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On certifying the UNSAT result of dynamic symmetry-handling-based SAT solvers

机译:关于认证动态对称处理的SAT求解器的unsat结果

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SAT solvers are nowadays used in many applications where the UNSAT result has a special meaning that is at time critical. SAT instances sometimes exhibit symmetries which can be exploited to produce short proofs that would have been exponential for resolution alone. However, current unsatisfiability proof formats do not support symmetrical learning on which dynamic symmetry handling is based. We present in this paper a new proof format called DSRUP (Delete Symmetry Reverse Unit Propagation) which is an extension of DRUP (Delete Reverse Unit Propagation) and that is devised to certify UNSAT claims of SAT solvers implementing symmetrical learning. We first show that the problem of verifying symmetries of a CNF formula is Turing NP-hard. This led us to the definition of a new type of symmetry called RUP-symmetry, a class of symmetries more general than syntactic symmetries that can be efficiently checked. The DSRUP proof format is formally described and a verification algorithm is provided to validate DSRUP certificates. Finally, we provide experimental results obtained with the state-of-the-art dynamic symmetry-handling-based SAT solvers on unsatisfiable symmetric benchmarks drawn from SAT competitions, using an implementation of the DSRUP checking algorithm.
机译:如今,SAT求解器在许多应用中使用了unsat结果的特殊含义,这是一个处于关键的特殊含义。 SAT实例有时会展示可以利用的对称性,以产生单独分辨率的令人指数的短缺。但是,当前不可起点的证明格式不支持对称学习,动态对称处理是基于的。我们本文介绍了一种新的证明格式,称为DSRUP(删除对称反向单元传播),其是驱动(删除反向单元传播)的扩展,并且设计为认证实施对称学习的SAT求解器的unsAT索赔。首先,我们首先表明验证CNF公式的对称性的问题是简单的。这导致我们对一个名为RUP-Symmetry的新类型对称性的定义,比可以有效地检查的句法对称更通用的对称性。正式描述了DSRUP证明格式,提供了验证算法以验证DSRUP证书。最后,我们提供了使用基于最先进的动态对称处理的SAT求解的实验结果,在SAT竞争中从SAT竞争中汲取的不匹配对称基准,使用DSRUP检查算法的实现。

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