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fix(adr): resolve duplicate ADR numbers + close ADR-080 security + ADR-154 M1 signal backlog (#1051)

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* fix(signal): circular phase variance for ghost-tap guard (ADR-154 §7.4 #1)

`phase_variance` computed a LINEAR sample variance over phase angles that
wrap at ±π, so a tightly-clustered set straddling the branch cut reported
spuriously HIGH dispersion — false-tripping the `> TAU` ghost-tap guard on
real, tightly-clustered CIR taps.

Replace with Mardia's circular variance V = 1 − R̄, bounded [0,1] and
invariant to where the cluster sits on the circle. Re-derive the guard
against the bounded metric via a named const
`GHOST_TAP_CIRCULAR_VARIANCE_MAX` (the old TAU-scaled threshold is
meaningless on [0,1]).

Grade: metric fix MEASURED; threshold value DATA-GATED — a clean single-path
ramp also sweeps the circle, so V alone cannot separate clean from
unsanitized without labelled frames. Conservative default (0.99) errs toward
never false-rejecting, strictly more permissive at the wrap boundary than the
buggy linear guard.

Fails-on-old test: `phase_variance_circular_not_fooled_by_branch_cut` —
inlines the old linear variance to show it exceeds TAU on wrap-straddling
phases while circular V≈0 and the guard no longer trips. Plus
`phase_variance_circular_is_bounded_and_extremal` (V∈[0,1], V≈0 identical,
V≈1 uniform).

cargo test -p wifi-densepose-signal --no-default-features --features cir --lib
→ 432 passed, 0 failed.

Co-Authored-By: claude-flow <ruv@ruv.net>

* fix(signal): pin Welford n=0/n=1 finiteness guard (ADR-154 §7.4 #10)

The shared `WelfordStats` (field_model.rs, used by longitudinal.rs and others)
relies on `count < 2` guards in `variance`/`sample_variance`/`std_dev`/
`z_score` to stay finite at the boundaries. The guards existed but the n=0
boundary was UNTESTED — exactly the §4 divide-by-(n−1) family the ADR groups
this with.

Add `welford_finite_at_n0_and_n1` asserting every statistic is finite and
returns the documented sentinel (0.0) at n=0 and n=1, plus load-bearing doc
comments on the two guards.

Fails-on-old proof: with the `sample_variance` guard removed, the test FAILS
with "attempt to subtract with overflow" at the `(self.count - 1)` underflow
(0usize − 1); `variance` would similarly yield 0.0/0.0 = NaN. The guard is
restored; the test pins it so a future regression is caught.

Grade: MEASURED (boundary finiteness is asserted; the guard is the §4-family
fix made testable).

cargo test -p wifi-densepose-signal --no-default-features --lib field_model
→ 22 passed, 0 failed.

Co-Authored-By: claude-flow <ruv@ruv.net>

* refactor(signal): de-magic adversarial thresholds + boundary tests (ADR-154 §7.4 #13)

Lift the bare numeric literals buried in `check`/`check_consistency` into
named, documented module consts (FIELD_MODEL_GINI_VIOLATION=0.8,
ENERGY_RATIO_HIGH_VIOLATION=2.0, ENERGY_RATIO_LOW_VIOLATION=0.1,
CONSISTENCY_ACTIVE_FRACTION_OF_MEAN=0.1, SCORE_W_* weights). VALUES UNCHANGED —
each const equals the original literal; only names + pinning tests are new.

Grade: DATA-GATED. The operating values stay empirical (defensible values need
labelled spoofed/clean CSI — Wi-Spoof, §6.2/§7.3). The de-magicking +
characterization tests are MEASURED: `tuning_consts_unchanged_from_literals`,
`energy_ratio_high_boundary`, `energy_ratio_low_boundary`,
`field_model_gini_boundary`, `consistency_active_fraction_boundary` pin the
decision boundaries at/just-below/just-above each threshold, so a future
data-driven retune is a visible, tested change.

Fails-on-change proof: bumping ENERGY_RATIO_HIGH_VIOLATION 2.0→3.0 makes
`energy_ratio_high_boundary` FAIL (restored). Operating values explicitly
NOT changed.

cargo test -p wifi-densepose-signal --no-default-features --lib ruvsense::adversarial
→ 20 passed, 0 failed.

Co-Authored-By: claude-flow <ruv@ruv.net>

* refactor(signal): de-magic coherence drift/gate thresholds (ADR-154 §7.4 #9)

Lift the bare detection literals in `coherence.rs::classify_drift`
(DRIFT_STABLE_SCORE=0.85, DRIFT_STEP_CHANGE_MAX_STALE=10) and the
`coherence_gate.rs` Default impl (DEFAULT_ACCEPT_THRESHOLD=0.85,
DEFAULT_REJECT_THRESHOLD=0.5, DEFAULT_MAX_STALE_FRAMES=200,
DEFAULT_PREDICT_ONLY_NOISE=3.0) into named, documented consts. VALUES
UNCHANGED. The gate already exposed these via GatePolicyConfig (config seam);
this names + pins the defaults.

Grade: DATA-GATED. Operating values stay empirical (defensible Z-score
thresholds need labelled stable/drifting coherence traces). De-magicking +
boundary tests are MEASURED: `classify_drift_stable_score_boundary`,
`classify_drift_stale_count_boundary` pin the at/just-below/just-above
decisions; `drift_consts_unchanged_from_literals` /
`gate_default_consts_unchanged_from_literals` pin the values. Operating values
explicitly NOT changed.

cargo test -p wifi-densepose-signal --no-default-features --lib ruvsense::coherence
→ 40 passed, 0 failed.

Co-Authored-By: claude-flow <ruv@ruv.net>

* docs(adr-154): mark §7.4 P1 backlog cleared — Milestone-1 (#1,#10 RESOLVED; #9,#13 DATA-GATED)

Update ADR-154 §7.4 backlog rows #1, #9, #10, #13 with commit refs + grades,
the §7.4 intro count (four P1 items cleared, ~41 P2/P3 remain), the
Horizon-ledger one-liner (Milestone-1 DONE), and the §8 honest-limits #1 line
(metric now correct; threshold still DATA-GATED). Add CHANGELOG [Unreleased]
entry.

Grades: #1 RESOLVED (MEASURED metric / DATA-GATED threshold), #10 RESOLVED
(MEASURED), #9 & #13 RESOLVED-PARTIAL (DATA-GATED — de-magicked + boundary
tested, operating values unchanged).

Validation: cargo test --workspace --no-default-features → 2057 passed, 0
failed; wifi-densepose-signal lib → 442 passed (no-default + --features cir);
python archive/v1/data/proof/verify.py → VERDICT: PASS, hash f8e76f21…46f7a
UNCHANGED (CIR ghost-tap guard is not on the deterministic proof path).

Co-Authored-By: claude-flow <ruv@ruv.net>

* fix(sensing-server): stop leaking internal errors in HTTP responses (ADR-080 #2)

Six handlers in `main.rs` serialized the internal error `Display` straight
into the JSON response body, leaking server internals to any client (ADR-080
finding #2, CWE-209; reframed onto the Rust boundary by ADR-164 G11):

  - edge_registry_endpoint: a panicked spawn_blocking `JoinError`
    ("task … panicked") in a 500, and the raw upstream error in a 503
  - delete_model / delete_recording / start_recording: std::io::Error
    strings carrying OS detail / filesystem paths
  - calibration_start / calibration_stop: the FieldModel error chain

New `error_response` module: `internal_error` / `internal_error_json` /
`upstream_unavailable` log the full detail server-side only (tagged with a
correlation id) and return a generic body
(`{"error":"internal_error","correlation_id":…}`) — no `panicked`, no file
paths, no Debug chain. The correlation id lets an operator join a client
report to the exact server log line without ever shipping the detail.

Pinned by 5 error_response tests, incl. a leak-substring guard
(internal_error_body_does_not_leak_detail) verified to FAIL on the reverted
old body (returns the panic message / path / "os error"). The HOMECORE sweep
(ADR-161) covered homecore-server, not this crate.

Co-Authored-By: claude-flow <ruv@ruv.net>

* test(sensing-server): pin XFF-immunity + no-query-token (ADR-080 #1, #3)

Findings #1 (XFF-spoofing bypass) and #3 (JWT-in-URL, CWE-598) were logged
against the Python v1 API but are VERIFIED ABSENT on the current Rust
sensing-server, so they get regression tests rather than redundant fixes:

  - #1 XFF: there is no IP-based rate-limiter or IP-allowlist to bypass, and
    neither security middleware reads a forwarded header. Added
    bearer_auth::xff_header_never_affects_auth_decision (spoofed
    X-Forwarded-For never flips a 401<->200 decision) and
    host_validation::forwarded_headers_never_bypass_host_allowlist (spoofed
    X-Forwarded-Host: localhost never lets Host: evil.com past the allowlist).

  - #3 JWT-in-URL: require_bearer reads the token only from the Authorization
    header; WS handlers take no query token; the sole Query extractor
    (EdgeRegistryParams) is a non-secret refresh flag. Added
    bearer_auth::query_string_token_is_never_accepted — ?token= / ?access_token=
    in the URL never authenticates (stays 401) while the header path still 200s.
    Verified to FAIL when a query-token path is injected into require_bearer.

Co-Authored-By: claude-flow <ruv@ruv.net>

* docs(adr-080): mark P0 security findings #1-#3 RESOLVED; close ADR-164 G11

- ADR-080: Status note + per-finding closure (#1 XFF and #3 JWT-in-URL
  verified absent + regression-pinned; #2 leaked errors fixed via the
  error_response module). Records the v1-vs-Rust boundary distinction
  explicitly: v1 paths remain archived; this closure governs the shipped
  Rust sensing-server.
- ADR-164: Gap Register G11 and the Open/Gated Backlog entry marked
  RESOLVED with the fix + branch reference.
- CHANGELOG: [Unreleased] -> ### Security entry covering all three findings.

Co-Authored-By: claude-flow <ruv@ruv.net>

* docs(adr): renumber 6 displaced ADRs to resolve duplicate-number collisions (ADR-164 G1)

Resolves the 5 duplicate ADR numbers (6 displaced files) flagged by ADR-164
Gap Register item G1. Canonical keeper per number = first file committed at
that number (date tie-broken by inbound cross-reference count / parent-appendix
relationship). Displaced files renumbered to the next free numbers (166-171):

  050 keeps provisioning-tool-enhancements (5 refs vs 1)
    -> ADR-166-quality-engineering-security-hardening
  052 keeps tauri-desktop-frontend (parent ADR)
    -> ADR-167-ddd-bounded-contexts (its appendix)
  147 keeps nvidia-cosmos/OccWorld (the actual ADR, has Status header)
    -> ADR-168-benchmark-proof (proof companion, no Status)
    -> ADR-169-adam-mode-light-theme (was untracked)
  148 keeps drone-swarm-control-system (committed #862)
    -> ADR-170-yoga-mode-pose-system (was untracked)
  149 keeps public-community-leaderboard-huggingface (committed 16:47 vs 17:38)
    -> ADR-171-swarm-benchmarking-evaluation-methodology

Updates in-file `# ADR-NNN` headers and intra-file self-references (yoga-modes

* docs(adr): repoint inbound cross-references to renumbered ADRs (166-171)

Follow-up to the ADR renumbering (ADR-164 G1). Updates every inbound reference
that pointed at a displaced ADR, disambiguating shared numbers by title/slug so
only references to the DISPLACED topic move and keeper references stay put.

ADR-168 (was 147 benchmark-proof): README, CHANGELOG, user-guide,
  proof-of-capabilities, research docs 00/03 — all path/label refs updated.
ADR-169 (was 147 adam-mode) / ADR-170 (was 148 yoga-mode): docs/adr/README index.
ADR-171 (was 149 swarm-benchmarking): all ruview-swarm eval code+docs
  (Cargo.toml, evals/, eval_swarm.rs, metrics/mod/report/runner.rs), research
  doc 03 (every §-ref matched ADR-171 sections, not AetherArena), 00-system-review,
  series README, CHANGELOG, and ADR-148's forward/"open issues" pointers.
ADR-166 (was 050 quality-engineering / security-hardening): disambiguated from the
  ADR-050 provisioning KEEPER by topic. The HMAC/secure_tdm, directory-traversal,
  bind-address, and OTA-PSK-auth references in code comments
  (wifi-densepose-hardware Cargo.toml + secure_tdm.rs, sensing-server main.rs) and
  in ADR-052-tauri / ADR-167 all describe the security-hardening ADR -> ADR-166.
ADR-167 (was 052 ddd-appendix): inbound appendix references.

Index/registry updates: docs/adr/README.md, gap-analysis/census.md (rows +
header count), gap-analysis/lens-findings.md (collision table marked RESOLVED),
and ADR-164 Gap Register G1 marked RESOLVED with the full renumber map.

Keeper references deliberately untouched: all ADR-147 OccWorld code, all ADR-148
drone-swarm code/docs, all ADR-149 AetherArena refs (incl. ADR-150's SSL/resampling
refs, which ADR-150 explicitly binds to the AetherArena benchmark), ADR-050
provisioning refs, ADR-052 tauri refs. The frozen GitHub blob URLs in
docs/adr/.issue-177-body.md (pinned to an old branch) are left as historical.

Comment-only code edits; no behavior change. wifi-densepose-hardware compiles
clean; the sensing-server build's sole blocker is the pre-existing upstream
midstreamer-temporal-compare@0.2.1 registry crate, unrelated to these edits.

Co-Authored-By: claude-flow <ruv@ruv.net>
This commit is contained in:
rUv
2026-06-13 14:31:38 -04:00
committed by GitHub
parent 74ecce3218
commit 42dcf49f4d
41 changed files with 1893 additions and 192 deletions
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docs/research/ruview-beyond-sota/00-system-review.md
+3 -3
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@@ -33,11 +33,11 @@ Role mapping is normative per ADR-136 §2.1; maturity is this review's judgment
| **signal** | `wifi-densepose-signal` (incl. `ruvsense/`) | 6-stage pipeline (`ruvsense/mod.rs:9-23`), `cir.rs`, `calibration.rs`, `hampel.rs`, `fresnel.rs`, `phase_sanitizer.rs` | 473 | **Production** (unit level); live multistatic wiring **beta** | §3 below; ADR-014 Accepted, ADR-029 Proposed |
| **fusion** | `ruvsense/multistatic.rs`, `ruvsense/fusion_quality.rs`, `wifi-densepose-ruvector/src/viewpoint/` | `MultistaticFuser`, `QualityScore`, `CrossViewpointAttention`, GDI/Cramér-Rao (`viewpoint/geometry.rs`) | 20 (multistatic.rs), 3 (fusion_quality.rs), 136 (ruvector crate) | **Beta** — tested building blocks, composed only in `wifi-densepose-engine` tests | `viewpoint/mod.rs:1-30`; engine `lib.rs:317-319` |
| **world** | `homecore`, `wifi-densepose-worldgraph`, `wifi-densepose-geo`, `wifi-densepose-worldmodel` | `StateMachine`, `EventBus`, `WorldGraph` (rooms/sensors/person-tracks/semantic states), ENU geo registration | 9+11, 7, 16+1, 12+1 | **Beta** — homecore is explicit "P1 scaffold"; persistence/service dispatch deferred to P2 | `homecore/src/lib.rs:7, 24-31`; ADR-127 Proposed |
| **models** | `cog-pose-estimation`, `cog-person-count`, `wifi-densepose-nn`, `wifi-densepose-train`, `wifi-densepose-occworld-candle` | ONNX/Candle inference, training pipeline, OccWorld bridge | 7, 15, 30+1, 312, 12 | **Experimental** — no trained RF foundation encoder exists; ADR-147 benchmarked OccWorld with **random weights** | `ADR-147-benchmark-proof.md` ("random weights — pre-domain-fine-tuning baseline"); ADR-146/150 Proposed |
| **models** | `cog-pose-estimation`, `cog-person-count`, `wifi-densepose-nn`, `wifi-densepose-train`, `wifi-densepose-occworld-candle` | ONNX/Candle inference, training pipeline, OccWorld bridge | 7, 15, 30+1, 312, 12 | **Experimental** — no trained RF foundation encoder exists; ADR-147 benchmarked OccWorld with **random weights** | `ADR-168-benchmark-proof.md` ("random weights — pre-domain-fine-tuning baseline"); ADR-146/150 Proposed |
| **privacy** | `wifi-densepose-bfld` | `privacy_gate.rs`, `privacy_mode.rs` (mode registry + hash-chained attestation), `identity_risk.rs`, `signature_hasher.rs`, `embedding_ring.rs` | 369 | **Beta** — strongest-tested layer, but lib header still says "Status: P1 in progress" (`lib.rs:12`, stale vs 20 implemented modules) | ADR-118–123, 141 all Proposed |
| **store** | `homecore-recorder` | trajectory/event recording | 8+12 | **Experimental** | ADR-136 §2.1 |
| **api** | `homecore-api`, `homecore-server`, `cog-ha-matter`, `homecore-hap` | REST/WS, HA discovery, Matter, HomeKit | 7+11, 0, 63+1, 15+2 | **Experimental→Beta** (`homecore-server` has zero tests) | ADR-130/125/115 Proposed |
| **eval** | `wifi-densepose-train/src/ablation.rs`, `ruview-swarm/src/evals/` | ablation harness (ADR-145), swarm eval suite (ADR-149) | included in 312 / 115 | **Experimental** — ADR-145 self-labels "skeleton/scaffolding, mostly not yet on the live 20 Hz path" | `ablation.rs` exists; ADR-149 (swarm benchmarking) Accepted |
| **eval** | `wifi-densepose-train/src/ablation.rs`, `ruview-swarm/src/evals/` | ablation harness (ADR-145), swarm eval suite (ADR-171) | included in 312 / 115 | **Experimental** — ADR-145 self-labels "skeleton/scaffolding, mostly not yet on the live 20 Hz path" | `ablation.rs` exists; ADR-171 (swarm benchmarking, renumbered from ADR-149) Accepted |
| **observe** | `homecore-automation`, `homecore-assist` | automation engine, assistant/Ruflo bridge | 20+14, 3+20 | **Experimental** | ADR-129/133 Proposed |
| **(integration root)** | `wifi-densepose-engine` | `StreamingEngine`, `TrustedOutput`, privacy demotion, witness | 11 | **Beta** — the only crate that proves cross-role composition; not on a live I/O path | `engine/src/lib.rs:1-29, 457-751` |
| **(swarm)** | `ruview-swarm` | Raft/gossip topology, RRT-APF planning, Candle PPO MARL, CSI sensing payload, failsafe, Ruflo | 115+19 | **Experimental/simulation** — M3 needs real ESP32-S3 hardware | ADR-148:940-953 ("Overall ~98%", M3 85%) |
@@ -148,7 +148,7 @@ This is genuinely strong design. But all inputs are synthetic `MultiBandCsiFrame
| R5 | **Float nondeterminism in fusion** across thread counts could silently break the witness/replay contract once wired | Medium | High | ADR-136 §3.3 risk table (project's own assessment) |
| R6 | **Privacy bypass via unwired paths**: BFLD invariants are enforced per-module, but until the engine is the *only* route from ingest to API, a sensing-server endpoint can emit ungated state (sensing-server already has 30+ modules incl. pose/vitals APIs predating the control plane) | Medium | Critical | `sensing-server/src/` module list vs engine isolation |
| R7 | **Hardware dependence + scale**: multistatic TDMA/channel-hopping timing validated on small ESP32 sets; ADR-148 M3 explicitly blocked on real hardware; clock-quality model in engine uses a hardcoded `ClockQualityScore` (`engine/src/lib.rs:384`) | Medium | High | ADR-148:946; hardcoded 50 µs stdev |
| R8 | **ADR/doc/status drift**: 150 ADRs with near-universal "Proposed" status, stale in-source status headers (`bfld/src/lib.rs:12`), CLAUDE.md "16 ruvsense modules" vs 22 on disk, duplicate ADR numbers (two ADR-050s, two ADR-147s, two ADR-149s, ADR-052 ×2) — institutional-memory value degrades | High | Medium | `ls docs/adr/`; this review §3 |
| R8 | **ADR/doc/status drift**: 150 ADRs with near-universal "Proposed" status, stale in-source status headers (`bfld/src/lib.rs:12`), CLAUDE.md "16 ruvsense modules" vs 22 on disk, duplicate ADR numbers (two ADR-050s, two ADR-147s, two ADR-149s, ADR-052 ×2 — **now RESOLVED: displaced files renumbered to ADR-166…171 per ADR-164 G1**) — institutional-memory value degrades | High | Medium | `ls docs/adr/`; this review §3 |
| R9 | **Workspace breadth vs maintenance capacity**: 38 workspace crates + 4 vendored subtrees + Python archive + firmware; several crates have 0 tests (`homecore-server`, `nvsim-server`, `wifi-densepose-wasm`, `homecore-plugin-example`); bus factor appears to be ~1 | High | Medium | crate test-count table §2 |
| R10 | **Eval debt**: no end-to-end accuracy benchmark on real CSI with ground truth exists in-repo (ADR-145 harness is scaffolding; ADR-079 camera ground truth not exercised here) — "beyond SOTA" claims are currently unfalsifiable | High | High | ADR-145 status note; absence of ground-truth datasets in tree |
docs/research/ruview-beyond-sota/03-benchmark-validation-methodology.md
+25 -25
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@@ -18,7 +18,7 @@ published from the layer it lives at.
|-------|----------------|---------|-----------|-------------|
| **L0** Unit/integration tests | Code correctness | `cargo test --workspace --no-default-features` + pytest | per commit | exact |
| **L1** Deterministic proof + witness bundle | Pipeline is real, unchanged, reproducible | `archive/v1/data/proof/verify.py`, `scripts/generate-witness-bundle.sh` | per merge / release | exact (SHA-256) |
| **L2** Criterion micro-benchmarks | Compute latency only — never quality (ADR-149 §2) | 15 bench targets across `v2/crates/*/benches/` | nightly / pre-release | statistical |
| **L2** Criterion micro-benchmarks | Compute latency only — never quality (ADR-171 §2) | 15 bench targets across `v2/crates/*/benches/` | nightly / pre-release | statistical |
| **L3** Dataset-level accuracy eval | Pose/presence/vitals quality vs published SOTA | MM-Fi / Wi-Pose (ADR-015), `ruview_metrics.rs` tiers, ADR-145 ablation harness | per model release | seeded |
| **L4** Hardware-in-loop | Real CSI on real ESP32, no mocks | COM9 (S3) / COM12 (C6) protocol, witness firmware hashes | per firmware release | A/B controlled |
| **L5** Field trials / live capture | End-to-end behavior in a real room | live-session captures (e.g. `benchmark_baseline.json`) | campaign | statistical |
@@ -69,7 +69,7 @@ from the check inventory.
### 1.3 L2 — Criterion micro-benchmark inventory (all 15 targets)
All bench sources read directly. Per ADR-149 §2 these are **latency regression gates
All bench sources read directly. Per ADR-171 §2 these are **latency regression gates
only, never quality evidence**.
| Bench target | Crate | Benchmark functions / groups | What it measures | Recorded value or in-source target (citation) |
@@ -86,7 +86,7 @@ only, never quality evidence**.
| `detection_bench.rs` | wifi-densepose-mat | `breathing_detection`, `heartbeat_detection`, `movement_classification`, `detection_pipeline`, localization (triangulation/depth), alert generation | MAT survivor-detection algorithms at varying signal lengths / noise | no recorded baseline |
| `transport_bench.rs` | wifi-densepose-hardware | `beacon_serialize_16byte/28byte_auth/quic_framed`, `auth_beacon_verify`, `replay_window`, `framed_message` encode/decode, `secure_tdm_cycle` (manual vs QUIC) | TDM beacon crypto + transport | no recorded baseline |
| `mqtt_throughput.rs` | wifi-densepose-sensing-server | `discovery::build_*`, `state::*`, `rate_limiter::allow_*`, `privacy::decide_*`, `semantic::bus_tick_all_10_primitives` | ADR-115 MQTT hot path | Targets (header): discovery **<5 µs**, state encode **<2 µs**, rate limit **<100 ns**, privacy **<50 ns**, bus tick **<10 µs** |
| `swarm_bench.rs` | ruview-swarm | `marl_actor_inference`, `rrt_apf_100iter`, `multiview_fusion_3drones`, `demo_coverage_estimate`, `ppo_update_64transitions` | ADR-148 swarm control-loop compute | Measured: **3.3 µs / 43 µs / 54–58.5 ns / 100 ps / 248 µs** (ADR-149 §4.3; `CHANGELOG.md` Performance section) |
| `swarm_bench.rs` | ruview-swarm | `marl_actor_inference`, `rrt_apf_100iter`, `multiview_fusion_3drones`, `demo_coverage_estimate`, `ppo_update_64transitions` | ADR-148 swarm control-loop compute | Measured: **3.3 µs / 43 µs / 54–58.5 ns / 100 ps / 248 µs** (ADR-171 §4.3; `CHANGELOG.md` Performance section) |
| `pipeline_throughput.rs` | nvsim | `pipeline_run` (sample-count sweep), `witness::run` vs `run_with_witness` | NV-diamond sim throughput + witness overhead | Acceptance: **≥1 kHz** simulated samples/s on Cortex-A53-class CPU — bench header |
| `state_machine.rs` | homecore | `set` first/warm/no-op, `get` hit/miss, `all_snapshot`, `all_by_domain_light_20_of_100`, `broadcast_fan_out` | HOMECORE state-machine hot paths | no recorded baseline |
@@ -109,7 +109,7 @@ file itself); its producer must be identified and committed (§5.3). Summary val
| `person_count_changes` | 10 |
Criterion latencies that *have* been recorded live in ADR documents instead
(ADR-147-benchmark-proof.md, ADR-149 §4.3, CHANGELOG Performance) — §5 below defines
(ADR-168-benchmark-proof.md, ADR-171 §4.3, CHANGELOG Performance) — §5 below defines
how to consolidate them into a real machine-readable criterion baseline.
### 1.4 L3 — Dataset-level accuracy evaluation
@@ -150,7 +150,7 @@ how to consolidate them into a real machine-readable criterion baseline.
### 1.6 L5 — Field trials
Live multi-node sessions captured as JSONL/JSON with summary statistics —
`benchmark_baseline.json` (§1.3) is the existing exemplar. ADR-149 §6 adds the seeded
`benchmark_baseline.json` (§1.3) is the existing exemplar. ADR-171 §6 adds the seeded
`evals/` episode harness (Stage 1 kinematic full-matrix, Stage 2 Gazebo/PX4 SITL on the
3 median seeds) for the swarm domain.
@@ -168,42 +168,42 @@ statistical procedure of §3 followed. Current axes with measured status:
| Edge efficiency frontier | torso-PCK@20 at deployed precision + params + batch-1 latency | same | MultiFormer 72.25% at full size | Pareto-dominance: smaller **and** above 72.25% at the deployed precision | int8 73.5 KB **74.70%**; int4-QAT 36.7 KB **74.46%**; shipped int4 verified **74.08%**, 0.135 ms 1-thread x86 (same file) |
| Cross-subject generalization | torso-PCK@20, official MM-Fi cross-subject split (256,608 train / 64,152 test) | leakage-free split | own zero-shot baseline 63.99% | ADR-150 §4 gate: **+≥6 pts cross-subject without losing >2 pts random-split** | Best zero-shot **64.92%** (mixup+TTA+3-seed); gate judged unreachable without new capture (ADR-150 §3.2) |
| Few-shot calibration (deployment) | PCK@20 after K labeled in-room samples; adapter size | MM-Fi cross-subject & cross-environment splits | zero-shot (64% / 10.6%) | SOTA-level (≳72%) from ≤200 samples with ≤~11 KB per-room adapter | cross-subject ~**72%** @100–200 samples (3 seeds); cross-env **10.6→73.1%** @200, 60.1% @5 (ADR-150 §3.5–3.6) |
| Swarm SAR localization | CEP50/CEP95 (m), GDOP-stratified | seeded episode distribution (ADR-149 §6), not single geometry | Wi2SAR **5 m** (arxiv 2604.09115, paper-to-paper) | CEP50 < 5 m, IQM over ≥10 seeds, 95% CI excluding 5 m | 1.732 m single synthetic geometry — graded **Low–Medium**, not yet claimable (ADR-149 §7) |
| Swarm coverage | coverage-rate@240 s; time-to-95% | episode rollouts | Wi2SAR 160k m²/13.5 min | rollout (not analytic) mean+CI beating baseline | 223 s is an analytic estimate — graded **Low** (ADR-149 §7) |
| Control-loop latency | criterion wall-clock | local hardware, named | 10 ms / 100 Hz budget | all stages ≪ budget | 3.3 µs MARL / 43 µs RRT-APF / 54 ns fusion / 248 µs PPO (ADR-149 §4.3) |
| World-model trajectory | MDE (m) at 5-frame horizon | RuView CSI-derived occupancy | pre-fine-tune random-weight baseline 9.49 m MDE | **≤1.0 m (2.0 vox)** at 5-frame horizon (ADR-147 §5 target, cited in benchmark-proof §4) | 9.49 m / FDE 16.23 m random weights; 208.45 ms median latency on real CSI (ADR-147-benchmark-proof §4, §7) |
| Swarm SAR localization | CEP50/CEP95 (m), GDOP-stratified | seeded episode distribution (ADR-171 §6), not single geometry | Wi2SAR **5 m** (arxiv 2604.09115, paper-to-paper) | CEP50 < 5 m, IQM over ≥10 seeds, 95% CI excluding 5 m | 1.732 m single synthetic geometry — graded **Low–Medium**, not yet claimable (ADR-171 §7) |
| Swarm coverage | coverage-rate@240 s; time-to-95% | episode rollouts | Wi2SAR 160k m²/13.5 min | rollout (not analytic) mean+CI beating baseline | 223 s is an analytic estimate — graded **Low** (ADR-171 §7) |
| Control-loop latency | criterion wall-clock | local hardware, named | 10 ms / 100 Hz budget | all stages ≪ budget | 3.3 µs MARL / 43 µs RRT-APF / 54 ns fusion / 248 µs PPO (ADR-171 §4.3) |
| World-model trajectory | MDE (m) at 5-frame horizon | RuView CSI-derived occupancy | pre-fine-tune random-weight baseline 9.49 m MDE | **≤1.0 m (2.0 vox)** at 5-frame horizon (ADR-147 §5 target, cited in benchmark-proof §4) | 9.49 m / FDE 16.23 m random weights; 208.45 ms median latency on real CSI (ADR-168-benchmark-proof §4, §7) |
| Privacy leakage | MIA `leakage_score = 2·(AUC−0.5)` | fixed replay, fixed-seed shadow classifier | chance (0) | ≤ **0.05** (attacker AUC ≤ 0.525) | gate defined, harness built (ADR-145 §2.3) |
| Vitals (hardware) | BPM error vs wearable ground truth | live A/B board protocol | control board behavior | within physiological agreement of ground truth, stable spread | 88–91 BPM vs 87 GT, spread 59→0 (CHANGELOG #987) |
### Claim-language discipline (from ADR-149 §7 grading)
### Claim-language discipline (from ADR-171 §7 grading)
| Evidence | Permitted language |
|---|---|
| Single run / single geometry / analytic estimate | "directional", never "beats SOTA" |
| Seeded multi-run with CIs vs paper baseline | "exceeds the published X result paper-to-paper" |
| Same metric, same split, same protocol, CI excludes baseline | "beyond SOTA on <dataset>/<split>" |
| No public leaderboard exists (swarm CSI-SAR) | never claim "leaderboard standing" (ADR-149 §3) |
| No public leaderboard exists (swarm CSI-SAR) | never claim "leaderboard standing" (ADR-171 §3) |
---
## 3. Statistical Procedure for Honest Claims
Adopted from ADR-149 §5 (Agarwal 2021 / Gorsane 2022 standard) and the practices
Adopted from ADR-171 §5 (Agarwal 2021 / Gorsane 2022 standard) and the practices
already used in ADR-150/efficiency-frontier measurements:
1. **Seeds.** ≥10 independent seeds for RL/episodic claims (ADR-149 §5); ≥3 seeds
1. **Seeds.** ≥10 independent seeds for RL/episodic claims (ADR-171 §5); ≥3 seeds
minimum for supervised dataset evals (ADR-150 §3.5 used 3 seeds; report all).
Training seeds, eval seeds, and split files are versioned and committed.
2. **Aggregate.** IQM (not mean/median) for episodic metrics + performance profiles;
for dataset accuracy report mean across seeds with each seed's value listed.
3. **Confidence intervals.** 95% stratified bootstrap, 1,000 resamples (ADR-149 §5;
3. **Confidence intervals.** 95% stratified bootstrap, 1,000 resamples (ADR-171 §5;
reference impl: `rliable`).
4. **Paired comparisons.** When comparing model A vs B (e.g. `csi_plus_cir` vs
`csi_only`, or ours vs a reproduced baseline), evaluate both on the **identical
frozen test frames** and use a paired bootstrap over per-sample correctness
(PCK hit/miss is per-joint binary — pair at the joint-sample level). For
paper-to-paper comparisons where the baseline cannot be re-run, state so
explicitly ("paper-to-paper", ADR-149 §2) and require the CI lower bound to clear
explicitly ("paper-to-paper", ADR-171 §2) and require the CI lower bound to clear
the published point value.
5. **Pre-registration.** The threshold lives in an ADR **before** the run
(precedent: ADR-150 §4 gate written before §3.2 measurements; the measurements
@@ -212,9 +212,9 @@ already used in ADR-150/efficiency-frontier measurements:
capacity-hurts, and KD-didn't-help results in the record — required practice.
7. **Eval episodes (swarm):** 50 fixed, versioned episodes per policy
(10 victim layouts × 5 CSI-noise levels), ≥3 baselines (random walk,
boustrophedon+triangulation, IPPO) (ADR-149 §5).
boustrophedon+triangulation, IPPO) (ADR-171 §5).
8. **GDOP stratification** for any localization claim, so geometry artifacts cannot
produce the headline (ADR-149 §6.3).
produce the headline (ADR-171 §6.3).
---
@@ -230,7 +230,7 @@ already used in ADR-150/efficiency-frontier measurements:
### 4.2 Criterion baseline file (replaces the current gap)
Today criterion numbers live in prose (ADR-147-benchmark-proof, ADR-149 §4.3,
Today criterion numbers live in prose (ADR-168-benchmark-proof, ADR-171 §4.3,
CHANGELOG). Formalize:
1. `cargo bench --workspace -- --save-baseline main` on a **named, fixed runner**
@@ -293,7 +293,7 @@ Anyone outside the project must be able to re-run every claimed result:
(`calibration_proof_runner.rs` pattern, ADR-145 §2.6) for libm portability.
3. **Seeds are constants, committed:** `PROOF_SEED=42`, `MODEL_SEED=0`
(`proof.rs`, ADR-015 Phase 5); dataset splits committed as `.npy`
(`split_random.npy`); swarm configs as versioned YAML with all seeds (ADR-149 §5).
(`split_random.npy`); swarm configs as versioned YAML with all seeds (ADR-171 §5).
4. **Artifacts carry hashes.** Published model artifacts include SHA-256 (HuggingFace
`pose_micro_int4.npz`, sha256 `c03eeb…` — efficiency-frontier doc); witness bundle
has a `MANIFEST.sha256` over every file; provenance fields
@@ -318,9 +318,9 @@ Anyone outside the project must be able to re-run every claimed result:
| 1 | **Subject leakage / split optimism.** In-domain `random_split` has temporal/subject-adjacency effects; the same model family scores 83.6% random-split but ~11.6% torso-PCK on the leakage-free cross-subject split | efficiency-frontier "Controlled claim" footnote; ADR-150 §1, §3.2 | Always report the split name; publish random-split and cross-subject numbers side by side; cross-subject claims only on the official split |
| 2 | **Per-environment overfitting.** Zero-shot cross-environment collapses to 10.6%; subject-scaling saturates ~63.7% past 16–20 subjects because the residual is room/device shift | ADR-150 §3.3, §3.6 | Cross-room degradation + 17-joint heatmap in every ablation (ADR-145 §2.5); claim deployment accuracy only with the calibration protocol stated (K samples, adapter size) |
| 3 | **Mock-mode contamination.** Mock firmware missed a real Kconfig threshold bug; the nn crate ships a `mock_inference` criterion group that must never be quoted as pipeline performance | `CLAUDE.md` firmware rule 7; `inference_bench.rs` `bench_mock_inference` | L4 mandatory before firmware release ("Always test with real WiFi CSI, not mock mode"); label mock benches in reports; ADR-147 §7 re-ran the benchmark on real CSI explicitly "no mocks" |
| 4 | **Single-run point estimates.** 1.732 m localization from one synthetic geometry; 223 s coverage from an analytic formula | ADR-149 §1, §7 | §3 seed/CI protocol; evidence-grade table before publication |
| 5 | **Random-weight / untrained baselines read as results.** OccWorld MDE 9.49 m is a pre-fine-tuning random-weight reading | ADR-147-benchmark-proof §4 | Label baseline-vs-target explicitly; never aggregate untrained-model numbers into capability claims |
| 6 | **Latency conflated with quality.** Criterion µs numbers prove no compute bottleneck, nothing about accuracy | ADR-149 §2, §4.3 | L2 is gate-only; quality claims live in L3+ |
| 4 | **Single-run point estimates.** 1.732 m localization from one synthetic geometry; 223 s coverage from an analytic formula | ADR-171 §1, §7 | §3 seed/CI protocol; evidence-grade table before publication |
| 5 | **Random-weight / untrained baselines read as results.** OccWorld MDE 9.49 m is a pre-fine-tuning random-weight reading | ADR-168-benchmark-proof §4 | Label baseline-vs-target explicitly; never aggregate untrained-model numbers into capability claims |
| 6 | **Latency conflated with quality.** Criterion µs numbers prove no compute bottleneck, nothing about accuracy | ADR-171 §2, §4.3 | L2 is gate-only; quality claims live in L3+ |
| 7 | **Floating-point nondeterminism breaking proofs.** SciPy FFT SIMD reordering + multithreaded BLAS produced different hashes across CI microarchitectures | CHANGELOG #560; `calibration_proof_runner.rs` lines 1–13 (cited in ADR-145 §2.3) | Quantize before hashing; pin thread env vars; exclude wall-clock from hashes |
| 8 | **Hash churn without procedure.** Three distinct historical values of the proof hash exist (`8c0680d7…` ADR-028, `667eb054…` CHANGELOG #560, `f8e76f21…` current file) | cited files | Every regeneration via `--generate-hash` + re-verify + CHANGELOG entry + witness bundle refresh |
| 9 | **Aggregation bugs masking accuracy.** Person count clamped to 1 by EMA mapping; eigenvalue path leaking counts up to 10; both invisible to unit tests for months | CHANGELOG #803, #894 | L5 summary gates on `person_count_changes`/count distributions; convergence tests replaying the live loop |
@@ -336,7 +336,7 @@ Anyone outside the project must be able to re-run every claimed result:
| Machine-readable criterion baseline (`v2/benchmarks/criterion-baseline.json`) + CI comparison job | L2 | §4.2 (numbers currently only in ADR prose) |
| Provenance + producer script for `benchmark_baseline.json`; soft-gate job | L5 | §1.3, §4.3 (zero code references today) |
| `ruview-cli --ablation mode=auto` wiring + `expected_ablation_<slug>.sha256` (currently placeholders → exit 2) | L3 | ADR-145 implementation status |
| Seeded swarm `evals/` harness + `evals/RESULTS.md` internal leaderboard | L3/L5 | ADR-149 §6, §8 open issues |
| Seeded swarm `evals/` harness + `evals/RESULTS.md` internal leaderboard | L3/L5 | ADR-171 §6, §8 open issues |
| Fix `VERIFY.sh` hardcoded verdict count; reconcile `CLAUDE.md` "7/7" | L1 | §1.2 |
| Curated paired room-A/room-B labeled replay set (frozen, SHA-pinned, never trained on) | L3 | ADR-145 §3.2 |
| ARM/edge on-device latency validation for the int4 model (x86-only today) | L4 | efficiency-frontier doc ("Pi fleet pending") |
@@ -372,8 +372,8 @@ failing test, not a slogan.
---
*All values cited from: `benchmark_baseline.json`, `v2/crates/*/benches/*.rs` (15
files), `docs/adr/ADR-147-benchmark-proof.md`,
`docs/adr/ADR-149-swarm-benchmarking-evaluation-methodology.md`,
files), `docs/adr/ADR-168-benchmark-proof.md`,
`docs/adr/ADR-171-swarm-benchmarking-evaluation-methodology.md`,
`docs/adr/ADR-145-ablation-eval-harness-privacy-leakage.md`,
`docs/adr/ADR-028-esp32-capability-audit.md`,
`docs/adr/ADR-015-public-dataset-training-strategy.md`,
docs/research/ruview-beyond-sota/README.md
+2 -2
View File
@@ -15,7 +15,7 @@ validation pass run against the working tree.
| [00-system-review.md](00-system-review.md) | Capability audit of the current engine | Signal layer is the deepest asset (`ruvsense/` ≈14.4k lines, 310 in-module tests); the model tier is the emptiest (no trained checkpoint in-tree); the live 20 Hz path is the main integration gap |
| [01-sota-landscape-2026.md](01-sota-landscape-2026.md) | Published SOTA per capability axis (web-verified) | Defines the beyond-SOTA bar: 12-row capability → published SOTA → RuView-today → target table; IEEE 802.11bf-2025 is ratified and moves the moat up-stack |
| [02-beyond-sota-architecture.md](02-beyond-sota-architecture.md) | Target architecture | 8 pillars (RF foundation encoder + UQ heads, differentiable RF forward model, RF-SLAM×WorldGraph loop, camera→RF distillation, swarm apertures, continual adaptation, deterministic WASM edge, NV fusion) — all landing inside existing crates, no rewrite (per ADR-136 §2.1) |
| [03-benchmark-validation-methodology.md](03-benchmark-validation-methodology.md) | Test/validation/benchmark methodology | 6-layer validation pyramid; 15 criterion bench targets inventoried; `benchmark_baseline.json` is a live-capture anchor, not a criterion baseline; statistical protocol from ADR-149 (≥10 seeds, IQM, bootstrap CIs) |
| [03-benchmark-validation-methodology.md](03-benchmark-validation-methodology.md) | Test/validation/benchmark methodology | 6-layer validation pyramid; 15 criterion bench targets inventoried; `benchmark_baseline.json` is a live-capture anchor, not a criterion baseline; statistical protocol from ADR-171 (≥10 seeds, IQM, bootstrap CIs) |
| [04-optimization-roadmap.md](04-optimization-roadmap.md) | Performance review + 90-day plan | ISTA CIR solver is the dominant latency hazard (~1.1 GFLOP/frame at HE40); exact zero-risk wins identified; WorldGraph grows unboundedly (no eviction) — a real bug-class |
## Validation results (this session, 2026-06-09)
@@ -83,7 +83,7 @@ Correctness post-optimization: `wifi-densepose-signal` 456 tests green;
1. **"Beyond SOTA" is currently unfalsifiable** without a real-CSI
ground-truth benchmark — standing one up (per doc 03's acceptance table
and ADR-149's statistical protocol) is the highest-leverage next step.
and ADR-171's statistical protocol) is the highest-leverage next step.
2. **The path is evolution, not rewrite**: all eight architecture pillars in
doc 02 land inside existing crates on the ADR-136 `Stage<I,O>`/`FrameMeta`
contract spine.