<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This repository serves as a comprehensive, curated collection of research and benchmarks in Agentic World Modeling, addressing the critical need for a structured overview of this rapidly advancing field. It provides researchers, engineers, and power users with an organized, up-to-date resource to track foundations, capabilities, laws, and future directions, thereby facilitating informed adoption decisions for related AI technologies.

How It Works

The project meticulously organizes over 1,000 research papers and benchmarks into a clear taxonomy. This taxonomy categorizes contributions by world modeling capabilities—L1 (Predictor), L2 (Simulator), and L3 (Evolver)—and by application domains, including Physical, Digital, Social, and Scientific contexts. Entries are presented in reverse chronological order, offering a dynamic view of recent progress and emerging trends. This curated approach, primarily accessible via a public Notion database, aims to provide a navigable and comprehensive landscape of agentic world modeling research.

Quick Start & Requirements

Access the curated collection by navigating to the public Notion database. No specific software installation is required, as this resource is purely informational.

• Link: [Notion Database](Implied, not directly provided in snippet)
• Link: [Poster](Implied, not directly provided in snippet)

Highlighted Details

• Features an extensive collection of over 1,000 research papers and benchmarks.
• Organized by a taxonomy of L1 (Predictor), L2 (Simulator), and L3 (Evolver) capabilities, further segmented across Physical, Digital, Social, and Scientific domains.
• Content is meticulously listed in reverse chronological order, highlighting the latest advancements.
• Accessible through a public Notion database, facilitating efficient browsing, searching, and organization of information.

Maintenance & Community

The project actively encourages community contributions and discussion, with links to Discord/Slack channels provided for engagement. The README indicates that further updates are planned, suggesting ongoing maintenance and expansion of the resource.

Licensing & Compatibility

Released under the permissive MIT License, this resource imposes minimal restrictions, making it highly compatible for integration into commercial or closed-source projects without significant legal hurdles.

Limitations & Caveats

This repository functions as a curated bibliography and benchmark index, rather than a deployable software tool or framework. Its primary limitation is that its value is directly tied to the recency and completeness of its curated content. The specific URL for the public Notion database is not explicitly provided within the README snippet.