Theory and Applications of Satisfiability Testing - SAT 2019

Computational Sustainability: Computing for a Better World.- Machine Learning in Automated and Interactive Theorem Proving.- Circular (Yet Sound) Proofs.- Short Proofs in QBF Expansion.- Proof Complexity of QBF Symmetry Recomputation.- Satisfiability Threshold for Power Law Random 2-SAT in Configuration Model.- DRAT Proofs, Propagation Redundancy, and Extended Resolution.- Knowledge Compilation Languages as Proof Systems.- The Equivalences of Refutational QRAT.- A SAT-based System for Consistent Query Answering.- Incremental Inprocessing in SAT Solving.- Local Search for Fast Matrix Multiplication.- Speeding Up Assumption-Based SAT.- Simplifying CDCL Clause Database Reduction.- QRAT Polynomially Simulates nforall-Exp+Res.- QRATPre+: Effective QBF Preprocessing via Strong Redundancy Properties.- On Computing the Union of MUSes.- Revisiting Graph Width Measures for CNF-Encodings.- DRMaxSAT with MaxHS: First Contact.- Backing Backtracking.- Assessing Heuristic Machine Learning Explanations with Model Counting.- Syntax-Guided Rewrite Rule Enumeration for SMT Solvers.- DRAT-based Bit-Vector Proofs in CVC4.- Combining Resolution-Path Dependencies with Dependency Learning.- Proof Complexity of Fragments of Long-Distance Q-Resolution.- Guiding High-Performance SAT Solvers with Unsat-Core Predictions.- Verifying Binarized Neural Networks by Angluin-Style Learning.- CrystalBall: Gazing in the Black Box of SAT Solving.- Clausal Abstraction for DQBF.- On Super Strong ETH.