Integrity report for OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data

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

arXiv:2605.15511 · pith:2026:UXKJKG3GJDEY7YBM46U5K7HRIK

0Critical

0Advisory

7Detectors run

2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-26 13:34:51.323688+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 16:02:36.270344+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 16:18:30.462249+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 14:22:27.913060+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-19 14:51:55.063055+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-19 13:49:41.848906+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 13:49:41.387835+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/UXKJKG3G/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.