Sailing Lab researchers release SR²AM, a prototype applying language-based world models to self-regulated planning and reasoning, with two arXiv papers, open-source code, and 8B and 30B Hugging Face models

This is a prototype using language-based world models. Stay tuned for our next steps on multimodal and physical world models. The concept of a configurator, which decides when and how deeply to engage a reasoning process, is not specific to planning, but extensible to learning and adaptation going forward. 📄 SR²AM: https://arxiv.org/abs/2605.22138 📄 SiRA: https://arxiv.org/abs/2507.23773 🌐 Project: https://sailing-lab.github.io/sr2am-self-regulated-planning 💻 Code: https://github.com/sailing-lab/sr2am 🤗 SR²AM-v0.1-8B: https://huggingface.co/sailing-lab/SR2AM-v0.1-8B 🤗 SR²AM-v1.0-30B: https://huggingface.co/sailing-lab/SR2AM-v1.0-30B Joint work with @jinyuhou0, @larasnevess, @varad0309, @tw_killian, @waterluffy, @ericxing