Abstract: Given a formula F, the problem of model counting, also known as #SAT, is to compute the number of satisfying assignments of F. While model counting has emerged as a crucial primitive in diverse domains from quantitative information flow analysis to neural network verification, scalability remains a fundamental challenge despite advances in both exact and approximate counting techniques.
External IDs:dblp:conf/cav/SoosM25
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