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sim-numerics/sweep_aprime_s.json
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vvsandClaude Opus 5 b677283afc Article: the similarity in the step is earned, not scaffolding; literature in place. 
S-ablation of A' (server): A' with each of the nine similarity functions in the step - tent 4443 on the paper protocol (13032 over 855 problems), the nearest other function e^-|z| 4988 (+12%; +9% over six corpora), quadratic ones 18410-18422 (+315%); ranking as the contraction law predicts; guarantee held with every S. The audit of section 7 rerun on the regenerated sweeps (APS unchanged: triple by shape -493 with the tent, +250 with 1/sqrt(1+z^2); defect -283 vs +215).

Text: abstract and section 3 no longer call the similarity scaffolding - the tent making the step Newton's is a property of the similarity chosen; a paragraph in section 7 on the audit; Table 9a; new 8.6 'What is known, and what is new' - Lagouanelle (the order estimate of 7.1 / 10.5), Rall and Hansen-Patrick (8.1), the log-log slope / COC / ACOC (8.2, formula 6), Schroeder and Traub (the split 7 = false position on sign(f)|f|^(1/m)), Brent's acceptance condition (half), Dekker/Brent (tolerance step); what we found no counterpart for is the decision layer by similarity and analogy and the step set by a similarity whose form is decisive. References 13-19. verify_article: Table 9a, the percentages and the audit numbers added; server 446 OK, 0 BAD; regression x2 1226 passed, 0 failed.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-21 21:22:41 +01:00

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[103, true], "aps.15.23": [103, true], "aps.15.24": [102, true], "aps.15.25": [101, true], "aps.15.26": [102, true], "aps.15.27": [102, true], "aps.15.28": [103, true], "aps.15.29": [103, true], "aps.15.30": [103, true]}}, "CHA": {"total": 3752, "solved": 40, "n": 45, "over": 0, "per": {"fun1.1": [82, true], "fun1.2": [91, true], "fun1.3": [97, true], "fun1.4": [113, true], "fun1.5": [153, true], "fun2.1": [82, true], "fun2.2": [111, true], "fun2.3": [122, true], "fun2.4": [150, true], "fun2.5": [162, true], "fun3.1": [25, true], "fun3.2": [26, true], "fun3.3": [29, true], "fun3.4": [29, true], "fun3.5": [32, true], "fun4.1": [27, true], "fun4.2": [27, true], "fun4.3": [32, true], "fun4.4": [32, true], "fun4.5": [35, true], "fun5.1": [46, true], "fun5.2": [42, true], "fun5.3": [23, true], "fun5.4": [23, true], "fun5.5": [23, true], "fun6.1": [45, true], "fun6.2": [53, true], "fun6.3": [46, true], "fun6.4": [48, true], "fun6.5": [49, true], "fun7.1": [23, false], "fun7.2": [36, false], "fun7.3": [31, false], "fun7.4": [48, false], "fun7.5": [58, false], "fun8.1": [85, true], "fun8.2": [86, true], "fun8.3": [91, true], "fun8.4": [93, true], "fun8.5": [96, true], "fun9.1": [82, true], "fun9.2": [86, true], "fun9.3": [90, true], "fun9.4": [92, true], "fun9.5": [96, true]}}}]
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