Author

Petr Anokhin

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Preprint Jul 2026

Search, Fail, Recover: A Training Framework for Correction-Aware Reasoning

Pyligent, a training and inference framework inspired by the Diligent Learner formulation that represents reasoning as validated search over partial solution chains, is introduced and results suggest that explicit failed-branch supervision can teach useful recovery behavior beyond imitation of polished solution chains.

Dmitry N. Beresnev, Vladimir Makharev, Roman Khalikov et al. · 1 citation

Preprint Aug 2026

EvoMem: Memory-Augmented Evolution for Code Optimization

EvoMem is introduced, a persistent memory architecture for LLM-based evolutionary program search that captures and reuses candidate mutation knowledge and provides evidence that persistent memory can reduce some redundant exploration and improve the reuse and adaptation of successful strategies in LLM-driven evolutiona...

Viktor Volkov, Valentin Khrulkov, Andrey V. Galichin et al. · 0 citations