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20072026
most citedSolving QBF with Counterexample Guided Refinement

150 citations · 619 across the 52 of their papers we have counts for

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cs.LO2026★ 150 cited

Solving QBF with Counterexample Guided Refinement

Mikoláš Janota, William Klieber, Joao Marques-Silva +1

We propose two novel approaches for using Counterexample-Guided Abstraction Refinement (CEGAR) in Quantified Boolean Formula (QBF) solvers. The first approach develops a recursive…

cs.LO2026★ 60 cited

Solving QBF by Clause Selection

Mikoláš Janota, Joao Marques-Silva

Algorithms based on the enumeration of implicit hitting sets find a growing number of applications, which include maximum satisfiability and model based diagnosis, among others. Th…

cs.LO2017★ 3 cited

Model Based Diagnosis of Multiple Observations with Implicit Hitting Sets

Alexey Ignatiev, Antonio Morgado, Joao Marques-Silva

Model based diagnosis finds a growing range of practical applications, and significant performance-wise improvements have been achieved in recent years. Some of these improvements…

cs.LO2017

Horn Maximum Satisfiability: Reductions, Algorithms & Applications

Joao Marques-Silva, Alexey Ignatiev, Antonio Morgado

Recent years have witness remarkable performance improvements in maximum satisfiability (MaxSAT) solvers. In practice, MaxSAT algorithms often target the most generic MaxSAT formul…

cs.LO2017

On Tackling the Limits of Resolution in SAT Solving

Alexey Ignatiev, Antonio Morgado, Joao Marques-Silva

The practical success of Boolean Satisfiability (SAT) solvers stems from the CDCL (Conflict-Driven Clause Learning) approach to SAT solving. However, from a propositional proof com…

cs.LO2016★ 42 cited

Efficient Certified Resolution Proof Checking

Luís Cruz-Filipe, Joao Marques-Silva, Peter Schneider-Kamp

We present a novel propositional proof tracing format that eliminates complex processing, thus enabling efficient (formal) proof checking. The benefits of this format are demonstra…