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Integrity report for Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty

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

arXiv:1902.11110 · pith:2019:JPDDG6NQYQ3H2IDEOP5GCAE6HP

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