JEPA-CoT is an experimental chained architecture combining JEPA-style latent prediction with chain-of-thought-inspired multi-stage computation. This repository is licensed under the Apache License 2.0. The complete retrained Scale-1 checkpoint set contains three independent seeds. K=8 · observation dimension=512 · latent dimension=128 · T=24 · batch=512 · epochs=40. Previously verified seed-0 checkpoint: Each checkpoint contains the model identifier, seed, configuration, complete PyTorch state dict, and evaluation metrics.
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DKNTZMN
DKNTZMN
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