pith. sign in

Integrity report for Comparative Evaluation of Deep Learning Models for Fake Image Detection

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

arXiv:2605.20971 · pith:2026:64N45R2JHZ7AS5GUQPXFSHO2AJ

0Critical
0Advisory
6Detectors run
2026-05-22Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 05:10:50.055832+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 05:01:50.396545+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 04:02:40.854194+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 13:50:45.438737+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 09:52:29.163920+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 01:34:01.557887+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/64N45R2J/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.