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authorYurenHao0426 <Blackhao0426@gmail.com>2026-08-01 17:59:32 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-08-01 17:59:32 -0500
commit4f7ee05cc3b072478062e53645af016861c4b529 (patch)
treee7dc4e428f3dbe199b40a23be49019846430128e /logs
parentf29c41e78da10d3c40afdd2deeb43c4d73f5eb43 (diff)
The failure is the optimiser, not the information: a 257x faster descent and a benchmark
The gate settles which failure mode each field is in, and refutes the symmetry hypothesis I proposed. On the caption-omitted field the truth is a STRICT local minimum -- descent started at the truth does not move at all -- the anchor bound says the information is 99.7% intact, and our solver stops 0.44 above it at 4.9% accuracy. That is a pure optimiser failure. Natural data is the opposite: descent from the truth falls a further 0.167, so the truth is not even locally optimal, which is the information-deficit signature the 0.291 bound predicted. Steepest descent was brute-forcing all 32,640 candidate permutations through the full energy every step, including a batched cube trace with the triangle term active -- 203 seconds per descent, which is why the gates were hopeless. The pairwise term needs one matrix product for the whole table: swapping p,q changes the alignment sum by 2(C_pq + C_qp - C_pp - C_qq + 2 A_pq B_pq) with C = A @ B. Verified against brute force to 1e-9 before use, and the fast descent reaches the same optimum. 203s -> 0.79s. Adds a matching benchmark with known-reachable answers and the solver families never tried on these fields: Gromov-Wasserstein, entropic GW with an annealed regulariser, BAPG. Co-Authored-By: Claude <noreply@anthropic.com>
Diffstat (limited to 'logs')
-rw-r--r--logs/battery.log7
-rw-r--r--logs/degeneracy.log11
2 files changed, 18 insertions, 0 deletions
diff --git a/logs/battery.log b/logs/battery.log
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+++ b/logs/battery.log
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+
+=== omit-size-BOUND0.997 (N=256, chance=0.0039)
+ grampa (current) raw=0.0169 refined=0.0443 (0.0s)
+ umeyama raw=0.0052 refined=0.0143 (0.0s)
+ gromov-wasserstein raw=0.0182 refined=0.0221 (0.1s)
+/home/yurenh2/.local/lib/python3.13/site-packages/ot/bregman/_sinkhorn.py:666: UserWarning: Sinkhorn did not converge. You might want to increase the number of iterations `numItermax` or the regularization parameter `reg`.
+ warnings.warn(
diff --git a/logs/degeneracy.log b/logs/degeneracy.log
new file mode 100644
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+++ b/logs/degeneracy.log
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+omit-size gap(found-truth)=+0.4400 truth-descends=+0.0000 acc=0.049
+ -> truth is DEEPER than what is found -- optimiser failure
+noise035 gap(found-truth)=+0.0476 truth-descends=+0.0020 acc=0.887
+ -> truth is DEEPER than what is found -- optimiser failure
+rank8 gap(found-truth)=+0.3650 truth-descends=+0.0062 acc=0.065
+ -> truth is DEEPER than what is found -- optimiser failure
+synth-full gap(found-truth)=+0.0770 truth-descends=+0.0005 acc=0.883
+ -> truth is DEEPER than what is found -- optimiser failure
+natural-best gap(found-truth)=+0.0853 truth-descends=+0.1674 acc=0.027
+ -> truth is DEEPER than what is found -- optimiser failure
+{"done": true}