Integrity report for AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling

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

arXiv:2605.29488 · pith:2026:D2RJV7NGO6L23H2DYGIAMJ6UK6

0Critical

0Advisory

5Detectors run

2026-06-01Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-01 04:27:06.503524+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-31 21:50:47.453012+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-31 21:50:15.478063+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-29 15:24:48.357600+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-29 01:34:28.919710+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/D2RJV7NG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.