github ruvnet/RuView v1069
Release v1069

latest releases: v1136, v1133, v1115...
5 hours ago

Automated release from CI pipeline

Changes:
research(R3): cross-room re-ID — MERIDIAN closes the env-shift gap + 4 privacy constraints (#715)

Synthesis of AETHER (ADR-024) + MERIDIAN (ADR-027) + privacy framing

  • identified next research lever (physics-informed env prediction).

Simulation results (10 subjects, 3 rooms, 128-dim embeddings, env/person
scale ratio 4.7x):

Configuration 1-shot acc
Within-room (matches AETHER ~95% target) 100%
Cross-room, raw cosine K-NN 70%
Cross-room, MERIDIAN 100% env removal 100%
Cross-room, MERIDIAN 70% env removal 100%
Chance 10%

The 30 pp gap from within-room to raw cross-room is the angular
contribution of env-shift that cosine similarity can't normalise away.
MERIDIAN per-room centroid subtraction recovers it -- robust even at
70% effectiveness (realistic for limited labelled examples).

Privacy framing: R14 baseline + 4 new constraints specific to
biometric-class re-ID data:

  1. No cross-installation linkage
  2. Embedding storage requires explicit opt-in (biometric consent class)
  3. Cryptographically verifiable forgetting
  4. No re-ID across legal entities

These rule out cross-building tracking, mass surveillance, long-term
unlabelled storage, third-party sharing. They allow per-installation
personalisation, household anomaly detection, multi-person pose
association in the same room.

R3 closes the loop on R14's empathic-appliance vision: re-ID is THE
primitive that makes per-occupant features possible. Without R3,
R14's verticals can't ship.

Identifies next research lever: physics-informed env_sig prediction
from R6's forward operator + room map = zero-shot cross-room transfer
without labelled examples in the new room.

Composes:

  • R5/R6: person+env decomposition in embedding space
  • R7: mincut = defence against re-ID spoofing
  • R9: RSSI K-NN showed env-locality dominance for the K-NN primitive
  • R14: 4 new constraints extend R14's framework to biometric class

Honest scope: additive decomposition is first-order; real CSI env
effects are multiplicative in subcarrier domain. Adversarial scenarios
not simulated.

Coordination: ticks/tick-12.md, no PROGRESS.md edit.

Docker Image:
ghcr.io/ruvnet/RuView:db64b4c671c6e67335df3fc91dc99cc2b899e7a3

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