There Is No Free Loop: When Does Looping a Trained Model Pay for Its Inference Compute?

arXiv:2610.42030v1 Announce Type: cross Abstract: Looping re-applies a block of layers so that each token passes through the block more than once. Adding a loop to a trained model is attractive because it leaves the parameter count, and hence the disk size, th