perf(ruvector): ADR-084 Pass 1.5 — partial-sort heap in SketchBank::topk

Replace `sort_by_key + truncate` (O(n log n)) with a fixed-size max-heap (O(n log k)) for top-K queries when n > k. Fast path when n ≤ k stays on the simple sort. Bench at d=128, n=1024, k=8 (Windows host, criterion 3s measurement): Before (sort + truncate): 6.34 µs/op After (heap): 3.83 µs/op -39.4% / +1.65× faster Combined with the 32× memory shrink and 47.6 µs → 3.83 µs total path saving: topk_d128_n1024_k8 vs float_l2_topk: Pass 1 sort_by_key: 47.59 µs / 6.34 µs = 7.5× speedup Pass 1.5 heap: 47.59 µs / 3.83 µs = 12.4× speedup Now over the ADR-084 acceptance criterion of 8× minimum. Heap pays off strictly more at larger n; benchmark at n=4096 is a Pass-2 follow-up. Co-Authored-By: claude-flow <ruv@ruv.net>
bench(ruvector): ADR-084 acceptance — sketch-vs-float compare cost
2026-07-31 18:51:42 +00:00 · 2026-04-26 00:00:48 -04:00 · 2026-04-25 23:33:28 -04:00 · 2026-04-25 23:19:03 -04:00 · 2026-04-25 23:08:05 -04:00 · 2026-04-25 23:08:02 -04:00
810 changed files with 3811 additions and 658 deletions
@@ -79,13 +79,13 @@ jobs:
        path: |
          ~/.cargo/registry
          ~/.cargo/git
-          rust-port/wifi-densepose-rs/target
-        key: ${{ runner.os }}-cargo-${{ hashFiles('rust-port/wifi-densepose-rs/Cargo.lock') }}
+          v2/target
+        key: ${{ runner.os }}-cargo-${{ hashFiles('v2/Cargo.lock') }}
        restore-keys: |
          ${{ runner.os }}-cargo-

    - name: Run Rust tests
-      working-directory: rust-port/wifi-densepose-rs
+      working-directory: v2
      run: cargo test --workspace --no-default-features

  # Unit and Integration Tests
@@ -310,26 +310,27 @@ jobs:
    runs-on: ubuntu-latest
    needs: [code-quality, test, rust-tests, performance-test, docker-build, docs]
    if: always()
+    # GitHub Actions does not allow `secrets.X` directly in step-level `if:`
+    # expressions — only `env.X`. Promote the secret to env at job scope so
+    # the gating expression below is parseable.
+    env:
+      SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
    steps:
    - name: Notify Slack on success
-      if: ${{ secrets.SLACK_WEBHOOK_URL != '' && needs.code-quality.result == 'success' && needs.test.result == 'success' && needs.docker-build.result == 'success' }}
+      if: ${{ env.SLACK_WEBHOOK_URL != '' && needs.code-quality.result == 'success' && needs.test.result == 'success' && needs.docker-build.result == 'success' }}
      uses: 8398a7/action-slack@v3
      with:
        status: success
        channel: '#ci-cd'
        text: '✅ CI pipeline completed successfully for ${{ github.ref }}'
-      env:
-        SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}

    - name: Notify Slack on failure
-      if: ${{ secrets.SLACK_WEBHOOK_URL != '' && (needs.code-quality.result == 'failure' || needs.test.result == 'failure' || needs.docker-build.result == 'failure') }}
+      if: ${{ env.SLACK_WEBHOOK_URL != '' && (needs.code-quality.result == 'failure' || needs.test.result == 'failure' || needs.docker-build.result == 'failure') }}
      uses: 8398a7/action-slack@v3
      with:
        status: failure
        channel: '#ci-cd'
        text: '❌ CI pipeline failed for ${{ github.ref }}'
-      env:
-        SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}

    - name: Create GitHub Release
      if: github.ref == 'refs/heads/main' && needs.docker-build.result == 'success'
@@ -40,18 +40,18 @@ jobs:
          targets: ${{ matrix.target }}

      - name: Install frontend dependencies
-        working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/ui
+        working-directory: v2/crates/wifi-densepose-desktop/ui
        run: npm ci

      - name: Build frontend
-        working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/ui
+        working-directory: v2/crates/wifi-densepose-desktop/ui
        run: npm run build

      - name: Install Tauri CLI
        run: cargo install tauri-cli --version "^2.0.0"

      - name: Build Tauri app
-        working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop
+        working-directory: v2/crates/wifi-densepose-desktop
        run: cargo tauri build --target ${{ matrix.target }}
        env:
          TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }}
@@ -68,14 +68,14 @@ jobs:

      - name: Package macOS app
        run: |
-          cd rust-port/wifi-densepose-rs/target/${{ matrix.target }}/release/bundle/macos
+          cd v2/target/${{ matrix.target }}/release/bundle/macos
          zip -r "RuView-Desktop-${{ github.event.inputs.version || '0.4.0' }}-macos-${{ steps.arch.outputs.arch }}.zip" "RuView Desktop.app"

      - name: Upload macOS artifact
        uses: actions/upload-artifact@v4
        with:
          name: ruview-macos-${{ steps.arch.outputs.arch }}
-          path: rust-port/wifi-densepose-rs/target/${{ matrix.target }}/release/bundle/macos/*.zip
+          path: v2/target/${{ matrix.target }}/release/bundle/macos/*.zip

  build-windows:
    name: Build Windows
@@ -93,18 +93,18 @@ jobs:
        uses: dtolnay/rust-toolchain@stable

      - name: Install frontend dependencies
-        working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/ui
+        working-directory: v2/crates/wifi-densepose-desktop/ui
        run: npm ci

      - name: Build frontend
-        working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/ui
+        working-directory: v2/crates/wifi-densepose-desktop/ui
        run: npm run build

      - name: Install Tauri CLI
        run: cargo install tauri-cli --version "^2.0.0"

      - name: Build Tauri app
-        working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop
+        working-directory: v2/crates/wifi-densepose-desktop
        run: cargo tauri build
        env:
          TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }}
@@ -114,13 +114,13 @@ jobs:
        uses: actions/upload-artifact@v4
        with:
          name: ruview-windows-msi
-          path: rust-port/wifi-densepose-rs/target/release/bundle/msi/*.msi
+          path: v2/target/release/bundle/msi/*.msi

      - name: Upload Windows NSIS artifact
        uses: actions/upload-artifact@v4
        with:
          name: ruview-windows-nsis
-          path: rust-port/wifi-densepose-rs/target/release/bundle/nsis/*.exe
+          path: v2/target/release/bundle/nsis/*.exe

  create-release:
    name: Create Release
@@ -377,6 +377,11 @@ jobs:
    runs-on: ubuntu-latest
    needs: [sast, dependency-scan, container-scan, iac-scan, secret-scan, license-scan, compliance-check]
    if: always()
+    # Promote secret to env-scope so the gating `if:` on the Slack-notify
+    # step below is parseable (GitHub Actions rejects `secrets.X` in
+    # step-level `if:` expressions).
+    env:
+      SECURITY_SLACK_WEBHOOK_URL: ${{ secrets.SECURITY_SLACK_WEBHOOK_URL }}
    steps:
    - name: Download all artifacts
      uses: actions/download-artifact@v4
@@ -402,8 +407,11 @@ jobs:
        name: security-summary
        path: security-summary.md

+    # GitHub Actions does not allow `secrets.X` in step-level `if:` —
+    # use env.X instead. Inherits SECURITY_SLACK_WEBHOOK_URL from the
+    # job-level env block (added below).
    - name: Notify security team on critical findings
-      if: ${{ secrets.SECURITY_SLACK_WEBHOOK_URL != '' && (needs.sast.result == 'failure' || needs.dependency-scan.result == 'failure' || needs.container-scan.result == 'failure') }}
+      if: ${{ env.SECURITY_SLACK_WEBHOOK_URL != '' && (needs.sast.result == 'failure' || needs.dependency-scan.result == 'failure' || needs.container-scan.result == 'failure') }}
      uses: 8398a7/action-slack@v3
      with:
        status: failure
@@ -415,7 +423,7 @@ jobs:
          Workflow: ${{ github.workflow }}
          Please review the security scan results immediately.
      env:
-        SLACK_WEBHOOK_URL: ${{ secrets.SECURITY_SLACK_WEBHOOK_URL }}
+        SLACK_WEBHOOK_URL: ${{ env.SECURITY_SLACK_WEBHOOK_URL }}

    - name: Create security issue on critical findings
      if: needs.sast.result == 'failure' || needs.dependency-scan.result == 'failure'
@@ -4,16 +4,16 @@ on:
  push:
    branches: [ main, master, 'claude/**' ]
    paths:
-      - 'v1/src/core/**'
-      - 'v1/src/hardware/**'
-      - 'v1/data/proof/**'
+      - 'archive/v1/src/core/**'
+      - 'archive/v1/src/hardware/**'
+      - 'archive/v1/data/proof/**'
      - '.github/workflows/verify-pipeline.yml'
  pull_request:
    branches: [ main, master ]
    paths:
-      - 'v1/src/core/**'
-      - 'v1/src/hardware/**'
-      - 'v1/data/proof/**'
+      - 'archive/v1/src/core/**'
+      - 'archive/v1/src/hardware/**'
+      - 'archive/v1/data/proof/**'
      - '.github/workflows/verify-pipeline.yml'
  workflow_dispatch:

@@ -37,19 +37,19 @@ jobs:
      - name: Install pinned dependencies
        run: |
          python -m pip install --upgrade pip
-          pip install -r v1/requirements-lock.txt
+          pip install -r archive/v1/requirements-lock.txt

      - name: Verify reference signal is reproducible
        run: |
          echo "=== Regenerating reference signal ==="
-          python v1/data/proof/generate_reference_signal.py
+          python archive/v1/data/proof/generate_reference_signal.py
          echo ""
          echo "=== Checking data file matches committed version ==="
          # The regenerated file should be identical to the committed one
          # (We compare the metadata file since data file is large)
          python -c "
          import json, hashlib
-          with open('v1/data/proof/sample_csi_meta.json') as f:
+          with open('archive/v1/data/proof/sample_csi_meta.json') as f:
              meta = json.load(f)
          assert meta['is_synthetic'] == True, 'Metadata must mark signal as synthetic'
          assert meta['numpy_seed'] == 42, 'Seed must be 42'
@@ -76,7 +76,7 @@ jobs:
          echo "=== Scanning for unseeded np.random usage in production code ==="
          # Search for np.random calls without a seed in production code
          # Exclude test files, proof data generators, and known parser placeholders
-          VIOLATIONS=$(grep -rn "np\.random\." v1/src/ \
+          VIOLATIONS=$(grep -rn "np\.random\." archive/v1/src/ \
            --include="*.py" \
            --exclude-dir="__pycache__" \
            | grep -v "np\.random\.RandomState" \
@@ -7,6 +7,32 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

 ## [Unreleased]

+### Fixed
+- **Ghost skeletons in live UI with multi-node ESP32 setups** (#420, ADR-082) —
+  `tracker_bridge::tracker_to_person_detections` documented itself as filtering
+  to `is_alive()` tracks but in fact passed every non-Terminated track to the
+  WebSocket stream. `Lost` tracks — kept inside `reid_window` for
+  re-identification but not currently observed — were rendering as phantom
+  skeletons, accumulating to 22-24 with 3 nodes × 10 Hz CSI while
+  `estimated_persons` correctly reported 1. Added
+  `PoseTracker::confirmed_tracks()` (Tentative + Active only) and rewired the
+  bridge to use it. Lost tracks remain in the tracker for re-ID; they just
+  no longer ship to the UI. Regression test:
+  `test_lost_tracks_excluded_from_bridge_output`.
+- **Rust workspace build with `--no-default-features` on Windows** (#366, #415) —
+  `wifi-densepose-mat`, `wifi-densepose-sensing-server`, and `wifi-densepose-train`
+  all depended on `wifi-densepose-signal` with default features enabled, which
+  pulled `ndarray-linalg` → `openblas-src` → vcpkg/system-BLAS through the entire
+  workspace. `--no-default-features` at the workspace root then could not opt out
+  of BLAS, breaking `cargo build` / `cargo test` on Windows without vcpkg. All
+  three consumers now declare `wifi-densepose-signal = { ..., default-features = false }`,
+  so `cargo test --workspace --no-default-features` builds cleanly without
+  vcpkg/openblas. Validated: 1,538 tests pass, 0 fail, 8 ignored.
+- **`signal` test `test_estimate_occupancy_noise_only` failed without `eigenvalue`** —
+  The test unwrapped the `NotCalibrated` stub returned when the BLAS-backed
+  `estimate_occupancy` is compiled out. Gated with `#[cfg(feature = "eigenvalue")]`
+  so it only runs when the real implementation is available.
+
 ## [v0.6.2-esp32] — 2026-04-20

 Firmware release cutting ADR-081 and the Timer Svc stack fix discovered during
@@ -494,7 +520,7 @@ Major release: complete Rust sensing server, full DensePose training pipeline, R
 - `PresenceClassifier` — rule-based 3-state classification (ABSENT / PRESENT_STILL / ACTIVE)
 - Cross-receiver agreement scoring for multi-AP confidence boosting
 - WebSocket sensing server (`ws_server.py`) broadcasting JSON at 2 Hz
- Deterministic CSI proof bundles for reproducible verification (`v1/data/proof/`)
+- Deterministic CSI proof bundles for reproducible verification (`archive/v1/data/proof/`)
 - Commodity sensing unit tests (`b391638`)

 ### Changed
@@ -502,7 +528,7 @@ Major release: complete Rust sensing server, full DensePose training pipeline, R

 ### Fixed
 - Review fixes for end-to-end training pipeline (`45f0304`)
- Dockerfile paths updated from `src/` to `v1/src/` (`7872987`)
+- Dockerfile paths updated from `src/` to `archive/v1/src/` (`7872987`)
 - IoT profile installer instructions updated for aggregator CLI (`f460097`)
 - `process.env` reference removed from browser ES module (`e320bc9`)

@@ -3,7 +3,7 @@
 ## Project: wifi-densepose

 WiFi-based human pose estimation using Channel State Information (CSI).
-Dual codebase: Python v1 (`v1/`) and Rust port (`rust-port/wifi-densepose-rs/`).
+Dual codebase: Python v1 (`v1/`) and Rust port (`v2/`).
 ### Key Rust Crates
 | Crate | Description |
 |-------|-------------|
@@ -84,17 +84,17 @@ All 5 ruvector crates integrated in workspace:
 ### Build & Test Commands (this repo)
 ```bash
 # Rust — full workspace tests (1,031+ tests, ~2 min)
-cd rust-port/wifi-densepose-rs
+cd v2
 cargo test --workspace --no-default-features

 # Rust — single crate check (no GPU needed)
 cargo check -p wifi-densepose-train --no-default-features

 # Python — deterministic proof verification (SHA-256)
-python v1/data/proof/verify.py
+python archive/v1/data/proof/verify.py

 # Python — test suite
-cd v1 && python -m pytest tests/ -x -q
+cd archive/v1 && python -m pytest tests/ -x -q
 ```

 ### ESP32 Firmware Build (Windows — Python subprocess required)
@@ -151,12 +151,12 @@ Crates must be published in dependency order:

 ```bash
 # 1. Rust tests — must be 1,031+ passed, 0 failed
-cd rust-port/wifi-densepose-rs
+cd v2
 cargo test --workspace --no-default-features

 # 2. Python proof — must print VERDICT: PASS
-cd ../..
-python v1/data/proof/verify.py
+cd ..
+python archive/v1/data/proof/verify.py

 # 3. Generate witness bundle (includes both above + firmware hashes)
 bash scripts/generate-witness-bundle.sh
@@ -169,8 +169,8 @@ bash VERIFY.sh
 **If the Python proof hash changes** (e.g., numpy/scipy version update):
 ```bash
 # Regenerate the expected hash, then verify it passes
-python v1/data/proof/verify.py --generate-hash
-python v1/data/proof/verify.py
+python archive/v1/data/proof/verify.py --generate-hash
+python archive/v1/data/proof/verify.py
 ```

 **Witness bundle contents** (`dist/witness-bundle-ADR028-<sha>.tar.gz`):
@@ -183,9 +183,9 @@ python v1/data/proof/verify.py
 - `VERIFY.sh` — One-command self-verification for recipients

 **Key proof artifacts:**
- `v1/data/proof/verify.py` — Trust Kill Switch: feeds reference signal through production pipeline, hashes output
- `v1/data/proof/expected_features.sha256` — Published expected hash
- `v1/data/proof/sample_csi_data.json` — 1,000 synthetic CSI frames (seed=42)
+- `archive/v1/data/proof/verify.py` — Trust Kill Switch: feeds reference signal through production pipeline, hashes output
+- `archive/v1/data/proof/expected_features.sha256` — Published expected hash
+- `archive/v1/data/proof/sample_csi_data.json` — 1,000 synthetic CSI frames (seed=42)
 - `docs/WITNESS-LOG-028.md` — 11-step reproducible verification procedure
 - `docs/adr/ADR-028-esp32-capability-audit.md` — Complete audit record

@@ -211,13 +211,13 @@ Active feature branch: `ruvsense-full-implementation` (PR #77)
 - NEVER save to root folder — use the directories below
 - `docs/adr/` — Architecture Decision Records (43 ADRs)
 - `docs/ddd/` — Domain-Driven Design models
- `rust-port/wifi-densepose-rs/crates/` — Rust workspace crates (15 crates)
- `rust-port/wifi-densepose-rs/crates/wifi-densepose-signal/src/ruvsense/` — RuvSense multistatic modules (14 files)
- `rust-port/wifi-densepose-rs/crates/wifi-densepose-ruvector/src/viewpoint/` — Cross-viewpoint fusion (5 files)
- `rust-port/wifi-densepose-rs/crates/wifi-densepose-hardware/src/esp32/` — ESP32 TDM protocol
+- `v2/crates/` — Rust workspace crates (15 crates)
+- `v2/crates/wifi-densepose-signal/src/ruvsense/` — RuvSense multistatic modules (14 files)
+- `v2/crates/wifi-densepose-ruvector/src/viewpoint/` — Cross-viewpoint fusion (5 files)
+- `v2/crates/wifi-densepose-hardware/src/esp32/` — ESP32 TDM protocol
 - `firmware/esp32-csi-node/main/` — ESP32 C firmware (channel hopping, NVS config, TDM)
- `v1/src/` — Python source (core, hardware, services, api)
- `v1/data/proof/` — Deterministic CSI proof bundles
+- `archive/v1/src/` — Python source (core, hardware, services, api)
+- `archive/v1/data/proof/` — Deterministic CSI proof bundles
 - `.claude-flow/` — Claude Flow coordination state (committed for team sharing)
 - `.claude/` — Claude Code settings, agents, memory (committed for team sharing)

@@ -243,7 +243,7 @@ Active feature branch: `ruvsense-full-implementation` (PR #77)
 Before merging any PR, verify each item applies and is addressed:

 1. **Rust tests pass** — `cargo test --workspace --no-default-features` (1,031+ passed, 0 failed)
-2. **Python proof passes** — `python v1/data/proof/verify.py` (VERDICT: PASS)
+2. **Python proof passes** — `python archive/v1/data/proof/verify.py` (VERDICT: PASS)
 3. **README.md** — Update platform tables, crate descriptions, hardware tables, feature summaries if scope changed
 4. **CLAUDE.md** — Update crate table, ADR list, module tables, version if scope changed
 5. **CHANGELOG.md** — Add entry under `[Unreleased]` with what was added/fixed/changed
@@ -92,7 +92,7 @@ node scripts/mincut-person-counter.js --port 5006  # Correct person counting
 > | **Research NIC** | Intel 5300 / Atheros AR9580 | ~$50-100 | Yes | Full CSI with 3x3 MIMO |
 > | **Any WiFi** | Windows, macOS, or Linux laptop | $0 | No | RSSI-only: coarse presence and motion |
 >
-> No hardware? Verify the signal processing pipeline with the deterministic reference signal: `python v1/data/proof/verify.py`
+> No hardware? Verify the signal processing pipeline with the deterministic reference signal: `python archive/v1/data/proof/verify.py`
 >
 ---

@@ -110,7 +110,7 @@ RuView now generates **real-time 3D point clouds** by fusing camera depth + WiFi

 **Quick start:**
 ```bash
-cd rust-port/wifi-densepose-rs
+cd v2
 cargo build --release -p wifi-densepose-pointcloud
 ./target/release/ruview-pointcloud serve --bind 127.0.0.1:9880
 # Open http://localhost:9880 for live 3D viewer
@@ -381,7 +381,7 @@ See [ADR-069](docs/adr/ADR-069-cognitum-seed-csi-pipeline.md), [ADR-071](docs/ad
 | [Build Guide](docs/build-guide.md) | Building from source (Rust and Python) |
 | [Architecture Decisions](docs/adr/README.md) | 79 ADRs — why each technical choice was made, organized by domain (hardware, signal processing, ML, platform, infrastructure) |
 | [Domain Models](docs/ddd/README.md) | 7 DDD models (RuvSense, Signal Processing, Training Pipeline, Hardware Platform, Sensing Server, WiFi-Mat, CHCI) — bounded contexts, aggregates, domain events, and ubiquitous language |
-| [Desktop App](rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/README.md) | **WIP** — Tauri v2 desktop app for node management, OTA updates, WASM deployment, and mesh visualization |
+| [Desktop App](v2/crates/wifi-densepose-desktop/README.md) | **WIP** — Tauri v2 desktop app for node management, OTA updates, WASM deployment, and mesh visualization |
 | [Medical Examples](examples/medical/README.md) | Contactless blood pressure, heart rate, breathing rate via 60 GHz mmWave radar — $15 hardware, no wearable |

 ---
@@ -581,24 +581,24 @@ Small programs that run directly on the ESP32 sensor — no internet needed, no
 | ⚛️ | [**Quantum-Inspired**](docs/edge-modules/autonomous.md) | Uses quantum-inspired math to map room-wide signal coherence and search for optimal sensor configurations |
 | 🤖 | [**Autonomous & Exotic**](docs/edge-modules/autonomous.md) | Self-managing sensor mesh — auto-heals dropped nodes, plans its own actions, and explores experimental signal representations |

-All implemented modules are `no_std` Rust, share a [common utility library](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/vendor_common.rs), and talk to the host through a 12-function API. Full documentation: [**Edge Modules Guide**](docs/edge-modules/README.md). See the [complete implemented module list](#edge-module-list) below.
+All implemented modules are `no_std` Rust, share a [common utility library](v2/crates/wifi-densepose-wasm-edge/src/vendor_common.rs), and talk to the host through a 12-function API. Full documentation: [**Edge Modules Guide**](docs/edge-modules/README.md). See the [complete implemented module list](#edge-module-list) below.

 <details id="edge-module-list">
 <summary><strong>🧩 Edge Intelligence — <a href="docs/edge-modules/README.md">All 65 Modules Implemented</a></strong> (ADR-041 complete)</summary>

-All 60 modules are implemented, tested (609 tests passing), and ready to deploy. They compile to `wasm32-unknown-unknown`, run on ESP32-S3 via WASM3, and share a [common utility library](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/vendor_common.rs). Source: [`crates/wifi-densepose-wasm-edge/src/`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/)
+All 60 modules are implemented, tested (609 tests passing), and ready to deploy. They compile to `wasm32-unknown-unknown`, run on ESP32-S3 via WASM3, and share a [common utility library](v2/crates/wifi-densepose-wasm-edge/src/vendor_common.rs). Source: [`crates/wifi-densepose-wasm-edge/src/`](v2/crates/wifi-densepose-wasm-edge/src/)

 **Core modules** (ADR-040 flagship + early implementations):

 | Module | File | What It Does |
 |--------|------|-------------|
-| Gesture Classifier | [`gesture.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/gesture.rs) | DTW template matching for hand gestures |
-| Coherence Filter | [`coherence.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/coherence.rs) | Phase coherence gating for signal quality |
-| Adversarial Detector | [`adversarial.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/adversarial.rs) | Detects physically impossible signal patterns |
-| Intrusion Detector | [`intrusion.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/intrusion.rs) | Human vs non-human motion classification |
-| Occupancy Counter | [`occupancy.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/occupancy.rs) | Zone-level person counting |
-| Vital Trend | [`vital_trend.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/vital_trend.rs) | Long-term breathing and heart rate trending |
-| RVF Parser | [`rvf.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/rvf.rs) | RVF container format parsing |
+| Gesture Classifier | [`gesture.rs`](v2/crates/wifi-densepose-wasm-edge/src/gesture.rs) | DTW template matching for hand gestures |
+| Coherence Filter | [`coherence.rs`](v2/crates/wifi-densepose-wasm-edge/src/coherence.rs) | Phase coherence gating for signal quality |
+| Adversarial Detector | [`adversarial.rs`](v2/crates/wifi-densepose-wasm-edge/src/adversarial.rs) | Detects physically impossible signal patterns |
+| Intrusion Detector | [`intrusion.rs`](v2/crates/wifi-densepose-wasm-edge/src/intrusion.rs) | Human vs non-human motion classification |
+| Occupancy Counter | [`occupancy.rs`](v2/crates/wifi-densepose-wasm-edge/src/occupancy.rs) | Zone-level person counting |
+| Vital Trend | [`vital_trend.rs`](v2/crates/wifi-densepose-wasm-edge/src/vital_trend.rs) | Long-term breathing and heart rate trending |
+| RVF Parser | [`rvf.rs`](v2/crates/wifi-densepose-wasm-edge/src/rvf.rs) | RVF container format parsing |

 **Vendor-integrated modules** (24 modules, ADR-041 Category 7):

@@ -606,128 +606,128 @@ All 60 modules are implemented, tested (609 tests passing), and ready to deploy.

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| Flash Attention | [`sig_flash_attention.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/sig_flash_attention.rs) | Tiled attention over 8 subcarrier groups — finds spatial focus regions and entropy | S (<5ms) |
-| Coherence Gate | [`sig_coherence_gate.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/sig_coherence_gate.rs) | Z-score phasor gating with hysteresis: Accept / PredictOnly / Reject / Recalibrate | L (<2ms) |
-| Temporal Compress | [`sig_temporal_compress.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/sig_temporal_compress.rs) | 3-tier adaptive quantization (8-bit hot / 5-bit warm / 3-bit cold) | L (<2ms) |
-| Sparse Recovery | [`sig_sparse_recovery.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/sig_sparse_recovery.rs) | ISTA L1 reconstruction for dropped subcarriers | H (<10ms) |
-| Person Match | [`sig_mincut_person_match.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/sig_mincut_person_match.rs) | Hungarian-lite bipartite assignment for multi-person tracking | S (<5ms) |
-| Optimal Transport | [`sig_optimal_transport.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/sig_optimal_transport.rs) | Sliced Wasserstein-1 distance with 4 projections | L (<2ms) |
+| Flash Attention | [`sig_flash_attention.rs`](v2/crates/wifi-densepose-wasm-edge/src/sig_flash_attention.rs) | Tiled attention over 8 subcarrier groups — finds spatial focus regions and entropy | S (<5ms) |
+| Coherence Gate | [`sig_coherence_gate.rs`](v2/crates/wifi-densepose-wasm-edge/src/sig_coherence_gate.rs) | Z-score phasor gating with hysteresis: Accept / PredictOnly / Reject / Recalibrate | L (<2ms) |
+| Temporal Compress | [`sig_temporal_compress.rs`](v2/crates/wifi-densepose-wasm-edge/src/sig_temporal_compress.rs) | 3-tier adaptive quantization (8-bit hot / 5-bit warm / 3-bit cold) | L (<2ms) |
+| Sparse Recovery | [`sig_sparse_recovery.rs`](v2/crates/wifi-densepose-wasm-edge/src/sig_sparse_recovery.rs) | ISTA L1 reconstruction for dropped subcarriers | H (<10ms) |
+| Person Match | [`sig_mincut_person_match.rs`](v2/crates/wifi-densepose-wasm-edge/src/sig_mincut_person_match.rs) | Hungarian-lite bipartite assignment for multi-person tracking | S (<5ms) |
+| Optimal Transport | [`sig_optimal_transport.rs`](v2/crates/wifi-densepose-wasm-edge/src/sig_optimal_transport.rs) | Sliced Wasserstein-1 distance with 4 projections | L (<2ms) |

 **🧠 Adaptive Learning** — On-device learning without cloud connectivity

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| DTW Gesture Learn | [`lrn_dtw_gesture_learn.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/lrn_dtw_gesture_learn.rs) | User-teachable gesture recognition — 3-rehearsal protocol, 16 templates | S (<5ms) |
-| Anomaly Attractor | [`lrn_anomaly_attractor.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/lrn_anomaly_attractor.rs) | 4D dynamical system attractor classification with Lyapunov exponents | H (<10ms) |
-| Meta Adapt | [`lrn_meta_adapt.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/lrn_meta_adapt.rs) | Hill-climbing self-optimization with safety rollback | L (<2ms) |
-| EWC Lifelong | [`lrn_ewc_lifelong.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/lrn_ewc_lifelong.rs) | Elastic Weight Consolidation — remembers past tasks while learning new ones | S (<5ms) |
+| DTW Gesture Learn | [`lrn_dtw_gesture_learn.rs`](v2/crates/wifi-densepose-wasm-edge/src/lrn_dtw_gesture_learn.rs) | User-teachable gesture recognition — 3-rehearsal protocol, 16 templates | S (<5ms) |
+| Anomaly Attractor | [`lrn_anomaly_attractor.rs`](v2/crates/wifi-densepose-wasm-edge/src/lrn_anomaly_attractor.rs) | 4D dynamical system attractor classification with Lyapunov exponents | H (<10ms) |
+| Meta Adapt | [`lrn_meta_adapt.rs`](v2/crates/wifi-densepose-wasm-edge/src/lrn_meta_adapt.rs) | Hill-climbing self-optimization with safety rollback | L (<2ms) |
+| EWC Lifelong | [`lrn_ewc_lifelong.rs`](v2/crates/wifi-densepose-wasm-edge/src/lrn_ewc_lifelong.rs) | Elastic Weight Consolidation — remembers past tasks while learning new ones | S (<5ms) |

 **🗺️ Spatial Reasoning** — Location, proximity, and influence mapping

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| PageRank Influence | [`spt_pagerank_influence.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/spt_pagerank_influence.rs) | 4x4 cross-correlation graph with power iteration PageRank | L (<2ms) |
-| Micro HNSW | [`spt_micro_hnsw.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/spt_micro_hnsw.rs) | 64-vector navigable small-world graph for nearest-neighbor search | S (<5ms) |
-| Spiking Tracker | [`spt_spiking_tracker.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/spt_spiking_tracker.rs) | 32 LIF neurons + 4 output zone neurons with STDP learning | S (<5ms) |
+| PageRank Influence | [`spt_pagerank_influence.rs`](v2/crates/wifi-densepose-wasm-edge/src/spt_pagerank_influence.rs) | 4x4 cross-correlation graph with power iteration PageRank | L (<2ms) |
+| Micro HNSW | [`spt_micro_hnsw.rs`](v2/crates/wifi-densepose-wasm-edge/src/spt_micro_hnsw.rs) | 64-vector navigable small-world graph for nearest-neighbor search | S (<5ms) |
+| Spiking Tracker | [`spt_spiking_tracker.rs`](v2/crates/wifi-densepose-wasm-edge/src/spt_spiking_tracker.rs) | 32 LIF neurons + 4 output zone neurons with STDP learning | S (<5ms) |

 **⏱️ Temporal Analysis** — Activity patterns, logic verification, autonomous planning

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| Pattern Sequence | [`tmp_pattern_sequence.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/tmp_pattern_sequence.rs) | Activity routine detection and deviation alerts | S (<5ms) |
-| Temporal Logic Guard | [`tmp_temporal_logic_guard.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/tmp_temporal_logic_guard.rs) | LTL formula verification on CSI event streams | S (<5ms) |
-| GOAP Autonomy | [`tmp_goap_autonomy.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/tmp_goap_autonomy.rs) | Goal-Oriented Action Planning for autonomous module management | S (<5ms) |
+| Pattern Sequence | [`tmp_pattern_sequence.rs`](v2/crates/wifi-densepose-wasm-edge/src/tmp_pattern_sequence.rs) | Activity routine detection and deviation alerts | S (<5ms) |
+| Temporal Logic Guard | [`tmp_temporal_logic_guard.rs`](v2/crates/wifi-densepose-wasm-edge/src/tmp_temporal_logic_guard.rs) | LTL formula verification on CSI event streams | S (<5ms) |
+| GOAP Autonomy | [`tmp_goap_autonomy.rs`](v2/crates/wifi-densepose-wasm-edge/src/tmp_goap_autonomy.rs) | Goal-Oriented Action Planning for autonomous module management | S (<5ms) |

 **🛡️ AI Security** — Tamper detection and behavioral anomaly profiling

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| Prompt Shield | [`ais_prompt_shield.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ais_prompt_shield.rs) | FNV-1a replay detection, injection detection (10x amplitude), jamming (SNR) | L (<2ms) |
-| Behavioral Profiler | [`ais_behavioral_profiler.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ais_behavioral_profiler.rs) | 6D behavioral profile with Mahalanobis anomaly scoring | S (<5ms) |
+| Prompt Shield | [`ais_prompt_shield.rs`](v2/crates/wifi-densepose-wasm-edge/src/ais_prompt_shield.rs) | FNV-1a replay detection, injection detection (10x amplitude), jamming (SNR) | L (<2ms) |
+| Behavioral Profiler | [`ais_behavioral_profiler.rs`](v2/crates/wifi-densepose-wasm-edge/src/ais_behavioral_profiler.rs) | 6D behavioral profile with Mahalanobis anomaly scoring | S (<5ms) |

 **⚛️ Quantum-Inspired** — Quantum computing metaphors applied to CSI analysis

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| Quantum Coherence | [`qnt_quantum_coherence.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/qnt_quantum_coherence.rs) | Bloch sphere mapping, Von Neumann entropy, decoherence detection | S (<5ms) |
-| Interference Search | [`qnt_interference_search.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/qnt_interference_search.rs) | 16 room-state hypotheses with Grover-inspired oracle + diffusion | S (<5ms) |
+| Quantum Coherence | [`qnt_quantum_coherence.rs`](v2/crates/wifi-densepose-wasm-edge/src/qnt_quantum_coherence.rs) | Bloch sphere mapping, Von Neumann entropy, decoherence detection | S (<5ms) |
+| Interference Search | [`qnt_interference_search.rs`](v2/crates/wifi-densepose-wasm-edge/src/qnt_interference_search.rs) | 16 room-state hypotheses with Grover-inspired oracle + diffusion | S (<5ms) |

 **🤖 Autonomous Systems** — Self-governing and self-healing behaviors

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| Psycho-Symbolic | [`aut_psycho_symbolic.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/aut_psycho_symbolic.rs) | 16-rule forward-chaining knowledge base with contradiction detection | S (<5ms) |
-| Self-Healing Mesh | [`aut_self_healing_mesh.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/aut_self_healing_mesh.rs) | 8-node mesh with health tracking, degradation/recovery, coverage healing | S (<5ms) |
+| Psycho-Symbolic | [`aut_psycho_symbolic.rs`](v2/crates/wifi-densepose-wasm-edge/src/aut_psycho_symbolic.rs) | 16-rule forward-chaining knowledge base with contradiction detection | S (<5ms) |
+| Self-Healing Mesh | [`aut_self_healing_mesh.rs`](v2/crates/wifi-densepose-wasm-edge/src/aut_self_healing_mesh.rs) | 8-node mesh with health tracking, degradation/recovery, coverage healing | S (<5ms) |

 **🔮 Exotic (Vendor)** — Novel mathematical models for CSI interpretation

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| Time Crystal | [`exo_time_crystal.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/exo_time_crystal.rs) | Autocorrelation subharmonic detection in 256-frame history | S (<5ms) |
-| Hyperbolic Space | [`exo_hyperbolic_space.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/exo_hyperbolic_space.rs) | Poincare ball embedding with 32 reference locations, hyperbolic distance | S (<5ms) |
+| Time Crystal | [`exo_time_crystal.rs`](v2/crates/wifi-densepose-wasm-edge/src/exo_time_crystal.rs) | Autocorrelation subharmonic detection in 256-frame history | S (<5ms) |
+| Hyperbolic Space | [`exo_hyperbolic_space.rs`](v2/crates/wifi-densepose-wasm-edge/src/exo_hyperbolic_space.rs) | Poincare ball embedding with 32 reference locations, hyperbolic distance | S (<5ms) |

 **🏥 Medical & Health** (Category 1) — Contactless health monitoring

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| Sleep Apnea | [`med_sleep_apnea.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/med_sleep_apnea.rs) | Detects breathing pauses during sleep | S (<5ms) |
-| Cardiac Arrhythmia | [`med_cardiac_arrhythmia.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/med_cardiac_arrhythmia.rs) | Monitors heart rate for irregular rhythms | S (<5ms) |
-| Respiratory Distress | [`med_respiratory_distress.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/med_respiratory_distress.rs) | Alerts on abnormal breathing patterns | S (<5ms) |
-| Gait Analysis | [`med_gait_analysis.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/med_gait_analysis.rs) | Tracks walking patterns and detects changes | S (<5ms) |
-| Seizure Detection | [`med_seizure_detect.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/med_seizure_detect.rs) | 6-state machine for tonic-clonic seizure recognition | S (<5ms) |
+| Sleep Apnea | [`med_sleep_apnea.rs`](v2/crates/wifi-densepose-wasm-edge/src/med_sleep_apnea.rs) | Detects breathing pauses during sleep | S (<5ms) |
+| Cardiac Arrhythmia | [`med_cardiac_arrhythmia.rs`](v2/crates/wifi-densepose-wasm-edge/src/med_cardiac_arrhythmia.rs) | Monitors heart rate for irregular rhythms | S (<5ms) |
+| Respiratory Distress | [`med_respiratory_distress.rs`](v2/crates/wifi-densepose-wasm-edge/src/med_respiratory_distress.rs) | Alerts on abnormal breathing patterns | S (<5ms) |
+| Gait Analysis | [`med_gait_analysis.rs`](v2/crates/wifi-densepose-wasm-edge/src/med_gait_analysis.rs) | Tracks walking patterns and detects changes | S (<5ms) |
+| Seizure Detection | [`med_seizure_detect.rs`](v2/crates/wifi-densepose-wasm-edge/src/med_seizure_detect.rs) | 6-state machine for tonic-clonic seizure recognition | S (<5ms) |

 **🔐 Security & Safety** (Category 2) — Perimeter and threat detection

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| Perimeter Breach | [`sec_perimeter_breach.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/sec_perimeter_breach.rs) | Detects boundary crossings with approach/departure | S (<5ms) |
-| Weapon Detection | [`sec_weapon_detect.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/sec_weapon_detect.rs) | Metal anomaly detection via CSI amplitude shifts | S (<5ms) |
-| Tailgating | [`sec_tailgating.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/sec_tailgating.rs) | Detects unauthorized follow-through at access points | S (<5ms) |
-| Loitering | [`sec_loitering.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/sec_loitering.rs) | Alerts when someone lingers too long in a zone | S (<5ms) |
-| Panic Motion | [`sec_panic_motion.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/sec_panic_motion.rs) | Detects fleeing, struggling, or panic movement | S (<5ms) |
+| Perimeter Breach | [`sec_perimeter_breach.rs`](v2/crates/wifi-densepose-wasm-edge/src/sec_perimeter_breach.rs) | Detects boundary crossings with approach/departure | S (<5ms) |
+| Weapon Detection | [`sec_weapon_detect.rs`](v2/crates/wifi-densepose-wasm-edge/src/sec_weapon_detect.rs) | Metal anomaly detection via CSI amplitude shifts | S (<5ms) |
+| Tailgating | [`sec_tailgating.rs`](v2/crates/wifi-densepose-wasm-edge/src/sec_tailgating.rs) | Detects unauthorized follow-through at access points | S (<5ms) |
+| Loitering | [`sec_loitering.rs`](v2/crates/wifi-densepose-wasm-edge/src/sec_loitering.rs) | Alerts when someone lingers too long in a zone | S (<5ms) |
+| Panic Motion | [`sec_panic_motion.rs`](v2/crates/wifi-densepose-wasm-edge/src/sec_panic_motion.rs) | Detects fleeing, struggling, or panic movement | S (<5ms) |

 **🏢 Smart Building** (Category 3) — Automation and energy efficiency

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| HVAC Presence | [`bld_hvac_presence.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/bld_hvac_presence.rs) | Occupancy-driven HVAC control with departure countdown | S (<5ms) |
-| Lighting Zones | [`bld_lighting_zones.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/bld_lighting_zones.rs) | Auto-dim/off lighting based on zone activity | S (<5ms) |
-| Elevator Count | [`bld_elevator_count.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/bld_elevator_count.rs) | Counts people entering/leaving with overload warning | S (<5ms) |
-| Meeting Room | [`bld_meeting_room.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/bld_meeting_room.rs) | Tracks meeting lifecycle: start, headcount, end, availability | S (<5ms) |
-| Energy Audit | [`bld_energy_audit.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/bld_energy_audit.rs) | Tracks after-hours usage and room utilization rates | S (<5ms) |
+| HVAC Presence | [`bld_hvac_presence.rs`](v2/crates/wifi-densepose-wasm-edge/src/bld_hvac_presence.rs) | Occupancy-driven HVAC control with departure countdown | S (<5ms) |
+| Lighting Zones | [`bld_lighting_zones.rs`](v2/crates/wifi-densepose-wasm-edge/src/bld_lighting_zones.rs) | Auto-dim/off lighting based on zone activity | S (<5ms) |
+| Elevator Count | [`bld_elevator_count.rs`](v2/crates/wifi-densepose-wasm-edge/src/bld_elevator_count.rs) | Counts people entering/leaving with overload warning | S (<5ms) |
+| Meeting Room | [`bld_meeting_room.rs`](v2/crates/wifi-densepose-wasm-edge/src/bld_meeting_room.rs) | Tracks meeting lifecycle: start, headcount, end, availability | S (<5ms) |
+| Energy Audit | [`bld_energy_audit.rs`](v2/crates/wifi-densepose-wasm-edge/src/bld_energy_audit.rs) | Tracks after-hours usage and room utilization rates | S (<5ms) |

 **🛒 Retail & Hospitality** (Category 4) — Customer insights without cameras

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| Queue Length | [`ret_queue_length.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ret_queue_length.rs) | Estimates queue size and wait times | S (<5ms) |
-| Dwell Heatmap | [`ret_dwell_heatmap.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ret_dwell_heatmap.rs) | Shows where people spend time (hot/cold zones) | S (<5ms) |
-| Customer Flow | [`ret_customer_flow.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ret_customer_flow.rs) | Counts ins/outs and tracks net occupancy | S (<5ms) |
-| Table Turnover | [`ret_table_turnover.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ret_table_turnover.rs) | Restaurant table lifecycle: seated, dining, vacated | S (<5ms) |
-| Shelf Engagement | [`ret_shelf_engagement.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ret_shelf_engagement.rs) | Detects browsing, considering, and reaching for products | S (<5ms) |
+| Queue Length | [`ret_queue_length.rs`](v2/crates/wifi-densepose-wasm-edge/src/ret_queue_length.rs) | Estimates queue size and wait times | S (<5ms) |
+| Dwell Heatmap | [`ret_dwell_heatmap.rs`](v2/crates/wifi-densepose-wasm-edge/src/ret_dwell_heatmap.rs) | Shows where people spend time (hot/cold zones) | S (<5ms) |
+| Customer Flow | [`ret_customer_flow.rs`](v2/crates/wifi-densepose-wasm-edge/src/ret_customer_flow.rs) | Counts ins/outs and tracks net occupancy | S (<5ms) |
+| Table Turnover | [`ret_table_turnover.rs`](v2/crates/wifi-densepose-wasm-edge/src/ret_table_turnover.rs) | Restaurant table lifecycle: seated, dining, vacated | S (<5ms) |
+| Shelf Engagement | [`ret_shelf_engagement.rs`](v2/crates/wifi-densepose-wasm-edge/src/ret_shelf_engagement.rs) | Detects browsing, considering, and reaching for products | S (<5ms) |

 **🏭 Industrial & Specialized** (Category 5) — Safety and compliance

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| Forklift Proximity | [`ind_forklift_proximity.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ind_forklift_proximity.rs) | Warns when people get too close to vehicles | S (<5ms) |
-| Confined Space | [`ind_confined_space.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ind_confined_space.rs) | OSHA-compliant worker monitoring with extraction alerts | S (<5ms) |
-| Clean Room | [`ind_clean_room.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ind_clean_room.rs) | Occupancy limits and turbulent motion detection | S (<5ms) |
-| Livestock Monitor | [`ind_livestock_monitor.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ind_livestock_monitor.rs) | Animal presence, stillness, and escape alerts | S (<5ms) |
-| Structural Vibration | [`ind_structural_vibration.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/ind_structural_vibration.rs) | Seismic events, mechanical resonance, structural drift | S (<5ms) |
+| Forklift Proximity | [`ind_forklift_proximity.rs`](v2/crates/wifi-densepose-wasm-edge/src/ind_forklift_proximity.rs) | Warns when people get too close to vehicles | S (<5ms) |
+| Confined Space | [`ind_confined_space.rs`](v2/crates/wifi-densepose-wasm-edge/src/ind_confined_space.rs) | OSHA-compliant worker monitoring with extraction alerts | S (<5ms) |
+| Clean Room | [`ind_clean_room.rs`](v2/crates/wifi-densepose-wasm-edge/src/ind_clean_room.rs) | Occupancy limits and turbulent motion detection | S (<5ms) |
+| Livestock Monitor | [`ind_livestock_monitor.rs`](v2/crates/wifi-densepose-wasm-edge/src/ind_livestock_monitor.rs) | Animal presence, stillness, and escape alerts | S (<5ms) |
+| Structural Vibration | [`ind_structural_vibration.rs`](v2/crates/wifi-densepose-wasm-edge/src/ind_structural_vibration.rs) | Seismic events, mechanical resonance, structural drift | S (<5ms) |

 **🔮 Exotic & Research** (Category 6) — Experimental sensing applications

 | Module | File | What It Does | Budget |
 |--------|------|-------------|--------|
-| Dream Stage | [`exo_dream_stage.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/exo_dream_stage.rs) | Contactless sleep stage classification (wake/light/deep/REM) | S (<5ms) |
-| Emotion Detection | [`exo_emotion_detect.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/exo_emotion_detect.rs) | Arousal, stress, and calm detection from micro-movements | S (<5ms) |
-| Gesture Language | [`exo_gesture_language.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/exo_gesture_language.rs) | Sign language letter recognition via WiFi | S (<5ms) |
-| Music Conductor | [`exo_music_conductor.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/exo_music_conductor.rs) | Tempo and dynamic tracking from conducting gestures | S (<5ms) |
-| Plant Growth | [`exo_plant_growth.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/exo_plant_growth.rs) | Monitors plant growth, circadian rhythms, wilt detection | S (<5ms) |
-| Ghost Hunter | [`exo_ghost_hunter.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/exo_ghost_hunter.rs) | Environmental anomaly classification (draft/insect/wind/unknown) | S (<5ms) |
-| Rain Detection | [`exo_rain_detect.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/exo_rain_detect.rs) | Detects rain onset, intensity, and cessation via signal scatter | S (<5ms) |
-| Breathing Sync | [`exo_breathing_sync.rs`](rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm-edge/src/exo_breathing_sync.rs) | Detects synchronized breathing between multiple people | S (<5ms) |
+| Dream Stage | [`exo_dream_stage.rs`](v2/crates/wifi-densepose-wasm-edge/src/exo_dream_stage.rs) | Contactless sleep stage classification (wake/light/deep/REM) | S (<5ms) |
+| Emotion Detection | [`exo_emotion_detect.rs`](v2/crates/wifi-densepose-wasm-edge/src/exo_emotion_detect.rs) | Arousal, stress, and calm detection from micro-movements | S (<5ms) |
+| Gesture Language | [`exo_gesture_language.rs`](v2/crates/wifi-densepose-wasm-edge/src/exo_gesture_language.rs) | Sign language letter recognition via WiFi | S (<5ms) |
+| Music Conductor | [`exo_music_conductor.rs`](v2/crates/wifi-densepose-wasm-edge/src/exo_music_conductor.rs) | Tempo and dynamic tracking from conducting gestures | S (<5ms) |
+| Plant Growth | [`exo_plant_growth.rs`](v2/crates/wifi-densepose-wasm-edge/src/exo_plant_growth.rs) | Monitors plant growth, circadian rhythms, wilt detection | S (<5ms) |
+| Ghost Hunter | [`exo_ghost_hunter.rs`](v2/crates/wifi-densepose-wasm-edge/src/exo_ghost_hunter.rs) | Environmental anomaly classification (draft/insect/wind/unknown) | S (<5ms) |
+| Rain Detection | [`exo_rain_detect.rs`](v2/crates/wifi-densepose-wasm-edge/src/exo_rain_detect.rs) | Detects rain onset, intensity, and cessation via signal scatter | S (<5ms) |
+| Breathing Sync | [`exo_breathing_sync.rs`](v2/crates/wifi-densepose-wasm-edge/src/exo_breathing_sync.rs) | Detects synchronized breathing between multiple people | S (<5ms) |

 </details>

@@ -855,7 +855,7 @@ git clone https://github.com/ruvnet/RuView.git
 cd RuView

 # Rust (primary — 810x faster)
-cd rust-port/wifi-densepose-rs
+cd v2
 cargo build --release
 cargo test --workspace

@@ -950,7 +950,7 @@ cargo add wifi-densepose-ruvector   # RuVector v2.0.4 integration layer (ADR-017

 All crates integrate with [RuVector v2.0.4](https://github.com/ruvnet/ruvector) — see [AI Backbone](#ai-backbone-ruvector) below.

-**[rUv Neural](rust-port/wifi-densepose-rs/crates/ruv-neural/)** — A separate 12-crate workspace for brain network topology analysis, neural decoding, and medical sensing. See [rUv Neural](#ruv-neural) in Models & Training.
+**[rUv Neural](v2/crates/ruv-neural/)** — A separate 12-crate workspace for brain network topology analysis, neural decoding, and medical sensing. See [rUv Neural](#ruv-neural) in Models & Training.

 </details>

@@ -1050,7 +1050,7 @@ The neural pipeline uses a graph transformer with cross-attention to map CSI fea
 | [RVF Model Container](#rvf-model-container) | Binary packaging with Ed25519 signing, progressive 3-layer loading, SIMD quantization | [ADR-023](docs/adr/ADR-023-trained-densepose-model-ruvector-pipeline.md) |
 | [Training & Fine-Tuning](#training--fine-tuning) | 8-phase pure Rust pipeline (7,832 lines), MM-Fi/Wi-Pose pre-training, 6-term composite loss, SONA LoRA | [ADR-023](docs/adr/ADR-023-trained-densepose-model-ruvector-pipeline.md) |
 | [RuVector Crates](#ruvector-crates) | 11 vendored Rust crates from [ruvector](https://github.com/ruvnet/ruvector): attention, min-cut, solver, GNN, HNSW, temporal compression, sparse inference | [GitHub](https://github.com/ruvnet/ruvector) · [Source](vendor/ruvector/) |
-| [rUv Neural](#ruv-neural) | 12-crate brain topology analysis ecosystem: neural decoding, quantum sensor integration, cognitive state classification, BCI output | [README](rust-port/wifi-densepose-rs/crates/ruv-neural/README.md) |
+| [rUv Neural](#ruv-neural) | 12-crate brain topology analysis ecosystem: neural decoding, quantum sensor integration, cognitive state classification, BCI output | [README](v2/crates/ruv-neural/README.md) |
 | [AI Backbone (RuVector)](#ai-backbone-ruvector) | 5 AI capabilities replacing hand-tuned thresholds: attention, graph min-cut, sparse solvers, tiered compression | [crates.io](https://crates.io/crates/wifi-densepose-ruvector) |
 | [Self-Learning WiFi AI (ADR-024)](#self-learning-wifi-ai-adr-024) | Contrastive self-supervised learning, room fingerprinting, anomaly detection, 55 KB model | [ADR-024](docs/adr/ADR-024-contrastive-csi-embedding-model.md) |
 | [Cross-Environment Generalization (ADR-027)](docs/adr/ADR-027-cross-environment-domain-generalization.md) | Domain-adversarial training, geometry-conditioned inference, hardware normalization, zero-shot deployment | [ADR-027](docs/adr/ADR-027-cross-environment-domain-generalization.md) |
@@ -1168,10 +1168,10 @@ Bundle verify:  7/7 checks PASS
 **Verify it yourself** (no hardware needed):
 ```bash
 # Run all tests
-cd rust-port/wifi-densepose-rs && cargo test --workspace --no-default-features
+cd v2 && cargo test --workspace --no-default-features

 # Run the deterministic proof
-python v1/data/proof/verify.py
+python archive/v1/data/proof/verify.py

 # Generate + verify the witness bundle
 bash scripts/generate-witness-bundle.sh
@@ -1484,7 +1484,7 @@ See [firmware/esp32-csi-node/README.md](firmware/esp32-csi-node/README.md), [ADR
 | WASM Support | No | Yes |

 ```bash
-cd rust-port/wifi-densepose-rs
+cd v2
 cargo build --release
 cargo test --workspace
 cargo bench --package wifi-densepose-signal
@@ -1781,7 +1781,7 @@ The full RuVector ecosystem includes 90+ crates. See [github.com/ruvnet/ruvector
 <details>
 <summary><a id="ruv-neural"></a><strong>🧠 rUv Neural</strong> — Brain topology analysis ecosystem for neural decoding and medical sensing</summary>

-[**rUv Neural**](rust-port/wifi-densepose-rs/crates/ruv-neural/README.md) is a 12-crate Rust ecosystem that extends RuView's signal processing into brain network topology analysis. It transforms neural magnetic field measurements from quantum sensors (NV diamond magnetometers, optically pumped magnetometers) into dynamic connectivity graphs, using minimum cut algorithms to detect cognitive state transitions in real time. The ecosystem includes crates for signal processing (`ruv-neural-signal`), graph construction (`ruv-neural-graph`), HNSW-indexed pattern memory (`ruv-neural-memory`), graph embeddings (`ruv-neural-embed`), cognitive state decoding (`ruv-neural-decoder`), and ESP32/WASM edge targets. Medical and research applications include early neurological disease detection via topology signatures, brain-computer interfaces, clinical neurofeedback, and non-invasive biomedical sensing -- bridging RuView's RF sensing architecture with the emerging field of quantum biomedical diagnostics.
+[**rUv Neural**](v2/crates/ruv-neural/README.md) is a 12-crate Rust ecosystem that extends RuView's signal processing into brain network topology analysis. It transforms neural magnetic field measurements from quantum sensors (NV diamond magnetometers, optically pumped magnetometers) into dynamic connectivity graphs, using minimum cut algorithms to detect cognitive state transitions in real time. The ecosystem includes crates for signal processing (`ruv-neural-signal`), graph construction (`ruv-neural-graph`), HNSW-indexed pattern memory (`ruv-neural-memory`), graph embeddings (`ruv-neural-embed`), cognitive state decoding (`ruv-neural-decoder`), and ESP32/WASM edge targets. Medical and research applications include early neurological disease detection via topology signatures, brain-computer interfaces, clinical neurofeedback, and non-invasive biomedical sensing -- bridging RuView's RF sensing architecture with the emerging field of quantum biomedical diagnostics.

 </details>

@@ -2154,7 +2154,7 @@ wifi-densepose tasks list               # List background tasks

 ```bash
 # Rust tests (primary — 542+ tests)
-cd rust-port/wifi-densepose-rs
+cd v2
 cargo test --workspace

 # Sensing server tests (229 tests)
@@ -2164,7 +2164,7 @@ cargo test -p wifi-densepose-sensing-server
 ./target/release/sensing-server --benchmark

 # Python tests
-python -m pytest v1/tests/ -v
+python -m pytest archive/v1/tests/ -v

 # Pipeline verification (no hardware needed)
 ./verify
@@ -2258,7 +2258,7 @@ git clone https://github.com/ruvnet/RuView.git
 cd RuView

 # Rust development
-cd rust-port/wifi-densepose-rs
+cd v2
 cargo build --release
 cargo test --workspace

@@ -0,0 +1,74 @@
+# Archive
+
+Frozen, no-longer-active components of RuView preserved for historical
+reference, reproducibility, and load-bearing legacy paths the active
+codebase still depends on.
+
+## What lives here
+
+| Path | What it is | Why it's archived | Still load-bearing? |
+|------|------------|-------------------|---------------------|
+| `v1/` | Original Python implementation of RuView (CSI processing, hardware adapters, services, FastAPI) | Superseded by the Rust workspace at `v2/`; ~810× slower in benchmarks. Kept rather than deleted because the deterministic proof bundle (`v1/data/proof/`) is part of the pre-merge witness verification process per ADR-011 / ADR-028. | **Yes — for the proof bundle only.** Active code lives in `v2/`. |
+
+## What "archived" means
+
+- **Do not add new features here.** New work goes in `v2/`.
+- **Do not refactor or modernize the archived code beyond what is
+  strictly necessary** to keep the load-bearing paths working. The
+  Python proof bundle is intentionally frozen so that its SHA-256
+  reproducibility holds across releases (per ADR-028's witness
+  verification requirement).
+- **Bug fixes inside archived code are allowed** when the bug affects a
+  still-load-bearing path (currently: only the Python proof). All
+  other "bugs" in archived code are out-of-scope — they are part of
+  the historical record and any fix would unnecessarily churn the
+  witness hashes.
+- **CI continues to verify the load-bearing paths.**
+  `.github/workflows/verify-pipeline.yml` runs the Python proof on
+  every push and PR; if you change anything inside `archive/v1/src/`
+  or `archive/v1/data/proof/`, expect the determinism check to flag
+  it.
+
+## Quick reference for the load-bearing paths
+
+```bash
+# Run the deterministic Python proof (must print VERDICT: PASS)
+python archive/v1/data/proof/verify.py
+
+# Regenerate the expected hash (only if numpy/scipy version legitimately changed)
+python archive/v1/data/proof/verify.py --generate-hash
+
+# Run the full Python test suite (legacy, still maintained)
+cd archive/v1&& python -m pytest tests/ -x -q
+```
+
+## Why we keep `v1/` rather than delete it
+
+1. **Trust kill-switch.** The proof at `v1/data/proof/verify.py` feeds
+   a known reference signal through the full pipeline and hashes the
+   output. If the active code's behavior drifts, the hash changes and
+   CI fails. This is what stops accidental regression in the science
+   layer of the codebase.
+
+2. **Witness verification.** ADR-028's witness-bundle process bundles
+   the proof, the rust workspace test results, and firmware hashes
+   into a tarball recipients can self-verify. Removing v1 would break
+   that chain.
+
+3. **Historical reference.** ADR-011 documents the "no mocks in
+   production code" decision; the original violations and their fixes
+   live in this Python codebase. The ADRs reference these paths.
+
+If the time comes to retire the proof bundle (e.g., a Rust port of
+the proof exists and the Python version is no longer canonical), the
+right move is a single follow-up that simultaneously: ports the
+witness-bundle process, updates `verify-pipeline.yml`, and either
+deletes `archive/v1/` or moves it to a separate read-only repository.
+That decision belongs in its own ADR.
+
+## See also
+
+- `docs/adr/ADR-011-python-proof-of-reality-mock-elimination.md`
+- `docs/adr/ADR-028-esp32-capability-audit.md`
+- `archive/v1/data/proof/README.md` (if present)
+- `docs/WITNESS-LOG-028.md`
@@ -51,4 +51,4 @@ pytest tests/

 ## Note

-This is the legacy Python implementation. For the new Rust implementation with improved performance, see `/rust-port/wifi-densepose-rs/`.
+This is the legacy Python implementation. For the new Rust implementation with improved performance, see `/v2/`.
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
ruv	a28f0253c3	perf(ruvector): ADR-084 Pass 1.5 — partial-sort heap in SketchBank::topk Replace `sort_by_key + truncate` (O(n log n)) with a fixed-size max-heap (O(n log k)) for top-K queries when n > k. Fast path when n ≤ k stays on the simple sort. Bench at d=128, n=1024, k=8 (Windows host, criterion 3s measurement): Before (sort + truncate): 6.34 µs/op After (heap): 3.83 µs/op -39.4% / +1.65× faster Combined with the 32× memory shrink and 47.6 µs → 3.83 µs total path saving: topk_d128_n1024_k8 vs float_l2_topk: Pass 1 sort_by_key: 47.59 µs / 6.34 µs = 7.5× speedup Pass 1.5 heap: 47.59 µs / 3.83 µs = 12.4× speedup Now over the ADR-084 acceptance criterion of 8× minimum. Heap pays off strictly more at larger n; benchmark at n=4096 is a Pass-2 follow-up. Co-Authored-By: claude-flow <ruv@ruv.net>	2026-04-26 00:00:48 -04:00
ruv	1df9d5f7d4	bench(ruvector): ADR-084 acceptance — sketch-vs-float compare cost Adds sketch_bench measuring the first ADR-084 acceptance criterion (8x-30x compare cost reduction) at three dimensions and a realistic top-K@k=8 over 1024 sketches. Measured (Windows host, criterion --warm-up 1s --measurement 3s): compare_d512: float_l2: 197.03 ns/op float_cosine: 231.17 ns/op sketch_hamming: 4.56 ns/op → 43-51x speedup topk_d128_n1024_k8: float_l2_topk: 47.59 us sketch_hamming: 6.34 us → 7.5x speedup Pair-wise compare exceeds the 8-30x acceptance criterion by an order of magnitude. Top-K is at 7.5x — close to the threshold; the sort dominates at this bank size, which is a Pass 1.5 optimization opportunity (partial-sort heap for small K). Co-Authored-By: claude-flow <ruv@ruv.net>	2026-04-25 23:33:28 -04:00
ruv	6fd5b7dad5	feat(ruvector): ADR-084 Pass 1 — sketch module foundation Implements Pass 1 of ADR-084 (RaBitQ similarity sensor): a thin RuView-flavored API over `ruvector_core::quantization::BinaryQuantized`, exposed at `wifi_densepose_ruvector::{Sketch, SketchBank, SketchError}`. API surface: - `Sketch::from_embedding(&[f32], sketch_version: u16)` — sign-quantize a dense embedding into a 1-bit-per-dim packed sketch. - `Sketch::distance` — hamming distance with schema-mismatch error. - `Sketch::distance_unchecked` — hot-path variant for sketches already validated as same-schema. - `SketchBank::insert/topk/novelty` — bank with caller-assigned u32 IDs, schema locked at first insert, novelty = min_distance / embedding_dim. Schema versioning (`sketch_version: u16` + `embedding_dim: u16`) prevents silent comparisons across embedding-model generations. Bumping the model forces re-sketch of the candidate bank. Pass 1 establishes the API and unit-test foundation. Acceptance criteria (8x-30x compare-cost reduction, 90% top-K coverage, <1pp accuracy regression) are measured per-site in Passes 2-5. Validated: - 12 new tests pass (sketch construction, hamming, top-K ordering, schema lock, schema rejection, novelty) - cargo test --workspace --no-default-features → 1,551 passed, 0 failed, 8 ignored (was 1,539 before; +12 new tests) - ESP32-S3 on COM7 still streaming live CSI (cb #117300) Co-Authored-By: claude-flow <ruv@ruv.net>	2026-04-25 23:19:03 -04:00
rUv	c19a33ee1c	docs(adr): ADR-084 — RaBitQ similarity sensor for CSI/pose/memory (proposed) (#429 ) Adopt RaBitQ-style binary sketches as a first-class cheap similarity sensor at four points in the RuView pipeline: AETHER re-ID hot-cache filter, per-room novelty / drift detection, mesh-exchange compression, and privacy-preserving event logs. Implementation home is ruvector-core::quantization::BinaryQuantized (already vendored, already SIMD-accelerated NEON+POPCNT, 32x compression, 1-bit sign quantization + hamming distance), re-exported through a thin RuView-flavored API in wifi-densepose-ruvector::sketch. Pattern at every site: dense embedding -> RaBitQ sketch -> hamming pre-filter to top-K -> full-precision refinement only on miss. Decision boundary unchanged; sketch is a sensor that gates which comparisons run, not what they decide. Acceptance test (per source proposal): - sketch compare cost reduction: 8x-30x vs full float - top-K candidate coverage: >= 90% agreement with full-float pass - end-to-end accuracy regression: < 1 percentage point Site-by-site rollback if any criterion fails at a given site; remaining sites continue. Five implementation passes, each independently testable: ruvector module wrap, AETHER re-ID pre-filter, cluster-Pi novelty sensor, mesh-exchange compression, privacy log. Sensor MCU unchanged; sketches happen at the cluster Pi (ADR-083). Validation requires acceptance numbers on >= 3 of 5 passes. Open question (out-of-scope until pass-1 benchmark): whether RuView embeddings need a Johnson-Lindenstrauss / RaBitQ-paper randomized rotation before sign-quantization, or whether pure 1-bit sign quantization (today's BinaryQuantized) is sufficient.	2026-04-25 23:08:05 -04:00
rUv	259939b7ec	docs(adr): ADR-083 — per-cluster Pi compute hop (proposed) (#428 ) Adopt one Pi per cluster of 3-6 ESP32-S3 sensor nodes as the canonical fleet-shape, rather than the full three-tier (dual-MCU + per-node Pi) shape. Sensor nodes are unchanged from ADR-028 / ADR-081; the cluster Pi gains the responsibilities the ESP32-S3 cannot carry — pose-grade ML inference, QUIC backhaul to gateway/cloud, and a cluster-level OTA + secure-boot anchor. The cluster-Pi shape is the L3-hybrid path identified in docs/research/architecture/decision-tree.md §2 — the cheapest viable upgrade. The full three-tier shape remains the long-term exploration target, gated behind no_std CSI maturity (decision-tree L4) and per-node ISR-jitter evidence (L2). Status: Proposed. Acceptance gated on: 1. Cross-compile to aarch64 / armv7 with workspace tests passing 2. 3-sensor + 1-Pi field test demonstrating end-to-end CSI → fusion → cloud at <=100 ms cluster latency 3. Cluster-Pi SoC choice ADR (decision-tree L6) approved References: - docs/research/architecture/three-tier-rust-node.md (seed exploration) - docs/research/architecture/decision-tree.md (L3 hybrid path) - docs/research/sota/2026-Q2-rf-sensing-and-edge-rust.md (SOTA evidence)	2026-04-25 23:08:02 -04:00
rUv	81cc241b9e	chore(repo): move v1/ → archive/v1/ + add archive/README.md (#430 ) The Rust port at v2/ has been the primary codebase since the rename in #427. The Python implementation at v1/ is no longer the active target; the only load-bearing path is the deterministic proof bundle at v1/data/proof/ (per ADR-011 / ADR-028 witness verification). Move the whole Python tree into archive/v1/ and document the policy in archive/README.md: no new features, bug fixes only when they affect a still-load-bearing path (currently just the proof), CI continues to verify the proof on every push and PR. Path references updated in 26 files via path-pattern sed (only matches v1/<known-child> patterns, never bare v1 or API URLs like /api/v1/). Two double-prefix typos (archive/archive/v1/) caught and hand-fixed in verify-pipeline.yml and ADR-011. Validated: - Python proof verify.py imports cleanly at archive/v1/data/proof/ (numpy/scipy still required; CI installs requirements-lock.txt from archive/v1/ now) - cargo test --workspace --no-default-features → 1,539 passed, 0 failed, 8 ignored (unaffected by Python tree relocation) - ESP32-S3 on COM7 untouched (no firmware paths changed) After-merge: contributors should re-run any local `python v1/...` commands as `python archive/v1/...` (CLAUDE.md and CHANGELOG already updated).	2026-04-25 23:07:52 -04:00
rUv	74233cfb23	fix(ci): use env scope for secrets in gating if: expressions (#431 ) GitHub Actions does not allow `secrets.X` to appear directly in step-level `if:` expressions — only `env.X` is valid in that context. Both ci.yml and security-scan.yml had Slack-notify steps gated on `secrets.SLACK_WEBHOOK_URL != ''`, which made the entire workflow fail to parse. Result: every push to main produced a 0-second failure with 0 jobs run, masquerading as a CI signal that wasn't actually running CI. Confirmed root cause via: gh api -X POST repos/.../actions/workflows/167079093/dispatches \ -f ref=main → 422 Invalid Argument - failed to parse workflow: (Line: 315, Col: 11): Unrecognized named-value: 'secrets' Fix: promote the secret to job-level `env:` so step-level `if:` references `env.SLACK_WEBHOOK_URL`. The actual secret value still flows through unchanged for the action's runtime use. Same pattern applied to security-scan.yml line 406 (the existing SECURITY_SLACK_WEBHOOK_URL gate). After this lands, every push to main should produce real CI runs that actually execute jobs and reflect repo health honestly. The runs may still fail for real reasons (e.g., CI image dependencies, test gaps), but they will fail visibly with logs instead of in 0s with no jobs.	2026-04-25 23:06:27 -04:00
ruv	5bcb25b2b0	docs(adr): update bare wifi-densepose-rs refs to v2/ in ADR-012, ADR-052 Two leftover references missed by the sed pass in #427 (which only matched the full `rust-port/wifi-densepose-rs` path). These are bare references to the workspace directory name, which is now v2/. Co-Authored-By: claude-flow <ruv@ruv.net>	2026-04-25 21:43:21 -04:00
rUv	f49c722764	chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427 ) The Rust port lived two directories deep (rust-port/wifi-densepose-rs/) without any sibling under rust-port/ that warranted the extra level. Move the whole workspace up to v2/ to match v1/ (Python) at the same depth and shorten every cd / build command across the repo. git mv preserves history for all tracked files. 60 files updated for path references (CI workflows, ADRs, docs, scripts, READMEs, internal .claude-flow state). Two manual fixes for relative-cd paths in CLAUDE.md and ADR-043 that became wrong after the depth change (cd ../.. → cd ..). Validated: - cargo check --workspace --no-default-features → clean (after target/ nuke; the gitignored target/ was carried by the OS rename and had hard-coded old paths in build scripts) - cargo test --workspace --no-default-features → 1,539 passed, 0 failed, 8 ignored (same totals as pre-rename) - ESP32-S3 on COM7 → still streaming live CSI (cb #40300, RSSI -64 dBm) After-merge follow-up: contributors should `rm -rf v2/target` once and let cargo regenerate from the new path.	2026-04-25 21:28:13 -04:00
ruv	2a58fe478b	docs(research): three-tier Rust node design + 2026-Q2 SOTA survey + decision tree Three exploratory research documents under docs/research/: - architecture/three-tier-rust-node.md (3,382 words) — exploration of a dual-ESP32-S3 + Pi Zero 2W node architecture with BQ24074 power-path, ESP-WIFI-MESH + LoRa fallback + QUIC backhaul, and an esp-hal/Embassy vs esp-idf-svc Rust toolchain split. Status: Exploratory — not adopted. - sota/2026-Q2-rf-sensing-and-edge-rust.md (3,757 words) — twelve-section state-of-the-art survey covering WiFi CSI through-wall pose, IEEE 802.11bf (ratified 2025-09-26), edge ML on ESP32-class hardware, embedded Rust ecosystem maturity (esp-hal 1.x, esp-radio rename, embassy-executor ISR-safety on esp-idf-svc), LoRa for sensor mesh fallback, QUIC for IoT backhaul, solar power-path management beyond BQ24074, mesh routing alternatives, and Pi Zero 2W secure-boot reality. - architecture/decision-tree.md (1,461 words) — Mermaid decision tree mapping each load-bearing decision in the three-tier proposal to its dependencies, evidence-for-yes/no, and prospective ADR slot. No production code, firmware, or ADRs touched. Research-only. Co-Authored-By: claude-flow <ruv@ruv.net>	2026-04-25 20:41:14 -04:00
Cocoon-Break	1c17c50930	fix: move test-only deps out of requirements.txt into requirements-dev.txt (#411 ) * fix: remove test-only deps from requirements.txt, add requirements-dev.txt Test dependencies (pytest, pytest-asyncio, pytest-mock, pytest-benchmark) should not be installed in production. Move them to requirements-dev.txt. Closes #410 Signed-off-by: Cocoon-Break <54054995+kuishou68@users.noreply.github.com> * fix: add requirements-dev.txt with test and dev dependencies Closes #410 Signed-off-by: Cocoon-Break <54054995+kuishou68@users.noreply.github.com> --------- Signed-off-by: Cocoon-Break <54054995+kuishou68@users.noreply.github.com>	2026-04-25 20:11:34 -04:00
rUv	7f201bdf6f	fix(tracker): exclude Lost tracks from bridge output (#420 , ADR-082) (#426 ) `tracker_bridge::tracker_to_person_detections` documented itself as filtering to `is_alive()` but never actually filtered — it forwarded every non-Terminated track to the WebSocket stream. With 3 ESP32-S3 nodes × ~10 Hz CSI, transient detections that fell outside the Mahalanobis gate created a steady stream of new Tentative tracks that aged through Active and into Lost. Lost tracks are kept in the tracker for `reid_window` (~3 s) so re-identification can match them when a similar detection reappears, but they are NOT currently observed and must not render as live skeletons. Up to ~90 ghost skeletons could accumulate at any moment, hence the 22-24 phantoms users saw while `estimated_persons` correctly reported 1. Add `PoseTracker::confirmed_tracks()` that returns only `Tentative ∪ Active` and rewire the bridge to use it. `Lost` tracks remain in the tracker for re-ID; they just no longer ship to the UI. `active_tracks()` is left unchanged for the AETHER re-ID consumers (ADR-024). Regression test `test_lost_tracks_excluded_from_bridge_output` drives a track to Active, lapses for `loss_misses + 1` ticks to push it to Lost, and asserts `tracker_update` returns an empty Vec while the Lost track is still present in `all_tracks()` (re-ID still works). Validated: - cargo test --workspace --no-default-features → 1,539 passed, 0 failed - ESP32-S3 on COM7 still streaming live CSI (cb #32800)	2026-04-25 20:03:03 -04:00
rUv	58a63d6bdf	fix(workspace): unblock --no-default-features build on Windows (#366 , #415 ) (#425 ) mat, sensing-server, and train all depended on signal with default features enabled, which pulled ndarray-linalg → openblas-src → vcpkg/system-BLAS through the entire workspace. --no-default-features at the workspace root could not opt out of BLAS, breaking cargo build / cargo test on Windows without vcpkg. Set default-features = false on the signal dep in all three consumers so the flag actually propagates. Also gate signal::ruvsense::field_model::tests ::test_estimate_occupancy_noise_only with #[cfg(feature = "eigenvalue")] — the test unwraps a NotCalibrated stub when eigenvalue is compiled out. Validated: cargo test --workspace --no-default-features → 1,538 passed, 0 failed, 8 ignored. ESP32-S3 on COM7 still streams live CSI.	2026-04-25 19:45:07 -04:00