Code World Models

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15 papers3 papers in the last four weeks, down 40% on the four weeks before. 0.0% of all new papers.

Mallea: Building, Steering, and Memorizing Worlds with Coding Agent
Oct 15, 2026Xuanyi Liu, Ruiqi Li, Siwei MaCode World Models World Models
ANTE: Anticipate, Then Execute -- Learning Internal World Models for Coding Agents from Verified Beliefs
Oct 11, 2026Yi Ge, Kangrui Ruan, Jifan Chen +6Code World Models Software Engineering Agents
University of Maryland, College Park · AWS AI Labs
Code Plans, Diffusion Renders: Open-Ended Generative World Modeling
Sep 22, 2026Zixun Fang, Yawen Shao, Kai Zhu +7World Models Code World Models
USTC · TongYi Lab
Recursive Code World Models: Building Complex Worlds through Recursive Scene Programs
Sep 10, 2026Zhiqi Li, Yuxuan Liao, Bo Zhu3D Reconstruction World Models
Georgia Institute of Technology
WebWorld: The Browser as a World Model for Self-Improving Web Code
Aug 31, 2026Jiajun Wu, Jian Yang, Yaxin Du +7Self-Training for Language Models Code Generation
Beihang University · Shanghai Jiao Tong University · IQuest Research +1
An Enclosed Mode Is a Gauge Choice: Topology Relative to Reach in Certified Code World Models
Aug 28, 2026Javier Aguilar MartínCode World Models World Models
AGILabs
Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning
Aug 27, 2026Hanyang Wang, Yimo Cai, Weiliang Chen +14Code World Models World Models
Code World Model: Coding Agent as World Brain
Aug 26, 2026Yiwen Chen, Guosheng Lin, Chi ZhangWorld Models Code World Models
AGI Lab, Westlake University · Nanyang Technological University
An Omitted Mode Is a Rare Rule: The Sampling-Verification Danger Law in Continuous Code World Models
Aug 18, 2026Javier Aguilar MartínCode World Models World Models
AGILabs
Twin: Playing an Unknown Game with a Test-Time Digital Twin
Aug 14, 2026Alexy Skoutnev, Kirill Acharya, Gaston Longhitano +3Game-Playing Agents Code World Models
Yeshiva University · Stanford University · University of Southern California +1
VisualPatchWorld: Code World Models as Latent Structured Representations for Planning
Jul 28, 2026Jiaxin Bai, Jiaxuan XiongModel-Based Planning World Models
Hong Kong Baptist University Hong Kong, China
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models
Jul 15, 2026Javier Aguilar MartínLLM World Models World Models
AGILabs (javieraguilar.ai)
PatchWorld: Gradient-Free Optimization of Executable World Models
May 29, 2026Jiaxin Bai, Yue Guo, Yifei Dong +13Model-Based Planning Gradient-Free Optimization
1Hong Kong Baptist University · 2Independent Researcher · 3HKUST +4
Beyond the Autoregressive Horizon: A Comprehensive Survey of Diffusion Models, World Modelling, and State Space Models for Code
Apr 9, 2026Kishan Maharaj, Ashita Saxena, Srikanth TamilselvamCode World Models LLM Code Generation
IBM
Code World Models for Parameter Control in Evolutionary Algorithms
Feb 25, 2026Camilo Chacón Sartori, Guillem Rodríguez CorominasCode World Models Large Language Model-Guided Optimization
ICN2 – Catalan Institute of Nanoscience and Nanotechnology, Barcelona, Spain · Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain · Universitat Politècnica de Catalunya (UPC), Barcelona, Spain

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Mallea: Building, Steering, and Memorizing Worlds with Coding Agent

Xuanyi Liu, Ruiqi Li, Siwei Ma

Code World Models World Models Object-Centric World Models AI Coding Agents

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Code world models represent world dynamics through explicit state and executable rules. We investigate how to coordinate object representations, behavioral revisions, and visual memory within this formulation. We present Mallea, a system for building, steering, and memorizing worlds from text. A coding agent infers object interaction requirements from the prompt and jointly plans object structure, properties, and rules, favoring compact representations that support those requirements. The world evolves under the planned rules; optional user actions steer it, while text requests can edit properties or extend capabilities with unaffected state preserved. Object texture memory retains reusable appearance only for whitebox-defined objects and adapts it as those objects change. The program advances world state, while a generative renderer combines current structure with remembered appearance. By organizing construction, intervention, and memory around the same objects, Mallea conditions subsequent observations on the latest state and compatible appearance. Project page: https://lxycopper.github.io/Mallea.