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Integrity report for Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)

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

arXiv:2302.00237 · pith:2023:YOICH5SBXUNSJBCC6HC72D4YKU

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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/YOICH5SB/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.