Integrity report for IdEst: Assessing Self-Supervised Learning Representations via Intrinsic Dimension

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

arXiv:2606.03338 · pith:2026:DNYY5ZFQNZMEPD7HIZJCPPPQTV

0Critical

0Advisory

4Detectors 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 05:49:16.804382+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-03 17:51:03.772344+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-03 11:56:57.702970+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-03 01:35:24.458563+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/DNYY5ZFQ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.