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12 hoursThe missing term was unary: omit-size solved at its ceiling in 1.4sYurenHao0426
Adversarial review of the artifacts found three of my numbers to be artifacts of my own code. All three reproduced here before acceptance: - anchor_bound presented probe rows in the same index order on both sides, so exact twins had their tie broken onto the diagonal. 0.997 -> 0.920 on omit-size. Fixed by scrambling the T-side presentation. - The truth is not a strict local minimum: 51 transpositions have exactly zero energy delta. fast_pair_descent only looked stationary because its break test treats zero as no-improvement. - scipy's FAQ takes no n_init, so it was swallowed into unknown_options and 'FAQ x30 restarts' computed bit-identically to plain FAQ. Replaced with a real restart loop over P0='randomized'. The blind ceiling for omit-size is 0.836, not 1.0: the text field has 51 exact transposition automorphisms, so T[s,s] is bitwise identical to T and no objective f(V, P T P^T) can separate an orbit at any order. Every synthetic accuracy was being divided by the wrong denominator. The fifteen failed solvers share one property -- all purely quadratic or purely spectral, none with a node-level term. Eight moments of each node's own field row, blended with the quadratic term through Frank-Wolfe, reach 0.837 with an energy gap of exactly zero. The term must stay in the loop: as a seed for pure-quadratic descent it scores 0.21, pinned through the iterations it scores 0.84 -- which is also why amplification plateaued, being itself pure-quadratic. Co-Authored-By: Claude <noreply@anthropic.com>
14 hoursRecord the matching battery: fifteen solvers, one amplifierYurenHao0426
Adds MATCHING_RESULTS.md. Entropic GW annealed and PATH both reach 0.961 on the reference field, above the 0.958 the project's own pipeline reached after months, and neither had been run. GW reaches 0.881 on the rank-8 field where GRAMPA reaches 0.076 -- which retires the morning's rank-ladder conclusion, since that ladder was run entirely with GRAMPA and GRAMPA degrades on clustered eigenvalues. The hard instance yields to amplification rather than a better solver: descent multiplies a partial answer by about four, so the job is to feed it a start that is 10-20% correct rather than to replace it. Co-Authored-By: Claude <noreply@anthropic.com>