Integrity report for PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation

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

arXiv:2605.21752 · pith:2026:JP7VIBZCQ6HPHVXCK62BGVB7ZY

0Critical

0Advisory

5Detectors run

2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 20:24:38.747094+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-27 10:14:10.952802+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-27 10:03:13.736821+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 18:53:00.641333+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 03:33:37.489747+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/JP7VIBZC/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.