Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?
Our previous ARC-AGI-3 agent bundled executable world modeling, prompted simplification, and exact replay verification, leaving their individual contributions unclear. An executable world model is a persistent, agent-authored environment hypothesis embodied in runnable code. We compare four Codex-based variants: textual; flexible-interface executable; executable with simplification prompts; and a fixed-interface variant with simplification and exact replay verification against recorded observations. The main study evaluates them with gpt-5.4 and gpt-5.5 at high and xhigh reasoning effort on 25 public games; exploratory follow-ups compare textual and verification with gpt-5.6-sol. In the m...
| Authors | Sergey Rodionov |
|---|---|
| Primary category | cs.AI |
| Published | 16 July 2026 |
| Last updated at source | 27 August 2026 |
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