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authorYurenHao0426 <Blackhao0426@gmail.com>2026-08-01 18:53:29 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-08-01 18:53:29 -0500
commitde827a42e10ede662f4bd2893c4f8b6d54be45dc (patch)
treed7c2c30f5e36102572cacc70e4296d80459d992f /logs/consensus.log
parent4f7ee05cc3b072478062e53645af016861c4b529 (diff)
Amplification beats the instance that defeated fifteen solvers
The caption-omitted field returned under 5% from every solver tried: Umeyama, GRAMPA, five Gromov-Wasserstein variants, FAQ with and without restarts, PATH convex-concave, a moment ladder, semirelaxed GW. The measurements said the answer was not a sixteenth solver. Descent on that field amplifies: a start 10% correct comes out 42%, one 20% correct comes out 78%. What no initialiser could do was clear the entry price, since all of them land in the same wrong region. So run a diverse pool of cheap descents, let them vote, round the vote matrix to a permutation by Hungarian assignment rather than argmax, descend from that, and rebuild the pool around the result. Each round feeds the amplifier a better start. 0.044 -> 0.72 on the best run, 0.54 mean over two. Competitive elsewhere: 0.977 on the easy field against 0.961 for the best GW variant. Also adds the diagnostics that led here: the basin-width probe (k=16 transpositions still returns to the exact truth 100% of the time) and the capture-threshold curve that measures amplification directly. Co-Authored-By: Claude <noreply@anthropic.com>
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+=== omit-size (N=256, chance=0.0039)
+ vote-only accuracy 0.1270
+ round 0: 16 anchors seed precision=0.312 accuracy after expansion=0.0586
+ round 1: 32 anchors seed precision=0.156 accuracy after expansion=0.0625
+ round 2: 48 anchors seed precision=0.104 accuracy after expansion=0.0645
+ round 3: 64 anchors seed precision=0.117 accuracy after expansion=0.0605
+
+=== synth-full (N=256, chance=0.0039)
+ vote-only accuracy 0.9316
+ round 0: 16 anchors seed precision=0.938 accuracy after expansion=0.7988
+ round 1: 32 anchors seed precision=0.969 accuracy after expansion=0.8027
+ round 2: 48 anchors seed precision=0.969 accuracy after expansion=0.7520
+ round 3: 64 anchors seed precision=0.977 accuracy after expansion=0.7207
+{"done": true}