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Integrity report for Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration

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

arXiv:2010.02087 · pith:2020:NBL36PGLEPHD3K27ZZWQ4PTK7E

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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/NBL36PGL/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.