Integrity report for How to Instruct Your Robot: Dense Language Annotations Power Robot Policy Learning

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

arXiv:2605.17077 · pith:2026:EIZWMWEUMZCMUBZLTG67IBBKQQ

0Critical

0Advisory

5Detectors run

2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 18:23:15.167522+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 16:00:35.576010+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 15:32:19.191775+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 23:02:37.430294+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 22:33:23.810245+00:00

Findings

No public integrity findings for this paper.

Signed record

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