Unverified50% confidenceBenchmarkExact time
Among the 500 divergence positions, 19 had immediately executable lethal combinations; Jev selected lethal 16 times, the neural network selected it 0 times, and in the remaining 3 cases neither chose it.
1
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50%
Confidence
Long-term
Relevance
9/23/2026
First Seen
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Related Claims
UnverifiedIn a counterfactual analysis of 500 divergence positions (10,000 MCTS iterations each, rollout depth 20, repeated three times), among the 105 positions where Jev went face while the neural network developed the board, the deep MCTS preferred Jev in 92 cases, preferred the neural network in 3, and produced 10 ties.66% similarUnverifiedA hand-crafted library of 22 calculators achieved perfect accuracy on the 440 cases it supported, but abstained on the remaining cases, yielding an overall coverage rate of only 40.0%.60% similarUnverifiedThree independent Subagents performed adversarial re-verification of the retrospective diary, checking 120 verifiable claims (including 26 commit hashes and more than 40 cited line numbers), resulting in zero fabrications and nine corrections (all involving line number drift and unit conversion issues).58% similarUnverifiedOf the 19 registered attack families, only 3 have actually been run against real models57% similarUnverifiedThe paper proposes an exhaustive word ablation method that removes each of approximately 18,500 candidate words one by one to directly measure its impact on classification results.57% similar
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