feat(ruview-unified): unified RF spatial world model P1 (ADR-273..278)

One shared representation instead of another isolated RF classifier: new
v2 leaf crate ruview-unified implementing all five ADR-273 pillars, plus
six ADRs with measured, grade-labeled results.

- Canonical RfTensor + fail-closed hardware adapter registry (802.11 CSI
  via wifi-densepose-core::CsiFrame, FMCW radar cubes, UWB CIR, 5G SRS);
  shared layout/gain/phase normalization proven by tests (ADR-274).
- Universal RF foundation encoder: CFO-aligned, median-scaled tokenizer;
  masked-reconstruction pretraining with hand-derived backprop verified
  against central finite differences (max rel err 1.31e-5 over all 12
  parameter groups); fusion contract z = Enc ⊙ σ(AgeEnc) + GeomEnc;
  task adapters under the 1% budget (129/268/387/2 params vs 40,856
  backbone), enforced by test.
- RF-aware Gaussian spatial memory: anisotropic primitives with per-band
  reflectivity, confidence-weighted fusion, decay, spatial-hash/semantic
  queries, closed-form Beer-Lambert channel gain (exact Friis on empty
  map), inverse gain updates (unseen 6.1 dB wall learned to <0.5 dB in
  20 observations), task-gated scene graph (ADR-275).
- Physics-guided synthetic RF worlds: image-method multipath (order ≤2),
  complex-permittivity Fresnel materials, emergent Doppler proven against
  the analytic phase rate, seeded ChaCha20 randomization of physics and
  hardware nuisances; byte-deterministic per seed (ADR-276).
- Edge sensing control plane: 802.11bf/ETSI-ISAC-aligned purposes/zones,
  fail-closed authorization, double-gated identity, retention bounds;
  BoundedEvent-only trust boundary makes raw RF export unrepresentable
  (ADR-277). Radar inverse rendering stays a gated research program
  (ADR-278, no code by design).

Anti-leakage acceptance pipeline (strict splits by room/day/person/
chipset/firmware/layout with independent disjointness verification):
presence F1 1.00 on held-out rooms and held-out chipset, degradation
0.0, ECE 0.012, p95 latency 2.0 ms debug / 105 µs release — ALL
SYNTHETIC until P2 real-data validation.

Benchmarks + optimization pass: channel_gain 139→27 µs (O(1) in map
size via segment-corridor AABB sweep), observe_link 305→74 µs, DFT
twiddle plan 4.9x; hash/linear crossover (~4k Gaussians) reported
honestly.

Tests: ruview-unified 66 unit + 3 acceptance, 0 failed; workspace
3,771 passed 0 failed (--exclude wifi-densepose-desktop: GTK headers
unavailable in this container). Python proof: VERDICT PASS. Also
gitignore sensing-server test-run artifacts (incl. generated
session-secret).

Co-Authored-By: claude-flow <ruv@ruv.net>
Claude-Session: https://claude.ai/code/session_01Q1R5zhz6sSfXGRXpgBwpFX

CHANGELOG.md

@@ -7,6 +7,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+### Added
+- **`ruview-unified` — unified RF spatial world model, P1 (ADR-273..278).** New v2 workspace leaf crate implementing the five-pillar architecture: (1) canonical `RfTensor` (`links × 56 bins × 8 snapshots`, complex, validated at the boundary) plus a fail-closed hardware adapter registry with reference adapters for 802.11 CSI (consumes `wifi-densepose-core::CsiFrame`), FMCW radar cubes (fast-time DFT), UWB CIR, and 5G SRS (comb de-interleave); (2) a universal RF foundation encoder — window-median + CFO-aligned tokenizer, masked-reconstruction pretraining with a hand-derived backward pass verified against central finite differences (174 params sampled, max rel err 1.31e-5), the ADR-273 fusion contract `z = Enc(CSI) ⊙ σ(AgeEnc) + GeomEnc(pose)`, and ≤1% task adapters (presence 129 / activity 268 / localization 387 / anomaly 2 vs a 40,856-param backbone); (3) an RF-aware Gaussian spatial memory — anisotropic primitives with per-band×angle reflectivity, confidence-weighted fusion, exponential decay, spatial-hash + semantic queries, closed-form (erf) Beer–Lambert channel-gain queries that degrade to exact Friis on an empty map, inverse gain updates that learn an unseen 6 dB obstruction to <0.5 dB in 20 link observations, and a JITOMA-style task-gated scene graph; (4) a physics-guided synthetic RF world generator — Allen–Berkley image method (order ≤2), complex-permittivity Fresnel materials, bistatic person scattering with *emergent* Doppler (proven against the analytic phase rate), seeded ChaCha20 domain randomization of physics + hardware nuisances (gain/CFO/phase noise/packet loss/interference); (5) an edge sensing control plane — 802.11bf/ETSI-ISAC-aligned purposes and zones, fail-closed authorization, a double-gated identity purpose, retention bounds, and a `BoundedEvent`-only trust boundary that makes raw RF export unrepresentable. Anti-leakage evaluation (`StrictSplit` by room/day/person/chipset/firmware/layout with an independent disjointness verifier, ECE, selective risk, degradation) plus an end-to-end acceptance pipeline: presence F1 1.00 on held-out rooms *and* held-out chipset, degradation 0.0, ECE 0.012, p95 tokenize+encode 2.0 ms debug / 105 µs release — **all SYNTHETIC** (honest labeling propagates from `RfModality::Synthetic` through `Provenance.synthetic`). Criterion benches with an optimization pass: segment-corridor candidate search took `channel_gain` from 139 µs → 27 µs (O(1) in map size; hash/linear crossover at ~4k Gaussians reported honestly), `observe_link` 305 µs → 74 µs, precomputed DFT twiddles 4.9×. 66 unit + 3 acceptance tests, 0 failed.
+
 ### Changed
 - **`wifi-densepose` promoted to `2.0.0` stable; `ruview` `2.0.0` prepared for its first stable publish (ADR-184 P2).** Dropped the `a1` alpha suffix on both sibling packages (`python/pyproject.toml`, `python/ruview-meta/pyproject.toml`) and flipped their trove classifier `Development Status :: 3 - Alpha` → `5 - Production/Stable`; the `ruview` meta-package's `wifi-densepose==2.0.0a1` dependency pins (base + `[client]`) were repointed to `==2.0.0`. **Version-metadata prep only — nothing is published by this change**: the actual PyPI upload remains gated on the ADR-117 v2 witness hash. Justified as "stable": the default (no-extras) wheel builds at 279 KB (`maturin build --release --strip`) and the base non-SOTA suite is green — `pytest python/tests/` (excluding the `[aether]`/`[meridian]`/`[mat]` extra modules) = **185 passed, 0 failed** (smoke / keypoint / pose / vitals / bfld / security / WS+MQTT client).
 - **CI (ADR-184): `pip-release.yml` keeps token-based PyPI authentication until Trusted Publishing is registered.** An OIDC migration was attempted in `cc153e8b5` and reverted in `82d5c7339` so releases would not enter a half-configured state. Production currently uses `PYPI_API_TOKEN`; TestPyPI uses its independent `TESTPYPI_API_TOKEN`. The workflow now builds and publishes `wifi-densepose` and `ruview` together, verifies their versions and dependency pin match, and fails closed before production upload when `expected_features_v2.sha256` is absent.