glm-5.1
45a0e0798c
The architecture specs previously described detection as a single-vector path (one activation → one z-coordinate → one alarm), but the PoC operates on per-token z-coordinate sequences with a two-stage copula decomposition. Key updates: - codebook.md: Add Copula Decomposition section (z → CDF → simplex → barycentric → (S, u, v)), Direction Profiles and Contrast Pairs section, Token-Level Smoothing section, classifier weights and direction profiles to data format, updated Internal API with decompose/classify/detect methods - codebook.md: Clarify z-coordinate shapes — training is (N, 3) flattened per-token positions, inference is (seq_len, 3) per-token sequence - firewall.md: Update data flow to 10-step pipeline including copula decomposition, smoothing, and direction classification; update score composition to use direction-level P(active); update DimensionSignal dataclass; update latency budget with copula/smoothing/classification steps - model.md: Add Phase 1 (last-token) vs Phase 2 (per-token) extraction modes - ADR-009: Note last-token is Phase 1 simplification, per-token is full pipeline