Integrity report for Operator Learning for Reconstructing Flow Fields from Sparse Measurements: a Language Model Approach

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

arXiv:2605.23712 · pith:2026:NOKBQG57SKRIVDYNKBI43ZW332

0Critical

0Advisory

8Detectors run

2026-05-30Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-30 02:47:22.485107+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-30 02:33:59.483474+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 12:04:49.201792+00:00

external_links completed v1.0.0 · findings 0 · 2026-05-25 23:36:02.480341+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-25 17:50:57.508512+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 07:50:49.985001+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 05:23:48.606146+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-25 02:34:54.733100+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/NOKBQG57/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.