Amin Sghaier and Ali Parvi introduce Probabilistic Tiny Recursive Model on arXiv that adds weak noise to latent space to escape poor fixed-point basins

Very cool train-free extension to TRM. By injecting noise into the latent space, TRMs can explore a wider set of basins, and the exit head can then identify which trajectories succeeded. Feels like unlocking an entirely new scaling axis. Awesome work! 🔗https://arxiv.org/pdf/2605.19943