Integrity report for Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation

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

arXiv:2605.20801 · pith:2026:AOAWEDAEWX6EY6TZHHBBZ3VF2D

0Critical

0Advisory

6Detectors run

2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 05:04:21.210106+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 05:02:06.605601+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-23 04:23:01.912263+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 17:50:27.582750+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 12:25:04.994365+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 01:34:01.779477+00:00

Findings

No public integrity findings for this paper.

Signed record

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