Learning Field Reconstruction from Incomplete Data by Globally Correcting Local Estimates.

arXiv:2610.05375v2 Announce Type: replace Abstract: Reconstructing physical fields from training samples that are always incomplete requires learning spatial structure from fragmented observations. Existing context--query work establishes how held-out observat