Integrity report for Physics-informed convolutional neural networks for fluid flow through porous media

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

arXiv:2605.20250 · pith:2026:BR2E46SGECXQ7GUQNK5QNB3CBA

1Critical

0Advisory

5Detectors run

2026-05-24Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 10:03:22.563102+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 10:02:30.932124+00:00

doi_compliance completed v1.0.0 · findings 1 · 2026-05-24 09:12:06.324650+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 03:53:26.049715+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 00:33:41.507959+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/BR2E46SG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.