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.