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8bc077aeff
All modes now share the same solver capabilities. What differs is the policy mechanism that decides *when* to use them: - Mode A: fixed heuristic (posterior_range + distractor_count) - Mode B: compiler-suggested skip_mode from constraint signatures - Mode C: learned PolicyKernel (contextual bandit over skip modes) Key changes: PolicyKernel (temporal.rs): - SkipMode enum: None | Weekday | Hybrid - fixed_policy(): if DayOfWeek AND range>30 AND no distractors → Weekday - compiled_policy(): uses CompiledSolveConfig.compiled_skip_mode - learned_policy(): epsilon-greedy over per-context SkipModeStats - EarlyCommitPenalty: tracks solved-but-wrong from aggressive skipping - Hybrid mode: weekday skip + ±7 day refinement pass for safety DifficultyVector (timepuzzles.rs): - Replaces single-axis difficulty with (range_size, posterior_target, distractor_rate, noise_rate, ambiguity_count) - Flipped relationship: higher difficulty = wider range + more ambiguity (not tighter posterior) - Distractor DayOfWeek (difficulty 6+): DayOfWeek present but paired with wider Between that makes unconditional skipping risky Ablation fairness (acceptance_test.rs): - Removed feature gating: skip_weekday no longer forbidden for Mode A - All modes access same solver knobs, differ only by policy - AblationResult tracks PolicyKernel metrics (early_commit_rate, etc) - Comparison print shows policy differences explicitly 81 tests passing (61 lib + 20 integration). https://claude.ai/code/session_01RnwD4x5cbpB7FPvoyYQz8G |
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| .. | ||
| bin | ||
| acceptance_test.rs | ||
| agi_contract.rs | ||
| intelligence_metrics.rs | ||
| lib.rs | ||
| logging.rs | ||
| loop_gating.rs | ||
| reasoning_bank.rs | ||
| rvf_artifact.rs | ||
| rvf_intelligence_bench.rs | ||
| superintelligence.rs | ||
| swarm_regret.rs | ||
| temporal.rs | ||
| timepuzzles.rs | ||
| vector_index.rs | ||