Integrity report for Learning Label-Efficient Interpretable Medical Image Diagnosis via Semi-supervised Hypergraph Concept Bottleneck Model

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

arXiv:2606.01698 · pith:2026:AYKOSPIHX4EG5TA6T5W5GY4FFR

0Critical

0Advisory

3Detectors 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 11:29:23.555132+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-02 16:56:20.590931+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 02:35:14.331538+00:00

Findings

No public integrity findings for this paper.

Signed record

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