SEAM encodes regional model explanations as a sheaf and uses the coboundary operator to turn overlap disagreements into a channel-resolved obstruction that can localize and test repair hypotheses.
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SEAM: Global consistency beyond local accuracy in scientific machine learning
SEAM encodes regional model explanations as a sheaf and uses the coboundary operator to turn overlap disagreements into a channel-resolved obstruction that can localize and test repair hypotheses.