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Integrity report for Analyzing Multi-Task Learning for Abstractive Text Summarization

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

arXiv:2210.14606 · pith:2022:GOQMOD7ES4426GL5QRJ7AOZQ4U

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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/GOQMOD7E/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.