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Integrity report for Complacent, Not Sycophantic: Reframing Large Language Models and Designing AI Literacy for Complacent Machines

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

arXiv:2605.14544 · pith:2026:NBS4ZCGDPQ4XUAK7ICDB2JKUJA

0Critical
0Advisory
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 07:36:43.231057+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 20:23:21.570699+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 07:01:39.388689+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 05:56:15.618102+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 16:02:06.359891+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/NBS4ZCGD/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.