Reasoning

Flow Reasoning Models: Turning Flows Into Efficient Recurrent Reasoners
https://arxiv.org/abs/2606.29150

Recurrent Looped Transformer
https://yifanzhang-pro.github.io/recurrent-looped-tranformer/

Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers
https://arxiv.org/abs/2606.18206

Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning
https://arxiv.org/pdf/2605.21488v1

Phi-4-Reasoning-Vision-15B is a compact open-weight multimodal reasoning model
https://huggingface.co/microsoft/Phi-4-reasoning-vision-15B

Steering Large Reasoning Models towards Concise Reasoning via Flow Matching
https://openreview.net/pdf?id=qwcJMdGerK

Think Consistently, Reason Efficiently: Energy-Based Calibration for Implicit Chain-of-Thought
https://arxiv.org/abs/2511.07124

Universal Reasoning Model
https://github.com/zitian-gao/URM

Less is More: Recursive Reasoning with Tiny Networks
https://arxiv.org/abs/2510.04871

NVIDIA Nemotron 3 Nano - How To Run Guide
https://docs.unsloth.ai/models/nemotron-3

Baguettotron is a 321 million parameters generalist Small Reasoning Model
https://huggingface.co/PleIAs/Baguettotron

Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
https://github.com/WeiboAI/VibeThinker

Reasoning with Sampling
https://github.com/aakaran/reasoning-with-sampling

Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models
https://www.arxiv.org/abs/2510.15987#

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
https://arxiv.org/abs/2510.03206

Verifying Chain-of-Thought Reasoning via Its Computational Graph
https://arxiv.org/abs/2510.09312

Encode, Think, Decode: Scaling test-time reasoning with recursive latent thoughts
https://arxiv.org/pdf/2510.07358

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning
https://github.com/HKUDS/LightReasoner

The Markovian Thinker
https://github.com/McGill-NLP/the-markovian-thinker

RLAD: RL through Abstraction Discovery
https://cohenqu.github.io/rlad.github.io/

What is Reasoning Behind LLM
https://rz0718.github.io/articles/2025/07/18/Reasoning-LLM.html

The Geometry of Reasoning: Flowing Logics in Representation Space
https://github.com/MasterZhou1/Reasoning-Flow