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Integrity report for Data-Efficient Neural Operator Training via Physics-Based Active Learning

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

arXiv:2605.21348 · pith:2026:LE3GZBZDN6UVRR6GQE6CAMC4CZ

0Critical
6Advisory
8Detectors run
2026-05-28Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-28 08:03:30.958217+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-28 07:46:11.670124+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-28 03:37:11.761085+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 09:44:06.400939+00:00
external_links completed v1.0.0 · findings 3 · 2026-05-21 23:34:17.117855+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-21 13:51:02.041502+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 05:51:12.932241+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 04:22:48.468295+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/LE3GZBZD/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.