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The concern that Artificial Intelligence (AI) and Machine Learning (ML) are entering a reproducibility crisis has spurred significant research in the past few years. Yet with each paper, it is often unclear what someone means by reproducibility. Our work attempts to clarify the scope of reproducibility as displayed by the community at large. In doing so, we propose to refine the research to eight general topic areas. In this light, we see that each of these areas contains many works that do not advertise themselves as being about reproducibility, in part because they go back decades before the matter came to broader attention.more » « lessFree, publicly-accessible full text available April 11, 2026
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