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Author

Martin Blicha

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Preprint Aug 2026

Termination analysis with interpolation-based transition invariant generation

Termination and nontermination of infinite-state systems are complementary problems that, despite their close connection, are typically addressed by separate techniques. The core idea of this paper is to connect termination and nontermination analysis, enabling the two to share intermediate results and guide one another. We present a new termination analysis approach based on the generation of well-founded transition invariants. It leverages Craig interpolation for transition invariant generation, capturing the structural reasons for termination. The proposed technique extends safety-based nontermination analysis, enabling it to prove both termination and nontermination within a unified framework. We implemented our approach in the GOLEM verification framework and evaluated it on benchmarks from the Termination Competition (TermComp). Empirical results demonstrate that combining termination and nontermination is beneficial and yields performance comparable to state-of-the-art tools.

Konstantin Britikov, Martin Blicha, Grigory Fedyukovich et al. · 0 citations
2026

Using Craig Interpolation for Explanation of Neural Networks (Abstract)

This work introduces space explanations, a logic-based notion of explanation that represents sufficient conditions for a neural network to predict a given class over a (potentially large and geometrically complex) subset of the feature space and demonstrates that the interpolation-based explanations are more meaningful than those computed by state-of-the-art techniques.

Faezeh Labbaf, Tomáš Kolárik, Martin Blicha et al. · 0 citations

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