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Integrity report for A Machine Learning-Based Framework for Discovering Huntington's Disease Stages: Integrating Graph Representation Learning and clustering to Uncover Progression Dynamics in Longitudinal Enroll-HD Dataset

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

arXiv:2606.06196 · pith:2026:2STEPYUPTQWQYYEF7ME5GQFVDQ

0Critical
0Advisory
4Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-05 07:51:15.095376+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-05 05:57:41.488245+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 01:49:13.408781+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-05 01:35:49.563142+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2STEPYUP/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.