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Integrity report for DoCRL: Double Critic Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition

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

arXiv:2308.09811 · pith:2023:O4GUY3TCTDGTKIX65YNFBTGRJM

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Paper page arXiv integrity.json bundle.json

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Signed record

The machine-readable record for this paper lives at /pith/O4GUY3TC/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.