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Integrity report for DG-CoLearn: An Efficient Collaborative Learning Framework for Dynamic Graphs

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

arXiv:2605.31427 · pith:2026:7KOE4W4LPADG5ZIFGD7NWBQHNU

0Critical
0Advisory
6Detectors run
2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 14:29:02.296118+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-06-01 17:50:16.392126+00:00
external_links completed v1.0.0 · findings 0 · 2026-06-01 11:32:16.761570+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-01 07:50:48.612662+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-01 04:55:44.458996+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-01 02:35:04.631050+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/7KOE4W4L/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.