pith. sign in

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
5Detectors run
2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-26 19:39:06.299900+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 23:32:39.252586+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-24 09:23:01.936609+00:00
doi_compliance completed v1.0.0 · findings 1 · 2026-05-21 19:39:39.804514+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 18:22:32.712429+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.