0-Call Engine & Verification Slot
8-band pigeonhole SimHash64 blocker & weighted 5-signal scorer
Substrate: db_atomic · p99 Claim Target: ≤ 4 ms · Phase: 226 - 231 Dual-Resolution Muscle Memory, Fuzzy SimHash64 & Empirical Pareto Gates
v1.4 5-Signal Fuzzy Cognitive-Step Recall (aq227_fuzzy_cognitive_step_clustering)
Encodes 16 cognitive phases, 12 obstacle archetypes, 24 concept hypernym clusters, char 3-grams, and 8-band 64-bit Charikar SimHash for <1.5 ms cross-domain recall.
64-Bit SimHash LSH24 Concept ClustersTypo-Tolerant 3-Grams
Model-Guided Escalation & Synthesis Role
Cross-domain adaptation hint synthesizer
5-Role Component Pod: 0-Call Slot / Solver + OpenSearch / Split-Supervisor (≤4k tok) / Diagnostic Repair + Twin Shim / CPOP + Sister Distiller.
Enforced Category State Machine: muscle_memory_induction
Commit Invariant: Computes 4-path SituationFingerprints (skeleton_hash + blk_dom/blk_io/blk_err/blk_lsh + effect_mask), blocks INFRASTRUCTURE_INVALID blips from semantic learning, promotes N>=3 independent verified episodes into 0-call deterministic reflexes, and trips a circuit-breaker on postcondition drift.
Architectural Problem Solved: Graduates repeated Agent-led (1+ calls) and Hybrid workflows into sub-millisecond 0-model-call procedural muscle memory without O(N^2) vector scans or brittle exact-string caches.
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