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Integrity report for Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning

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

arXiv:2605.26292 · pith:2026:RMX5CFCLNSI4EPLVH4ZDGQT7HK

0Critical
0Advisory
4Detectors run
2026-06-03Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-03 22:35:36.456624+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-01 17:07:25.671199+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-27 19:23:45.826087+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-27 03:34:12.299911+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/RMX5CFCL/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.