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Integrity report for BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA Models

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

arXiv:2605.30226 · pith:2026:4N6XB2MYRH5CLOJ4YMP6T4MUPJ

0Critical
0Advisory
6Detectors run
2026-05-31Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

external_links completed v1.0.0 · findings 0 · 2026-05-31 11:31:56.036292+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-31 05:50:41.510469+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-31 02:26:34.139754+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-29 13:50:03.949567+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-29 04:24:16.688822+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-29 02:34:29.045190+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/4N6XB2MY/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.