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The Symbol of the Surrogate: Measuring Numerical Provenance in Neural PDE Solvers
Neural PDE surrogates are trained on numerical solver outputs that contain both physical evolution and solver-specific discretization errors. Because surrogates are also evaluated against held-out trajectories from the same solver, standard benchmarks cannot distinguish fidelity to the exact evoluti
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