Integrity report for 3D LULC classification using multispectral LiDAR and deep learning: current and prospective schemes

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

arXiv:2605.22328 · pith:2026:ODEBAMEIGQXGQCKZBNKSXTF3BS

0Critical

0Advisory

7Detectors run

2026-05-28Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-28 07:35:18.653926+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-28 07:03:29.903481+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 12:24:27.440995+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 17:50:39.833139+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-23 13:52:04.880820+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 09:22:58.497882+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 01:33:42.733100+00:00

Findings

No public integrity findings for this paper.

Signed record

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