Certified Symmetry and Dominance Breaking for Combinatorial Optimisation
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Abstract (arXiv)
Symmetry and dominance breaking can be crucial for solving hard combinatorial search and optimisation problems, but the correctness of these techniques sometimes relies on subtle arguments. For this reason, it is desirable to produce efficient, machine-verifiable certificates that solutions have been computed correctly. Building on the cutting planes proof system, we develop a certification method for optimisation problems in which symmetry and dominance breaking are easily expressible. Our experimental evaluation demonstrates that we can efficiently verify fully general symmetry breaking in Boolean satisfiability (SAT) solving, thus providing, for the first time, a unified method to certify a range of advanced SAT techniques that also includes XOR and cardinality reasoning. In addition, we apply our method to maximum clique solving and constraint programming as a proof of concept that the approach applies to a wider range of combinatorial problems.
Key facts. Cited by 13 papers in the map (data through 14 Oct 2026). Builds on 5 of its 69 references that are in the map. First posted on arXiv 23 Mar 2022.
Builds on
5 of 69 references.
References · 5
- 2016Efficient Certified RAT Verificationcited by 13
- 2016Efficient Certified Resolution Proof Checkingcited by 5
- 2016Verifying Integer Programming Resultscited by 5
- 2021A Computational Status Update for Exact Rational Mixed Integer Programmingcited by 3
- 2014Finding Maximum k-Cliques Faster using Lazy Global Dominationcited by 1
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Citing papers per year: 2024: 3; 2025: 5; 2026: 5.
13 papers.
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- 2024Distribution-Specific Auditing For Subgroup Fairnesscited by 4
- 2024Certified MaxSAT Preprocessingcited by 3
- 2025Certifying Pareto-Optimality in Multi-Objective Maximum Satisfiabilitycited by 2
- 2024The Complexity of Symmetry Breaking Beyond Lex-Leadercited by 1
- 2025Efficient and Reliable Hitting-Set Computations for the Implicit Hitting Set Approachcited by 1
- 2025Pseudo-Boolean Proof Logging for Optimal Classical Planningcited by 0
- 2025Efficient Certified Reasoning for Binarized Neural Networkscited by 0
- 2025Faster Certified Symmetry Breaking Using Orders With Auxiliary Variablescited by 0
- 2026Orbitopal Fixing in SATcited by 0
- 2026Streaming LRAT Certificates into Lean Theoremscited by 0
- 2026Towards a Certifying Groundercited by 0
- 2026LeanCSP: A Framework for Certifying Constraint Reformulation and Solving in Leancited by 0
1 more
- 2026The Refutation Gap: Certifying Both Halves of an Optimality Claim16 Sep 2026
- 2026LeanCSP: A Framework for Certifying Constraint Reformulation and Solving in Lean30 Jul 2026
- 2026Towards a Certifying Grounder23 Jul 2026
- 2026Streaming LRAT Certificates into Lean Theorems1 Jul 2026
- 2026Orbitopal Fixing in SAT23 Jan 2026
- 2025Faster Certified Symmetry Breaking Using Orders With Auxiliary Variables20 Nov 2025
- 2025Efficient and Reliable Hitting-Set Computations for the Implicit Hitting Set Approach9 Aug 2025
- 2025Efficient Certified Reasoning for Binarized Neural Networks25 Jun 2025
- 2025Pseudo-Boolean Proof Logging for Optimal Classical Planning25 Apr 2025
- 2025Certifying Pareto-Optimality in Multi-Objective Maximum Satisfiability29 Jan 2025
- 2024The Complexity of Symmetry Breaking Beyond Lex-Leader5 Jul 2024
- 2024Certified MaxSAT Preprocessing26 Apr 2024
1 more
- 2024Distribution-Specific Auditing For Subgroup Fairness27 Jan 2024
- 2024Distribution-Specific Auditing For Subgroup Fairnesscited by 4
- 2024Certified MaxSAT Preprocessingcited by 3
- 2025Certifying Pareto-Optimality in Multi-Objective Maximum Satisfiabilitycited by 2
- 2024The Complexity of Symmetry Breaking Beyond Lex-Leadercited by 1
- 2025Efficient and Reliable Hitting-Set Computations for the Implicit Hitting Set Approachcited by 1
- 2025Pseudo-Boolean Proof Logging for Optimal Classical Planningcited by 0
- 2025Efficient Certified Reasoning for Binarized Neural Networkscited by 0
- 2025Faster Certified Symmetry Breaking Using Orders With Auxiliary Variablescited by 0
- 2026Orbitopal Fixing in SATcited by 0
- 2026Streaming LRAT Certificates into Lean Theoremscited by 0
- 2026Towards a Certifying Groundercited by 0
- 2026LeanCSP: A Framework for Certifying Constraint Reformulation and Solving in Leancited by 0
12 most cited of 13 All 13 (JSON)
- 2026The Refutation Gap: Certifying Both Halves of an Optimality Claim16 Sep 2026
- 2026LeanCSP: A Framework for Certifying Constraint Reformulation and Solving in Lean30 Jul 2026
- 2026Towards a Certifying Grounder23 Jul 2026
- 2026Streaming LRAT Certificates into Lean Theorems1 Jul 2026
- 2026Orbitopal Fixing in SAT23 Jan 2026
- 2025Faster Certified Symmetry Breaking Using Orders With Auxiliary Variables20 Nov 2025
- 2025Efficient and Reliable Hitting-Set Computations for the Implicit Hitting Set Approach9 Aug 2025
- 2025Efficient Certified Reasoning for Binarized Neural Networks25 Jun 2025
- 2025Pseudo-Boolean Proof Logging for Optimal Classical Planning25 Apr 2025
- 2025Certifying Pareto-Optimality in Multi-Objective Maximum Satisfiability29 Jan 2025
- 2024The Complexity of Symmetry Breaking Beyond Lex-Leader5 Jul 2024
- 2024Certified MaxSAT Preprocessing26 Apr 2024
12 newest of 13 All 13 (JSON)