Files
turboquant_plus/docs/papers
450deaaad6 docs: six surgical edits — sharpen framing, no new content
1. Section 7.1: generality as attention mechanism property
2. Section 3.3: explicit no-retraining/no-calibration block
3. Section 4.6: tighter server vs benchmark framing
4. Section 4.7: threshold as redundancy boundary
5. Section 9: attention-aware class without overclaim
6. Section 6: eliminate vs optimize contrast

Co-Authored-By: tturney@psyguard.ai
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-27 08:14:56 -05:00
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