Recursive Reasoning

Overview June 25, 2026

recursive-reasoning reasoning diffusion

Hierarchical Reasoning Model — Wang et al.
Less is More: Recursive Reasoning with Tiny Networks — Jolicoeur-Martineau
Probabilistic Tiny Recursive Model — Sghaier et al.
Generative Recursive Reasoning — Baek et al.
Learned Relay Representations for Forward-Thinking Discrete Diffusion Models — Rozonoyer et al.
Residual Context Diffusion Language Models — Hu et al.
VGB for Masked Diffusion Model: Efficient Test-time Scaling for Reward Satisfaction and Sample Editing — Jeon et al.
Backpropagation through space, time and the brain — Ellenberger et al.

Overview of tiny recursive reasoning models and diffusion extensions that reuse computation across iterative refinement steps, from the NAR LMs Reading Group collection.

Discussion points:

What makes hierarchical and tiny recursive models effective on structured reasoning tasks?
How does probabilistic / generative recursion change the exploration–exploitation trade-off?
Can relay and residual-context mechanisms carry information across diffusion decoding steps?
What connections exist between biological credit assignment and recursive computation?