Recurrent Looped Transformer reached 341 stars in under a day for a report that says it has no measured results.

yifanzhang-pro/recurrent-looped-tranformer was created September 12 at 19:02Z and had 341 stars by the following midday. It pairs a causal encoder with a recurrent decoder carrying its final hidden state and layerwise sliding-window attention cache across every prompt and response token, 48 encoder layers and 48 decoder layers with attention and FFN weights shared across stages. The project page says outright it's a specification rather than an empirical report, and that "realized reasoning gains, hardware efficiency, and RL scaling remain to be established." No arXiv version. The stars are for the architecture diagram.