. Beacon rate
+
+`BEACON_PERIOD_MS` 100 -> 20. At 10 Hz a peer samples a node-to-node link with a
+5 Hz Nyquist while motion Doppler lives at 1–20 Hz; it aliases before it starts.
+20 ms matches both the receiver's own `CSI_MIN_PROCESS_INTERVAL_US` ceiling and
+the gateway self-ping already used for the AP link.
+
+### 4. `GET /api/v1/links` and a live UI panel
+
+The link table was initially reachable only through a 30-second log line, which
+is the wrong medium for a quantity whose value is watching it respond while you
+walk across the room. `GET /api/v1/links` returns one row per link — `motion`,
+`raw_motion`, `rssi_dbm`, `frames`, `kind` — and `LinkMeshPanel` renders them in
+the Sensing tab at 1 Hz. `raw_motion` is shown beside `motion` deliberately: a
+link whose baseline has not settled reports a healthy raw value and a near-zero
+motion, and with only the one number that is indistinguishable from a dead link.
+
+Node identity is **inferred, not measured**. Nothing in the system records a
+node's own MAC — a node reports the addresses it hears, never its own. But a
+radio does not receive its own transmissions, so given the set of receivers
+currently reporting, a transmitter heard by all of them except exactly one is
+that one receiver's own board; a transmitter heard by every receiver is external
+infrastructure. `links::infer_transmitting_node` declines (returns `None`) with
+fewer than three receivers, where "heard by all but one" and "heard by exactly
+one" are the same observation, and whenever more than one receiver is missing,
+which a peer out of range produces indistinguishably. The field is named
+`tx_node_inferred` and the UI draws the peer id with a trailing `?`.
+
+Checked against the known MAC map on 2026-08-28 the inference labelled all four
+transmitters correctly — nodes 0, 1 and 2 by address, and the AP as external —
+with no access to that map. A wrong answer here mislabels a display row; it
+never reaches a metric.
+
+## Consequences
+
+### Validated on hardware, 2026-08-28
+
+All three nodes on wire v2 at 20 ms produced the full mesh: **9 links** (3 AP +
+6 directional node-to-node).
+
+Reciprocity — each physical channel measured independently from both ends:
+
+| channel | direction A | direction B | ratio |
+|---|---|---|---|
+| 0 <-> 1 | 2.229 | 1.930 | 1.15 |
+| 0 <-> 2 | 1.353 | 1.000 | 1.35 |
+| 1 <-> 2 | 1.398 | 1.486 | 1.06 |
+
+Nothing in the implementation enforces this. Three independent radio pairs
+agreeing within 6–35% is the strongest available evidence that the per-link
+separation is real rather than an artifact of frame bucketing.
+
+Link quality is also far more uniform than the AP links: node-to-node raw motion
+spans 1.0–2.2 across all six, versus 3.8–17.8 for the three AP links (which
+track RSSI: -67, -72, -80). Uniform link quality is desirable for tomographic
+localization — no single link dominates the solution.
+
+### Known limitations
+
+- **Peer links are ~10x weaker.** A 16-byte ESP-NOW beacon offers far less
+  energy to estimate a channel response from than a full data frame. Whether
+  1.0–2.2 perturbation is sufficient to localize with is **unknown and untested**.
+- **Three links is below threshold.** Tomographic localization needs many
+  crossing links; 3 will not localize regardless of quality. This ADR delivers
+  the measurement layer, not localization.
+- **Localization is not implemented.** No position tier consumes `LinkTable`.
+  The live position estimate remains `doppler_centroid`.
+- **Per-node path regression.** Removing `filter_mac` to admit peer frames
+  returned the *per-node* `frame_history` to a mixed-transmitter stream, since
+  it still consumes every frame regardless of source. Node 2's classification
+  signal is noisier as a result. The fix is to select a link to feed the
+  per-node path — software filtering that keeps the other links — and it is not
+  yet done.
+
+### Scaling limits to settle before more nodes
+
+- **Airtime.** Every node broadcasts, so N nodes put N/period frames per second
+  on the channel being sensed. 3 nodes at 20 ms is 150 pps; 13 would be 650 pps.
+  `BEACON_PERIOD_MS` should become an NVS setting scaled to fleet size.
+- **`MAX_LINKS` is 64.** 13 nodes give 78 receiver-transmitter pairs plus the AP
+  plus neighbours, which overflows. Raise deliberately, with the memory implied.
+- **Placement.** Links must *cross* the target area. Nodes spread through a
+  house give roughly one link per room, each attenuated by walls and perturbed
+  by anyone anywhere along it — whole-house coarse presence, not position.
+  Perimeter placement around a single room is the geometry that works.
+
+## Related bugs found and fixed while implementing
+
+- **ADR-060 MAC filtering cost ~75% of capture rate.** The 50 Hz rate gate ran
+  *before* the MAC filter and stamped `s_last_process_us` before the check, so a
+  frame from any other transmitter consumed the slot and was then discarded.
+  Enabling `filter_mac` dropped yield from ~42 pps to 6–13. Filtering first
+  restores it (measured 31–37 pps). A 6-byte `memcmp` is negligible ISR work next
+  to the CSI processing the gate guards.
+- **The entire edge pipeline was dead on ESP32-C6.** `EDGE_MAX_SUBCARRIERS` was
+  128, an S3-era assumption; a C6 on an HE-capable AP delivers HE20 frames with
+  256 bins, and `process_frame` rejected every one. ADR-110 onboarded the C6 to
+  the capture path but not this one. Vitals, presence, fall detection and
+  per-slot counting had never run on these boards. Now target-conditional on
+  `CONFIG_SOC_WIFI_HE_SUPPORT`, with the four subcarrier-sized arrays hoisted to
+  static so peak stack is *lower* than it was at 128.
+- **A target-conditional constant that failed silently.** `edge_processing.h`
+  had no `#include` at all, so `CONFIG_SOC_WIFI_HE_SUPPORT` was undefined and
+  `#if` evaluated it as 0 — selecting the wrong size with no warning. An
+  undefined identifier in `#if` is 0 in C. This is the same failure mode as the
+  bug it was fixing, one layer up.
+
+## References
+
+- `v2/crates/wifi-densepose-sensing-server/src/links.rs` — per-link state, 8 tests
+- `v2/crates/wifi-densepose-sensing-server/src/phase_diag.rs` — the phase measurement
+- `firmware/esp32-csi-node/main/csi_collector.c` — wire v2 serialization, filter ordering
+- `firmware/esp32-csi-node/main/edge_processing.h` — `EDGE_MAX_SUBCARRIERS`
+- ADR-018 (wire format), ADR-060 (MAC filtering), ADR-110 (C6 onboarding)

docs/adr/ADR-346-fail-closed-edge-occupancy-evidence.md

@@ -0,0 +1,52 @@
+# ADR 346: Fail closed ESP32 occupancy evidence
+
+## Status
+
+Accepted and implemented. Physical qualification is required after each firmware build.
+
+## Date
+
+2026 08 31
+
+## Context
+
+The ESP32 Tier 2 pipeline produces two different signals. Presence is a debounced room level decision. Person count is a bounded subcarrier diversity heuristic. A live four node installation emitted packets with `presence=false` and `n_persons=3` or `4`. The server eventually gated the aggregate room count, but raw WebSocket consumers and diagnostics could still treat the contradictory count as occupancy evidence.
+
+That contradiction is more dangerous than a missed optional count. It can contaminate empty room calibration, train a room model on false labels, and encourage a product claim that the firmware cannot support. The count is not identity, pose, or a validated multi person estimator.
+
+## Decision
+
+1. Firmware person slots are subordinate to the debounced presence gate.
+2. When presence is false, the firmware clears slot activity, slot history, candidate count, persistence streak, and stable count.
+3. The serialized person count is always zero when presence is false and is clamped to `EDGE_MAX_PERSONS` when presence is true.
+4. The sensing server repeats the invariant for older firmware. A contradictory or out of range count becomes zero and carries `person_count_valid=false`.
+5. Fused CSI plus mmWave packets use either CSI presence or mmWave presence as the supporting presence condition.
+6. The node inventory and WebSocket diagnostics expose person count validity. Consumers must not infer a person from an invalid count.
+7. No count accuracy claim is created by this change. The firmware output remains a heuristic until a leakage free, held out physical dataset demonstrates otherwise.
+8. OTA admission uses the selected update partition size rather than a stale fixed 900 KB ceiling. The status endpoint reports that same hardware bound, while image validation and authenticated OTA remain mandatory.
+
+## Security and privacy
+
+The change retains no raw CSI or personal data. It reduces authority by preventing a secondary heuristic from asserting occupancy after the primary gate has closed. The host validates packet length, magic, range, and logical consistency before using count evidence.
+
+## Consequences
+
+Older firmware remains wire compatible. Invalid count evidence becomes visibly unavailable instead of silently affecting calibration. A true multi person event can still be undercounted when the presence gate is false, which is the intended fail closed behavior. Current C6 images larger than 900 KB can use the installed 1,900,544 byte OTA slots after one serial upgrade, without weakening the OTA authentication gate.
+
+The largest uncertainty is whether the current presence gate itself generalizes across the installed rooms. The fix path is a room bound empty baseline plus the fixed room selective held out protocol, not a global threshold reduction.
+
+## Evidence and acceptance
+
+MEASURED before implementation on 2026 08 31: four live nodes streamed for 86 seconds with zero transport errors, while edge packets repeatedly contradicted `presence=false` with counts of three or four.
+
+Software acceptance requires:
+
+1. Host firmware tests prove absent plus four active slots serializes zero.
+2. Rust parser tests prove contradictory and out of range counts fail closed.
+3. The node API exposes count validity without breaking older firmware.
+
+Physical acceptance requires the updated firmware on a confirmed board, a captured boot log, five minutes of live packets, zero logical count contradictions, and no increase in transport errors. Accuracy remains unmeasured until labelled held out sequences are recorded.
+
+Physical occupancy qualification completed for ESP32 C6 node 4 on 2026 08 31. The five minute run observed 242 edge packets, including 61 absent packets, with zero logical count contradictions and zero parse errors. See `docs/validation/2026-08-31-esp32-c6-occupancy-integrity.md`.
+
+ESP32 C6 node 7 was subsequently identified, upgraded to firmware 0.8.8, and transport qualified for five minutes with zero fused presence count contradictions and zero steady state transport errors. Its controlled empty room sequence remains required before occupancy qualification. See `docs/validation/2026-08-31-esp32-c6-node7-rate-aware-sensing.md`. Other nodes remain unqualified until separately identified and upgraded.

docs/adr/ADR-347-rate-aware-esp32-temporal-sensing.md

@@ -0,0 +1,85 @@
+# ADR 347: Rate aware ESP32 temporal sensing
+
+## Status
+
+Accepted. Implemented in firmware 0.8.8. The timing and transport path is
+physically qualified on ESP32 C6. The independent raw transport path is also
+physically qualified on an ESP32 S3 running Tier 0. Held out inference accuracy
+remains required.
+
+## Context
+
+The ESP32 firmware creates CSI opportunities by sending one byte ICMP probes to
+the connected access point. The traffic source is configured for 50 Hz, but the
+delivered CSI cadence varies with channel contention and callback safety gates.
+A physical ESP32 C6 produced 28 to 37 callbacks per second during the baseline
+capture. Firmware 0.8.5 then exposed that the old per-interval estimator saw
+only 12 to 16 Hz because WiFi replies arrived in short bursts separated by
+longer gaps. The filters still consumed those burst frames, so excluding them
+from the clock estimate was incorrect.
+
+The edge DSP estimates its sample rate from timestamps so that breathing,
+heartbeat, motion, and future Doppler features stay in physical Hertz. That
+estimator was capped at 30 Hz. Once the actual cadence exceeded the cap, every
+temporal feature was scaled against the wrong clock.
+
+Physical firmware 0.8.5 validation corrected that initial diagnosis. Although
+the callback path received 26 to 40 frames per second, Tier 2 on the unicore C6
+processed an irregular subset that converged toward the 8 Hz estimator floor.
+The right design is not to force the edge DSP to match raw capture. The paths
+need independent, explicit cadence contracts.
+
+The device free gesture preprint at
+`https://www.preprints.org/manuscript/202602.0018` reinforces the importance of
+timestamp correct Doppler features, but its 100 Hz controlled link is not a
+safe firmware default for RuView. Existing S3 and C6 evidence records WiFi ISR
+and packet buffer failures under sustained callback pressure above 50 Hz.
+
+## Decision
+
+1. Make the connected STA probe rate a build time setting from 10 through 50
+   Hz, with a default and hard ceiling of 50 Hz.
+
+2. Track the delivered DSP cadence by counting every processed frame interval
+   over one second timestamp windows, then smooth successive windows in an 8
+   through 60 Hz estimator range. The 60 Hz estimator ceiling accommodates
+   timestamp jitter; it does not authorize more than 50 Hz callback processing.
+
+3. Reject incomplete windows below one second and stalled windows above three
+   seconds. Do not discard valid burst frames from the estimated clock.
+
+4. Surface the DSP rate in the one second controller diagnostic so hardware
+   validation can compare callback yield with the clock used by temporal
+   filters.
+
+5. Keep raw CSI on the wire at the independent network cadence. Rate-limit the
+   C6 on-device Tier 1 and Tier 2 DSP input to a uniform 8 Hz. Physical 0.8.7
+   evidence showed that a requested 10 Hz input still converged to 8.0 through
+   8.4 Hz under Tier 2 load, while raw delivery remained 30 through 40 pps.
+   Eight hertz retains a 4 Hz Nyquist limit for the 0.1 through 2.0 Hz vital
+   bands without creating a backlog. The S3 default remains 20 Hz.
+
+6. STFT, spectrogram gating, and learned temporal
+   classification remain host or iPhone responsibilities where memory,
+   rollback, and held out evaluation are stronger.
+
+## Consequences
+
+Heartbeat, respiration, and motion features receive a stable timestamped clock
+instead of an accidental subset determined by C6 backlog. Operators can lower
+the probe or DSP load for constrained networks without editing source. The host
+still receives the higher-rate raw stream for richer Doppler processing.
+
+This does not prove vital sign accuracy or gesture recognition. Higher temporal
+fidelity only improves the representation available to a separately validated
+model. The 50 Hz ceiling also means the paper's 100 Hz results are not directly
+transferable.
+
+## Acceptance test
+
+On a physical C6, run at least five minutes after flashing. Pass when the boot
+log reports the configured probe and DSP rates, the controller converges within
+one hertz of the configured DSP cadence, raw callback yield remains at least 20
+pps, no steady-state ENOMEM, watchdog, panic, or reboot occurs, and the fail
+closed occupancy invariant remains zero contradictions for at least 30 absent
+packets.

docs/adr/ADR-348-independent-rust-multivariate-forecasting.md

@@ -0,0 +1,336 @@
+# ADR-348: Independent Rust multivariate forecasting for RuView
+
+- **Status**: Proposed
+- **Date**: 2026-09-01
+- **Deciders**: ruv
+- **Owners**: RuView perception, model, security, and data-governance maintainers
+- **Tags**: forecasting, rust, ruvector, temporal, uncertainty, clean-room, provenance
+- **Extends**: ADR-016, ADR-020, ADR-145, ADR-273, ADR-282, ADR-295,
+  ADR-298, ADR-302, ADR-304, ADR-317, ADR-318, ADR-319
+- **Supersedes**: None
+
+## Executive decision
+
+RuView will develop an independently specified and independently trained Rust
+multivariate forecasting subsystem. It will forecast bounded, versioned
+temporal feature streams, publish calibrated quantiles and an explicit
+abstention state, optionally use a split-safe RuVector analogue index, and
+remain advisory until all release gates in this ADR pass.
+
+This is not a port, compatibility layer, distillation, or behavioural clone of
+Google TimesFM. The implementation API is derived from RuView requirements.
+Its weights must descend from an approved random initialization and approved
+training data only.
+
+**Evidence status at proposal:** the forecasting accuracy, false-alert
+reduction, calibration, CPU latency, memory use, cross-building generalization,
+and operational value described below are all **UNMEASURED targets**. This ADR
+authorizes implementation and evaluation; it makes no `MEASURED` capability
+claim and approves no production model.
+
+## Context
+
+RuView currently observes present and recent RF state. Forecasting could add a
+separate answer to questions such as whether a feature trajectory is consistent
+with real occupancy, whether motion is likely to transition between zones, or
+whether a radio link is degrading. A forecast is not a sensor observation. It
+is derived evidence with uncertainty and must never overwrite the immutable
+observation that produced it.
+
+TimesFM 3 is useful research context because its public description discusses
+multivariate targets, past covariates, known-future covariates, probabilistic
+outputs, temporal patching, and cross-series attention. Its licensing creates
+two distinct surfaces:
+
+- the Google TimesFM source repository states that source code is Apache-2.0;
+- the TimesFM 3 pretrained weights are distributed under a separate
+  non-commercial, non-production license that also restricts commercial
+  training, fine-tuning, and distillation from the model.
+
+An Apache-compliant Rust port would be a permissible but attributed derivative
+source path, subject to its exact license obligations. It would not support the
+strongest independent-development claim. Using the restricted TimesFM 3 model
+or its outputs to create a RuView commercial model is outside this ADR. The
+project therefore chooses the stricter clean-room protocol in
+[`../security/ruview-forecast-clean-room.md`](../security/ruview-forecast-clean-room.md).
+
+Clean-room controls reduce copyright, contract, and provenance risk. They do
+not establish freedom to operate against patents, clear trademarks, approve a
+dataset, or replace legal review in a launch jurisdiction.
+
+## Options considered
+
+1. **Use the TimesFM 3 checkpoint in RuView.** Rejected for commercial and
+   production use under the current checkpoint license.
+2. **Translate the Apache-licensed implementation into Rust.** Not selected.
+   This can be evaluated under a separate ADR, with attribution and license
+   compliance, but must not be mixed with the independent-development path.
+3. **Build an independent Rust forecasting specialist for RuView.** Chosen.
+   This narrows model scope, keeps inference native, controls provenance, and
+   makes RF-specific evaluation the source of authority.
+4. **Do not add forecasting.** Retained as the deployment baseline. Forecasting
+   must beat simpler deterministic and statistical baselines before acquiring
+   runtime authority.
+
+## Requirements
+
+| ID | Requirement | Verification authority |
+|---|---|---|
+| RF-001 | No TimesFM 3 code, configuration, weights, parameters, outputs, activations, or derivatives enter specification, implementation, training, evaluation feedback, or release artifacts. | Clean-room manifest, contributor attestations, repository and artifact scans |
+| RF-002 | Every contributor, reference, dependency, dataset, transform, training job, and checkpoint has immutable provenance. | Signed provenance manifests and review receipts |
+| RF-003 | Every training byte has documented rights for commercial machine-learning use and applicable privacy approval. | Dataset licensing gate and data-steward approval |
+| RF-004 | The default runtime is native Rust, bounded, offline, deterministic for a fixed artifact/input within the declared platform class, and free of runtime model download. | Unit, property, fuzz, replay, and dependency tests |
+| RF-005 | Inputs and outputs are versioned, finite, bounded, timestamped, mask-aware, and provenance-labelled. Invalid, stale, insufficient, or OOD inputs abstain. | Contract tests and malformed-input corpus |
+| RF-006 | Forecasts remain derived evidence. They cannot rewrite observations, silently increase observation confidence, or be relabelled `MEASURED`. | Schema invariants and evidence-engine tests |
+| RF-007 | Quantile ordering, interval calibration, missing-data behaviour, and abstention are evaluated on leakage-free site/session/device holdouts. | Frozen evaluation manifest and reproducible report |
+| RF-008 | RuVector retrieval is optional, split-scoped, provenance-recorded, and evaluated against the same model without retrieval. | Retrieval isolation tests and paired ablation |
+| RF-009 | RuVLLM may explain or summarize a signed forecast but cannot alter numeric forecasts, bypass policy, spend money, or trigger medical, emergency, access-control, or life-safety action. | Capability tests and downstream policy review |
+| RF-010 | Training on local Linux or a hosted accelerator uses identical signed code, container, data, and configuration identities; the provider is an untrusted processor. | Training receipts and digest comparison |
+| RF-011 | Accuracy, latency, memory, power, and operational claims remain `UNMEASURED` or `CLAIMED` until a named reproducer satisfies the repository evidence contract. | Documentation and release review |
+| RF-012 | Rollout is reversible and cannot advance from offline evaluation to shadow or advisory operation without the mapped gates below. | Signed mode transition and rollback drill |
+
+## Architecture boundary
+
+The initial implementation is split across three crates:
+
+| Crate | Owned responsibility | Dependency/runtime rule |
+|---|---|---|
+| `ruview-forecast-core` | Backend-neutral schemas, invariants, metrics, forecast receipts, and the `Forecaster` trait | No Burn, CUDA, WGPU, provider SDK, sensing-server, or network dependency |
+| `ruview-forecast-model` | Independent Burn 0.21 patch-mixer architecture and artifact execution | CPU, CUDA, and WGPU are explicit optional features; every backend feature is off by default |
+| `ruview-forecast-train` | Dataset manifests/splits, trainer, evaluator, the `ruforecast` CLI, and Linux/fal.ai training assets | Training-only authority; no production activation or sensing-server mutation |
+
+This PR does not connect the forecaster to the sensing server. A shadow bridge
+requires a follow-up change after the core contract and evidence receipt have
+stabilized. Landing crates or passing synthetic tests therefore creates no
+live RuView forecasting capability.
+
+Version one activates only the exact reviewed `tiny_ci` and `large_linux`
+architecture profiles. The model and training boundaries enforce checked
+dimension, parameter, activation-cell, input-cell, and forward multiply-add
+limits per batch. Adding or changing a profile is therefore a reviewed code and
+artifact-schema decision, not untrusted request configuration.
+
+The proposed logical pipeline is:
+
+```text
+authenticated RF observations
+        |
+        v
+versioned one-second feature windows
+        |
+        +----> split-scoped RuVector analogue retrieval (optional)
+        |
+        v
+independent Rust temporal model
+        |
+        v
+point forecast + ordered quantiles + validity mask + abstention
+        |
+        v
+signed derived-evidence record
+        |
+        +----> RuView policy/evidence engine
+        +----> RuVLLM explanation with no numeric mutation authority
+```
+
+The initial feature contract should favour compact one-second summaries rather
+than feeding an unbounded raw CSI stream. Candidate fields include motion
+energy, Doppler summary, amplitude/phase dispersion, coherence, RSSI, packet
+loss, channel utilization, current detector confidence, device temperature,
+and source-validity masks. Each field needs a schema version, physical unit,
+aggregation rule, validity semantics, and provenance. Adding a field is a
+schema change, not an implicit positional extension.
+
+The model may independently combine normalization, temporal patch encoding,
+temporal mixing, cross-stream fusion, and quantile heads. This is a functional
+design space, not permission to reproduce protected source expression,
+checkpoint dimensions, constants, tests, diagrams, or API choices. Exact
+architecture and parameter count remain implementation decisions recorded in
+the model card and training receipt.
+
+## Forecast contract
+
+For each request the runtime returns one typed result, including abstention and
+error paths. The result must identify:
+
+- input schema, feature-window, model, configuration, and calibration digests;
+- source time range, requested horizon, cadence, target streams, and masks;
+- point estimate and declared quantiles for each target/horizon cell;
+- whether quantiles were corrected for crossing and which method was used;
+- OOD, insufficient-context, stale-input, and non-finite dispositions;
+- optional RuVector index version, neighbour identifiers, distances, and
+  leakage-scope receipt;
+- runtime platform class, duration, and peak-memory measurement when enabled;
+- evidence label `DERIVED_FORECAST`, never `MEASURED_OBSERVATION`;
+- deterministic content hash and optional RVF signature.
+
+The runtime rejects non-finite values, duplicate or non-monotonic timestamps,
+unsupported schema versions, unbounded dimensions, invalid quantile requests,
+future covariates without an allowed source, and payloads above configured
+limits. It abstains rather than imputing an authoritative state when history or
+validity coverage is below the model-card threshold.
+
+## RuVector integration
+
+RuVector supplies temporal memory, not ground truth. During training and
+evaluation, each split has a separate index built only from records permitted
+for that split. A test query may retrieve training analogues, but it may never
+retrieve a window from the same subject/session/site holdout, an overlapping
+target horizon, or any test record. Fitted normalizers and retrieval thresholds
+come from training data only.
+
+Every release reports three comparable rows on identical examples:
+
+1. deterministic/statistical baseline;
+2. forecasting model without retrieval;
+3. forecasting model with RuVector retrieval.
+
+This prevents retrieval from hiding a weak model or leaking future state.
+
+## RuVLLM and action authority
+
+RuVLLM consumes an immutable, signed forecast record and may produce an
+explanation referencing its uncertainty and provenance. Its prose is not the
+forecast and receives no higher evidence grade. Numeric values exposed to APIs
+come from the forecasting record, not regenerated text.
+
+No forecast or LLM explanation independently triggers a health alert, emergency
+response, access decision, actuator, firmware change, model promotion, or
+commercial spend. Such actions require a separate governed policy, explicit
+capability, and appropriate observed evidence.
+
+## Training and artifact boundary
+
+Training jobs run from a pinned container or reproducible local environment.
+The receipt binds the source commit, lockfile, compiler, container, datasets,
+transforms, architecture, hyperparameters, seeds, hardware, provider job ID,
+start/end time, and every emitted checkpoint. Hosted workers receive only the
+least data and credentials necessary. Provider caches, logs, retention, and
+reuse rights must pass security and data review before customer-derived data is
+uploaded.
+
+A release artifact is immutable and hash addressed. It is loaded locally after
+signature, schema, size, and compatibility verification. The inference process
+does not fetch models, execute embedded code, accept arbitrary operators, or
+contact the training provider.
+
+## Leakage and evaluation protocol
+
+- Split by deployment/site first, then subject, session, device, and contiguous
+  time block as applicable. No overlapping raw sequence or derived window may
+  cross a split.
+- Freeze test manifests before tuning. A failed test result does not become a
+  new training target; material architecture changes require a new untouched
+  holdout.
+- Fit normalization, calibration, feature selection, thresholds, and RuVector
+  index parameters on training/validation data only.
+- Report missingness, abstention coverage, selective risk, per-horizon errors,
+  interval coverage, quantile loss, and results by site/device/interference
+  regime. Pooled performance cannot hide a failed domain.
+- Compare against last value, seasonal naive, and at least one small classical
+  or recurrent baseline. TimesFM 3 output is not an acceptance oracle.
+- Forecast evaluation does not prove presence, pose, fall, respiration, or
+  medical accuracy. Any downstream claim requires its own labelled protocol.
+
+## Acceptance gates and requirement mapping
+
+Targets below are release criteria, not current results.
+
+| Gate | Requirements | Pass condition | Current state |
+|---|---|---|---|
+| G0 independent-authoring boundary | RF-001, RF-002 | Approved source allowlist; 100% current contributor attestations; zero restricted artifacts or outputs; all similarity findings adjudicated by the clean-room custodian. | **OPEN / UNMEASURED** |
+| G1 data and lineage | RF-002, RF-003, RF-010 | 100% of training/evaluation bytes resolve to approved manifests; zero unknown, noncommercial, research-only, no-ML, or no-derivatives sources; checkpoint lineage reaches approved random initialization; local/hosted receipts bind identical governed inputs. | **OPEN / UNMEASURED** |
+| G2 bounded Rust contract | RF-004, RF-005, RF-006 | Unit/property/fuzz tests cover dimensions, non-finite values, timestamp order, masks, quantile order, stale/OOD/insufficient context, deterministic hashes, offline loading, evidence labels, and resource caps; 24-hour accelerated replay has no panic or unbounded growth. | **OPEN / UNMEASURED** |
+| G3 leakage-free model evidence | RF-007, RF-008, RF-011 | Frozen site/session/device-disjoint report; all baseline and ablation rows present; nominal 80% interval coverage target is 75%-85%; weighted quantile loss target is at least 10% better than seasonal naive; every metric has a reproducer. | **OPEN / TARGETS UNMEASURED** |
+| G4 RuView shadow value | RF-006, RF-007, RF-008, RF-009 | At least 14 days shadow-only; empty-room false-alert target is at least 50% relative reduction without more than 2 percentage points occupied-room recall loss; no safety-critical action authority; drift and abstention reported by deployment. | **OPEN / TARGETS UNMEASURED** |
+| G5 deployment fitness | RF-004, RF-009, RF-010, RF-011, RF-012 | CPU p95 target is at most 1 second for 32 declared streams with peak process memory at most 4 GiB; signed model card/SBOM/provenance; privacy, security, trademark, dataset, and patent reviews; rollback drill; no open severity 1/2 issue. | **OPEN / TARGETS UNMEASURED** |
+
+Failure at any gate keeps the model offline or shadow-only. Passing a software
+gate is not real-hardware evidence and does not convert an accuracy target into
+a measurement.
+
+## Rollout and rollback
+
+The only permitted progression is:
+
+```text
+OFF -> OFFLINE_EVAL -> SHADOW -> ADVISORY
+```
+
+This ADR does not authorize autonomous action. Each transition records actor,
+old/new mode, artifact and configuration digests, evidence report, and reason.
+Regression, provenance failure, calibration drift, security incident, or
+licensing uncertainty returns immediately to `OFF` or `SHADOW` while observed
+RuView sensing continues unchanged.
+
+Rollback deactivates the forecast artifact atomically, clears ephemeral model
+and retrieval state, preserves signed aggregate evidence and incident records,
+and never downgrades or rewrites the raw observation stream.
+
+## Security and privacy
+
+Forecasting can infer routines from occupancy and movement even without raw
+CSI. Feature windows, neighbour identifiers, forecasts, and explanations are
+therefore deployment data subject to purpose limitation, tenant isolation,
+retention, deletion, access control, and audit.
+
+Model artifacts, feature schemas, calibration, indexes, and manifests are
+untrusted until their signature and digest verify. Cardinality, dimensions,
+horizon, context, allocations, execution time, and concurrent requests are
+bounded. Metrics use allowlisted aggregate values and exclude raw CSI, precise
+room coordinates, persistent person identifiers, and unrestricted feature
+payloads.
+
+The detailed authoring, data, AI-tool, incident, trademark, and patent controls
+are normative in
+[`../security/ruview-forecast-clean-room.md`](../security/ruview-forecast-clean-room.md).
+
+## Consequences
+
+### Positive
+
+- RuView gains a provider-neutral predictive evidence primitive with explicit
+  uncertainty and abstention.
+- Rust-native inference can be evaluated on CPU without requiring a Python or
+  cloud runtime in production.
+- RuVector retrieval becomes a measurable ablation rather than an implicit
+  memory claim.
+- Signed provenance supports reproducible Linux and hosted training.
+
+### Negative
+
+- Independent training needs substantial diverse, correctly licensed temporal
+  data and untouched deployment holdouts.
+- Strict source separation and manifests increase contributor and review cost.
+- A plausible forecast can make weak sensing look more authoritative unless
+  downstream evidence labels remain intact.
+- Clean-room development does not remove patent, trademark, privacy, or dataset
+  risk.
+
+### Neutral
+
+- This ADR does not repair an inaccurate upstream presence or pose estimator.
+- It does not approve TimesFM 3 for RuView use.
+- It does not select a final model size, training budget, or hosted provider.
+- No production checkpoint or measured benchmark is created by this decision.
+
+## References
+
+- [TimesFM 3 public research article](https://research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/)
+- [Google TimesFM repository and source-license notice](https://github.com/google-research/timesfm)
+- [TimesFM 3 checkpoint license](https://huggingface.co/google/timesfm-3.0-pytorch/blob/main/LICENSE)
+- [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)
+- [17 U.S.C. section 102](https://www.copyright.gov/title17/92chap1.html)
+- [USPTO Patent Public Search](https://www.uspto.gov/patents/search/patent-public-search)
+- [USPTO comprehensive trademark clearance](https://www.uspto.gov/trademarks/search/comprehensive-clearance-search-similar-trademarks)
+- [RuView Forecast clean-room protocol](../security/ruview-forecast-clean-room.md)
+- [RuView Forecast model-card template](../huggingface/RUVIEW_FORECAST_MODEL_CARD_TEMPLATE.md)
+- [ADR-145](./ADR-145-ablation-eval-harness-privacy-leakage.md)
+- [ADR-282](./ADR-282-ruview-ecosystem-positioning.md)
+- [ADR-295](./ADR-295-source-provenance-state-machine.md)
+- [ADR-298](./ADR-298-model-release-sanity-gates.md)
+- [ADR-302](./ADR-302-out-of-distribution-detection.md)
+- [ADR-304](./ADR-304-evidence-engine.md)
+- [ADR-317](./ADR-317-benchmark-multi-domain-scorecard.md)
+- [ADR-318](./ADR-318-capability-certificates.md)
+- [ADR-319](./ADR-319-witness-chain.md)

docs/adr/ADR-349-governed-local-and-fal-forecast-training.md

@@ -0,0 +1,231 @@
+# ADR-349: Governed local and fal.ai forecast training
+
+- **Status**: Proposed
+- **Date**: 2026-09-01
+- **Deciders**: ruv
+- **Owners**: RuView forecast training, security, and release maintainers
+- **Tags**: forecasting, training, fal, rust, receipts, idempotency, cost-control
+- **Parent**: ADR-348
+- **Extends**: ADR-010, ADR-145, ADR-298, ADR-319, ADR-348
+- **Supersedes**: None
+
+## Decision
+
+RuView Forecast will use one Rust training engine behind two deliberately
+different request boundaries. The local Linux request may bind a governed,
+hash-addressed RuView JSONL shard. Hosted v1 accepts only a bounded,
+deterministic synthetic generator recipe. It cannot serialize a local
+`TrainSpec`, `DataPolicy`, path, dataset bytes, tenant/account/workspace/site/
+device/session identity, split receipt, or RuVector namespace.
+
+The fal.ai path is a bounded execution adapter, not a remote shell. It may
+train the fixed synthetic profile and export fixed artifact kinds, but it may
+not choose an arbitrary command, executable, container, URL, environment
+variable, output path, or release action. A later real-data hosted path needs a
+new accepted ADR, provider/privacy review, and an operator-signed export grant;
+it is intentionally not implemented here.
+
+Every hosted result is untrusted and quarantined until it is exported with a
+complete receipt, downloaded through the authenticated provider channel,
+re-hashed locally, scanned, and bound to the original request. Only the local
+release boundary may sign or activate it. Signing keys never enter fal.ai.
+
+This ADR delegates dataset rights, clean-room evidence, model-card, patent,
+trademark, and production gates to [ADR-348](./ADR-348-independent-rust-multivariate-forecasting.md)
+and the [clean-room protocol](../security/ruview-forecast-clean-room.md).
+
+**Evidence status:** typed local and hosted configuration, root-confined file
+verification, atomic fixed-kind artifact publication, and cooperative
+cancellation source surfaces exist. End-to-end local training and mock hosted
+transport are software-testable in this change. Real fal.ai execution,
+provider cancellation, cost reconciliation, quarantine promotion, and local
+signature verification remain **UNMEASURED and unapproved** until their named
+acceptance evidence exists.
+
+## Context
+
+The same training engine needs to run on a 128 GiB Linux workstation and on an
+optional hosted accelerator without creating two architecture lineages. A
+generic remote-command interface would allow request data to become executable
+authority, make cost difficult to bound, and weaken cancellation. Sending a
+general local request to fal would also expose governance and customer
+identifiers that the hosted smoke path does not need.
+
+The initial `ruview-forecast-train` crate already separates three relevant
+modules:
+
+| Module | Current contract |
+|---|---|
+| [`config.rs`](../../v2/crates/ruview-forecast-train/src/config.rs) | `TrainingRequest`, `ValidatedTrainingRequest`, bounded `JobId`, root-relative dataset path, exact size/SHA-256, named model profiles, typed CPU/CUDA choice, and bounded optimizer values; unknown fields are denied |
+| [`artifact.rs`](../../v2/crates/ruview-forecast-train/src/artifact.rs) | verified open dataset handle, root confinement, fixed `Model`/`Manifest`/`Receipt`/`Checkpoint` kinds, atomic writes, content descriptors, and conflict-on-different-bytes idempotency |
+| [`cancel.rs`](../../v2/crates/ruview-forecast-train/src/cancel.rs) | `Cancellation`, `CancelToken`, and cooperative cancellation checks for batch/checkpoint boundaries |
+
+The training crate features keep `cli`, `server`, `fal-client`, `cpu`, and
+`cuda` explicit, with default features empty. WGPU remains a model-crate
+inference backend and is not advertised as a training runner. The `ruforecast`
+binary requires the `cli` feature. Source presence is not execution evidence.
+
+## Typed execution contracts
+
+The non-serializable trusted `TrainingRequest` is built locally from a
+size-bounded `LocalTrainingRequestWire`. It contains:
+
+- stable job identity;
+- a constructor-validated local split/horizon/normalization `TrainSpec`;
+- either a root-relative dataset identity with exact byte count and SHA-256,
+  or a deterministic synthetic recipe;
+- one allowlisted model capacity profile and compiled-in local backend;
+- bounded optimizer, checkpoint cadence, seed, memory, step, time, checkpoint,
+  and artifact budgets.
+
+Local JSON and TOML deny unknown fields. Dataset paths resolve below an
+operator-configured root, and the exact regular file remains open after
+size/hash verification to avoid replacement between validation and use. JSONL
+windows are decoded incrementally with per-line and per-window caps rather
+than loading the full shard into memory.
+
+The distinct `HostedSyntheticRequestV1` contains only a schema version,
+idempotency/request digests, a fixed model profile, deterministic generator
+parameters and seed, bounded optimizer/resource caps, and public build
+identities. Its constructor needs a non-serializable core governance authority
+proving that the synthetic recipe is the approved hosted source. Hosted v1 has
+no external dataset field.
+
+Neither request contains a shell string, argument vector, executable path,
+container/image selector, package installer, arbitrary URL, callback URL,
+environment map, secret, source fragment, or unrestricted output name.
+
+The local client maps `HostedSyntheticRequestV1` to one allowlisted,
+process-configured fal app and pre-deployed content-addressed worker image. The
+caller cannot override the app, machine, worker entry point, or artifact
+destination. The endpoint returns typed status or artifact descriptors only.
+Provider paths are derived from validated job identity and fixed artifact
+kinds, then downloaded through the authenticated fal Platform Files API; they
+are not accepted as remote URLs or local paths.
+
+The deploy wrapper builds from an allowlisted `git archive`, selects the exact
+`fal_app.py::run_server` symbol, and passes `--auth private` for both `fal run`
+and `fal deploy`; ephemeral Fal runs otherwise default to public. Hosted v1
+retains only bounded synthetic request/result metadata so its typed queue result
+can be reconciled. It sets `X-Fal-No-Retry: 1` and a bounded timeout rather than
+claiming that `X-Fal-Store-IO: 0` or an unverified lifecycle header protects
+the result. A live unauthenticated 401/403 probe and provider retention/deletion
+reconciliation remain blocking operational evidence.
+
+## Idempotency and cost authority
+
+The local effective idempotency identity is:
+
+```text
+job_id + canonical request digest + source commit + lockfile digest
++ container digest + dataset/split digest + initial-weight digest
+```
+
+Hosted v1 replaces `dataset/split digest` with the canonical synthetic-recipe
+digest. No local governance identifier is part of, or derivable from, the
+hosted payload.
+
+Repeating an identical completed request returns the existing verified receipt
+and descriptors. Reusing `job_id` with any different governed input fails as a
+conflict. A retry after an ambiguous network failure must first query the same
+provider job; it must not silently create a second billable run.
+
+Before hosted submission, the caller sets explicit maximum steps, wall-clock
+time, memory, checkpoint count, export bytes, and billable units. Submission
+also requires an explicit local spend-approval record bound to the request
+digest and maximum units. The adapter rejects a request when its configured
+cap exceeds that approval. The final receipt records estimated and actual
+provider units/cost when the provider supplies them, the price source/time,
+and whether the amount is final or provider-reported. A provider estimate is
+`CLAIMED`, never `MEASURED`, until reconciled against a bill.
+
+No automatic retry may increase the approved budget. Budget changes create a
+new signed authorization record. The initial wire carries operator ceilings
+for wall time, billable seconds, and micro-USD, but it does not yet bind a
+provider price quote or reconcile a final provider ledger. Monetary enforcement
+therefore remains an operator/Fal-account control and the production hosted
+spend gate stays open.
+
+## Cancellation and checkpoints
+
+Cancellation is cooperative and idempotent:
+
+1. Local signal or authenticated hosted cancel marks one `job_id` cancelled.
+2. Training checks `Cancellation` at every batch boundary and before/after each
+   checkpoint/export boundary.
+3. A cancellation checkpoint is committed atomically when safe and within the
+   artifact budget; a partial file never becomes a valid artifact.
+4. The terminal receipt records `cancelled`, the last completed epoch/step,
+   checkpoint digest, provider state, elapsed resource units, and final known
+   cost.
+5. Repeating cancel returns the same terminal state.
+
+Cancellation does not promise immediate GPU termination. Cancellation latency,
+checkpoint durability, and residual provider billing are **UNMEASURED** until a
+real fal.ai run supplies a receipt. A timeout or lost cancellation response
+keeps the job and any output quarantined.
+
+## Export, quarantine, and local signing
+
+The worker may emit only the fixed artifact set from `ArtifactKind`:
+
+| Kind | Required purpose |
+|---|---|
+| `Model` | Burn model record bytes |
+| `Manifest` | architecture, data/split, seed, build, and clean-room identity |
+| `Receipt` | request, environment, metrics, cost, status, and export lineage |
+| `Checkpoint` | final or cancellation-time model weights; v1 does not claim optimizer/cursor resume |
+
+Every descriptor includes kind, size, and SHA-256. Export acceptance requires
+all mandatory descriptors, bounded lengths, exact hashes, the expected job and
+request digest, no duplicate kind, and a terminal status consistent with the
+artifact set.
+
+Downloaded files enter a non-executable quarantine outside the model search
+path. Local verification repeats envelope/schema/size/hash checks, SBOM and
+malware/policy scans, clean-room declarations, dataset/split lineage, metric
+labels, and parent-checkpoint validation. No provider output may update a
+symlink, current-model pointer, RuVector index, sensing server, or release tag.
+
+After quarantine passes, an authorized local signer binds the exact export
+receipt and artifact digests to an `ArtifactReceipt` and release manifest. The
+signature records algorithm, public key ID, signer capability, and time. Fal.ai
+receives no private signing material and cannot promote its own output. The
+current core supplies canonical digests and receipts, not a complete release
+signature implementation; signature-backed activation remains open.
+
+## Requirements and acceptance
+
+| ID | Requirement | ADR-348 gate | Acceptance evidence | Current state |
+|---|---|---|---|---|
+| FT-001 | Local and hosted adapters invoke the same model/trainer implementation while using intentionally separate local-data and hosted-synthetic request schemas. | G1 | Shared-engine tests plus hosted DTO exclusion and recipe-digest binding tests | **OPEN / UNMEASURED** |
+| FT-002 | No request field or endpoint can select arbitrary code, command, image, URL, environment, or output path. | G2 | Schema negatives, endpoint capability test, dependency review | **OPEN / UNMEASURED** |
+| FT-003 | Job/request idempotency prevents duplicate execution and conflicts on changed governed input. | G1, G5 | Concurrent/retry/lost-response tests with provider job query | **OPEN / UNMEASURED** |
+| FT-004 | Hosted execution has explicit non-escalating resource and monetary caps with estimated/actual cost receipts. | G5 | Over-budget rejection and reconciled provider-bill fixture plus real-run receipt | **OPEN / UNMEASURED** |
+| FT-005 | Cancellation is authenticated, cooperative, idempotent, checkpoint-safe, and terminally receipted. | G2, G5 | Local property tests and a real hosted cancellation drill | **OPEN / UNMEASURED** |
+| FT-006 | Export is fixed-kind, bounded, complete, hash-verified, and bound to request/job/environment. | G1, G2 | Missing/duplicate/truncated/tampered export tests | **OPEN / UNMEASURED** |
+| FT-007 | Hosted outputs remain quarantined until local verification and local-only signing succeed. | G1, G5 | Promotion-denial tests, signing-key absence check, rollback drill | **OPEN / UNMEASURED** |
+| FT-008 | Hosted v1 receives synthetic inputs only; provider credentials, logs, retention, region, output reuse, and deletion satisfy ADR-348 privacy/security approval before any real run. | G1, G5 | Hosted DTO exclusion tests, provider review, and deletion/export receipts | **OPEN / UNMEASURED** |
+
+No successful unit test closes a hosted gate. G5 requires one bounded real
+fal.ai run, one cancellation drill, one ambiguous-retry/idempotency drill, cost
+reconciliation, quarantine rejection of a tampered export, and local signature
+verification over the accepted artifact. Until then fal.ai support is a typed
+software surface, not an operational capability claim.
+
+## Consequences
+
+The design gives local and hosted training one auditable lineage and keeps
+provider output below local release authority. It adds receipt, budget,
+quarantine, and signing work, and cooperative cancellation may still incur
+provider cost. If a hosted provider cannot support bounded idempotent status,
+export, cancellation, and deletion, the Linux path remains the only approved
+training environment.
+
+## References
+
+- [ADR-348](./ADR-348-independent-rust-multivariate-forecasting.md)
+- [RuView Forecast clean-room protocol](../security/ruview-forecast-clean-room.md)
+- [`ruview-forecast-train` manifest](../../v2/crates/ruview-forecast-train/Cargo.toml)
+- [`ruview-forecast-core` receipts](../../v2/crates/ruview-forecast-core/src/receipt.rs)
+- [`ruview-forecast-model` public artifact boundary](../../v2/crates/ruview-forecast-model/src/lib.rs)

docs/adr/ADR-350-ruvector-predictive-memory-and-ruvllm-boundary.md

@@ -0,0 +1,217 @@
+# ADR-350: RuVector predictive memory and RuVLLM authority boundary
+
+- **Status**: Proposed
+- **Date**: 2026-09-01
+- **Deciders**: ruv
+- **Owners**: RuView forecast, RuVector, evidence, and RuVLLM integration maintainers
+- **Tags**: forecasting, ruvector, ruvllm, retrieval, memory, receipts, authority
+- **Parent**: ADR-348
+- **Extends**: ADR-004, ADR-010, ADR-016, ADR-145, ADR-261, ADR-295,
+  ADR-304, ADR-319, ADR-348
+- **Supersedes**: None
+
+## Decision
+
+RuVector may augment RuView Forecast by retrieving analogous historical
+feature/forecast states from a tenant- and split-scoped predictive-memory
+index. Retrieval is optional context, never ground truth. Every release must
+report the same frozen examples with retrieval disabled and enabled so its
+incremental value and leakage risk remain visible.
+
+Each forecast is published in an immutable, locally signed envelope binding the
+model artifact, request, output, source evidence, and retrieval receipt. RuVLLM
+may read that envelope to explain uncertainty and analogous history. It may not
+rewrite numeric forecasts, create a stronger evidence class, select a model,
+promote an artifact, spend money, invoke an actuator, or make medical,
+emergency, access-control, or life-safety decisions.
+
+This child ADR delegates forecasting, clean-room, data, and general production
+gates to [ADR-348](./ADR-348-independent-rust-multivariate-forecasting.md). It
+does not authorize a sensing-server bridge.
+
+**Evidence status:** canonical forecast/receipt types and an indexable latent
+state exist in source. A RuVector adapter, retrieval receipt, signature wrapper,
+outcome reconciler, RuVLLM explanation adapter, paired retrieval evaluation,
+latency, storage cost, accuracy lift, and operational value are all
+**UNMEASURED and unapproved**.
+
+## Existing implementation boundary
+
+The current crates establish only the preconditions:
+
+| Module | Implemented surface used by this ADR |
+|---|---|
+| [`ruview-forecast-core/src/forecast.rs`](../../v2/crates/ruview-forecast-core/src/forecast.rs) | validated `ForecastRequest`, backend-neutral `Forecaster`, ordered finite `Forecast`, canonical output digest, and receipt verification |
+| [`ruview-forecast-core/src/receipt.rs`](../../v2/crates/ruview-forecast-core/src/receipt.rs) | `SourceState`, `ArtifactReceipt`, and `ForecastReceipt`; derived forecasts cannot retain `MEASURED` merely because measured input existed |
+| [`ruview-forecast-core/src/series.rs`](../../v2/crates/ruview-forecast-core/src/series.rs) | bounded feature schema, masked time series, canonical series digest, and training-only scaler fit |
+| [`ruview-forecast-model/src/network.rs`](../../v2/crates/ruview-forecast-model/src/network.rs) | `ForecastModelOutput.state` with shape `[batch, variates, d_model]`, intended as a bounded representation candidate for indexing |
+
+`ForecastReceipt` is content-addressed but not itself a digital signature.
+`ForecastModelOutput.state` is indexable but not automatically safe, private,
+stable across model versions, or useful. Those distinctions remain release
+gates.
+
+## Predictive-memory record
+
+RuVector stores a versioned `PredictiveMemoryRecord` containing:
+
+- tenant and index namespace;
+- model/artifact/config/feature-schema digests;
+- source series and forecast-request digests;
+- split, site, subject-class, session, device, calibration, and bounded time
+  scope using pseudonymous identifiers;
+- bounded latent-state or engineered-feature digest plus the approved vector;
+- forecast envelope digest and horizon;
+- observed validity mask and evidence class;
+- optional reconciled outcome digest added only after the forecast horizon;
+- retention/deletion class and creation/expiry time.
+
+Raw CSI, unrestricted feature windows, precise room coordinates, persistent
+person identity, RuVLLM prompts, and explanation prose are excluded by default.
+The vector is still potentially sensitive because it can encode routines or
+location. Tenant isolation, encryption, access control, retention, deletion,
+and membership-inference review apply.
+
+An outcome is appended through a new immutable record linked to the original;
+the historical forecast is never rewritten. Outcome reconciliation can measure
+forecast quality but cannot retroactively turn the forecast into a measured
+observation.
+
+## Split-scoped analogue retrieval
+
+Every index is bound to an immutable corpus manifest, model version, feature
+schema, preprocessing configuration, and split policy. These rules are
+mandatory:
+
+1. Tenants never share an index or query result without a separately authorized
+   privacy-preserving federation protocol.
+2. Training, validation, calibration, and test records have distinct
+   namespaces. A test query may retrieve approved training analogues only; it
+   may not retrieve test examples or validation/calibration records used to set
+   thresholds.
+3. The same site, subject, session, device, calibration episode, overlapping
+   context, or overlapping target horizon is excluded when that dimension is a
+   holdout.
+4. Index construction, distance metric, normalization, filter policy, `k`, and
+   score threshold are fitted on training data and frozen before test.
+5. Missing, stale, mismatched, unauthorized, or unverifiable indexes disable
+   retrieval and return the no-retrieval forecast or abstention according to
+   the model card. They never trigger an implicit global-index fallback.
+6. Every query returns a bounded `RetrievalReceipt` even when zero neighbours
+   qualify.
+
+The retrieval receipt binds query digest, index/corpus/policy digests,
+namespace, exclusion filter, neighbour record IDs and distances, `k`, latency,
+and disposition. It excludes raw neighbour payloads from ordinary logs.
+
+## Paired ablation
+
+Retrieval has no deployment authority without a paired evaluation on identical
+frozen requests:
+
+| Row | Model and examples | Retrieval |
+|---|---|---|
+| A | exact candidate artifact and frozen examples | disabled |
+| B | exact candidate artifact and frozen examples | enabled with frozen index/policy |
+
+The report includes weighted quantile loss, interval coverage/width,
+abstention, per-horizon error, per-site/device/interference slices, retrieval
+hit/filtered/empty rates, latency, and memory/storage overhead. It reports both
+aggregate and paired deltas with uncertainty. A gain on pooled error cannot
+hide a failed deployment domain, calibration regression, or neighbour leakage.
+
+The no-retrieval row remains a supported fallback. Retrieval is removed when
+its lower confidence bound does not show useful improvement, when it weakens
+calibration beyond the ADR-348 gate, or when its privacy/latency/storage cost
+exceeds its measured value. No uplift is claimed today.
+
+## Immutable signed forecast envelope
+
+The signed envelope covers:
+
+```text
+envelope schema/version
++ ArtifactReceipt canonical digest
++ ForecastRequest canonical digest
++ Forecast payload/output digest
++ ForecastReceipt canonical digest
++ RetrievalReceipt digest or explicit retrieval-disabled marker
++ policy/calibration/index digests
++ creation/expiry time and tenant namespace
+```
+
+Signing occurs at the trusted local boundary after artifact and retrieval
+verification. The wrapper records algorithm, public key ID, signer capability,
+and signature. Private keys never enter model artifacts, RuVector, RuVLLM, or a
+hosted training worker.
+
+Consumers verify signature, expiry, tenant, schemas, every nested digest, and
+the `Forecast::verify_receipt` invariant before using numeric values. Any
+failure yields unavailable/abstain. Unsigned content-addressed receipts remain
+useful for local tests but are not described as signed and cannot cross the
+production trust boundary.
+
+## RuVLLM explanation boundary
+
+RuVLLM receives a read-only projection of the verified envelope:
+
+- exact point and quantile values as structured fields;
+- units, horizons, calibration/OOD/abstention state;
+- bounded analogue summaries and retrieval receipt references;
+- evidence labels, model/version, and envelope digest;
+- approved explanation policy and audience.
+
+Explanation prose is stored separately and linked to the envelope digest. It
+is `CLAIMED_EXPLANATION`, not a replacement forecast. Numeric API fields are
+copied from the verified envelope after generation, never parsed back from LLM
+text. If prose contradicts a structured number, evidence state, unit, or
+disposition, the response fails validation and the numeric envelope remains
+authoritative.
+
+The explanation capability exposes no tools for artifact activation, model
+promotion, retraining, spending, messaging, emergency dispatch, access control,
+or actuation. A separate downstream policy may consume a forecast only under
+its own ADR, capabilities, approvals, and observed-evidence requirements. The
+LLM cannot grant itself that authority or lower an approval threshold.
+
+## Requirements and acceptance
+
+| ID | Requirement | ADR-348 gate | Acceptance evidence | Current state |
+|---|---|---|---|---|
+| PM-001 | Every predictive-memory query is tenant-, model-, schema-, corpus-, split-, and time-scope bound. | G3, G5 | Cross-tenant/split/version negative tests and signed index manifest | **OPEN / UNMEASURED** |
+| PM-002 | Holdout identities, overlapping contexts, and target horizons cannot appear as neighbours. | G3 | Property tests plus frozen leakage report | **OPEN / UNMEASURED** |
+| PM-003 | Every query, including disabled/empty/error, produces a bounded retrieval receipt. | G2, G3 | Receipt round-trip, tamper, bound, and zero-result tests | **OPEN / UNMEASURED** |
+| PM-004 | Retrieval-disabled and retrieval-enabled rows use identical artifact/examples and report paired metrics and overhead. | G3 | Frozen paired ablation with reproducer | **OPEN / UNMEASURED** |
+| PM-005 | Forecast envelope signatures bind all nested forecast/retrieval identities and fail closed on mutation, expiry, tenant, or key error. | G2, G5 | Signature/tamper/replay/cross-tenant tests and local signing receipt | **OPEN / UNMEASURED** |
+| PM-006 | Derived forecast and explanation can never become `MEASURED_OBSERVATION` or exceed source evidence. | G2, G4 | Evidence-monotonicity schema/property tests | **OPEN / UNMEASURED** |
+| PM-007 | RuVLLM cannot mutate structured numbers; contradictions fail validation and explanations remain separately labelled. | G4 | Numeric/unit/evidence mutation corpus and fail-closed integration tests | **OPEN / UNMEASURED** |
+| PM-008 | RuVLLM explanation has no spending, promotion, messaging, safety, access-control, or actuator capability. | G4, G5 | Default-deny capability and attempted-escalation tests | **OPEN / UNMEASURED** |
+| PM-009 | Vector/explanation privacy, retention, deletion, extraction, and membership risks are approved and operationally tested. | G5 | Privacy review, tenant deletion drill, and access audit | **OPEN / UNMEASURED** |
+
+G3 additionally requires the paired retrieval ablation to satisfy ADR-348's
+forecast and calibration gates. G4 requires shadow evidence that retrieval and
+explanation improve operator comprehension or forecast value without changing
+numeric/action authority. G5 requires signed-envelope verification, rollback,
+tenant deletion, and key-rotation drills. None has passed.
+
+## Consequences
+
+RuVector can evolve from retrospective search into outcome-linked predictive
+memory while preserving a measurable no-retrieval baseline. RuVLLM can make
+forecasts understandable without becoming the numeric or action authority. The
+cost is additional index isolation, storage, signature, deletion, evaluation,
+and policy complexity. If paired evidence does not justify that cost, the
+correct release keeps retrieval and explanation disabled.
+
+## References
+
+- [ADR-348](./ADR-348-independent-rust-multivariate-forecasting.md)
+- [ADR-349](./ADR-349-governed-local-and-fal-forecast-training.md)
+- [RuView Forecast clean-room protocol](../security/ruview-forecast-clean-room.md)
+- [RuView Forecast model-card template](../huggingface/RUVIEW_FORECAST_MODEL_CARD_TEMPLATE.md)
+- [RuForecast benchmark protocol](../benchmarks/ruforecast.md)
+- [ADR-016](./ADR-016-ruvector-integration.md)
+- [ADR-145](./ADR-145-ablation-eval-harness-privacy-leakage.md)
+- [ADR-261](./ADR-261-ruvector-graph-ann-index.md)
+- [ADR-304](./ADR-304-evidence-engine.md)
+- [ADR-319](./ADR-319-witness-chain.md)

docs/adr/ADR-353-fal-visual-teacher-lora.md

@@ -0,0 +1,162 @@
+# ADR-353: fal.ai synthetic visual teacher LoRA
+
+- **Status**: Accepted
+- **Date**: 2026-09-02
+- **Deciders**: ruv
+- **Owners**: RuView visualization / neural-styling maintainers
+- **Tags**: fal, lora, synthetic-visualization, display-only, cost-control
+- **Parent**: None
+- **Extends**: None
+- **Supersedes**: None
+
+## Decision
+
+RuView will use one real, fal.ai-trained LoRA fine-tune (a "synthetic visual
+teacher") to steer fal.ai image/video generation toward a consistent
+"RuView-style" room visualization — glowing pose overlays, WiFi signal arcs,
+vitals readout panels, dark tech aesthetic — instead of relying on ad hoc
+prompt engineering against a stock model.
+
+**The architecture boundary is non-negotiable:**
+
+> The implementation boundary is now clear: fal.ai will train an optional
+> synthetic visual teacher, while RuView's measured RF, pose, vitals,
+> identity, and confidence remain local and authoritative.
+
+Concretely:
+
+- The trained model produced here is ONLY ever allowed to generate
+  supplementary synthetic visual/pixel output for display or broadcast.
+- It must NEVER be a source of, or influence, any measured/derived value: RF/
+  CSI measurements, pose estimates, vitals (heart rate/breathing rate),
+  identity, or confidence/quality scores. Those stay local, deterministic,
+  and authoritative — the existing `wifi-densepose-engine` /
+  `ruview-twin` / `ruview-witness` stack — completely untouched by this work.
+- Any output this model produces must be clearly framed as SYNTHETIC per this
+  repo's rule: "Never present WiFi sensing as camera-grade."
+- This model has no read or write path into the RF/pose/vitals/identity
+  pipeline. It consumes only a text prompt (and optionally a reference
+  image) and returns pixels for display.
+
+**Evidence status:** the training data extraction, training submission
+script, and validation script are real and committed. The training run
+completed and validation succeeded — trained model id, actual spend, and the
+validation sample are recorded in "Result" below. Actual-vs-billed cost
+reconciliation against the fal.ai account dashboard remains UNMEASURED (the
+figure below is a documented-pricing estimate).
+
+## Context
+
+A concurrent workstream (`ruview-fal-room-viz` / `ruview-room-viz-h3-upgrade`)
+generated real fal.ai room-visualization videos across several style presets
+(architectural, abstract, branded, and an "h3" refresh: architectural,
+cinematic, minimal, abstract) using stock fal.ai video models driven by
+prompt engineering alone. A separate concurrently-running agent
+("realtime-dual-renderer") is building a neural-styling layer that needs a
+*specific* trained model id to call, rather than continuing to rely on prompt
+engineering against a generic model.
+
+This ADR's job is narrow: turn the real captured style presets into a real
+trained fal.ai LoRA, verify it actually works, and hand off the model id. It
+does not implement the renderer integration — that is
+`realtime-dual-renderer`'s scope — and it does not touch the measured
+RF/pose/vitals/identity/confidence pipeline in any way.
+
+## Training data
+
+Source: the real fal.ai-generated room-visualization MP4s already captured
+this session (read from `/tmp/room-viz-*/room-viz.mp4` on `ruvultra`, one per
+style preset — not committed to the repo; the repo has no camera or person
+data in these clips, they are synthetic renders). `scripts/fal-visual-teacher/extract_frames.py`
+extracts one JPEG frame every 1.5 seconds from each of the 7 real style-preset
+videos (architectural, abstract, branded, h3-architectural, h3-cinematic,
+h3-minimal, h3-abstract), producing 27 frames total, each paired with a
+caption `.txt` describing the shared RuView visual motifs. Frames and the
+training zip are gitignored (`scripts/fal-visual-teacher/training-data/`,
+`training-data.zip`) — they are regenerable from the source MP4s and are not
+committed, consistent with the repo's no-generated-artifacts rule.
+
+## Training endpoint and pricing (verified 2026-09-02)
+
+- **Endpoint**: `fal-ai/flux-lora-fast-training` — a real, currently-listed
+  fal.ai LoRA training endpoint for FLUX.1, verified against
+  `https://fal.ai/models/fal-ai/flux-lora-fast-training/api`.
+- **Pricing**: $2 per training run at the default 1000 steps, scaling
+  linearly with steps (verified against fal.ai's own pricing text on the
+  model page).
+- **Mode**: submitted with `is_style: true` (style LoRA, not
+  subject/character LoRA) and explicit per-frame caption files, so fal.ai's
+  auto-captioning/segmentation is skipped in favor of our own captions.
+- **Inference endpoint** (validation only): `fal-ai/flux-lora`, $0.035 per
+  megapixel, accepting `loras: [{ path, scale }]` pointing at the trained
+  `diffusers_lora_file` URL.
+
+## Budget
+
+- **Original cap**: $15 total (this task's cap only; not shared with other
+  concurrent tasks' budgets this session).
+- **Raised cap**: the user explicitly raised this task's cap to **$100** on
+  2026-09-02, mid-run, as real headroom for a larger/better run or retries —
+  not an instruction to spend all of it.
+- **Planned spend**: ~$2 for the training run (1000 steps, default) + ~$0.04
+  per validation inference image.
+- **Actual spend**: ~$2.04 (one 1000-step training run at $2/run + one
+  landscape_16_9 validation image at $0.035/megapixel, rounded up to 1
+  megapixel). This is a documented-pricing estimate (`CLAIMED`), not yet
+  reconciled against the fal.ai account billing dashboard (`MEASURED`).
+  Comfortably under both the original $15 cap and the raised $100 cap.
+- **Why no larger follow-up run**: the first validation image already showed
+  a clean, on-style result (glowing pose overlay, WiFi arcs, vitals panels,
+  dark aesthetic, all present and legible) on the first attempt. Spending
+  further into the raised budget for marginal improvement was judged not
+  worth it against a result that already meets the bar; the fallback path in
+  "Consequences" was not needed.
+
+## Result
+
+- **Trained model id / LoRA weights URL**:
+  `https://v3b.fal.media/files/b/0aa8c60d/OjaBs6Gi8pMhZqMo79iym_pytorch_lora_weights.safetensors`
+  (131 MB `diffusers_lora_file`, paired `config.json` at
+  `https://v3b.fal.media/files/b/0aa8c60d/-GU6dd_2ZFqq18I0CuPOB_config.json`).
+  Use with `fal-ai/flux-lora` (or any fal.ai FLUX.1 endpoint accepting a
+  `loras: [{ path, scale }]` array) — trigger word `ruviewstyle`. Full
+  training record: `scripts/fal-visual-teacher/output/training-result.json`
+  (gitignored — regenerate by re-running `train_lora.py`, or copy the URL
+  above).
+- **Training request id**: `01a060b2-c940-7972-abf9-ea48847eb2ae` (fal.ai
+  `fal-ai/flux-lora-fast-training`, 1000 steps, `is_style: true`, 27 training
+  images, completed in 376s on an H100/H200 worker).
+- **Actual spend**: ~$2.04 (see Budget above).
+- **Validation sample**: `assets/fal-visual-teacher-sample.png` (+ sibling
+  `assets/fal-visual-teacher-sample.json` with the exact prompt, LoRA scale
+  1.0, and source fal.ai URL) — a real `fal-ai/flux-lora` inference call
+  using the trained LoRA, generated 2026-09-02. The image shows a glowing
+  cyan pose skeleton, WiFi signal arcs, vitals-style readout panels, and a
+  HUD-style TV overlay in a dark living room — confirming the LoRA learned
+  and reproduces the intended RuView visual motifs.
+- **Consumer**: `realtime-dual-renderer` (separate worktree
+  `~/projects/ruview-worktrees/realtime-render`) — notified directly with the
+  model id above.
+
+## Consequences
+
+A real trained LoRA gives the display layer a specific, repeatable style
+target instead of prompt engineering against a stock model, at a bounded and
+small real cost ($2 training + cents per generated image). Because the model
+only ever produces pixels for a prompt, and has no schema path into any
+measured/derived RuView value, it cannot silently become a second source of
+truth for pose, vitals, identity, or confidence — that boundary is structural
+(no shared types, no shared data path), not just documented convention.
+
+If the trained LoRA does not meaningfully improve style consistency over the
+stock model (a genuine risk with 27 training images and default steps), the
+fallback is to keep using prompt engineering against the stock model and note
+that outcome honestly here rather than claim a training win that isn't real.
+
+## References
+
+- `scripts/fal-visual-teacher/extract_frames.py` — real frame extraction
+- `scripts/fal-visual-teacher/train_lora.py` — real training submission
+- `scripts/fal-visual-teacher/validate.py` — real validation inference
+- [fal.ai Flux LoRA Fast Training](https://fal.ai/models/fal-ai/flux-lora-fast-training)
+- [fal.ai FLUX.1 with LoRAs (inference)](https://fal.ai/models/fal-ai/flux-lora)

docs/adr/ADR-354-forecast-governance-enforcement-in-ruforecast-submodule.md

@@ -0,0 +1,89 @@
+# ADR-354: fal.ai forecast governance and spend enforcement now real, in the vendored RuForecast submodule
+
+- **Status**: Accepted
+- **Date**: 2026-09-02
+- **Deciders**: ruv
+- **Owners**: RuView forecast training, security, and release maintainers
+- **Tags**: forecasting, training, fal, governance, submodule, cost-control
+- **Parent**: ADR-349
+- **Extends**: ADR-348, ADR-349
+- **Supersedes**: None
+
+## Decision
+
+ADR-349 specified two governance controls for RuView Forecast's fal.ai
+hosted path: operator-verified dataset/schema/policy/recipe authorization,
+and an explicit local spend-approval record bound to the request digest and
+maximum units. A 9-agent code review of the training stack merged as PR
+#1766 found that neither control was actually wired into the code path that
+builds a submittable, fal-destined training contract — `FalGovernanceVerifier`
+existed with zero callers outside its own tests, and no spend-approval type
+existed anywhere in the codebase.
+
+That code no longer lives directly in this repository. Between the review
+and this fix, `v2/crates/ruview-forecast-{core,model,train}` was extracted
+into its own repository, `github.com/ruvnet/RuForecast`, and is now vendored
+back into `v2/crates/ruforecast` as a git submodule (crates renamed to
+`ruforecast-{core,model,train}`). This ADR records two things at the RuView
+level:
+
+1. **The governance and spend-approval gaps are fixed**, in
+   `ruvnet/RuForecast` PR #2 (branch `fix/governance-and-spend-enforcement`).
+   The full technical decision record — what changed, why, and the
+   requirements/acceptance table — lives in that repository's own
+   [ADR-350](https://github.com/ruvnet/RuForecast/blob/main/docs/adr/ADR-350-fal-governance-and-spend-enforcement.md),
+   which this ADR defers to rather than duplicating. In summary: a
+   fal-destined `TrainSpec` can no longer be constructed without a real,
+   operator-signed, single-use-verified governance receipt; a hosted
+   reservation can no longer be built without a real, operator-signed spend
+   approval bound to the exact request digest and cost ceiling; and several
+   related correctness/resilience gaps on the same trust boundary
+   (unauthenticated Direct Server webhook, no execution timeout, mismatched
+   local/hosted artifact budgets, cancellation permanently wedging a job)
+   were fixed in the same pass.
+2. **The submodule pointer in this repository is bumped** to the commit
+   containing that fix, once `ruvnet/RuForecast`'s own CI is green on that
+   PR and it merges. This RuView-side change is deliberately small: a
+   pointer bump plus this ADR, not a re-implementation or re-review of code
+   that now lives, is tested, and is reviewed in its own repository.
+
+## Context
+
+RuView's own copies of ADR-348 and ADR-349 predate the extraction and still
+describe the crates as if they lived directly under `v2/crates/`. They are
+left as-is here (not corrected path-by-path) since the canonical, actively
+maintained copies of the forecast-specific ADRs now live in
+`ruvnet/RuForecast`'s own `docs/adr/`, which was seeded with copies of
+ADR-348/349 at extraction time and now also carries ADR-350. Consult that
+repository for the forecast subsystem's own decision history going forward;
+this repository's ADR series should record RuView-level integration
+decisions about the vendored submodule (like this one), not attempt to
+re-host the submodule's internal history.
+
+This repo's CLAUDE.md requires an ADR for load-bearing upstream changes.
+The governance-enforcement fix is load-bearing for RuView even though none
+of its source lines are: it changes what RuView's vendored forecast
+subsystem actually requires before it will reach real, billable fal.ai
+infrastructure on behalf of a RuView deployment.
+
+## Consequences
+
+Once the submodule pointer here is bumped, any RuView-side code, CLI
+wrapper, or documentation that assumes the old, unenforced fal.ai
+submission path (a bare `SourceState::synthetic` claim with no verified
+governance receipt or spend approval) will no longer compile or run against
+the vendored crate — `TrainSpec::new_fal_synthetic` and
+`ReservedSyntheticSubmission::reserve` both gained new required parameters.
+A repository-wide search found no such RuView-side caller today; this ADR
+records the change in case one is added later without checking the
+submodule's current API first.
+
+This pointer bump must not merge before `ruvnet/RuForecast` PR #2 merges and
+its CI is green — see that PR for status.
+
+## References
+
+- [ADR-349](./ADR-349-governed-local-and-fal-forecast-training.md) (this repository's copy; canonical copy is in `ruvnet/RuForecast`)
+- [ruvnet/RuForecast PR #2](https://github.com/ruvnet/RuForecast/pull/2)
+- [ruvnet/RuForecast ADR-350](https://github.com/ruvnet/RuForecast/blob/main/docs/adr/ADR-350-fal-governance-and-spend-enforcement.md)
+- [`v2/crates/ruforecast`](../../v2/crates/ruforecast) (submodule)