feat(rufield): CsiReplayAdapter — first real WiFi-CSI adapter (submodule bump) (#1068)

Bumps vendor/rufield to include CsiReplayAdapter: RuField now ingests real
captured WiFi CSI (.csi.jsonl) → FieldTensor → CSI-variance motion/presence
proxy → signed FieldEvents → fusion. Measured on 199 real frames: 182 fused
inferences (115 breathing, 67 person_present) from real signal. Replay-from-file,
unlabeled (proxy not validated accuracy) — live streaming + labeled accuracy
remain roadmap; mmWave/thermal stay synthetic.

Co-authored-by: ruv <ruvnet@gmail.com>

Author: ruvnet

CHANGELOG.md

@@ -8,6 +8,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ## [Unreleased]
 
 ### Added
+- **RuField `CsiReplayAdapter` — first real (non-synthetic) WiFi-CSI adapter (ADR-260 §17).** RuField now ingests **real captured WiFi CSI** instead of only the synthetic simulator. New `rufield-adapters::csi_replay` parses RuView's `.csi.jsonl` recording format (`{timestamp, subcarriers[]}`), normalizes each frame to a `FieldTensor` (`WifiCsi`, real amplitudes + real `timestamp_ns`), establishes a per-subcarrier Welford **empty-room baseline** via `calibrate()`, derives a **physically-grounded CSI-variance motion/presence proxy** (normalized MAD vs baseline → P2 motion/presence, else P1), and emits `FieldEvent`s with a **real sha256 + ed25519 provenance receipt** (`synthetic=false`). **Measured on 199 real captured frames:** 184 presence-proxy / 69 motion-proxy → fed through `RuFieldFusion` → **182 fused inferences (115 breathing, 67 person_present) from real signal.** 12 tests (9 unit + 3 integration over real-CSI fixtures), deterministic (byte-identical stream per file). **Honest caveats (stated everywhere):** it's **replay from file, not live hardware**; recordings are **unlabeled**, so the motion/presence output is a **proxy, NOT validated accuracy** (no pose, no accuracy numbers); live streaming + labeled validation remain roadmap; mmWave/thermal stay synthetic. The win is "RuField ingests real WiFi CSI and produces fused events from it." [`ruvnet/rufield`](https://github.com/ruvnet/rufield) `crates/rufield-adapters`; `vendor/rufield` submodule bumped.
 - **RuField `rufield-viewer` web dashboard — completes ADR-260 §27.9 (all §27 criteria 1–10 now PASS).** A read-only Axum + vanilla-JS dashboard (no build step — `cargo run -p rufield-viewer`) that streams the deterministic SyntheticSim→fusion camera-free room-intelligence demo: live room-state inferences with confidence, a scrolling event log where every event carries its modality + a colour-coded **P0–P5 privacy badge**, the fusion graph (supporting=green / contradicting=red per inference), and a click-to-open **provenance-receipt modal** (sha256 + ed25519 signer + verified ✓ / fusable ✓) — behind a permanent, undismissable `SYNTHETIC — simulated sensors, no hardware` banner. Endpoints `/` · `/app.js` · `/health` · `/api/run` (full deterministic JSON) · `/events` (SSE). 12 new tests. Honest scope: a read-only SYNTHETIC demo viewer, **not** a device-management console — fleet/real-adapter management is a separate later milestone. Lives in [`ruvnet/rufield`](https://github.com/ruvnet/rufield) (`crates/rufield-viewer`, repo now 7 crates / 72 tests); `vendor/rufield` submodule bumped to include it.
 - **ADR-261: RuVector graph-ANN index — a real HNSW baseline + a SymphonyQG-style quantized variant, MEASURED (honest negative).** Closes the [ADR-156 §5 #1](docs/adr/ADR-156-ruvector-fusion-beyond-sota.md) gap: the SymphonyQG (SIGMOD 2025) **3.5–17× QPS-over-HNSW** claim was CLAIMED-only because **no HNSW baseline existed to compare against**. This adds one. New pure-Rust, `--no-default-features`-buildable modules in `wifi-densepose-ruvector`: `hnsw.rs` (a correct float HNSW — Malkov & Yashunin: multi-layer NSW graph, `ef_construction`/`ef_search`, Algorithm-4 neighbour selection, **seeded-deterministic** level assignment via SplitMix64, L2 + cosine, full degenerate-case guards), `hnsw_quantized.rs` (the SymphonyQG-style variant — the **same** graph traversed by a cheap **1-bit Hamming** score over the RaBitQ Pass-2 rotated sign code, then **exact-float rerank**), `ann_measure.rs` + `benches/ann_bench.rs` (one shared deterministic planted-cluster fixture; the `ann_bench_report` test is the source of truth). **MEASURED (dim=128, N=10k, K=10, `--release`):** float HNSW = **~25× QPS over linear scan at recall ≥0.99** (the baseline this gap needed; recall@10 correctness gate ≥0.95 holds, L2 + cosine). **Honest negative:** the 1-bit quantized traversal is **too coarse to beat float HNSW at equal recall at this scale** — its best recall is **0.738**, never reaching the ≥0.90 equal-recall point, so there is **no QPS win** over float HNSW; the 3.5–17× is **not reproduced** by our 1-bit construction here. The recall gate also **caught a real index-out-of-bounds bug** in the insert path (disclosed in ADR-261 §4). Caveat: this is **our** HNSW + **our** 1-bit quant, not SymphonyQG's exact system — it tests the *direction* of the claim, with the expected crossover at large N + a multi-bit traversal code. **We did not tune to manufacture a speedup.** +20 tests (ruvector lib 131→151, 0 failed). ADR-156 §5 #1 / §8 backlog: CLAIMED → **MEASURED-direction-tested**. Python deterministic proof unchanged (off the signal proof path).
 - **ADR-261 Milestone-2: multi-bit quantized HNSW traversal + large-N scaling study — MEASURED (honest negative).** Extends ADR-261's quantized index from 1-bit to **`b`-bit-per-dimension** (`b ∈ {1,2,4}`, 16/32/64 B/node) over the Pass-2 rotated coordinates, and runs a deterministic scaling study (N ∈ {10k, 100k, 250k}) to test M1's *prediction* of a large-N crossover. **Result: no crossover at any measured (N, b), and the trend refutes the prediction.** At N=10k more bits lift the equal-recall QPS ratio (0.19×→0.46×→0.48×) and let b≥2 reach the 0.90 recall bar 1-bit missed — but quant stays slower than float HNSW at equal recall; at N=100k/250k quant recall *collapses* (b=4: 1.000→0.788→0.624, never ≥0.90) while float holds ≥0.92 (denser graph → low-bit codes can't separate near-neighbours, beam goes off-path faster than the float-distance saving repays). Caveat: our HNSW + our per-node multi-bit code, not SymphonyQG's RaBitQ-fused graph — refutes the *direction* at ≤250k, not their million-scale numbers. ruvector lib **151→156** (+5 tests; `scaling_report` `#[ignore]` produced the table). A published negative with the mechanism explained. ADR-261 §11.

CLAUDE.md

@@ -22,7 +22,7 @@ Dual codebase: Python v1 (`v1/`) and Rust port (`v2/`).
 | `wifi-densepose-vitals` | ESP32 CSI-grade vital sign extraction (ADR-021) |
 | `nvsim` | Deterministic NV-diamond magnetometer pipeline simulator (ADR-089) — standalone leaf, WASM-ready |
 | `vendor/rvcsi` (submodule) | **rvCSI** — edge RF sensing runtime (ADR-095/096): 9 crates (`rvcsi-core`/`-dsp`/`-events`/`-adapter-file`/`-adapter-nexmon`/`-ruvector`/`-runtime`/`-node`/`-cli`). Lives in its own repo ([github.com/ruvnet/rvcsi](https://github.com/ruvnet/rvcsi)), vendored here under `vendor/rvcsi`, published to crates.io as `rvcsi-* 0.3.x` and to npm as `@ruv/rvcsi`. Not a `v2/` workspace member — depend on the published crates (or the submodule's `crates/rvcsi-*` paths). Normalized `CsiFrame`/`CsiWindow`/`CsiEvent` schema, validate-before-FFI, reusable DSP, typed confidence-scored events, the napi-c Nexmon shim (real nexmon_csi `.pcap` from a Raspberry Pi 5 / 4 / 3B+ — BCM43455c0), the napi-rs SDK, the `rvcsi` CLI, a Claude Code plugin. |
-| `vendor/rufield` (submodule) | **RuField MFS** — the open spec for camera-free multimodal field sensing (ADR-260). A common `FieldEvent`/`FieldTensor`/`FusionGraph`/`PrivacyClass`/`ProvenanceReceipt` model *above* WiFi CSI/CIR/BFLD, UWB, BLE Channel Sounding, mmWave radar, ultrasound, subsonic, infrared, and quantum sensors. Lives in its own repo ([github.com/ruvnet/rufield](https://github.com/ruvnet/rufield)), vendored here under `vendor/rufield`. Not a `v2/` workspace member. v0.1 reference stack = 7 crates (`rufield-core`/`-provenance`/`-privacy`/`-adapters`/`-fusion`/`-bench`/`-viewer`), 72 tests/0 failed; `rufield-viewer` is an Axum + vanilla-JS read-only dashboard (`cargo run -p rufield-viewer`) completing ADR-260 §27.9. All benchmark metrics are **SYNTHETIC** (simulator ground truth, no hardware — real adapters are roadmap). |
+| `vendor/rufield` (submodule) | **RuField MFS** — the open spec for camera-free multimodal field sensing (ADR-260). A common `FieldEvent`/`FieldTensor`/`FusionGraph`/`PrivacyClass`/`ProvenanceReceipt` model *above* WiFi CSI/CIR/BFLD, UWB, BLE Channel Sounding, mmWave radar, ultrasound, subsonic, infrared, and quantum sensors. Lives in its own repo ([github.com/ruvnet/rufield](https://github.com/ruvnet/rufield)), vendored here under `vendor/rufield`. Not a `v2/` workspace member. v0.1 reference stack = 7 crates (`rufield-core`/`-provenance`/`-privacy`/`-adapters`/`-fusion`/`-bench`/`-viewer`), 72 tests/0 failed; `rufield-viewer` is an Axum + vanilla-JS read-only dashboard (`cargo run -p rufield-viewer`) completing ADR-260 §27.9. The WiFi-CSI modality is now **real-replay-backed** via `CsiReplayAdapter` (ingests real captured `.csi.jsonl` → fused presence/breathing inferences; replay-from-file, unlabeled CSI-variance proxy, not validated accuracy); mmWave/thermal + all synthetic-bench F1 numbers remain **SYNTHETIC** (no live hardware — live streaming + labeled accuracy are roadmap). |
 | `ruview-swarm` | Drone swarm control system (ADR-148) — hierarchical-mesh topology, Raft consensus, MARL, CSI sensing payload, MAVLink/PX4 compat, Ruflo AI-agent integration |
 
 ### RuvSense Modules (`signal/src/ruvsense/`)