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vvsandClaude Opus 5 1b6c626f67 Valeri's decisions (1) competitors from the library, (2) variant a. (1) Chandrupatla is scipy.optimize.elementwise.find_root, Brent is brentq, no more per-problem best_of. Our Chandrupatla stopped on a bracket twice as wide as every other method (the factor the protocol corrects for ITP); fixed (+0.5*xtol) in baselines.py and in the two copies found by grep (stage16_blend, stage19_modern) and the traced mirror, and pinned: ours == library on every problem. Regenerating sweep_full.json changed exactly three rows - chandrupatla APS 2785->2787, CHA 2423->2441, brent CHA 4099->4115 - and nothing else (diff_sweeps.py: 0 unexpected). 
(2) The proposed method is again the scheduled projection (2806/3220/6026), its budget multiplier DECLARED as the one free constant: the canonical total is the same for every multiplier 1.25-4, the wide-bracket one is not. The earned projection is the constant-free variant (3568/3020/6588). What the old tables hid: problem by problem the proposed rule beats Chandrupatla on the canonical set 87/24/42, exact sign test p = 9e-5, while trailing him by 0.7% in total; on the wide-bracket set he is genuinely stronger (26 to 9, p = 0.006). Gap decomposition recomputed with the library: 244 (was 262), 160 of it on the flat families (two thirds), fun1 58 (a quarter, not a third as the abstract said).

Also corrected on the way: the 'subsumed by Chandrupatla' pin claimed he is better on the worst single problem - true only with the looser tolerance (84 against the credit rule's 83 once fixed); §8.3 still called zero slack degenerate, which Table 1a refutes; §5.2's Brent figure is our pure-Python implementation and now says so. verify_article.py 286/286, 802 tests pass twice.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
 2026-09-21 10:53:00 +01:00
vvsandClaude Opus 5 e4769be9a3 slope-stability gate: the PROJECT'S OWN target is met for the first time — 5922 < 6026 over both sets at 193/199 with the guarantee intact (slope.ratio.derived3.project: APS 2848 + CHA 3074), CHA improves 4516 -> 2903 (x1.56), repairs 77.5% -> 55.3%. Honest cost: APS 2806 -> 2848, which moves us from 1st to 3rd on the canonical set (chandrupatla 2785, toms748 2820), so my stricter S1 fails while the project target passes — a positioning decision, recorded not resolved. Refusal CURRENCY is what decides: bracket progress 4449 vs model shape 2848, a 1601-evaluation difference for the same 'refuse before the step' idea 
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
 2026-09-20 23:27:43 +01:00
vvsandClaude Opus 5 a6116cd027 pre-step gate MEASURED: repairs 77.5% -> 15.9%, CHA hits the ITP target for the first time (2851 <= 2857), two sets 7440 (best of the line) — but APS grows 2806 -> 4449, so by the pre-registered stop rule the mode is NOT accepted. Cause named: my gate refuses on BRACKET PROGRESS, and this project had already measured that currency to be wrong (a secant step collapses the error while barely moving the bracket: 150 vs 86). Chandrupatla refuses on the SHAPE of the configuration. Next candidate derived, not borrowed: slope-stability gate 
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
 2026-09-20 23:15:48 +01:00
vvsandClaude Opus 5 be10fc0b22 explained, with numbers: Chandrupatla wins the probe by REFUSING its model cheaply, not by trusting it — it accepts the interpolation on only 28% of steps, its gate costs zero evaluations (read from data already in hand) and its refusal branch still halves the bracket; ours repairs 77.5% of evaluations after the fact and drops to 0.92 halvings/eval on fun8/fun9, worse than bisection. In similarity terms: their similarity is a PRE-step GATE on dimensionless ratios (a neighbourhood of the linear configuration), ours is an IN-step SCALE on the residual magnitude — the PLACEMENT of the reading matters more than its form 
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
 2026-09-20 23:05:22 +01:00