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Toward a Tractability Frontier for Exact Relevance Certification

arXiv:2604.073499.0
Predicted impact top 78% in CC · last 90 daysOriginality Highly original
AI Analysis

This establishes fundamental limits for researchers working on exact certification in structured decision problems, showing the problem is more complex than previously assumed.

The paper tackles the problem of exactly characterizing which coordinate-structured decision problems admit efficient exact relevance certification, proving a meta-impossibility theorem that no correct tractability classifier on closure-closed domains can yield an exact characterization over four obstruction families.

Exact relevance certification asks which coordinates are necessary to determine the optimal action in a coordinate-structured decision problem. The tractable families treated here admit a finite primitive basis, but optimizer-quotient realizability is maximal, so quotient shape alone cannot characterize the frontier. We prove a meta-impossibility theorem for efficiently checkable structural predicates invariant under the theorem-forced closure laws of exact certification. Structural convergence with zero-distortion summaries, quotient entropy bounds, and support-counting arguments explains why those closure laws are canonical. We establish the theorem by constructing same-orbit disagreements for four obstruction families, namely dominant-pair concentration, margin masking, ghost-action concentration, and additive/statewise offset concentration, using action-independent, pair-targeted affine witnesses. Consequently no correct tractability classifier on a closure-closed domain yields an exact characterization over these families. Here closure-orbit agreement is forced by correctness rather than assumed as an invariance axiom. The result therefore applies to correct classifiers on closure-closed domains, not only to classifiers presented through a designated admissibility package.

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