Integrity report for Physics-Informed Neural Networks with Attention Feature Expansion for Monge-Amp\`ere Equations

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

arXiv:2605.22115 · pith:2026:OBR7R2GUG7XZJEN4WX26TQCENY

7Critical

3Advisory

7Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 10 · 2026-06-05 10:07:04.934066+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-05 07:06:10.212084+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-29 05:38:55.873552+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 14:04:29.142645+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 21:51:31.180519+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-24 09:50:04.231729+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 12:52:54.634807+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/OBR7R2GU/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.