Abstract. This paper describes two algorithms for the compression of propositional resolution proofs. The first algorithm, RecyclePivots-WithIntersection, performs partial regularization, removing an infer-ence η when it is redundant in the sense that its pivot literal already occurs as the pivot of another inference located below in the path from η to the root of the proof. The second algorithm, LowerUnits, delays the resolution of (both input and derived) unit clauses, thus removing (some) inferences having the same pivot but possibly occurring also in different branches of the proof.
When checking answers coming from automatic provers, or when skeptically integrating them into proof...
We review the fundamental resolution-based methods for first-order theorem proving and present them ...
Regularity is a natural restriction on the propositional resolution proof system introduced by Tseit...
Abstract. This paper describes two algorithms for the compression of propositional resolution proofs...
International audienceThis paper describes two algorithms for the compression of propositional resol...
Abstract. This paper describes a generalization of the LowerUnits al-gorithm [9] for the compression...
This paper describes a generalization of the LowerUnits algorithm [7] for the compres-sion of resolu...
This dataset contains propositional resolution proofs generated by the SMT-solver VeriT on problems ...
AbstractWe report initial results on shortening propositional resolution refutation proofs. This has...
Abstract. DPLL-based SAT solvers progress by implicitly applying bi-nary resolution. The resolution ...
Integrating an SMT solver in a certified environment such as an LF-style proof assistant requires th...
Abstract. Verification methods based on SAT, SMT, and Theorem Proving often rely on proofs of unsati...
Having good algorithms to verify tautologies as efficiently as possible is of prime interest in diff...
Unsatisfiability proofs find many applications in verification. Today, many SAT solvers are capable ...
Interpolants are the cornerstone of several approximate verification techniques. Current interpolati...
When checking answers coming from automatic provers, or when skeptically integrating them into proof...
We review the fundamental resolution-based methods for first-order theorem proving and present them ...
Regularity is a natural restriction on the propositional resolution proof system introduced by Tseit...
Abstract. This paper describes two algorithms for the compression of propositional resolution proofs...
International audienceThis paper describes two algorithms for the compression of propositional resol...
Abstract. This paper describes a generalization of the LowerUnits al-gorithm [9] for the compression...
This paper describes a generalization of the LowerUnits algorithm [7] for the compres-sion of resolu...
This dataset contains propositional resolution proofs generated by the SMT-solver VeriT on problems ...
AbstractWe report initial results on shortening propositional resolution refutation proofs. This has...
Abstract. DPLL-based SAT solvers progress by implicitly applying bi-nary resolution. The resolution ...
Integrating an SMT solver in a certified environment such as an LF-style proof assistant requires th...
Abstract. Verification methods based on SAT, SMT, and Theorem Proving often rely on proofs of unsati...
Having good algorithms to verify tautologies as efficiently as possible is of prime interest in diff...
Unsatisfiability proofs find many applications in verification. Today, many SAT solvers are capable ...
Interpolants are the cornerstone of several approximate verification techniques. Current interpolati...
When checking answers coming from automatic provers, or when skeptically integrating them into proof...
We review the fundamental resolution-based methods for first-order theorem proving and present them ...
Regularity is a natural restriction on the propositional resolution proof system introduced by Tseit...