arXiv cs.LGPaper
Thinking with Looped Flows
This tackles a real training problem: how to get models to use test-time compute without vanishing gradients through the recurrence. The approach is clever, but the paper doesn't show scaling results or compare against other test-time scaling methods. It's directionally interesting, not yet proven.