Abstract
Many state-of-the-art Satisfiability Modulo Theories (SMT) solvers for the theory of fixed-size bit-vectors employ an approach called bit-blasting, where a given formula is translated into a Boolean satisfiability (SAT) problem and delegated to a SAT solver. Consequently, producing bit-vector proofs in an SMT solver requires incorporating SAT proofs into its proof infrastructure. In this paper, we describe three approaches for integrating DRAT proofs generated by an off-the-shelf SAT solver into the proof infrastructure of the SMT solver CVC4 and explore their strengths and weaknesses. We implemented all three approaches using CryptoMiniSat as the SAT back-end for its bit-blasting engine and evaluated performance in terms of proof-production and proof-checking.
Original language | English |
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Title of host publication | Theory and Applications of Satisfiability Testing – SAT 2019 - 22nd International Conference, SAT 2019, Proceedings |
Editors | Mikoláš Janota, Inês Lynce |
Publisher | Springer Verlag |
Pages | 298-305 |
Number of pages | 8 |
ISBN (Print) | 9783030242572 |
DOIs | |
State | Published - 2019 |
Externally published | Yes |
Event | 22nd International Conference on Theory and Applications of Satisfiability Testing, SAT 2019 - Lisbon, Portugal Duration: 9 Jul 2019 → 12 Jul 2019 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11628 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 22nd International Conference on Theory and Applications of Satisfiability Testing, SAT 2019 |
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Country/Territory | Portugal |
City | Lisbon |
Period | 9/07/19 → 12/07/19 |
Bibliographical note
Publisher Copyright:© 2019, Springer Nature Switzerland AG.
Funding
This work was supported in part by DARPA (N66001-18-C-4012 and FA8650-18-2-7861, NSF (1814369), and the Stanford Center for Blockchain Research.
Funders | Funder number |
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Stanford Center for Blockchain Research | |
National Science Foundation | |
Directorate for Computer and Information Science and Engineering | 1814369 |
Defense Advanced Research Projects Agency | FA8650-18-2-7861, N66001-18-C-4012 |
National Sleep Foundation |