Integrity report for Neural Flow Operators can Approximate any Operator: Abstract Frameworks and Universal Approcimations

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

arXiv:2605.22557 · pith:2026:TILX2476FQFZGGXYICJDXHFUBL

0Critical

0Advisory

7Detectors run

2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 07:38:32.328093+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 07:32:40.569977+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 01:23:38.618616+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 05:51:16.464168+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-22 21:50:21.525557+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 05:23:24.162112+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 01:33:41.222669+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/TILX2476FQFZGGXYICJDXHFUBL/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.