fix(dashboard): settings drawer scrim covers viewport (host transform fix)

* fix(ci): wasm-pack PATH + Dockerfile workspace stub

Closes the two post-merge failures from #436:

1. wasm-pack: command not found — cargo install doesn't reliably leave
   the binary on PATH. Switched to the canonical installer in both the
   Pages and a11y workflows.
2. nvsim-server Docker build — cargo couldn't resolve workspace.dependencies
   from a partial copy. Dockerfile now generates a stub workspace
   Cargo.toml inline that lists just nvsim + nvsim-server.

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

* fix(dashboard): settings drawer scrim — escape host transform's containing-block trap

The drawer's :host had transform: translateX(...) which makes it the
containing block for any fixed-position descendants. The .scrim at
'position: fixed; inset: 0' therefore covered only the drawer's own
420 px panel area, not the viewport. Visible symptoms:

- Page behind the drawer didn't dim
- Click outside the drawer didn't dismiss it (no scrim to receive)
- Felt like the drawer wasn't really 'modal'

Fix: keep :host as a fixed full-viewport overlay (no transform),
move the drawer body into an inner .panel div, transform only that.
Now the scrim covers the viewport correctly and outside-clicks dismiss.

Same trap exists nowhere else; nv-modal already follows this pattern.

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

.github/workflows/ci.yml

@@ -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'

.github/workflows/dashboard-a11y.yml

@@ -0,0 +1,46 @@
+name: Dashboard a11y + cross-browser
+
+# Runs axe-core a11y assertions on the built dashboard across
+# Chromium, Firefox, and WebKit. Closes ADR-092 §11.5 (axe-core)
+# and §11.8 (cross-browser).
+
+on:
+  push:
+    branches: [main]
+    paths: ['dashboard/**', 'v2/crates/nvsim/**']
+  pull_request:
+    paths: ['dashboard/**']
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  a11y:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: dtolnay/rust-toolchain@stable
+        with: { targets: wasm32-unknown-unknown }
+
+      - name: Install wasm-pack
+        run: curl https://rustwasm.github.io/wasm-pack/installer/init.sh -sSf | sh
+
+      - name: Build nvsim WASM
+        working-directory: v2
+        run: |
+          wasm-pack build crates/nvsim --target web \
+            --out-dir ../../dashboard/public/nvsim-pkg \
+            --release -- --no-default-features --features wasm
+
+      - uses: actions/setup-node@v4
+        with: { node-version: 20, cache: npm, cache-dependency-path: dashboard/package-lock.json }
+
+      - working-directory: dashboard
+        run: |
+          npm ci
+          npm install --save-dev @playwright/test @axe-core/playwright
+          npx playwright install --with-deps
+          npm run build
+          npx playwright test

.github/workflows/dashboard-pages.yml

@@ -0,0 +1,87 @@
+name: nvsim Dashboard → GitHub Pages
+
+# Deploys the nvsim Vite/Lit dashboard to gh-pages/nvsim/ — preserving
+# the existing observatory/, pose-fusion/, and root index.html demos
+# already published from gh-pages. ADR-092 §9.
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - 'v2/crates/nvsim/**'
+      - 'dashboard/**'
+      - '.github/workflows/dashboard-pages.yml'
+  workflow_dispatch:
+
+permissions:
+  contents: write
+
+concurrency:
+  group: dashboard-pages
+  cancel-in-progress: true
+
+jobs:
+  build-and-deploy:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout main
+        uses: actions/checkout@v4
+
+      - name: Install Rust + wasm32 target
+        uses: dtolnay/rust-toolchain@stable
+        with:
+          targets: wasm32-unknown-unknown
+
+      - name: Cache cargo registry
+        uses: actions/cache@v4
+        with:
+          path: |
+            ~/.cargo/registry
+            ~/.cargo/git
+            v2/target
+          key: ${{ runner.os }}-cargo-nvsim-${{ hashFiles('v2/Cargo.lock') }}
+          restore-keys: ${{ runner.os }}-cargo-nvsim-
+
+      - name: Install wasm-pack
+        run: |
+          curl https://rustwasm.github.io/wasm-pack/installer/init.sh -sSf | sh
+          which wasm-pack
+
+      - name: Build nvsim WASM
+        working-directory: v2
+        run: |
+          wasm-pack build crates/nvsim \
+            --target web \
+            --out-dir ../../dashboard/public/nvsim-pkg \
+            --release \
+            -- --no-default-features --features wasm
+
+      - name: Setup Node 20
+        uses: actions/setup-node@v4
+        with:
+          node-version: 20
+          cache: npm
+          cache-dependency-path: dashboard/package-lock.json
+
+      - name: Install dashboard deps
+        working-directory: dashboard
+        run: npm ci
+
+      - name: Build dashboard
+        working-directory: dashboard
+        env:
+          NVSIM_BASE: /RuView/nvsim/
+        run: npm run build
+
+      - name: Deploy to gh-pages/nvsim/
+        uses: peaceiris/actions-gh-pages@v4
+        with:
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          publish_dir: ./dashboard/dist
+          destination_dir: nvsim
+          # CRITICAL: preserves observatory/, pose-fusion/, root index.html
+          # and any other RuView demos already on gh-pages.
+          keep_files: true
+          commit_message: 'deploy(nvsim): ${{ github.sha }}'
+          user_name: 'github-actions[bot]'
+          user_email: 'github-actions[bot]@users.noreply.github.com'

.github/workflows/desktop-release.yml

@@ -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

.github/workflows/nvsim-server-docker.yml

@@ -0,0 +1,69 @@
+name: nvsim-server → ghcr.io
+
+# Builds and publishes the nvsim-server Docker image to ghcr.io on:
+# - push to main affecting nvsim-server or nvsim
+# - tag push matching nvsim-server-v*
+# - manual workflow_dispatch
+#
+# ADR-092 §6.2 + §9.4.
+
+on:
+  push:
+    branches: [main]
+    paths:
+      - 'v2/crates/nvsim-server/**'
+      - 'v2/crates/nvsim/**'
+      - '.github/workflows/nvsim-server-docker.yml'
+    tags: ['nvsim-server-v*']
+  workflow_dispatch:
+
+permissions:
+  contents: read
+  packages: write
+
+jobs:
+  build-and-publish:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: docker/setup-buildx-action@v3
+
+      - uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Extract metadata
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ghcr.io/ruvnet/nvsim-server
+          tags: |
+            type=ref,event=branch
+            type=ref,event=tag
+            type=sha,format=short
+            type=raw,value=latest,enable={{is_default_branch}}
+
+      - name: Build + push
+        uses: docker/build-push-action@v5
+        with:
+          context: v2
+          file: v2/crates/nvsim-server/Dockerfile
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+          platforms: linux/amd64
+
+      - name: Smoke-test the image
+        run: |
+          docker pull ghcr.io/ruvnet/nvsim-server:sha-${GITHUB_SHA::7} || \
+            docker pull ghcr.io/ruvnet/nvsim-server:latest
+          docker run --rm -d --name nvsim-test -p 7878:7878 \
+            ghcr.io/ruvnet/nvsim-server:latest
+          sleep 4
+          curl -fsS http://localhost:7878/api/health
+          docker stop nvsim-test

.github/workflows/security-scan.yml

@@ -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'

.github/workflows/verify-pipeline.yml

@@ -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" \

.gitignore

@@ -250,3 +250,5 @@ v1/src/sensing/mac_wifi
 # Local build scripts
 firmware/esp32-csi-node/build_firmware.batdata/
 models/
+demo_pointcloud.ply
+demo_splats.json

CHANGELOG.md

@@ -7,6 +7,51 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+### Added
+- **`nvsim` crate — deterministic NV-diamond magnetometer pipeline simulator** (ADR-089) —
+  New standalone leaf crate at `v2/crates/nvsim` modeling a forward-only
+  magnetic sensing path: scene → source synthesis (Biot–Savart, dipole,
+  current loop, ferrous induced moment) → material attenuation
+  (Air/Drywall/Brick/Concrete/Reinforced/SteelSheet) → NV ensemble
+  (4 〈111〉 axes, ODMR linear-readout proxy, shot-noise floor per
+  Wolf 2015 / Barry 2020) → 16-bit ADC + lock-in demodulation →
+  fixed-layout `MagFrame` records → SHA-256 witness. Six-pass build
+  per `docs/research/quantum-sensing/15-nvsim-implementation-plan.md`.
+  50 tests, ~4.5 M samples/s on x86_64 (4500× the Cortex-A53 1 kHz
+  acceptance gate), pinned reference witness
+  `cc8de9b01b0ff5bd97a6c17848a3f156c174ea7589d0888164a441584ec593b4`
+  for byte-equivalence regression. WASM-ready by construction
+  (zero `std::time/fs/env/process/thread`); builds cleanly for
+  `wasm32-unknown-unknown`. ADR-090 (Proposed, conditional) tracks the
+  optional Lindblad/Hamiltonian extension if AC magnetometry, MW power
+  saturation, hyperfine spectroscopy, or pulsed protocols become required.
+
+### 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 +539,7 @@ 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 +547,7 @@ 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`)
 

CLAUDE.md

@@ -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 |
 |-------|-------------|
@@ -22,6 +22,7 @@ Dual codebase: Python v1 (`v1/`) and Rust port (`rust-port/wifi-densepose-rs/`).
 | `wifi-densepose-sensing-server` | Lightweight Axum server for WiFi sensing UI |
 | `wifi-densepose-wifiscan` | Multi-BSSID WiFi scanning (ADR-022) |
 | `wifi-densepose-vitals` | ESP32 CSI-grade vital sign extraction (ADR-021) |
+| `nvsim` | Deterministic NV-diamond magnetometer pipeline simulator (ADR-089) — standalone leaf, WASM-ready |
 
 ### RuvSense Modules (`signal/src/ruvsense/`)
 | Module | Purpose |
@@ -84,17 +85,17 @@ 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 +152,12 @@ 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 +170,8 @@ 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 +184,9 @@ 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 +212,13 @@ 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 +244,7 @@ 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

README.md

@@ -92,10 +92,51 @@ 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`
 >
 ---
 
+### Real-Time Dense Point Cloud (NEW)
+
+RuView now generates **real-time 3D point clouds** by fusing camera depth + WiFi CSI + mmWave radar. All sensors stream simultaneously into a unified spatial model.
+
+| Sensor | Data | Integration |
+|--------|------|-------------|
+| **Camera** | MiDaS monocular depth (GPU) | 640×480 → 19,200+ depth points per frame |
+| **ESP32 CSI** | ADR-018 binary frames (UDP) | RF tomography → 8×8×4 occupancy grid |
+| **WiFlow Pose** | 17 COCO keypoints from CSI | Skeleton overlay on point cloud |
+| **Vital Signs** | Breathing rate from CSI phase | Stored in ruOS brain every 60s |
+| **Motion** | CSI amplitude variance | Adaptive capture rate (skip depth when still) |
+
+**Quick start:**
+```bash
+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
+```
+
+**CLI commands:**
+```bash
+ruview-pointcloud demo                            # synthetic demo
+ruview-pointcloud serve --bind 127.0.0.1:9880     # live server + Three.js viewer
+ruview-pointcloud capture --output room.ply       # capture to PLY
+ruview-pointcloud train                           # depth calibration + DPO pairs
+ruview-pointcloud cameras                         # list available cameras
+ruview-pointcloud csi-test --count 100            # send test CSI frames
+ruview-pointcloud fingerprint office --seconds 5  # record named CSI room fingerprint
+```
+
+The HTTP/viewer server defaults to **loopback (`127.0.0.1`)** — exposing live camera/CSI/vitals on `0.0.0.0` is an explicit opt-in. Brain URL defaults to `http://127.0.0.1:9876` and is overridable via `RUVIEW_BRAIN_URL` env var or the `--brain` flag on `serve`/`train`.
+
+The pose overlay currently uses an **amplitude-energy heuristic** (`heuristic_pose_from_amplitude`) rather than trained WiFlow inference — real ONNX/Candle inference is tracked as a follow-up.
+
+**Performance:** 22ms pipeline, 905 req/s API, 40K voxel room model from 20 frames.
+
+**Brain integration:** Spatial observations (motion, vitals, skeleton, occupancy) sync to the ruOS brain every 60 seconds for agent reasoning.
+
+See [PR #405](https://github.com/ruvnet/RuView/pull/405) for full details.
+
 ### What's New in v0.7.0
 
 <details>
@@ -340,7 +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 |
 
 ---
@@ -540,24 +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):
 
@@ -565,128 +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>
 
@@ -814,7 +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
 
@@ -904,10 +945,12 @@ cargo add wifi-densepose-ruvector   # RuVector v2.0.4 integration layer (ADR-017
 | [`wifi-densepose-api`](https://crates.io/crates/wifi-densepose-api) | REST + WebSocket API layer | -- | [![crates.io](https://img.shields.io/crates/v/wifi-densepose-api.svg)](https://crates.io/crates/wifi-densepose-api) |
 | [`wifi-densepose-config`](https://crates.io/crates/wifi-densepose-config) | Configuration management | -- | [![crates.io](https://img.shields.io/crates/v/wifi-densepose-config.svg)](https://crates.io/crates/wifi-densepose-config) |
 | [`wifi-densepose-db`](https://crates.io/crates/wifi-densepose-db) | Database persistence (PostgreSQL, SQLite, Redis) | -- | [![crates.io](https://img.shields.io/crates/v/wifi-densepose-db.svg)](https://crates.io/crates/wifi-densepose-db) |
+| `wifi-densepose-pointcloud` | Real-time dense point cloud from camera + WiFi CSI fusion (Three.js viewer, brain bridge). Workspace-only for now. | -- | — |
+| `wifi-densepose-geo` | Geospatial context (Sentinel-2 tiles, SRTM elevation, OSM, weather, night-mode). Workspace-only for now. | -- | — |
 
 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>
 
@@ -1007,7 +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) |
@@ -1125,10 +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
@@ -1441,7 +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
@@ -1738,7 +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>
 
@@ -2111,7 +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)
@@ -2121,7 +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
@@ -2215,7 +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
 

archive/README.md

@@ -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`

archive/v1/README.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/`.