arXiv AI By Shufeng Kong, Xiaochuan Zhang, Caihua Liu

Position: Certified Correctness in Neural Constraint Reasoning Requires Symbolic Integration

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arXiv:2608. 14569v1 Announce Type: new Abstract: Neural solvers for constraint satisfaction problems have achieved remarkable in-distribution accuracy, yet they suffer from a fundamental limitation persistent constraint violations occur under distribution shifts even when the model reports high confidence.

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