feat: ADR-033 CRV signal-line integration + ruvector-crv 6-stage pipeline

Implement full CRV (Coordinate Remote Viewing) signal-line protocol
mapping to WiFi CSI sensing via ruvector-crv:

- Stage I: CsiGestaltClassifier (6 gestalt types from amplitude/phase)
- Stage II: CsiSensoryEncoder (texture/color/temperature/sound/luminosity/dimension)
- Stage III: Mesh topology encoding (AP nodes/links → GNN graph)
- Stage IV: Coherence gate → AOL detection (signal vs noise separation)
- Stage V: Pose interrogation via differentiable search
- Stage VI: Person partitioning via MinCut clustering
- Cross-session convergence for cross-room identity

New files:
- crv/mod.rs: 1,430 lines, 43 tests
- crv_bench.rs: 8 criterion benchmarks (gestalt, sensory, pipeline, convergence)
- ADR-033: 740-line architecture decision with 30+ acceptance criteria
- patches/ruvector-crv: Fix ruvector-gnn 2.0.5 API mismatch

Dependencies: ruvector-crv 0.1.1, ruvector-gnn 2.0.5

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

rust-port/wifi-densepose-rs/crates/wifi-densepose-ruvector/Cargo.toml

@@ -16,4 +16,16 @@ ruvector-attn-mincut = { workspace = true }
 ruvector-temporal-tensor = { workspace = true }
 ruvector-solver = { workspace = true }
 ruvector-attention = { workspace = true }
+ruvector-crv = { workspace = true }
+ruvector-gnn = { workspace = true }
 thiserror = { workspace = true }
+serde = { workspace = true }
+serde_json = { workspace = true }
+
+[dev-dependencies]
+approx = "0.5"
+criterion = { workspace = true }
+
+[[bench]]
+name = "crv_bench"
+harness = false