Integrity report for ST-ColoNet: Spatio-Temporal Colon Segment Recognition via Hybrid Attention and Edge-Guided Feature Learning

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

arXiv:2605.28119 · pith:2026:HHVAXSNIENM7BBJT24GU5RF6DJ

0Critical

0Advisory

4Detectors run

2026-05-31Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-31 04:46:36.634346+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-28 17:50:27.462838+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-28 12:54:01.659694+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-28 01:34:18.961912+00:00

Findings

No public integrity findings for this paper.

Signed record

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