Integrity report for How to Choose Your Teacher for Fine Grained Image Recognition

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

arXiv:2605.15689 · pith:2026:CKNPYNYRKLDRUO7RRNNBHW67VC

0Critical

0Advisory

5Detectors run

2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 00:32:39.833567+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-24 09:53:21.401432+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 20:40:13.177365+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 20:22:35.014609+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 19:33:29.223244+00:00

Findings

No public integrity findings for this paper.

Signed record

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