Integrity report for 3D RL-DWA: A Hybrid Reinforcement Learning and Dynamic Window Approach for Goal-Directed Local Navigation in Multi-DoF Robots

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

arXiv:2605.12689 · pith:2026:Z5N2KXTBVW5KY7ZQ2NR4Z33THS

0Critical

0Advisory

4Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 12:01:24.527042+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 08:54:49.086000+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-19 21:01:57.355563+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-19 09:41:29.432439+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/Z5N2KXTB/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.