Integrity report for Feat2Go: Visual Feature-Grounded Value Estimation for Embodied Reinforcement Learning

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

arXiv:2605.30795 · pith:2026:QVV4CYL5PRPHJVZTAWPFZDXJDP

0Critical

0Advisory

4Detectors run

2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 21:49:10.184623+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-01 21:50:49.745432+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-01 14:25:47.439422+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-01 02:35:04.834774+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/QVV4CYL5PRPHJVZTAWPFZDXJDP/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.