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Integrity report for GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks

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

arXiv:2606.01560 · pith:2026:ZPYGEMQ4E4DLO7FG3IY5F5ZV5W

0Critical
0Advisory
3Detectors run
2026-06-03Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-03 04:48:12.795750+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-02 18:56:24.641997+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 04:35:16.023943+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/ZPYGEMQ4/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.