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rUv 17471e93ff
ADR-152: WiFi-Pose SOTA 2026 intake — WiFlow-STD benchmark, Rust integrations, ADR-153 802.11bf layer, efficiency frontier (#1008) 
* feat(calibration): NodeGeometry transceiver-geometry recording (ADR-152 §2.1.1)

PerceptAlign-motivated geometry capture at enrollment: per-node optional
records (position, antenna orientation, inter-node distances, acquisition
method) — recorded when known, never required. Event-sourced via
EnrollmentEvent::GeometryRecorded (latest recording wins); persisted on
SpecialistBank with serde defaults so pre-ADR-152 bank JSON loads cleanly
(fixture-proven, and geometry-free banks serialize byte-shape-identical
to the old schema); threaded through MultiNodeMixture as data only — the
learned geometry embeddings and algorithmic fusion use are §2.1.2,
deliberately deferred until the ADR-151 P6 LoRA heads exist.

Geometry recorded from now on means banks captured today remain usable
for layout-conditioned training later — you can't retroactively add
geometry to data you didn't record.

8 new tests (3 geometry, 2 anchor, 2 bank, 1 multistatic) + full-loop
extension (2-node geometry, one tape-measured + one unknown, surviving
the bank JSON round-trip the runtime loads from). 50/50 calibration
(both feature configs) + 23 CLI tests green.

Co-Authored-By: RuFlo <ruv@ruv.net>

* feat(training): two-checkerboard camera↔room calibration for ADR-079 labels (ADR-152 §2.1.3)

Defends the camera-supervised pipeline against PerceptAlign's
"coordinate overfitting": MediaPipe keypoints were emitted in raw camera
coordinates with no shared frame and no transceiver-geometry metadata —
the exact label shape that memorizes deployment layout and collapses
cross-layout.

- scripts/calibrate-camera-room.py + calibration_lib.py: OpenCV
  two-checkerboard calibration → versioned bundle JSON (intrinsics,
  camera→room extrinsics, checkerboard spec, transceiver geometry,
  sha256 calibration_id). Intrinsics resolve from file > cache >
  multi-view computation > loud-warning 2-view fallback.
- collect-ground-truth.py --calibration <bundle>: every sample gains
  keypoints_room (unit bearing rays from the camera center in the room
  frame — documented projective alignment; raw image coords preserved
  so training chooses), camera_origin_room, calibration_id, and the
  transceiver geometry stamp. Without the flag, output is byte-identical
  to before (tested) + a one-line ADR-152 warning.

Design finding (recorded for ADR-152): a single planar checkerboard's
corner grid is centrosymmetric — the reversed corner ordering fits a
ghost camera pose with IDENTICAL reprojection error, so per-board flip
disambiguation is mathematically ill-posed. solve_two_board_extrinsics
solves the joint wall+floor set over all 4 flip combinations, where the
minimum is unique — an independent reason the TWO-checkerboard method is
required, beyond what PerceptAlign states.

15 headless pytest tests green (synthetic corners: extrinsics recovery
incl. ghost resolution, bundle round-trip + hash stability, ray
transforms w/ distortion + cross-resolution, no-calibration byte
identity).

Co-Authored-By: RuFlo <ruv@ruv.net>

* feat(benchmarks): WiFlow-STD reproduction harness + measurement (a) results (ADR-152 §2.2)

Shipped checkpoint REFUTED (0.08% PCK@20, wrong keypoint normalization);
6 reproducibility defects documented (broken imports, corrupted dataset
tail with float32-max garbage that NaN-poisons fp16 BatchNorm, unreachable
test phase). After repairs, retraining with upstream defaults reproduces
96.09% PCK@20 full-test / 96.61% corruption-free (published 97.25%) on
RTX 5080. Claims graded MEASURED-EQUIVALENT; 2.23M params + ~0.055 GFLOPs
verified. Third-party code/weights/data stay out of tree (gitignored).

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

* feat: ADR-152 Rust integrations + ADR-153 802.11bf protocol model

- calibration: GeometryEmbedding — 32-slot permutation-invariant NodeGeometry
  featurization for future LoRA-head conditioning (ADR-152 §2.1.2); derived
  SpecialistBank::geometry_embedding() accessor; 59 tests
- train: MaePretrainConfig + patchify/random-mask with UNSW measured recipe
  (80% masking, (30,3) patches; ADR-152 §2.3, arXiv 2511.18792); strict
  no-truncate/no-NaN policy; proptest properties
- train: WiFlowStdModel — tch-gated port of the verified ~96%-PCK@20
  WiFlow-STD architecture (ADR-152 §2.2 beyond-SOTA); ungated param formula
  pinned to 2,225,042; 15/17-keypoint support; 239 crate tests
- hardware: ieee80211bf forward-compatibility protocol model (ADR-153):
  SpecProfile gates, SensingCapabilities negotiation, required ConsentMode,
  session FSM, SensingTransport + SimTransport + OpportunisticCsiBridge;
  full acceptance checklist covered; 156+4 tests
- deps: ruvector bumps per ADR-152 §2.6 survey (mincut/solver 2.0.6,
  attention 2.1.0, gnn 2.2.0); vendor/ruvector synced to a083bd77f
- docs: ADR-153 accepted; ADR-152 §2.2 status, §2.4 amendment, §2.6 added

Workspace: 162 test suites green (--no-default-features); Python proof PASS.
Known pre-existing flake: homecore-api env_empty_falls_back_to_defaults
(unserialized env-var mutation) — untouched, follow-up.

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

* docs: CHANGELOG + CLAUDE.md entries for ADR-152 integrations and ADR-153

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

* fix(train): repair tch-backend bit-rot — gated path compiles and tests run again

Mechanical API refresh against current tch: Vec::from(Tensor) -> try_from
(+ explicit flatten), numel() usize cast, Rem/div ops -> remainder() /
divide_scalar_mode(floor) — the latter fixed a silent true-division bug in
heatmap argmax decoding; clamp(1.0, f64::MAX) -> clamp_min (torch 2.x scalar
overflow panic); petgraph EdgeRef import; missing EvalMetrics and
verify_checkpoint_dir APIs that tests documented. wiflow_std roundtrip test
uses safetensors (.pt _save_parameters roundtrip broken in torch 2.11
Windows). Gated: 349 passed (incl. all 20 wiflow_std); ungated: unchanged.
Known pre-existing: gaussian-heatmap convention mismatch (2 tests), proof
seed race under parallel threads — documented, deliberate follow-ups.

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

* feat(train): WiFlow-STD PyTorch->tch weight import + numerical parity proof

export_to_safetensors.py maps the retrained checkpoint (295 tensors -> 248
mapped, param sum exactly 2,225,042; num_batches_tracked dropped) into a
tch-loadable safetensors plus a deterministic parity fixture. Gated #[ignore]
integration test loads it strictly and asserts forward-pass agreement:
max abs diff 1.192e-7 on the seed-42 fixture. dump_variable_names test makes
the tch name layout authoritative. Zero architecture discrepancies found.

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

* fix: workflow-review findings — BN gamma init, ThresholdParams serde, init docs

Concurrent validation workflow (2 review lanes + adversarial verification,
13 agents): 5 confirmed findings, 3 refuted. Fixes:
- wiflow_std: pin BatchNorm gamma to 1.0 (tch default draws Uniform(0,1) —
  silently halves activations in from-scratch training; loaded checkpoints
  unaffected, parity re-verified after the change)
- wiflow_std: document the conv-init divergences vs the reference's
  effective kaiming_normal(fan_out) re-init (from-scratch dynamics only)
- ieee80211bf: ThresholdParams deserialization validates via try_from so
  the <=100 invariant holds for untrusted payloads (+ rejection test)

Benchmarks (release, ruvzen): GeometryEmbedding 1.84us/call (542k/s),
MAE tokenization 7.38us/window (135k/s), 802.11bf FSM 8.9M events/s —
nothing suspicious.

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

* docs(adr): ADR-152 §2.1.4 gate resolved — PerceptAlign repo MIT, dataset on HF

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

* feat(benchmarks): edge optimization measured + measurement (b) blocked + 92.9% retraction

Edge optimization (ADR-152 optimize track): ONNX Runtime fp32 is the CPU
latency win (3.2 ms/window, ~3.4x faster than torch, parity 2.4e-7); ORT
dynamic int8 reaches 2.44 MB (paper's ~2.2 MB claim plausible only via
conv-capable toolchains; -0.16pt PCK@20, +18% MPJPE, 2x slower); torch
dynamic quant converts 0% of this conv-only model; fp16 halves storage free
but is slower on CPU.

Measurement (b) BLOCKED-ON-DATA: only 1,077 paired ESP32 windows exist
(stop rule <2k). Forensic recheck of the surviving April holdout RETRACTS
the ADR-079 '92.9% PCK@20' figure: constant-output model, absolute (not
torso) threshold, 69 near-static frames — mean predictor scores 100% under
that protocol; torso-PCK@20 is 19.1%. Corroborates PR #535. Stale citations
removed from user-guide, readme-details, ADR-152 §2.1.3; no-citation rule
extended to ADR-079 accuracy claims. Unblock: >=2k-window multi-pose paired
session + torso-PCK re-baseline.

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

* docs(user-guide): corrected camera-supervised collection tutorial

Step 0 CSI-rate check + session-length math (window yield = frames/20 —
the May session's 8x under-delivery was a ~12 Hz CSI rate, not an aligner
bug); two-checkerboard calibration step (ADR-152 §2.1.3); pose-variety and
confidence guidance; torso-normalized PCK + temporal-split + pred-variance
eval protocol (lessons from the 92.9% retraction); scale presets re-keyed
to realistic window counts.

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

* feat(benchmarks): static PTQ int8 (calibrated) results + overnight capture script

Conv-only static QDQ beats dynamic int8 on accuracy (PCK@20 96.61-96.63%
vs 96.52%, MPJPE +10% vs +18% over fp32) at ~equal size/latency; all-ops
QDQ strictly worse (int8 activations through attention glue). Entropy
calibration verified bit-identical to MinMax on this data. Deployment:
ONNX fp32 for speed (3.2ms), static conv-only QDQ for smallest (2.53MB).

Also: scripts/overnight-empty-capture.py — segmented UDP CSI recorder for
empty-room baselines (no glob collisions, detach-safe).

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

* feat(benchmarks): measurement (b) MEASURED — optimization transfer only, mean-pose baseline wins

WiFlow-STD fine-tuned on 2,046 fresh single-room ESP32 paired windows
(temporal 70/15/15, 70->540 adapter, K=17): pretrained-init 65% PCK@20 vs
scratch 0% (optimization transfer) but frozen-trunk ~0% (no feature
transfer), and NOTHING beats the mean-pose baseline (95.9% PCK@20 —
single subject, near-static normalized coords). Honesty gates held: pred
std 0.0113 (non-constant model) but mean-baseline dominance means no
citable CSI->pose capability from this data. ADR-152 open question 1
answered partially; definitive answer needs multi-subject/position data.

Two new aligner findings: heterogeneous csi_shape with silent zero-padding
(~20%), and extractCsiMatrix's transposed shape label (frame-major data,
[nSc, nFrames] label) — fixes pending.

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

* feat(benchmarks): efficiency sweep MEASURED — half model dominates full reference

Compact WiFlow-STD variants on the same data/split/protocol: half (843,834
params, 0.38x) strictly dominates the 2.23M reference (PCK@20 96.62 vs
96.61, PCK@50 99.47 vs 99.11, MPJPE 0.00898 vs 0.0094) — the published
architecture is over-parameterized for its own benchmark. quarter (338k)
96.05%; tiny (56,290 params, 1/39.5) holds 94.11% — a ~220KB fp32 edge
candidate. In-domain caveats recorded; cross-domain untested.

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

* feat(train): compact WiFlow-STD presets in Rust + tiny edge artifact (ADR-152)

WiFlowStdConfig gains half()/quarter()/tiny() mirroring the overnight sweep
exactly: TcnGroupsMode (Fixed/Gcd/Depthwise), input_pw_groups, derived
stride schedule and decoder-mid (all default to upstream behavior; legacy
serde JSON unaffected). Param formulas pin to trained ground truth first
try: 843,834 / 338,600 / 56,290; default 2,225,042 pin and 1.192e-7 parity
unchanged. 248 tests green.

Tiny edge artifact (tiny_edge_bench.py): ONNX fp32 = 295 KB, 0.66 ms/win
(~1,500/s CPU), 94.11% PCK@20 (matches sweep clean-test exactly; parity
1.49e-7). Static int8 is a bad trade at this scale (-1.43pt, +19% MPJPE,
-16% size, slower) — recorded as negative result. Export note: width-16
breaks AdaptiveAvgPool((15,1)) TorchScript export; replaced by exact
mean+matmul equivalent, proven by parity.

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

* fix: resolve all 10 confirmed code-review findings (7-angle review, 20/20 verified)

wiflow_std: min_feature_width (default 15) replaces the keypoints->stride
coupling — for_keypoints(17) now provably builds the trained [2,2,2,2]
graph and pools 15->17, matching the validated Python protocol (pinned by
tests); param_count() total on invalid configs; random_mask returns Result
and rejects non-finite/out-of-range ratios; trainer checkpoints switched
to safetensors (.pt VarStore roundtrip broken on Windows torch 2.11).

ieee80211bf: SBP proxy now re-triggers instances and relays reports via
Action::RelaySbpReport -> SensingFrame::SbpReport (clients consume via
their existing path); missed_instances reset on success = consecutive
semantics; SessionTable gains a guarded SBP entry point + unknown-id drop
counter; initiator-role sessions reject inbound setup/SBP requests
(RejectedNotSupported) closing the idle hijack; StartSetup/StartSbp
outside Idle return InvalidStateForCommand; SBP validation unified
through evaluate_setup with a 1:1 SetupStatus->SbpStatus mapping.
events.rs split out to honor the 500-line cap.

calibration/cli: enrollment geometry now actually reaches trained banks —
both production call sites attach .with_geometry; --geometry flag on
train-room and POST /enroll/geometry + train-body geometry on
calibrate-serve give production a recording surface; geometry-free banks
log the ADR-152 §2.1.2 note.

benchmarks: corruption masks committed as ground truth (unregenerable
after in-place cleaning; verified bit-identical regeneration from the
pristine copy) + generate_corruption_masks.py producer; _bench_common.py
dedups the 5x-copied shim/evaluate/seed/remap (post-refactor PCK@20
re-verified equal to the last digit); remote scripts get the mmap patch;
tiny_edge --calib validated multiple-of-64; onnx_bench --help no longer
executes (and overwrote) the export — artifact restored byte-exact.

Workspace: 2,963 tests passed, 0 failed; Python proof PASS.

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

* ci: build workspace tests without debuginfo — runner disk exhaustion

The combined 38-crate debug target exceeds the GitHub runner's disk
('final link failed: No space left on device'); the same tree measured
151GB locally with full debuginfo. CARGO_PROFILE_{DEV,TEST}_DEBUG=0
shrinks the target ~5-10x; debuginfo serves no purpose in CI test runs.

Co-Authored-By: claude-flow <ruv@ruv.net>
 		2026-06-11 17:02:23 -04:00
..
.issue-177-body.md ruv-neural: publish 11 crates to crates.io — full implementation, no stubs 2026-03-09 10:52:24 -04:00
ADR-001-wifi-mat-disaster-detection.md feat: Add wifi-densepose-mat disaster detection module 2026-01-13 17:24:50 +00:00
ADR-002-ruvector-rvf-integration-strategy.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-003-rvf-cognitive-containers-csi.md feat: Add 12 ADRs for RuVector RVF integration and proof-of-reality 2026-02-28 06:13:04 +00:00
ADR-004-hnsw-vector-search-fingerprinting.md docs: update README, CHANGELOG, and associated ADRs for MERIDIAN 2026-03-01 12:06:09 -05:00
ADR-005-sona-self-learning-pose-estimation.md docs: update README, CHANGELOG, and associated ADRs for MERIDIAN 2026-03-01 12:06:09 -05:00
ADR-006-gnn-enhanced-csi-pattern-recognition.md docs: update README, CHANGELOG, and associated ADRs for MERIDIAN 2026-03-01 12:06:09 -05:00
ADR-007-post-quantum-cryptography-secure-sensing.md feat: Add 12 ADRs for RuVector RVF integration and proof-of-reality 2026-02-28 06:13:04 +00:00
ADR-008-distributed-consensus-multi-ap.md feat: Add 12 ADRs for RuVector RVF integration and proof-of-reality 2026-02-28 06:13:04 +00:00
ADR-009-rvf-wasm-runtime-edge-deployment.md feat: Add 12 ADRs for RuVector RVF integration and proof-of-reality 2026-02-28 06:13:04 +00:00
ADR-010-witness-chains-audit-trail-integrity.md feat: Add 12 ADRs for RuVector RVF integration and proof-of-reality 2026-02-28 06:13:04 +00:00
ADR-011-python-proof-of-reality-mock-elimination.md chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430) 2026-04-25 23:07:52 -04:00
ADR-012-esp32-csi-sensor-mesh.md docs(adr): update bare wifi-densepose-rs refs to v2/ in ADR-012, ADR-052 2026-04-25 21:43:21 -04:00
ADR-013-feature-level-sensing-commodity-gear.md chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430) 2026-04-25 23:07:52 -04:00
ADR-014-sota-signal-processing.md feat: Implement ADR-014 SOTA signal processing (6 algorithms, 83 tests) 2026-02-28 14:34:16 +00:00
ADR-015-public-dataset-training-strategy.md docs: Update ADR-015 with verified dataset specs from research 2026-02-28 15:14:50 +00:00
ADR-016-ruvector-integration.md docs(adr): Mark ADR-016 as Accepted — all 5 integrations complete 2026-02-28 15:46:44 +00:00
ADR-017-ruvector-signal-mat-integration.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-018-esp32-dev-implementation.md chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430) 2026-04-25 23:07:52 -04:00
ADR-019-sensing-only-ui-mode.md chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430) 2026-04-25 23:07:52 -04:00
ADR-020-rust-ruvector-ai-model-migration.md chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430) 2026-04-25 23:07:52 -04:00
ADR-021-vital-sign-detection-rvdna-pipeline.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-022-windows-wifi-enhanced-fidelity-ruvector.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-023-trained-densepose-model-ruvector-pipeline.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-024-contrastive-csi-embedding-model.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-025-macos-corewlan-wifi-sensing.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-026-survivor-track-lifecycle.md feat(mat): add ADR-026 + survivor track lifecycle module (WIP) 2026-03-01 07:53:28 +00:00
ADR-027-cross-environment-domain-generalization.md docs: add gap closure mapping for all proposed ADRs (002-011) to ADR-027 2026-03-01 11:51:32 -05:00
ADR-028-esp32-capability-audit.md chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430) 2026-04-25 23:07:52 -04:00
ADR-029-ruvsense-multistatic-sensing-mode.md docs: update ADRs with ENOMEM crash fix proof (Issue #127) 2026-03-03 16:14:54 -05:00
ADR-030-ruvsense-persistent-field-model.md docs: add RuvSense persistent field model, exotic tiers, and appliance categories 2026-03-02 01:59:21 +00:00
ADR-031-ruview-sensing-first-rf-mode.md feat: combine ADR-029/030/031 + DDD domain model into implementation branch 2026-03-01 21:25:14 -05:00
ADR-032-multistatic-mesh-security-hardening.md feat: ADR-032a midstreamer QUIC transport + secure TDM + temporal gesture + attractor drift 2026-03-01 22:22:19 -05:00
ADR-033-crv-signal-line-sensing-integration.md feat: ADR-033 CRV signal-line integration + ruvector-crv 6-stage pipeline 2026-03-01 22:21:59 -05:00
ADR-034-expo-mobile-app.md feat: Implement RSSI service for iOS and Web platforms 2026-03-02 10:30:33 -05:00
ADR-035-live-sensing-ui-accuracy.md docs: update ADR-035 with dark mode, render modes, pose_source fix 2026-03-02 11:08:13 -05:00
ADR-036-rvf-training-pipeline-ui.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-037-multi-person-pose-detection.md docs: ADR-037 multi-person pose detection from single ESP32 CSI stream 2026-03-02 13:49:38 -05:00
ADR-038-sublinear-goal-oriented-action-planning.md docs: ADR-038 Sublinear Goal-Oriented Action Planning (GOAP) 2026-03-02 14:39:15 -05:00
ADR-039-esp32-edge-intelligence.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-040-wasm-programmable-sensing.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-041-wasm-module-collection.md feat: expand ADR-041 WASM module catalog from 37 to 60 modules 2026-03-03 00:06:39 -05:00
ADR-042-coherent-human-channel-imaging.md feat: add ADR-042 CHCI protocol, 24 new edge modules, README restructure 2026-03-03 11:35:57 -05:00
ADR-043-sensing-server-ui-api-completion.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-044-geospatial-satellite-integration.md feat: Real-time dense point cloud from camera + WiFi CSI (#405) 2026-04-20 12:48:54 -04:00
ADR-045-amoled-display-support.md docs: update README with ADR-045–048, Observatory, adaptive classifier, AMOLED display 2026-03-05 10:20:48 -05:00
ADR-046-android-tv-box-armbian-deployment.md docs: update README with ADR-045–048, Observatory, adaptive classifier, AMOLED display 2026-03-05 10:20:48 -05:00
ADR-047-psychohistory-observatory-visualization.md docs: update README with ADR-045–048, Observatory, adaptive classifier, AMOLED display 2026-03-05 10:20:48 -05:00
ADR-048-adaptive-csi-classifier.md feat: adaptive CSI classifier with signal smoothing pipeline (ADR-048) (#144) 2026-03-05 10:15:18 -05:00
ADR-049-cross-platform-wifi-interface-detection.md chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430) 2026-04-25 23:07:52 -04:00
ADR-050-provisioning-tool-enhancements.md feat: Real-time dense point cloud from camera + WiFi CSI (#405) 2026-04-20 12:48:54 -04:00
ADR-050-quality-engineering-security-hardening.md fix: security hardening — replace fake HMAC, add path traversal protection, OTA auth (ADR-050) 2026-03-06 13:11:04 -05:00
ADR-052-ddd-bounded-contexts.md feat: complete Tauri desktop frontend with all pages and enhanced design (#198) 2026-03-08 23:31:18 -04:00
ADR-052-tauri-desktop-frontend.md docs(adr): update bare wifi-densepose-rs refs to v2/ in ADR-012, ADR-052 2026-04-25 21:43:21 -04:00
ADR-053-ui-design-system.md feat: complete Tauri desktop frontend with all pages and enhanced design (#198) 2026-03-08 23:31:18 -04:00
ADR-054-desktop-full-implementation.md feat(desktop): RuView Desktop v0.4.0 - Full ADR-054 Implementation (#212) 2026-03-09 21:58:06 -04:00
ADR-055-integrated-sensing-server.md feat(desktop): v0.4.2 - Integrated sensing server with real WebSocket data 2026-03-10 00:08:31 -04:00
ADR-056-ruview-desktop-capabilities.md feat(desktop): v0.4.2 - Integrated sensing server with real WebSocket data 2026-03-10 00:08:31 -04:00
ADR-057-firmware-csi-build-guard.md fix(firmware): enable CSI in sdkconfig and add build guard (ADR-057) 2026-03-12 13:49:20 -04:00
ADR-058-ruvector-wasm-browser-pose-example.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-059-live-esp32-csi-pipeline.md feat(demo): wire all 6 RuVector WASM attention mechanisms into pose fusion 2026-03-12 20:59:57 -04:00
ADR-060-provision-channel-mac-filter.md feat(firmware): --channel and --filter-mac provisioning (ADR-060) 2026-03-13 08:27:08 -04:00
ADR-061-qemu-esp32s3-firmware-testing.md feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
ADR-062-qemu-swarm-configurator.md feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260) 2026-03-14 13:39:51 -04:00
ADR-063-mmwave-sensor-fusion.md feat: ADR-063/064 mmWave sensor fusion + multimodal ambient intelligence (#269) 2026-03-15 16:10:10 -04:00
ADR-064-multimodal-ambient-intelligence.md feat: ADR-063/064 mmWave sensor fusion + multimodal ambient intelligence (#269) 2026-03-15 16:10:10 -04:00
ADR-065-happiness-scoring-seed-bridge.md feat: happiness scoring pipeline + ESP32 swarm with Cognitum Seed (#285) 2026-03-20 18:46:34 -04:00
ADR-066-esp32-swarm-seed-coordinator.md feat: ADR-069 ESP32 CSI → Cognitum Seed RVF pipeline (v0.5.4-esp32) 2026-04-02 19:32:18 -04:00
ADR-067-ruvector-v2.0.5-upgrade.md docs(adr): ADR-067 RuVector v2.0.5 upgrade + new crate adoption plan 2026-03-23 21:51:43 -04:00
ADR-068-per-node-state-pipeline.md feat: ADR-069 ESP32 CSI → Cognitum Seed RVF pipeline (v0.5.4-esp32) 2026-04-02 19:32:18 -04:00
ADR-069-cognitum-seed-csi-pipeline.md feat: ADR-069 ESP32 CSI → Cognitum Seed RVF pipeline (v0.5.4-esp32) 2026-04-02 19:32:18 -04:00
ADR-070-self-supervised-pretraining.md feat: ADR-070 self-supervised pretraining from live ESP32 CSI + Seed 2026-04-02 20:42:37 -04:00
ADR-071-ruvllm-training-pipeline.md feat: camera-free 17-keypoint pose training (10 sensor signals) 2026-04-02 23:05:07 -04:00
ADR-072-wiflow-architecture.md feat: ADR-072 WiFlow SOTA architecture — TCN + axial attention + pose decoder 2026-04-02 23:40:23 -04:00
ADR-073-multifrequency-mesh-scan.md feat: ADR-074 spiking neural network for real-time CSI sensing 2026-04-03 00:34:31 -04:00
ADR-074-spiking-neural-csi-sensing.md feat: ADR-074 spiking neural network for real-time CSI sensing 2026-04-03 00:34:31 -04:00
ADR-075-mincut-person-separation.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-076-csi-spectrogram-embeddings.md feat: ADR-076 CNN spectrogram embeddings + graph transformer fusion 2026-04-03 00:36:38 -04:00
ADR-077-novel-rf-sensing-applications.md feat: ADR-077 — 6 novel RF sensing applications 2026-04-03 08:50:48 -04:00
ADR-078-multifreq-mesh-applications.md feat: ADR-078 — 5 multi-frequency mesh applications 2026-04-03 08:52:50 -04:00
ADR-079-camera-ground-truth-training.md fix: remove hardcoded Tailscale IPs and usernames from public files 2026-04-06 14:39:21 -04:00
ADR-080-qe-remediation-plan.md chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430) 2026-04-25 23:07:52 -04:00
ADR-081-adaptive-csi-mesh-firmware-kernel.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
ADR-082-pose-tracker-confirmed-output-filter.md fix(tracker): exclude Lost tracks from bridge output (#420, ADR-082) (#426) 2026-04-25 20:03:03 -04:00
ADR-083-per-cluster-pi-compute-hop.md docs(adr): ADR-083 — per-cluster Pi compute hop (proposed) (#428) 2026-04-25 23:08:02 -04:00
ADR-084-rabitq-similarity-sensor.md docs(adr): ADR-084 — promote Proposed → Accepted 2026-04-26 02:22:26 -04:00
ADR-085-rabitq-pipeline-expansion.md docs(adr): ADR-085 — RaBitQ pipeline expansion (proposed) (#433) 2026-04-26 00:11:32 -04:00
ADR-086-edge-novelty-gate.md docs(adr): ADR-086 — edge novelty gate (proposed) (#434) 2026-04-26 02:21:40 -04:00
ADR-089-nvsim-nv-diamond-simulator.md feat(nvsim): full simulator stack — Rust crate, dashboard, server, App Store, Ghost Murmur [ADR-089/090/091/092/093] 2026-04-27 12:41:01 -04:00
ADR-090-nvsim-lindblad-extension.md feat(nvsim): full simulator stack — Rust crate, dashboard, server, App Store, Ghost Murmur [ADR-089/090/091/092/093] 2026-04-27 12:41:01 -04:00
ADR-091-stand-off-radar-tier-research.md feat(nvsim): full simulator stack — Rust crate, dashboard, server, App Store, Ghost Murmur [ADR-089/090/091/092/093] 2026-04-27 12:41:01 -04:00
ADR-092-nvsim-dashboard-implementation.md feat(nvsim): full simulator stack — Rust crate, dashboard, server, App Store, Ghost Murmur [ADR-089/090/091/092/093] 2026-04-27 12:41:01 -04:00
ADR-093-dashboard-gap-analysis.md feat(nvsim): full simulator stack — Rust crate, dashboard, server, App Store, Ghost Murmur [ADR-089/090/091/092/093] 2026-04-27 12:41:01 -04:00
ADR-094-pointcloud-github-pages-deployment.md feat(pointcloud): integrate ESP32 CSI as optional data stream from hosted viewer 2026-04-29 20:33:00 -04:00
ADR-095-rvcsi-edge-rf-sensing-platform.md fix(rvcsi): scale-relative baseline-drift thresholds + ESP32 end-to-end validation 2026-05-12 22:19:15 -04:00
ADR-096-rvcsi-ffi-crate-layout.md fix(rvcsi): scale-relative baseline-drift thresholds + ESP32 end-to-end validation 2026-05-12 22:19:15 -04:00
ADR-097-adopt-rvcsi-as-ruview-csi-runtime.md docs(adr): ADR-097 — adopt rvCSI as RuView's primary CSI runtime (Proposed) 2026-05-13 09:23:25 -04:00
ADR-098-evaluate-midstream-fit.md docs(adr): ADR-098 — evaluate midstream for RuView's CSI/WS/mesh pipeline (Rejected) (#553) 2026-05-17 17:49:21 -04:00
ADR-099-midstream-introspection-tap.md feat(introspection): I6 — regime-changed signal + per-frame analyze + honest ADR-099 D8 amendment 2026-05-13 23:29:37 -04:00
ADR-100-cog-packaging-specification.md docs(adr): ADR-100 + ADR-101 — record v0.0.1 shipping status (#644) 2026-05-19 17:13:31 -04:00
ADR-101-pose-estimation-cog.md docs: repoint #640 references to #645 (original deleted, replaced) (#646) 2026-05-19 17:18:05 -04:00
ADR-102-edge-module-registry.md feat(edge-registry): ADR-102 — surface Cognitum cog catalog via /api/v1/edge/registry (#648) 2026-05-19 18:08:43 -04:00
ADR-103-learned-multi-person-counter.md docs(adr): ADR-103 — learned multi-person counter (SOTA path) (#693) 2026-05-21 18:28:18 -04:00
ADR-104-ruview-mcp-cli-distribution.md feat(tools): scaffold ruview MCP server + CLI + ADR-104 (#705) 2026-05-21 23:33:18 -04:00
ADR-105-federated-csi-training.md research(R4) + adr-105: federated CSI training with MERIDIAN+Krum+mincut (#716) 2026-05-22 02:24:42 -04:00
ADR-106-dp-sgd-and-primitive-isolation.md adr-106: differential privacy + biometric primitive isolation for federation (#718) 2026-05-22 02:48:16 -04:00
ADR-107-cross-installation-federation.md adr-107: cross-installation federation with secure aggregation — privacy chain closes (#725) 2026-05-22 04:27:48 -04:00
ADR-108-kyber-post-quantum-key-exchange.md adr-108: Kyber post-quantum key exchange for cross-installation federation (#731) 2026-05-22 05:45:32 -04:00
ADR-109-dilithium-pqc-signatures.md adr-109: Dilithium PQC signatures — provenance side of post-quantum migration (#733) 2026-05-22 06:06:05 -04:00
ADR-110-esp32-c6-firmware-extension.md fix(firmware): C6 IDF v5.5 guard + HE-LTF host ingest + WITNESS-LOG-110 B1 resolution (#1005) (#1011) 2026-06-11 11:00:37 -04:00
ADR-113-multistatic-placement-strategy.md adr-113: multistatic placement strategy — consolidates 9-tick R6 family into decision matrix (#734) 2026-05-22 06:17:21 -04:00
ADR-114-cog-quantum-vitals.md adr-114: cog-quantum-vitals — first quantum-augmented cog spec, recovers R13 NEGATIVE (#742) 2026-05-22 07:37:44 -04:00
ADR-115-home-assistant-integration.md ADR-115: Home Assistant + Matter integration (#778) 2026-05-23 16:13:28 -04:00
ADR-116-cog-ha-matter-seed.md cog-ha-matter (ADR-116): P4 ✅ — mDNS wired into main, broker deferred 2026-05-23 18:36:14 -04:00
ADR-117-pip-wifi-densepose-modernization.md feat(adr-117): pip wifi-densepose modernization (PIP-PHOENIX) + ruview sibling release (#786) 2026-05-24 13:00:38 -04:00
ADR-118-bfld-beamforming-feedback-layer-for-detection.md docs(adr-118): integrate Soul Signature into BFLD ADRs 118/120/121/122 2026-05-24 12:35:06 -04:00
ADR-119-bfld-frame-format-and-wire-protocol.md feat(adr-118/p1): scaffold wifi-densepose-bfld crate + frame header (3/3 tests GREEN) 2026-05-24 13:34:05 -04:00
ADR-120-bfld-privacy-class-and-hash-rotation.md docs(adr-118): integrate Soul Signature into BFLD ADRs 118/120/121/122 2026-05-24 12:35:06 -04:00
ADR-121-bfld-identity-risk-scoring.md docs(adr-118): integrate Soul Signature into BFLD ADRs 118/120/121/122 2026-05-24 12:35:06 -04:00
ADR-122-bfld-ruview-ha-matter-exposure.md docs(adr-118): integrate Soul Signature into BFLD ADRs 118/120/121/122 2026-05-24 12:35:06 -04:00
ADR-123-bfld-capture-path-nexmon-and-esp32.md docs(adr-118): BFLD — Beamforming Feedback Layer for Detection (6 ADRs + research bundle) 2026-05-24 12:20:52 -04:00
ADR-124-rvagent-mcp-ruvector-npm-integration.md docs(adr-124): RUVIEW-POLICY layer + Q4 cache resolution + multi-modal vision 2026-05-24 20:11:24 -04:00
ADR-125-ruview-apple-home-native-hap-bridge.md docs(adr-125): resolve topology + identity-risk questions per review 2026-05-25 16:02:51 -04:00
ADR-126-ruview-native-ha-port-master.md ADR-125 APPLE-FABRIC: RuView <-> Apple Home native HAP bridge (e2e on real C6) (#797) 2026-05-25 17:36:40 -04:00
ADR-127-homecore-state-machine-rust.md ADR-125 APPLE-FABRIC: RuView <-> Apple Home native HAP bridge (e2e on real C6) (#797) 2026-05-25 17:36:40 -04:00
ADR-128-homecore-integration-plugin-system.md ADR-125 APPLE-FABRIC: RuView <-> Apple Home native HAP bridge (e2e on real C6) (#797) 2026-05-25 17:36:40 -04:00
ADR-129-homecore-automation-engine.md ADR-125 APPLE-FABRIC: RuView <-> Apple Home native HAP bridge (e2e on real C6) (#797) 2026-05-25 17:36:40 -04:00
ADR-130-homecore-rest-websocket-api.md ADR-125 APPLE-FABRIC: RuView <-> Apple Home native HAP bridge (e2e on real C6) (#797) 2026-05-25 17:36:40 -04:00
ADR-133-homecore-assist-ruflo.md HOMECORE: native Rust/WASM/TS port of Home Assistant — ADRs 125-134 implementation (#800) 2026-05-25 22:47:48 -04:00
ADR-134-csi-to-cir-time-domain-multipath.md feat(signal): ADR-134 CSI→CIR via ISTA + NeumannSolver warm-start (#837) 2026-05-28 16:24:37 -04:00
ADR-135-empty-room-baseline-calibration.md feat(signal): ADR-135 — empty-room baseline calibration 2026-05-28 18:57:08 -04:00
ADR-136-ruview-streaming-engine-frame-contracts.md docs(adr): add Implementation Status & Integration to ADR-136..146 2026-05-29 08:09:23 -04:00
ADR-137-fusion-engine-quality-scoring-evidence.md docs(adr): add Implementation Status & Integration to ADR-136..146 2026-05-29 08:09:23 -04:00
ADR-138-linkgroup-array-coordinator-clock-quality.md docs(adr): add Implementation Status & Integration to ADR-136..146 2026-05-29 08:09:23 -04:00
ADR-139-worldgraph-environmental-digital-twin.md docs(adr): add Implementation Status & Integration to ADR-136..146 2026-05-29 08:09:23 -04:00
ADR-140-semantic-state-record-and-agent-bridge.md docs(adr): add Implementation Status & Integration to ADR-136..146 2026-05-29 08:09:23 -04:00
ADR-141-bfld-privacy-control-plane-modes-attestation.md docs(adr): add Implementation Status & Integration to ADR-136..146 2026-05-29 08:09:23 -04:00
ADR-142-evolution-tracker-temporal-voxel-aggregation.md docs(adr): add Implementation Status & Integration to ADR-136..146 2026-05-29 08:09:23 -04:00
ADR-143-rf-slam-reflector-discovery-anchor-learning.md docs(adr): add Implementation Status & Integration to ADR-136..146 2026-05-29 08:09:23 -04:00
ADR-144-uwb-range-constraint-fusion.md docs(adr): add Implementation Status & Integration to ADR-136..146 2026-05-29 08:09:23 -04:00
ADR-145-ablation-eval-harness-privacy-leakage.md docs(adr): add Implementation Status & Integration to ADR-136..146 2026-05-29 08:09:23 -04:00
ADR-146-rf-encoder-multitask-heads-uncertainty.md docs(adr): add Implementation Status & Integration to ADR-136..146 2026-05-29 08:09:23 -04:00
ADR-147-benchmark-proof.md docs(adr-147): add real CSI benchmark — 208ms median, 3.98GB VRAM, 72 frames/sec 2026-05-29 19:56:28 -04:00
ADR-147-nvidia-cosmos-world-foundation-model-integration.md feat(worldmodel): ADR-147 — OccWorld world model integration, wifi-densepose-worldmodel v0.3.0 (#856) 2026-05-29 16:53:51 -04:00
ADR-148-drone-swarm-control-system.md feat(swarm): add ruview-swarm crate — drone swarm control system (ADR-148) (#862) 2026-05-30 16:00:59 -04:00
ADR-149-public-community-leaderboard-huggingface.md feat(aether-arena): benchmark-first scorer + witness chain + repeatability (M2/M5/M7) 2026-05-30 16:59:11 -04:00
ADR-149-swarm-benchmarking-evaluation-methodology.md feat(swarm): ADR-149 evaluation harness — GDOP, IQM+bootstrap CI, noise sweep (#875) 2026-05-30 17:38:49 -04:00
ADR-150-rf-foundation-encoder.md docs(adr-150): calibration thesis is task-general (action recognition) 2026-05-31 03:01:50 -04:00
ADR-151-room-calibration-specialist-training.md feat: per-room calibration system (ADR-151) + cognitum-v0 appliance integration spec (#989) 2026-06-10 15:21:09 -04:00
ADR-152-wifi-pose-sota-2026-intake.md ADR-152: WiFi-Pose SOTA 2026 intake — WiFlow-STD benchmark, Rust integrations, ADR-153 802.11bf layer, efficiency frontier (#1008) 2026-06-11 17:02:23 -04:00
ADR-153-ieee-802-11bf-sensing-protocol-layer.md ADR-152: WiFi-Pose SOTA 2026 intake — WiFlow-STD benchmark, Rust integrations, ADR-153 802.11bf layer, efficiency frontier (#1008) 2026-06-11 17:02:23 -04:00
README.md feat: per-room calibration system (ADR-151) + cognitum-v0 appliance integration spec (#989) 2026-06-10 15:21:09 -04:00

README.md

Architecture Decision Records

This folder contains 45 Architecture Decision Records (ADRs) that document every significant technical choice in the RuView / WiFi-DensePose project.

Why ADRs?

Building a system that turns WiFi signals into human pose estimation involves hundreds of non-obvious decisions: which signal processing algorithms to use, how to bridge ESP32 firmware to a Rust pipeline, whether to run inference on-device or on a server, how to handle multi-person separation with limited subcarriers.

ADRs capture the context, options considered, decision made, and consequences for each of these choices. They serve three purposes:

  1. Institutional memory — Six months from now, anyone (human or AI) can read why we chose IIR bandpass filters over FIR for vital sign extraction, not just see the code.

  2. AI-assisted development — When an AI agent works on this codebase, ADRs give it the constraints and rationale it needs to make changes that align with the existing architecture. Without them, AI-generated code tends to drift — reinventing patterns that already exist, contradicting earlier decisions, or optimizing for the wrong tradeoffs.

  3. Review checkpoints — Each ADR is a reviewable artifact. When a proposed change touches the architecture, the ADR forces the author to articulate tradeoffs before writing code, not after.

ADRs and Domain-Driven Design

The project uses Domain-Driven Design (DDD) to organize code into bounded contexts — each with its own language, types, and responsibilities. ADRs and DDD work together:

  • ADRs define boundaries: ADR-029 (RuvSense) established multistatic sensing as a separate bounded context from single-node CSI. ADR-042 (CHCI) defined a new aggregate root for coherent channel imaging.
  • DDD models define the language: The RuvSense domain model defines terms like "coherence gate", "dwell time", and "TDM slot" that ADRs reference precisely.
  • Together they prevent drift: An AI agent reading ADR-039 knows that edge processing tiers are configured via NVS keys, not compile-time flags — because the ADR says so. The DDD model tells it which aggregate owns that configuration.

How ADRs are structured

Each ADR follows a consistent format:

  • Context — What problem or gap prompted this decision
  • Decision — What we chose to do and how
  • Consequences — What improved, what got harder, and what risks remain
  • References — Related ADRs, papers, and code paths

Statuses: Proposed (under discussion), Accepted (approved and/or implemented), Superseded (replaced by a later ADR).

ADR Index

Hardware and firmware

ADR Title Status
ADR-012 ESP32 CSI Sensor Mesh for Distributed Sensing Accepted (partial)
ADR-018 ESP32 Development Implementation Path Proposed
ADR-028 ESP32 Capability Audit and Witness Record Accepted
ADR-029 RuvSense Multistatic Sensing Mode (TDM, channel hopping) Proposed
ADR-032 Multistatic Mesh Security Hardening Accepted
ADR-039 ESP32-S3 Edge Intelligence Pipeline (on-device vitals) Accepted (hardware-validated)
ADR-040 WASM Programmable Sensing (Tier 3) Accepted
ADR-041 WASM Module Collection (65 edge modules) Accepted (hardware-validated)
ADR-044 Provisioning Tool Enhancements Proposed
ADR-110 ESP32-C6 firmware extension — Wi-Fi 6 / 802.15.4 / TWT / LP-core Accepted, P1-P10 complete, firmware-side substrate closed at v0.7.0-esp32. Companion docs: WITNESS-LOG-110 (13 §A0.x entries · 99.56 % cross-board RX · 104.1 µs smoothed sync stdev · ≤100 µs target met), ADR-110-REVIEW-GUIDE (one-page reviewer tour), ADR-110-BRANCH-STATE (coordination map vs feat/adr-115-ha-mqtt-matter). Host decoders + tests: Python SyncPacketParser (10) + Rust wifi_densepose_hardware::SyncPacket (15), cross-language hex pin gates drift.

Signal processing and sensing

ADR Title Status
ADR-013 Feature-Level Sensing on Commodity Gear Accepted
ADR-014 SOTA Signal Processing Algorithms Accepted
ADR-021 Vital Sign Detection (breathing, heart rate) Partial
ADR-030 Persistent Field Model and Drift Detection Proposed
ADR-033 CRV Signal Line Sensing Integration Proposed
ADR-037 Multi-Person Pose Detection from Single ESP32 Proposed
ADR-042 Coherent Human Channel Imaging (beyond CSI) Proposed
ADR-134 First-Class Channel Impulse Response (CIR) Support Proposed
ADR-135 Empty-Room Baseline Calibration (per-subcarrier Welford statistics) Proposed

Machine learning and training

ADR Title Status
ADR-005 SONA Self-Learning for Pose Estimation Partial
ADR-006 GNN-Enhanced CSI Pattern Recognition Partial
ADR-015 Public Dataset Strategy (MM-Fi, Wi-Pose) Accepted
ADR-016 RuVector Training Pipeline Integration Accepted
ADR-017 RuVector Signal + MAT Integration Proposed
ADR-020 Migrate AI Inference to Rust (ONNX Runtime) Accepted
ADR-023 Trained DensePose Model with RuVector Pipeline Proposed
ADR-024 Project AETHER: Contrastive CSI Embeddings Required
ADR-027 Project MERIDIAN: Cross-Environment Generalization Proposed
ADR-149 AetherArena: public spatial-intelligence benchmark on Hugging Face Proposed
ADR-150 RF Foundation Encoder: pose-preserving, subject/room/device-invariant CSI embedding Proposed
ADR-151 Per-Room Calibration & Specialized Model Training (room-first → bank of small ruVector specialists) Proposed
ADR-152 WiFi-Pose SOTA 2026 Intake: geometry-conditioned calibration, external benchmarks, foundation-encoder recipe Proposed

Platform and UI

ADR Title Status
ADR-019 Sensing-Only UI with Gaussian Splats Accepted
ADR-022 Windows WiFi Enhanced Fidelity (multi-BSSID) Partial
ADR-025 macOS CoreWLAN WiFi Sensing Proposed
ADR-031 RuView Sensing-First RF Mode Proposed
ADR-034 Expo React Native Mobile App Accepted
ADR-035 Live Sensing UI Accuracy and Data Transparency Accepted
ADR-036 Training Pipeline UI Integration Proposed
ADR-043 Sensing Server UI API Completion (14 endpoints) Accepted
ADR-115 Home Assistant integration via MQTT auto-discovery + Matter bridge (HA-DISCO + HA-FABRIC + HA-MIND) Accepted (MQTT track) / Proposed (Matter SDK P8b)
ADR-147 adam-mode — light theme toggle for the three.js realtime demo Proposed
ADR-148 yoga-mode — yoga pose detection, classification, and scoring for the three.js realtime demo Proposed

Architecture and infrastructure

ADR Title Status
ADR-001 WiFi-Mat Disaster Detection Architecture Accepted
ADR-002 RuVector RVF Integration Strategy Superseded
ADR-003 RVF Cognitive Containers for CSI Proposed
ADR-004 HNSW Vector Search for Fingerprinting Partial
ADR-007 Post-Quantum Cryptography for Sensing Proposed
ADR-008 Distributed Consensus for Multi-AP Proposed
ADR-009 RVF WASM Runtime for Edge Deployment Proposed
ADR-010 Witness Chains for Audit Trail Integrity Proposed
ADR-011 Proof-of-Reality and Mock Elimination Proposed
ADR-026 Survivor Track Lifecycle (MAT crate) Accepted
ADR-038 Sublinear GOAP for Roadmap Optimization Proposed
ADR-095 rvCSI — Edge RF Sensing Runtime Platform Proposed
ADR-096 rvCSI — Crate Topology, the napi-c Shim, and the napi-rs Node Surface Proposed
ADR-097 Adopt rvCSI as RuView's primary CSI runtime (phased adoption) Proposed
ADR-098 Evaluate ruvnet/midstream for RuView's CSI / WebSocket / mesh pipeline Rejected
ADR-099 Adopt midstream as RuView's real-time introspection + low-latency tap Proposed

Related

  • DDD Domain Models — Bounded context definitions, aggregate roots, and ubiquitous language
  • User Guide — Setup, API reference, and hardware instructions
  • Build Guide — Building from source