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Integrity report for AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification

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

arXiv:2605.30786 · pith:2026:DZNUIE74WQWL45MACQNGSXR3UA

0Critical
0Advisory
4Detectors run
2026-06-02Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-02 06:27:38.329515+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-01 21:50:49.754818+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-01 14:55:45.321149+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-01 02:35:04.849752+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/DZNUIE74/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.