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arXiv — cs.AI preprintsInternational9 October 2026

An Interpretable Approach to PDE Solution Discovery via Structural Experience Distillation

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arXiv:2610.12003v1 Announce Type: new Abstract: PDE solution discovery aims to identify explicit symbolic expressions for unknown physical fields from observations under known physical constraints. Existing methods, however, collapse data fidelity and physical consistency into a single terminal score used as the sole feedback signal, providing little information about which subexpressions are responsible for a candidate's final performance. This opaque terminal feedback severely limits the interpretability of the search process itself, offering no insight into why a candidate succeeds or fails
— arXiv — cs.AI preprints

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