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Integrity report for A multi-task spatiotemporal deep neural network for predicting penetration depth and morphology in laser welding

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

arXiv:2606.26260 · pith:2026:XTIFEFFLJHI4LU6WVETVGD5EYV

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Paper page arXiv integrity.json bundle.json

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