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Integrity report for ZEBRA: Zero-Shot Entropy-Regularized Prompt Learning for Base-to-Novel Generalization in Audio-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:2606.31587 · pith:2026:7E2XWT23NBCY4JT747UUQP6DUK

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Paper page arXiv integrity.json bundle.json

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Signed record

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