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 > **Beta Software** — Under active development. APIs and firmware may change. Known limitations:
 > - ESP32-C3 and original ESP32 are not supported (single-core, insufficient for CSI DSP)
 > - Single ESP32 deployments have limited spatial resolution — use 2+ nodes or add a [Cognitum Seed](https://cognitum.one) for best results
-> - Camera-free pose accuracy is limited (PCK@20 ≈ 2.5% with proxy labels) — [camera ground-truth training](docs/adr/ADR-079-camera-ground-truth-training.md) targets **35%+ PCK@20**; the pipeline is implemented, but the data-collection and evaluation phases (ADR-079 P7–P9) are still pending, so no measured camera-supervised PCK@20 has been published yet
+> - Camera-free pose accuracy is limited (PCK@20 ≈ 2.5% with proxy labels) — [camera ground-truth training](docs/adr/ADR-079-camera-ground-truth-training.md) targets **35%+ PCK@20**; the pipeline is implemented, but the data-collection and evaluation phases (ADR-079 P7–P9) are still pending.
 >
 > Contributions and bug reports welcome at [Issues](https://github.com/ruvnet/RuView/issues).
 
-> **What's new (2026-05-23):**
-> - **ESP32-C6 firmware substrate closed** ([ADR-110](docs/adr/ADR-110-esp32-c6-firmware-extension.md), [v0.7.0-esp32](https://github.com/ruvnet/RuView/releases/tag/v0.7.0-esp32)) — Wi-Fi 6 + 802.15.4 + TWT + LP-core dual-target firmware with a **measured 99.56 % cross-board ESP-NOW mesh RX rate**, **104.1 µs smoothed sync stdev**, **3.95× EMA suppression** — the ADR-110 §2.4 ≤100 µs multistatic alignment target is empirically met. 32-byte sync packet, host decoders in Python + Rust with a cross-language hex pin, REST `/api/v1/mesh` + `/mesh/metrics` (Prometheus), WebSocket `sensing_update.sync` field. [PR #764](https://github.com/ruvnet/RuView/pull/764).
-> - **Home Assistant + Matter integration** ([ADR-115](docs/adr/ADR-115-home-assistant-integration.md)) — drop into any HA install with `--mqtt`, pair into Apple Home / Google Home / Alexa / SmartThings as a Matter Bridge, 21 entity kinds per node (11 raw + 10 inferred semantic primitives), 8 starter HA Blueprints, 3 Lovelace dashboards, privacy mode that strips biometrics at the wire while semantic states keep working. [PR #778](https://github.com/ruvnet/RuView/pull/778).
-
 ## **See through walls with WiFi** ##
 
 **Turn ordinary WiFi into a spatial intelligence / sensing system.** Detect people, measure breathing and heart rate, track movement, and monitor rooms — through walls, in the dark, with no cameras or wearables. Just physics.