Integrity report for GAMR: Geometric-Aware Manifold Regularization with Virtual Outlier Synthesis for Learning with Noisy Labels

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

arXiv:2605.20727 · pith:2026:GQKENCUW7PXGI6A2SJG24BBLSC

0Critical

0Advisory

6Detectors run

2026-05-22Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 05:31:51.566141+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 05:31:31.133830+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 04:42:41.832587+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 19:50:26.285210+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 13:52:57.068799+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 02:33:33.542749+00:00

Findings

No public integrity findings for this paper.

Signed record

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