Integrity report for ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World

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

arXiv:2605.15081 · pith:2026:PSZNWOAQQHQPP5IWY632K5EOUY

0Critical

0Advisory

5Detectors 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 06:38:53.296219+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-24 17:23:12.226164+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 16:02:30.257287+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 07:53:10.036086+00:00

external_links completed v1.0.0 · findings 0 · 2026-05-19 05:31:26.692663+00:00

Findings

No public integrity findings for this paper.

Signed record

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