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Integrity report for Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels

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

arXiv:2010.04438 · pith:2020:NIQ46MKHN4CSKVSA3FPLKM4YVX

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Paper page arXiv integrity.json bundle.json

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Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/NIQ46MKH/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.