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 To accompany OpenPhenom, Recursion is releasing the [**RxRx3-core**](https://arxiv.org/abs/2503.20158) dataset, a challenge dataset in phenomics optimized for the research community. 
 RxRx3-core includes labeled images of 735 genetic knockouts and 1,674 small-molecule perturbations drawn from the [RxRx3 dataset](https://www.rxrx.ai/rxrx3), 
-image embeddings computed with [OpenPhenom](https://huggingface.co/recursionpharma/OpenPhenom), and associations between the included small molecules and genes. 
+image embeddings computed with [OpenPhenom](https://huggingface.co/recursionpharma/OpenPhenom), [MAE-L/8](https://arxiv.org/pdf/2404.10242), [MAE-G/8](https://arxiv.org/pdf/2411.02572), and associations between the included small molecules and genes. 
 The dataset contains 6-channel Cell Painting images and associated embeddings from 222,601 wells but is less than 18Gb, making it incredibly accessible to the research community.
 
 Mapping the mechanisms by which drugs exert their actions is an important challenge in advancing the use of high-dimensional biological data like phenomics.