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arXiv:2604.07907cs.AI

Capture-Quiet Decomposition: A Verification Theorem for Chess Endgame Tablebases

Alexander Pavlov

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Abstract

We present the Capture-Quiet Decomposition (CQD), a structural theorem for verifying Win-Draw-Loss (WDL) labelings of chess endgame tablebases. The theorem decomposes every legal position into exactly one of three categories -- terminal, capture, or quiet -- and shows that a WDL labeling is correct if and only if: (1) terminal positions are labeled correctly, (2) capture positions are consistent with verified sub-models of smaller piece count, and (3) quiet positions satisfy retrograde consistency within the same endgame. The key insight is that capture positions anchor the labeling to externally verified sub-models, breaking the circularity that allows trivial fixpoints (such as the all-draw labeling) to satisfy self-consistency alone. We validate CQD exhaustively on all 35 three- and four-piece endgames (42 million positions), all 110 five-piece endgames, and all 372 six-piece endgames -- 517 endgames in total -- with the decomposed verifier producing identical violation counts to a full retrograde baseline in every case.

arXiv comments
9 pages, 3 tables. Validated on 517 endgames covering 6.5 billion positions
Journal reference
DOI
Subjects
cs.AIArtificial Intelligence cs.LOLogic in Computer Science

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