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arXiv · 2501.09379

First Experiments with Neural cvc5

Jelle Piepenbrock·Mikoláš Janota·Jan Jakubův
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Abstract

he cvc5 solver is today one of the strongest systems for solving first order problems with theories but also without them. In this work we equip its enumeration-based instantiation with a neural network that guides the choice of the quantified formulas and their instances. For that we develop a relatively fast graph neural network that repeatedly scores all available instantiation options with respect to the available formulas. The network runs directly on a CPU without the need for any special hardware. We train the neural guidance on a large set of proofs generated by the e-matching instantiation strategy and evaluate its performance on a set of previously unseen problems.

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Jelle Piepenbrock, Mikoláš Janota, Jan Jakubův. 2025-01-16. First Experiments with Neural cvc5. https://doi.org/10.29007/h5dr

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