less-is-more-recursive-reasoning-tiny-networks

Achieve complex reasoning with minimal parameters using latent recursion in 2-layer networks. A 7M-parameter Tiny Recursive Model (TRM) solves Sudoku (87% accuracy), mazes (85%), and ARC-AGI with 0.01% the parameters of large LLMs via iterative latent refinement through 6+ recursive steps without fixed-point convergence requirements.

Independent GitHub snapshot · Automated classification · Original documentation governs