Integrity report for 3DThinkVLA: Endowing Vision-Language-Action Models with Latent 3D Priors via 3D-Thinking-Guided Co-training

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

arXiv:2606.04436 · pith:2026:AOO4B2G2V23GQFPTMPZKDJ66NK

0Critical

0Advisory

4Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 04:09:14.777288+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-04 19:51:09.236521+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-04 13:27:25.908309+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-04 02:35:37.543599+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/AOO4B2G2/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.