Very cool to see the effectiveness of recurrence on ARC. For those interested in recurrence, here are other works that leverage a similar approach for other typ

Very cool to see the effectiveness of recurrence on ARC. For those interested in recurrence, here are other works that leverage a similar approach for other types of problems: Language modeling: Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach https://arxiv.org/pdf/2502.05171 https://arxiv.org/pdf/2502.05171 Puzzle solving: A Simple Loss Function for Convergent Algorithm Synthesis using RNNs https://openreview.net/pdf?id=WaAJ883AqiY https://openreview.net/pdf?id=WaAJ883AqiY End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking https://arxiv.org/abs/2202.05826 https://arxiv.org/abs/2202.05826 Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks https://proceedings.neurips.cc/paper/2021/file/3501672ebc68a5524629080e3ef60aef-Paper.pdf https://proceedings.neurips.cc/paper/2021/file/3501672ebc68a... General: Think Again Networks and the Delta Loss https://arxiv.org/pdf/1904.11816 https://arxiv.org/pdf/1904.11816 Universal Transformers https://arxiv.org/abs/1807.03819 https://arxiv.org/abs/1807.03819 Adaptive Computation Time for Recurrent Neural Networks https://arxiv.org/pdf/1603.08983 https://arxiv.org/pdf/1603.08983