pith. sign in

Integrity report for Using Large Language Models in Physics Education

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

arXiv:2605.23660 · pith:2026:XOLQAKSC6S2WC4UAPXEJMBTM47

0Critical
0Advisory
7Detectors run
2026-05-30Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-30 02:56:31.399799+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-30 02:33:59.526389+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 12:24:49.444956+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-25 21:51:27.763175+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 09:50:15.803005+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 06:23:13.953713+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-25 02:35:00.532354+00:00

Findings

No public integrity findings for this paper.

Signed record

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