Integrity report for DocQT: Improving Document Forgery Localization Robustness via Diverse JPEG Quantization Tables

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

arXiv:2605.19688 · pith:2026:FM7ACSGYHKLVETH73UIGSJD2DV

0Critical

0Advisory

6Detectors run

2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-27 18:03:19.667335+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-27 04:36:48.477345+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 09:03:45.816208+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 07:03:30.200948+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 13:49:53.198608+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 09:22:16.960246+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/FM7ACSGY/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.