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Integrity report for A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media

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

arXiv:2105.09467 · pith:2021:XF6NUQDEE3Q36YW3SJK3WW44M6

0Critical
0Advisory
0Detectors run
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/XF6NUQDE/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.