Integrity report for Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models

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

arXiv:2605.21573 · pith:2026:JTT7Z4WVWFQYVKNK633T23M2H2

0Critical

0Advisory

5Detectors run

2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 10:02:08.616775+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 09:43:54.510285+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-23 03:23:01.334940+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 21:58:08.137404+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 03:33:37.717139+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/JTT7Z4WV/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.