Author

Pavlo Molchanov

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#machine learning Preprint Jul 2026

Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning

Molt is a PyTorch-native training framework built to keep that cost small: a codebase compact and clean enough for a researcher to hold in their head, and for an AI coding assistant to read and reason about in its entirety, so the algorithm flow can be traced and changed end to end.

Jian Hu, Huiying Li, Hao Zhang et al. · 0 citations

Preprint Jul 2026

RADIO1D: Elastic Representations for Condensed Vision Modeling

RADIO1D is introduced, which compresses images into a compact, variable-length 1D token sequence using multi-teacher knowledge distillation and an autoencoder design, delivering competitive performance on diverse multimodal benchmarks with lower computational overhead and better accuracy.

Greg Heinrich, Michael Ranzinger, Collin McCarthy et al. · 0 citations