Integrity report for Defining AI Fatigue in Academic Contexts: Dimensions, Indicators, and a Stage-Based Model Using Grounded Theory

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

arXiv:2605.23123 · pith:2026:MA5Y6S4HIKGCVNQJXMTM4CWLZL

0Critical

0Advisory

6Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-06-05 05:28:33.553886+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-05 04:06:08.051066+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-06-01 04:43:27.124878+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 16:04:53.505387+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 21:51:20.656100+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 14:54:33.374234+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/MA5Y6S4HIKGCVNQJXMTM4CWLZL/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.