Integrity report for RELO: Reinforcement Learning to Localize for Visual Object Tracking

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

arXiv:2605.07379 · pith:2026:LHFLFPOVLOCCYTTPKQLAKQT2U2

0Critical

0Advisory

4Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 11:02:03.231516+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 05:45:50.716921+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 16:31:19.350282+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 11:52:52.117022+00:00

Findings

No public integrity findings for this paper.

Signed record

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