CDCL SAT solvers compute small proofdoors on linearly scaling BMC families but large non-absorbed ones on exponential families, as shown by empirical measurements on a 76k+ instance benchmark where prior parameters fail to discriminate regimes.
The Complexity of Theorem- Proving Procedures
2 Pith papers cite this work. Polarity classification is still indexing.
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A polarity-aware hypergraph GNN framework improves unsat core prediction in SAT by separating polarity-invariant and equivariant literal representations.
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Understanding CDCL Solvers via Scalability Studies and Proofdoors
CDCL SAT solvers compute small proofdoors on linearly scaling BMC families but large non-absorbed ones on exponential families, as shown by empirical measurements on a 76k+ instance benchmark where prior parameters fail to discriminate regimes.
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Unsat Core Prediction through Polarity-Aware Representation Learning over Clause-Literal Hypergraphs
A polarity-aware hypergraph GNN framework improves unsat core prediction in SAT by separating polarity-invariant and equivariant literal representations.