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Integrity report for Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models

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

arXiv:2509.22739 · pith:2025:BIYCHP267G4RWDTSKVK4NSZKFU

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Paper page arXiv integrity.json bundle.json

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Signed record

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