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Integrity report for Implicit Regularization of Mini-Batch Training in Graph Neural Networks

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

arXiv:2605.22480 · pith:2026:PYYVJU2U2XMDWB5NH72MKANLOL

0Critical
0Advisory
7Detectors run
2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 06:44:03.064147+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 07:08:53.764086+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 07:02:40.258506+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 13:50:36.460311+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-23 01:50:57.151385+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 06:53:04.121302+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 01:33:41.941252+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/PYYVJU2U/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.