Integrity report for Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2302.03286

Paper page arXiv integrity.json

Detector runs

Findings

Signed record

The machine-readable record for this paper lives at /pith/2302.03286/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.