2 Commits

Include renames

Author	SHA1	Message	Date
vvsandClaude Opus 5	a86a9ed263	PREREG_out_of_sample outcome (server). Variant A (G2 + contra + remembered analogy + order point + exp limit + half) TRANSFERS: new corpus 3492 vs Chandrupatla 3899, per problem 105/34/67 p=0.0046, guarantee held, solved 205 = 205. Variant B (defect + remembered + point + exp) does NOT (total 3587 below, but per problem 95/33/78 p=0.22; loses the exponential class 9/5/26). Per class the transfer is carried by the multiple/flat-root class C3 (1194 vs 1792, 37/0/3); on C0-C2 A is at par per problem and ~6% dearer in total, C4 ~ par, C5 (near-cancelling) 691 vs 574. Ablation: every component earns its place on at least one set (contra only on APS/CHA: +9/+22, NEW -8; G2 only on NEW: +82). Addendum: C0.05 is SciPy's random step function - seeded and its cache cleared before every run for reproducibility; two unseeded runs gave the same verdicts. ... Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>	2026-09-21 19:33:07 +01:00
vvsandClaude Opus 5	47361dabea	PREREG before any run: out-of-sample corpus and ablation for the two strongest variants. corpus_new.py (seed 20260921): SciPy 'original' (6) + five generated classes x 40 (smooth simple, transcendental simple, multiple/flat |x-r|^p p~U(2,20), exponential flank, near-cancelling terms), built and validity-checked only (no method has seen it). O1-O3 = transfers (total below Chandrupatla, per-problem sign test p<0.05, guarantee); O4 vs the plain rule; per class. Leave-one-out ablation of every component on APS, CHA and the new corpus. ... Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>	2026-09-21 19:30:27 +01:00