Integrity report for Generator-Refiner-Examiner: A Tri-Module Data Augmentation Framework for 3D Human Avatar Learning from Monocular Videos

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

arXiv:2605.23555 · pith:2026:3MY4DIFT5FOGBUAKLUA7NBEFLS

0Critical

0Advisory

6Detectors run

2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 05:32:52.924898+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-26 05:21:53.877688+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 04:44:01.905068+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 11:51:39.965799+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 07:53:56.256912+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-25 02:35:11.284262+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/3MY4DIFT/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.