AI RESEARCH
BRo-JEPA: Learning Modular Arithmetic in Latent Space
arXiv CS.AI
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ArXi:2606.01372v1 Announce Type: cross Can neural networks patterns? We investigate this using MNIST digits as states and modular arithmetic operations as actions in a JEPA-style latent world model. Standard supervised baselines and JEPA models with additive operation embeddings fit seen operations but fail to extrapolate reliably to unseen ones. To bridge this gap, we