russell@unturf.com
6734f8037f
The dry-run was still using safe_weights(); Phase 1.c shipped sweep_weights() (γ_5f=1.5, λ_capital_cost=0.25, ν_witness_divergence=0.5) precisely for sleep-sweep economics. Swap both call sites in prometheus_sigma_sweep_dryrun.py and label the report Weight profile: sweep (§15.4). §15.4 adds the sweep profile alongside §15.1 safe / §15.2 conservative / §15.3 exploratory so the named-profile registry has a single doc source of truth and the dry-run report's §15.4 reference resolves. §22 dry-run-runs table (3 rows: initial uniform-τ-1d under safe; per-mode τ under safe; per-mode τ under sweep) replaces the prior inline narrative count. Includes a Phase-3-design observation: the sweep profile flattens the softmax (DEFERRED 271 → 369; REJECT 205 → 110; ACCEPT 1 → 0; MARGINAL 2 → 3) because reducing λ_capital_cost + ν_witness_divergence shrinks the gap between high-Δ5F and low-Δ5F branches, so fewer branches reach Kelly's p_i > 0.5 floor. Falsification-fixture proposal count stayed flat (447 → 449) — the §13 step 11 emission path is upstream of decision labeling, so sweep mode preserves information-gathering value while concentrating action-taking on the high-confidence tail. Phase 3 ticket #000045 §2 deliberately leaves softmax temperature un-pinned because of this trade-off. |
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| .. | ||
| batteries | ||
| fixtures | ||
| results | ||
| scripts | ||
| emergent_log.jsonl | ||
| prometheus_sigma_trigger_probe.py | ||
| qa_questions.txt | ||
| qa_questions_canonical_witness_npower.txt | ||
| qa_questions_metacog_subset.txt | ||
| qa_questions_progressive_and.txt | ||
| qa_questions_quantifier_baseline.txt | ||
| qa_questions_quantifier_subset.txt | ||
| qa_questions_smoke.txt | ||
| qa_questions_warrant_chain_aggressive.txt | ||
| qa_questions_warrant_chain_paraphrase.txt | ||
| qa_questions_warrant_chain_probe.txt | ||
| qa_sweep.py | ||
| run.sh | ||