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Integrity report for Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next

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

arXiv:2201.05624 · pith:2022:DMGCD6MOD63XGESOFF2R3NNGX5

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Paper page arXiv integrity.json bundle.json

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Signed record

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