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feat(ruview-gamma): RuVector self-learning layer (ADR-250 §10 items 3-6)

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New ruvector module: anonymized ProfileStore (one-way SHA-256 hashed tags,
safe-session scores only), deterministic exact kNN, cohort warm-start (a new
person's optimizer seeded from the k nearest responders as down-weighted GP
pseudo-observations), physiological drift detection (Welford centroid with
stimulus-input fields masked out of the distance), and deterministic k-means
response clustering.

Honesty guarantees, asserted in tests: cohort priors carry >=25x the
real-observation noise, are excluded from the EI incumbent, the audit log,
and the clinician report — borrowed expectations never masquerade as this
person's measured response. The GP gains per-observation noise; the real
path is arithmetically unchanged (pinned witness 13cb164c... preserved).

Governor wiring: seed_from_cohort, export_anonymized_profile, per-session
drift_status. Integration tests: cohort warm-start beats the cold 40 Hz
prior for a detuned subject; collapsed physiology flags Drifted.

Crate: 75 tests + 1 doctest. Workspace gate: 2,876 passed, 0 failed.
Benches: kNN/500 profiles ~15us, warm-start ~16us; no regression on
existing paths (recommend ~15us, calibration sweep ~111us).

https://claude.ai/code/session_01MjBucx95K4BuUxZi8NWwRH
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docs/adr/ADR-250-adaptive-gamma-entrainment.md
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@@ -188,6 +188,7 @@ outcomes; consumer deployment is safe without screening; 40 Hz is always optimal
| M4 EEG validation (contract) | `response.rs` (`EegMeasurement`), `objective.rs` | **Optional input implemented** |
| M5 Adaptive optimizer | `optimizer.rs` (Phase 1+2), `bandit.rs` (Phase 3), closed-loop | **Implemented** |
| M6 Trial mode | `ruflo.rs` (consent, inclusion/exclusion, sham, audit, session hash) | **Implemented** |
| §10 RuVector self-learning | `ruvector.rs` (anonymized `ProfileStore`, deterministic kNN, cohort warm-start priors via down-weighted GP pseudo-observations, physiological drift detection, deterministic clustering) | **Implemented** |
The crate is a **deterministic, dependency-light leaf** (no internal RuView
deps, ChaCha20 PRNG, SHA-256 witness — same discipline as `nvsim`), so the