Integrity report for Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad

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

arXiv:2605.18694 · pith:2026:EXA7RSNMKXCFSGMK7AKK654RMA

0Critical

0Advisory

5Detectors run

2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-27 00:37:36.284457+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 22:03:04.861953+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 10:00:40.411104+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 00:03:37.861114+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 22:23:06.875156+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/EXA7RSNM/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.