Executable World Models for ARC-AGI-3 in the Era of Coding Agents
Researchers demonstrate a coding-agent system for ARC-AGI-3 that uses executable Python world models to solve abstract reasoning challenges without game-specific code. The agent achieved full solutions on 7 of 25 public games, establishing a generalizable baseline approach that relies on model verification and simplicity-driven refactoring rather than hand-coded logic.