Integrity report for Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformers

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

arXiv:2605.14893 · pith:2026:LAEOYYRHVT6YLKPDAXGQR2G7FA

0Critical

0Advisory

4Detectors run

2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 06:40:12.515777+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-24 20:53:06.870293+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 15:22:05.581651+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 11:49:50.410798+00:00

Findings

No public integrity findings for this paper.

Signed record

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