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rUv
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* chore: update vendored ruvector to latest main (v2.1.0-40) Was at v2.0.5-172 (f8f2c600a), now at v2.1.0-40 (050c3fe6f). 316 commits with new crates: ruvector-coherence, sona, ruvector-core, ruvector-gnn improvements, and security hardening. Co-Authored-By: claude-flow <ruv@ruv.net> * feat: RuVector Phases 2+3 — temporal smoothing, kinematic constraints, coherence gating Phase 2 (sensing server): - Temporal keypoint smoothing via EMA (alpha=0.3) with coherence-adaptive blending - Coherence scoring: running variance of motion_energy over 20 frames - Low coherence → reduce alpha to 0.1 (trust measurements less) - Per-node prev_keypoints for frame-to-frame smoothing - Bone length clamping (±20%) in derive_single_person_pose Phase 3 (signal crate): - SkeletonConstraints: Jakobsen relaxation (3 iterations) on 12-bone COCO-17 kinematic tree — prevents impossible skeletons - CompressedPoseHistory: two-tier storage (hot f32 + warm i16 quantized) for trajectory matching and re-ID - 8 new tests for constraints + history Vendored ruvector updated to v2.1.0-40 (latest main, 316 commits). Workspace deps remain at v2.0.4 (crates.io) until v2.1.0 is published. 647 tests pass across both crates (0 failures). Refs #296 Co-Authored-By: claude-flow <ruv@ruv.net> * fix(server): use max instead of sum for multi-node person aggregation With nodes in the same room, each node sees the same people. Summing per-node counts double-counted (2 nodes × 1 person = 2 persons). Now uses max() so 2 nodes × 1 person = 1 person. Verified on real hardware: COM6 (node 1) + COM9 (node 2) on ruv.net, estimated_persons=1 with 1 person in room. Co-Authored-By: claude-flow <ruv@ruv.net> * fix(server): reduce skeleton jitter + raise person count thresholds - EMA alpha 0.3→0.15, low-coherence 0.1→0.05 - Remove tick-based noise (main jitter source) - Breathing 5x slower, extremity jitter 3x smaller, stride 2x smaller - Person count 1→2 threshold 0.65→0.80 - Aggregation sum→max for same-room nodes Verified on COM6+COM9: 1 person stable. Co-Authored-By: claude-flow <ruv@ruv.net>