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Integrity report for Geometry-Aware Distillation for Prompt Tuning Biomedical Vision-Language Models

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

arXiv:2606.04922 · pith:2026:D3G5BJ5L5FBMJ2YEH32RCRJX5A

0Critical
0Advisory
5Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 03:29:14.001887+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-06-04 17:50:32.800688+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-04 07:51:06.575756+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-04 05:27:18.881218+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-04 01:35:37.348008+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/D3G5BJ5L/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.