Integrity report for GA-VLN: Geometry-Aware BEV Representation for Efficient Vision-Language Navigation

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

arXiv:2605.22036 · pith:2026:CFUQQNK3LVTZXEZAP56EF4SMLW

0Critical

0Advisory

7Detectors run

2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 15:04:29.681434+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-27 07:14:34.479664+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-27 07:03:12.981929+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 23:51:04.501803+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-24 13:50:27.661358+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 14:23:25.148579+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 02:33:38.546233+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/CFUQQNK3/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.