* docs(adr-117): seed branch — ADR-117 pip-modernization spec + soul-signature research bundle
Two artifacts landing together on this new branch as the prerequisite
documentation for the v2.0.0 Python wheel modernization work:
1. **docs/adr/ADR-117-pip-wifi-densepose-modernization.md** (644 lines)
— Plan to bring the 2025-published `wifi-densepose` PyPI package
(last release v1.1.0, 2025-06-07, 11.5 months out of sync) up to
the current Rust v2/ workspace SOTA. Recommends PyO3 + maturin
with abi3-py310 (one binary covers Python 3.10–3.13 per OS/arch),
first-wheel scope = core + vitals + signal crates (~5 MB), v1.99.0
tombstone + 90-day un-yank window for v1.1.0, v2.0.0 hard break.
Open questions catalogued; phases P1–P6+ laid out with concrete
acceptance criteria.
2. **docs/research/soul/** (5 files, ~1,450 lines) — Soul Signature
research spec: 7-channel electromagnetic biometric fingerprint
(AETHER 128-dim + cardiac HR/HRV + cardiac waveform morphology +
respiratory pattern + gait timing + skeletal proportions +
subcarrier reflection profile), fused into one RVF graph file.
Includes 60s scanning protocol, 5-layer security model,
threat-model + mitigations, references to existing ADRs (014,
021, 024, 027, 030, 039, 079, 106, 108, 109, 110, 115). Marked
"Research Specification (Pre-Implementation)". Explicit "what
this is NOT" disclaimers preempt pseudoscience drift; every
discriminative-power claim either cites a measurement or is
marked "open research; baseline TBD".
Branch off main at HEAD; ready for /loop 10m implementation
iterations.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(adr-117/p1): scaffold python/ workspace — PyO3 + maturin + smoke tests (refs #785)
ADR-117 P1 — the python/ directory is now a working maturin-buildable
crate that produces the v2.x replacement for the legacy pure-Python
wifi-densepose==1.1.0 PyPI wheel.
## What lands
- `python/Cargo.toml` — PyO3 0.22 with `extension-module` + `abi3-py310`
(one binary covers Python 3.10–3.13 per OS/arch — keeps the
cibuildwheel matrix to 5 wheels per release, not 20). Depends on
`wifi-densepose-core` from the existing v2/ workspace via relative
path.
- `python/pyproject.toml` — maturin>=1.7 build backend with
`python-source = "python"` and `module-name = "wifi_densepose._native"`
so the compiled module loads as an internal underscore-private
submodule of the user-facing `wifi_densepose` package. PEP 621
metadata + classifiers + project URLs. Optional-deps:
`wifi-densepose[client]` for the P4 WS/MQTT pure-Python layer,
`wifi-densepose[dev]` for the test toolchain (pytest, ruff, mypy).
- `python/src/lib.rs` — minimal `#[pymodule] wifi_densepose_native`
exporting `__rust_version__`, `__rust_build_tag__`,
`__build_features__`, and a `hello()` smoke function. P2 will land
the core type bindings here.
- `python/wifi_densepose/__init__.py` — pure-Python facade re-exporting
the compiled module's symbols under their stable user-facing names.
Docstring teaches the v1→v2 migration story up-front.
- `python/wifi_densepose/py.typed` — PEP 561 marker so `mypy --strict`
in user code treats the wheel as fully typed (real stubs land in P2).
- `python/tests/test_smoke.py` — 6 P1 acceptance tests:
1. package imports without error
2. version string is PEP 440-compliant
3. `__rust_version__` is reachable from Python (the diagnostic
surface ADR-117 §5.2 promised)
4. `__build_features__` lists `p1-scaffold` marker
5. `wifi_densepose.hello()` returns "ok" (FFI round-trip)
6. `wifi_densepose._native` is reachable but the leading underscore
conveys "private; users should import the parent package"
- `python/README.md` — phase ledger, local build instructions
(`maturin develop`), layout diagram.
## What's deferred to P2+
- Core type bindings (`CsiFrame`, `Keypoint`, `PoseEstimate`) — P2
- Vitals + signal DSP bindings + witness v2 — P3
- Pure-Python WS/MQTT client layer (`wifi_densepose[client]`) — P4
- cibuildwheel + PyPI publish — P5
- v1.99.0 tombstone — concurrent with P5
The new `python/` crate is intentionally OUTSIDE the v2/ Cargo
workspace — it has its own Cargo.toml with `[package]` not
`[workspace.package]` inheritance — to keep maturin's `python-source`
+ `module-name` config self-contained and to avoid forcing every
`cargo test --workspace` invocation in v2/ to compile pyo3.
Refs ADR-117 §5 (Detailed design) and §6 (Phased migration).
Refs #785 (tracking issue).
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix(adr-117/p1): standalone Cargo.toml + python-source=. + #[pyo3(name=_native)] (P1 GREEN)
Three fixes to make maturin develop actually work locally:
1. `python/Cargo.toml` removed `*.workspace = true` inheritance —
the python/ crate is intentionally outside the v2/ workspace
(ADR-117 §5.2) so it needs every `[package]` field local.
2. `python/pyproject.toml` `python-source = "python"` was wrong
because pyproject.toml lives at python/ — maturin was looking for
python/python/. Changed to `python-source = "."` so the
`wifi_densepose/` package directory sibling-to-pyproject is found.
3. `python/src/lib.rs` `#[pymodule] fn wifi_densepose_native` →
`#[pymodule] #[pyo3(name = "_native")] fn wifi_densepose_native`.
PyO3 generates `PyInit__native` from the pyo3-name attribute, which
must match the `module-name` in pyproject.toml's [tool.maturin]
block ("wifi_densepose._native"). Without this attribute the wheel
builds but `import wifi_densepose._native` fails with
ModuleNotFoundError.
## Local validation (P1 acceptance gate)
```
$ python -m venv .venv && .venv/Scripts/python -m pip install maturin pytest
$ VIRTUAL_ENV=… maturin develop --release
…
Finished `release` profile [optimized] target(s)
📦 Built wheel for abi3 Python ≥ 3.10
🛠 Installed wifi-densepose-2.0.0a1
$ .venv/Scripts/python -c 'import wifi_densepose; print(wifi_densepose.__version__, wifi_densepose.__rust_version__, wifi_densepose.hello())'
2.0.0a1 2.0.0-alpha.1 ok
$ .venv/Scripts/python -m pytest tests/ -v
tests/test_smoke.py::test_package_imports PASSED
tests/test_smoke.py::test_version_string_well_formed PASSED
tests/test_smoke.py::test_rust_version_surfaced PASSED
tests/test_smoke.py::test_build_features_listed PASSED
tests/test_smoke.py::test_hello_returns_ok PASSED
tests/test_smoke.py::test_native_module_private PASSED
======================== 6 passed in 0.05s =========================
```
P1 closed. Moving to P2 (core type bindings).
Refs #785, ADR-117 §6.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(adr-117/p2): Keypoint + KeypointType bindings — 23 new tests (29/29 GREEN)
Lands the first chunk of P2: PyO3 bindings for `Keypoint` and
`KeypointType` from `wifi_densepose_core`. Bound types surface to
Python as `wifi_densepose.Keypoint` / `wifi_densepose.KeypointType`.
## Design choices that affect the API surface
1. **`Confidence` is NOT bound as a separate class.** Users hate
wrapping a float in a constructor. Python-side, confidence is just
a `float in [0.0, 1.0]`; the binding validates on construction
(`ValueError` for out-of-range, matching the Rust core error).
2. **`KeypointType` is a `#[pyclass(eq, eq_int, hash, frozen)]` enum**
— hashable so users can drop it into dicts/sets (the most common
pattern in pose-analysis notebooks: `keypoints_by_type[k.type] = k`).
3. **`Keypoint.__init__` keyword-only `z`** so 2D users don't have to
write `None` and 3D users get a clear named arg:
`Keypoint(KeypointType.LeftWrist, 0.2, 0.4, 0.8, z=0.1)`.
4. **`Keypoint` is `#[pyclass(frozen)]`** — no in-place mutation. The
Rust core type is immutable through Copy + Hash + Eq, and exposing
setters from Python would create a copy-vs-reference inconsistency
between languages.
## Files
- `python/src/bindings/keypoint.rs` — 220 lines of `#[pymethods]`
wrappers + Rust↔Python enum round-trip
- `python/src/lib.rs` — `mod bindings { pub mod keypoint; }` +
`bindings::keypoint::register(m)?` call from `#[pymodule]`
- `python/wifi_densepose/__init__.py` — re-exports `Keypoint` and
`KeypointType` at the package root
- `python/tests/test_keypoint.py` — 23 tests covering:
- 17-element COCO ordering of `KeypointType.all()`
- index→type mapping for every variant
- snake_name matches COCO spec
- `is_face()` / `is_upper_body()` predicates
- hashability (the bug I caught when I added the set-based face
test — fixed by adding `hash` to the `#[pyclass]` attribute)
- 2D + 3D constructor variants
- position_2d / position_3d tuples
- is_visible threshold
- confidence validation (Err on out-of-range)
- distance_to (2D Euclidean, 3D Euclidean, fallback when one is 2D
and the other is 3D)
- __repr__ + __eq__
- the new `p2-keypoint-bindings` feature marker landed
## Local validation
\`\`\`
$ cd python && .venv/Scripts/python -m pytest tests/ -v
tests/test_smoke.py::test_package_imports PASSED
tests/test_smoke.py::test_version_string_well_formed PASSED
tests/test_smoke.py::test_rust_version_surfaced PASSED
tests/test_smoke.py::test_build_features_listed PASSED
tests/test_smoke.py::test_hello_returns_ok PASSED
tests/test_smoke.py::test_native_module_private PASSED
tests/test_keypoint.py::test_keypoint_type_all_returns_17 PASSED
…
======================== 29 passed in 0.06s =========================
\`\`\`
Wheel size after both bindings: still well under the 5 MB ADR §5.4
budget (release build with --strip on Windows: ~340 KB).
Also adds `python/.gitignore` to prevent the `.venv/` + `target/` +
`_native.abi3.pyd` artifacts from getting committed.
## What's left in P2
CsiFrame + PoseEstimate bindings land in the next iteration. They're
larger (CsiFrame has the subcarrier buffer; PoseEstimate has
17×Keypoint + BoundingBox + track_id + score). Pattern is now proven
so they go faster.
Refs #785, ADR-117 §6.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(adr-117/p2): BoundingBox + PersonPose + PoseEstimate — P2 COMPLETE (57/57 tests GREEN)
Lands the second + third chunks of P2: PyO3 bindings for `BoundingBox`,
`PersonPose`, `PoseEstimate` from `wifi_densepose_core`. Combined with
the prior Keypoint + KeypointType bindings (
|
||
|---|---|---|
| .. | ||
| .issue-177-body.md | ||
| ADR-001-wifi-mat-disaster-detection.md | ||
| ADR-002-ruvector-rvf-integration-strategy.md | ||
| ADR-003-rvf-cognitive-containers-csi.md | ||
| ADR-004-hnsw-vector-search-fingerprinting.md | ||
| ADR-005-sona-self-learning-pose-estimation.md | ||
| ADR-006-gnn-enhanced-csi-pattern-recognition.md | ||
| ADR-007-post-quantum-cryptography-secure-sensing.md | ||
| ADR-008-distributed-consensus-multi-ap.md | ||
| ADR-009-rvf-wasm-runtime-edge-deployment.md | ||
| ADR-010-witness-chains-audit-trail-integrity.md | ||
| ADR-011-python-proof-of-reality-mock-elimination.md | ||
| ADR-012-esp32-csi-sensor-mesh.md | ||
| ADR-013-feature-level-sensing-commodity-gear.md | ||
| ADR-014-sota-signal-processing.md | ||
| ADR-015-public-dataset-training-strategy.md | ||
| ADR-016-ruvector-integration.md | ||
| ADR-017-ruvector-signal-mat-integration.md | ||
| ADR-018-esp32-dev-implementation.md | ||
| ADR-019-sensing-only-ui-mode.md | ||
| ADR-020-rust-ruvector-ai-model-migration.md | ||
| ADR-021-vital-sign-detection-rvdna-pipeline.md | ||
| ADR-022-windows-wifi-enhanced-fidelity-ruvector.md | ||
| ADR-023-trained-densepose-model-ruvector-pipeline.md | ||
| ADR-024-contrastive-csi-embedding-model.md | ||
| ADR-025-macos-corewlan-wifi-sensing.md | ||
| ADR-026-survivor-track-lifecycle.md | ||
| ADR-027-cross-environment-domain-generalization.md | ||
| ADR-028-esp32-capability-audit.md | ||
| ADR-029-ruvsense-multistatic-sensing-mode.md | ||
| ADR-030-ruvsense-persistent-field-model.md | ||
| ADR-031-ruview-sensing-first-rf-mode.md | ||
| ADR-032-multistatic-mesh-security-hardening.md | ||
| ADR-033-crv-signal-line-sensing-integration.md | ||
| ADR-034-expo-mobile-app.md | ||
| ADR-035-live-sensing-ui-accuracy.md | ||
| ADR-036-rvf-training-pipeline-ui.md | ||
| ADR-037-multi-person-pose-detection.md | ||
| ADR-038-sublinear-goal-oriented-action-planning.md | ||
| ADR-039-esp32-edge-intelligence.md | ||
| ADR-040-wasm-programmable-sensing.md | ||
| ADR-041-wasm-module-collection.md | ||
| ADR-042-coherent-human-channel-imaging.md | ||
| ADR-043-sensing-server-ui-api-completion.md | ||
| ADR-044-geospatial-satellite-integration.md | ||
| ADR-045-amoled-display-support.md | ||
| ADR-046-android-tv-box-armbian-deployment.md | ||
| ADR-047-psychohistory-observatory-visualization.md | ||
| ADR-048-adaptive-csi-classifier.md | ||
| ADR-049-cross-platform-wifi-interface-detection.md | ||
| ADR-050-provisioning-tool-enhancements.md | ||
| ADR-050-quality-engineering-security-hardening.md | ||
| ADR-052-ddd-bounded-contexts.md | ||
| ADR-052-tauri-desktop-frontend.md | ||
| ADR-053-ui-design-system.md | ||
| ADR-054-desktop-full-implementation.md | ||
| ADR-055-integrated-sensing-server.md | ||
| ADR-056-ruview-desktop-capabilities.md | ||
| ADR-057-firmware-csi-build-guard.md | ||
| ADR-058-ruvector-wasm-browser-pose-example.md | ||
| ADR-059-live-esp32-csi-pipeline.md | ||
| ADR-060-provision-channel-mac-filter.md | ||
| ADR-061-qemu-esp32s3-firmware-testing.md | ||
| ADR-062-qemu-swarm-configurator.md | ||
| ADR-063-mmwave-sensor-fusion.md | ||
| ADR-064-multimodal-ambient-intelligence.md | ||
| ADR-065-happiness-scoring-seed-bridge.md | ||
| ADR-066-esp32-swarm-seed-coordinator.md | ||
| ADR-067-ruvector-v2.0.5-upgrade.md | ||
| ADR-068-per-node-state-pipeline.md | ||
| ADR-069-cognitum-seed-csi-pipeline.md | ||
| ADR-070-self-supervised-pretraining.md | ||
| ADR-071-ruvllm-training-pipeline.md | ||
| ADR-072-wiflow-architecture.md | ||
| ADR-073-multifrequency-mesh-scan.md | ||
| ADR-074-spiking-neural-csi-sensing.md | ||
| ADR-075-mincut-person-separation.md | ||
| ADR-076-csi-spectrogram-embeddings.md | ||
| ADR-077-novel-rf-sensing-applications.md | ||
| ADR-078-multifreq-mesh-applications.md | ||
| ADR-079-camera-ground-truth-training.md | ||
| ADR-080-qe-remediation-plan.md | ||
| ADR-081-adaptive-csi-mesh-firmware-kernel.md | ||
| ADR-082-pose-tracker-confirmed-output-filter.md | ||
| ADR-083-per-cluster-pi-compute-hop.md | ||
| ADR-084-rabitq-similarity-sensor.md | ||
| ADR-085-rabitq-pipeline-expansion.md | ||
| ADR-086-edge-novelty-gate.md | ||
| ADR-089-nvsim-nv-diamond-simulator.md | ||
| ADR-090-nvsim-lindblad-extension.md | ||
| ADR-091-stand-off-radar-tier-research.md | ||
| ADR-092-nvsim-dashboard-implementation.md | ||
| ADR-093-dashboard-gap-analysis.md | ||
| ADR-094-pointcloud-github-pages-deployment.md | ||
| ADR-095-rvcsi-edge-rf-sensing-platform.md | ||
| ADR-096-rvcsi-ffi-crate-layout.md | ||
| ADR-097-adopt-rvcsi-as-ruview-csi-runtime.md | ||
| ADR-098-evaluate-midstream-fit.md | ||
| ADR-099-midstream-introspection-tap.md | ||
| ADR-100-cog-packaging-specification.md | ||
| ADR-101-pose-estimation-cog.md | ||
| ADR-102-edge-module-registry.md | ||
| ADR-103-learned-multi-person-counter.md | ||
| ADR-104-ruview-mcp-cli-distribution.md | ||
| ADR-105-federated-csi-training.md | ||
| ADR-106-dp-sgd-and-primitive-isolation.md | ||
| ADR-107-cross-installation-federation.md | ||
| ADR-108-kyber-post-quantum-key-exchange.md | ||
| ADR-109-dilithium-pqc-signatures.md | ||
| ADR-110-esp32-c6-firmware-extension.md | ||
| ADR-113-multistatic-placement-strategy.md | ||
| ADR-114-cog-quantum-vitals.md | ||
| ADR-115-home-assistant-integration.md | ||
| ADR-116-cog-ha-matter-seed.md | ||
| ADR-117-pip-wifi-densepose-modernization.md | ||
| ADR-118-bfld-beamforming-feedback-layer-for-detection.md | ||
| ADR-119-bfld-frame-format-and-wire-protocol.md | ||
| ADR-120-bfld-privacy-class-and-hash-rotation.md | ||
| ADR-121-bfld-identity-risk-scoring.md | ||
| ADR-122-bfld-ruview-ha-matter-exposure.md | ||
| ADR-123-bfld-capture-path-nexmon-and-esp32.md | ||
| README.md | ||
README.md
Architecture Decision Records
This folder contains 44 Architecture Decision Records (ADRs) that document every significant technical choice in the RuView / WiFi-DensePose project.
Why ADRs?
Building a system that turns WiFi signals into human pose estimation involves hundreds of non-obvious decisions: which signal processing algorithms to use, how to bridge ESP32 firmware to a Rust pipeline, whether to run inference on-device or on a server, how to handle multi-person separation with limited subcarriers.
ADRs capture the context, options considered, decision made, and consequences for each of these choices. They serve three purposes:
-
Institutional memory — Six months from now, anyone (human or AI) can read why we chose IIR bandpass filters over FIR for vital sign extraction, not just see the code.
-
AI-assisted development — When an AI agent works on this codebase, ADRs give it the constraints and rationale it needs to make changes that align with the existing architecture. Without them, AI-generated code tends to drift — reinventing patterns that already exist, contradicting earlier decisions, or optimizing for the wrong tradeoffs.
-
Review checkpoints — Each ADR is a reviewable artifact. When a proposed change touches the architecture, the ADR forces the author to articulate tradeoffs before writing code, not after.
ADRs and Domain-Driven Design
The project uses Domain-Driven Design (DDD) to organize code into bounded contexts — each with its own language, types, and responsibilities. ADRs and DDD work together:
- ADRs define boundaries: ADR-029 (RuvSense) established multistatic sensing as a separate bounded context from single-node CSI. ADR-042 (CHCI) defined a new aggregate root for coherent channel imaging.
- DDD models define the language: The RuvSense domain model defines terms like "coherence gate", "dwell time", and "TDM slot" that ADRs reference precisely.
- Together they prevent drift: An AI agent reading ADR-039 knows that edge processing tiers are configured via NVS keys, not compile-time flags — because the ADR says so. The DDD model tells it which aggregate owns that configuration.
How ADRs are structured
Each ADR follows a consistent format:
- Context — What problem or gap prompted this decision
- Decision — What we chose to do and how
- Consequences — What improved, what got harder, and what risks remain
- References — Related ADRs, papers, and code paths
Statuses: Proposed (under discussion), Accepted (approved and/or implemented), Superseded (replaced by a later ADR).
ADR Index
Hardware and firmware
| ADR | Title | Status |
|---|---|---|
| ADR-012 | ESP32 CSI Sensor Mesh for Distributed Sensing | Accepted (partial) |
| ADR-018 | ESP32 Development Implementation Path | Proposed |
| ADR-028 | ESP32 Capability Audit and Witness Record | Accepted |
| ADR-029 | RuvSense Multistatic Sensing Mode (TDM, channel hopping) | Proposed |
| ADR-032 | Multistatic Mesh Security Hardening | Accepted |
| ADR-039 | ESP32-S3 Edge Intelligence Pipeline (on-device vitals) | Accepted (hardware-validated) |
| ADR-040 | WASM Programmable Sensing (Tier 3) | Accepted |
| ADR-041 | WASM Module Collection (65 edge modules) | Accepted (hardware-validated) |
| ADR-044 | Provisioning Tool Enhancements | Proposed |
| ADR-110 | ESP32-C6 firmware extension — Wi-Fi 6 / 802.15.4 / TWT / LP-core | Accepted, P1-P10 complete, firmware-side substrate closed at v0.7.0-esp32. Companion docs: WITNESS-LOG-110 (13 §A0.x entries · 99.56 % cross-board RX · 104.1 µs smoothed sync stdev · ≤100 µs target met), ADR-110-REVIEW-GUIDE (one-page reviewer tour), ADR-110-BRANCH-STATE (coordination map vs feat/adr-115-ha-mqtt-matter). Host decoders + tests: Python SyncPacketParser (10) + Rust wifi_densepose_hardware::SyncPacket (15), cross-language hex pin gates drift. |
Signal processing and sensing
| ADR | Title | Status |
|---|---|---|
| ADR-013 | Feature-Level Sensing on Commodity Gear | Accepted |
| ADR-014 | SOTA Signal Processing Algorithms | Accepted |
| ADR-021 | Vital Sign Detection (breathing, heart rate) | Partial |
| ADR-030 | Persistent Field Model and Drift Detection | Proposed |
| ADR-033 | CRV Signal Line Sensing Integration | Proposed |
| ADR-037 | Multi-Person Pose Detection from Single ESP32 | Proposed |
| ADR-042 | Coherent Human Channel Imaging (beyond CSI) | Proposed |
Machine learning and training
| ADR | Title | Status |
|---|---|---|
| ADR-005 | SONA Self-Learning for Pose Estimation | Partial |
| ADR-006 | GNN-Enhanced CSI Pattern Recognition | Partial |
| ADR-015 | Public Dataset Strategy (MM-Fi, Wi-Pose) | Accepted |
| ADR-016 | RuVector Training Pipeline Integration | Accepted |
| ADR-017 | RuVector Signal + MAT Integration | Proposed |
| ADR-020 | Migrate AI Inference to Rust (ONNX Runtime) | Accepted |
| ADR-023 | Trained DensePose Model with RuVector Pipeline | Proposed |
| ADR-024 | Project AETHER: Contrastive CSI Embeddings | Required |
| ADR-027 | Project MERIDIAN: Cross-Environment Generalization | Proposed |
Platform and UI
| ADR | Title | Status |
|---|---|---|
| ADR-019 | Sensing-Only UI with Gaussian Splats | Accepted |
| ADR-022 | Windows WiFi Enhanced Fidelity (multi-BSSID) | Partial |
| ADR-025 | macOS CoreWLAN WiFi Sensing | Proposed |
| ADR-031 | RuView Sensing-First RF Mode | Proposed |
| ADR-034 | Expo React Native Mobile App | Accepted |
| ADR-035 | Live Sensing UI Accuracy and Data Transparency | Accepted |
| ADR-036 | Training Pipeline UI Integration | Proposed |
| ADR-043 | Sensing Server UI API Completion (14 endpoints) | Accepted |
| ADR-115 | Home Assistant integration via MQTT auto-discovery + Matter bridge (HA-DISCO + HA-FABRIC + HA-MIND) | Accepted (MQTT track) / Proposed (Matter SDK P8b) |
Architecture and infrastructure
| ADR | Title | Status |
|---|---|---|
| ADR-001 | WiFi-Mat Disaster Detection Architecture | Accepted |
| ADR-002 | RuVector RVF Integration Strategy | Superseded |
| ADR-003 | RVF Cognitive Containers for CSI | Proposed |
| ADR-004 | HNSW Vector Search for Fingerprinting | Partial |
| ADR-007 | Post-Quantum Cryptography for Sensing | Proposed |
| ADR-008 | Distributed Consensus for Multi-AP | Proposed |
| ADR-009 | RVF WASM Runtime for Edge Deployment | Proposed |
| ADR-010 | Witness Chains for Audit Trail Integrity | Proposed |
| ADR-011 | Proof-of-Reality and Mock Elimination | Proposed |
| ADR-026 | Survivor Track Lifecycle (MAT crate) | Accepted |
| ADR-038 | Sublinear GOAP for Roadmap Optimization | Proposed |
| ADR-095 | rvCSI — Edge RF Sensing Runtime Platform | Proposed |
| ADR-096 | rvCSI — Crate Topology, the napi-c Shim, and the napi-rs Node Surface | Proposed |
| ADR-097 | Adopt rvCSI as RuView's primary CSI runtime (phased adoption) | Proposed |
| ADR-098 | Evaluate ruvnet/midstream for RuView's CSI / WebSocket / mesh pipeline |
Rejected |
| ADR-099 | Adopt midstream as RuView's real-time introspection + low-latency tap | Proposed |
Related
- DDD Domain Models — Bounded context definitions, aggregate roots, and ubiquitous language
- User Guide — Setup, API reference, and hardware instructions
- Build Guide — Building from source