Neural constraint reasoning should prioritize symbolic integration over pure learning to ensure certified correctness under distribution shifts.
Read the original at arxiv.org→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...
Original headline: "Position: Certified Correctness in Neural Constraint Reasoning Requires Symbolic Integration"
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- Aug 18, 04:00 UTC arXiv cs.AI lead source Position: Certified Correctness in Neural Constraint Reasoning Requires Symbolic Integration