Generalization of Z3-Noodler's stabilization method to transducers enables efficient solving of relational string constraints and outperforms prior solvers by solving more instances orders of magnitude faster.
SMT-LIB release 2025 (non-incremental benchmarks)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Presents a dynamic partitioning parallel SMT framework with core-guided pruning and backbone detection that outperforms sequential Z3 and prior parallel solvers on SMT-COMP 2025 benchmarks across six logics.
citing papers explorer
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String Solving with Stabilization and Transducers (Technical Report)
Generalization of Z3-Noodler's stabilization method to transducers enables efficient solving of relational string constraints and outperforms prior solvers by solving more instances orders of magnitude faster.
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Parallel SMT Solving via Dynamic Partitioning, Core-Guided Pruning, and Online Backbone Detection
Presents a dynamic partitioning parallel SMT framework with core-guided pruning and backbone detection that outperforms sequential Z3 and prior parallel solvers on SMT-COMP 2025 benchmarks across six logics.