Integrity report for Can We Trust AI-Inferred User States. A Psychometric Framework for Validating the Reliability of Users States Classification by LLMs in Operational Environments

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

arXiv:2605.15734 · pith:2026:BMJESM6C7IKYADU6SGRARGO6OB

0Critical

1Advisory

4Detectors run

2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 1 · 2026-05-21 19:39:39.804514+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 19:31:45.385812+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 18:22:32.712429+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 19:33:24.069328+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/BMJESM6C/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.