Integrity report for Med-DisSeg: Dispersion-Driven Representation Learning for Fine-Grained Medical Image Segmentation

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

arXiv:2605.14579 · pith:2026:RZKPQ6Q3VBCODOTRWSBHO6QHUF

0Critical

2Advisory

5Detectors run

2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-26 07:35:44.741183+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 19:53:36.869809+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 14:01:58.705200+00:00

doi_compliance completed v1.0.0 · findings 2 · 2026-05-21 05:56:04.713156+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 16:02:06.328134+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/RZKPQ6Q3/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.