v1767

KlingAIResearch/LivePortraitv1767Jun 14, 2026by github-actions[bot]

AI Summary

Documents the architectural integration design for RuField and RuView, focusing on privacy model consistency and cross-modal fusion architecture.

Key Highlights

Research document for RuField↔RuView integration design (ADR-262).
Defines vertical fusion composition between ruvsense and rufield.
Identifies privacy mapping challenge: Derived byte value vs. information content.

Full Release Notes

Automated release from CI pipeline

**Changes:**
docs(adr-262): RuField↔RuView integration design (Proposed) (#1069)

Researched integration ADR: thin wifi-densepose-rufield bridge crate
(rvcsi pattern), live SensingServerAdapter emitting signed FieldEvents,
vertical fusion composition (ruvsense within-WiFi → rufield cross-modal),
and ONE canonical privacy/provenance model (RuView effective_class →
RuField P0-P5 at egress; reuse cog-ha-matter SHA-256+Ed25519 receipt).
Key finding: RuView has 2 privacy enums + 3 witness mechanisms; the
Derived(byte=1)<Anonymous(byte=2)-but-carries-identity trap means the
bridge must map by information content, not byte value. Plumbing
architecture, not accuracy (real-CSI is unlabeled replay today).

Co-authored-by: ruv <ruvnet@gmail.com>

**Docker Image:**
`ghcr.io/ruvnet/RuView:faca0530defc1599ae0be96308046740d466f509`