Distillation-Outerlinks

🌐 Project Page | 💻 Code | 📄 Paper

We introduce RecursiveMAS, a multi-agent framework that scales agent collaboration through latent-space recursion. RecursiveMAS treats a multi-agent system as a unified recursive computation, where heterogeneous agents iteratively exchange, refine, and evolve their latent states across recursion rounds. In the Distillation-Style setting, the Expert Agent provides guidance to the Learner Agent, while Outer RecursiveLink modules transfer latent states between the two agents for collaborative refinement.

Model Details

Item	Description
Model	Distillation-Outerlinks
Collaboration Style	Distillation-Style
Component Role	Outer RecursiveLink Modules
Expert-Learner-Outerlink.pt	Expert Agent → Learner Agent
Learner-Expert-Outerlink.pt	Learner Agent → Expert Agent

⚠️ Note: This checkpoint contains Outer RecursiveLink modules in RecursiveMAS, rather than a standalone model intended for plain-text generation.
For detailed usage instructions, please refer to our GitHub repository.

Model Collections for RecursiveMAS

Style	Model Collection
Sequential-Style	🤗 HuggingFace
Mixture-Style	🤗 HuggingFace
Distillation-Style	🤗 HuggingFace
Deliberation-Style	🤗 HuggingFace

Experiment Results

Citation

@misc{recursivemas,
      title={Recursive Multi-Agent Systems}, 
      author={Xiyuan Yang and Jiaru Zou and Rui Pan and Ruizhong Qiu and Pan Lu and Shizhe Diao and Jindong Jiang and Hanghang Tong and Tong Zhang and Markus J. Buehler and Jingrui He and James Zou},
      year={2026},
      eprint={2604.25917},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2604.25917}, 
}