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Integrity report for Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities

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

arXiv:2605.27388 · pith:2026:E37QDVX6ZOKOFOBLGQ6C23DUWJ

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Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/E37QDVX6/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.