Integrity report for MUIAnno: An Expert-Annotated Dataset and Evaluation Benchmark for Mobile UI Understanding

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

arXiv:2605.17656 · pith:2026:A34HPEHV4E6OQIDDS3IANWNV5P

0Critical

0Advisory

6Detectors run

2026-05-24Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 23:01:20.322021+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 22:32:37.684859+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 21:43:35.909378+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-19 22:22:22.243838+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 21:49:44.273096+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 21:33:23.543686+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/A34HPEHV/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.