arxiv
PublishedOctober 19, 2026 at 4:00 AM
Transferability of Learned States in Neural PDE Solvers
Publisher summary· verbatim
arXiv:2610.10972v2 Announce Type: replace Abstract: Assessing useful reuse in neural PDE solvers is challenging: final accuracy can reflect source learning and target-time computation. Our reuse contract separates solution accuracy, learning contribution, and numerical utility through paired state c
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Originally published on arxiv ↗