Claude 0cd418062c feat(ablation): Thompson Sampling two-signal model, speculative dual-path, constraint propagation ... Replace epsilon-greedy with two-signal Thompson Sampling (safety Beta posterior + cost EMA) for Mode C learned policy. Score = safety_sample - lambda * cost_ema provides principled exploration-exploitation. Add speculative dual-path for Mode C only: when Beta variance > 0.02 and top-2 arms within delta 0.15, run both arms (60/40 budget split) to resolve uncertainty faster while keeping Mode A/B ablation clean. Add constraint propagation pre-pass as PolicyKernel-controlled mode (Off/Light/Full, defaults to Off). Light handles InMonth+DayOfMonth direct solves; Full adds DayOfWeek pruning for ranges ≤60 days. PrepassMetrics tracks pruned_candidates, prepass_steps, scan_steps_saved. Beta sampling via Marsaglia-Tsang Gamma method + Box-Muller normal. https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G		2026-02-15 23:40:05 +00:00
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src	feat(ablation): Thompson Sampling two-signal model, speculative dual-path, constraint propagation	2026-02-15 23:40:05 +00:00
tests	feat(generator): posterior-targeting puzzle generation, weekday skipping PolicyKernel	2026-02-15 22:31:12 +00:00
Cargo.toml	feat(agi-contract): multi-dimensional IQ with cost, robustness, and AGI contract	2026-02-15 20:43:31 +00:00