Research World Model Demo
A research world model for AI Scientists.
AI scientists do not just need a model of the world. They need a model of how worlds become understood. This demo shows ARA preserving the research process an AI scientist uses to explore an unknown environment.
The claim
Physical world models simulate environments. Research world models preserve the process of understanding them.
The demo is not trying to compete with video or spatial world models. Its job is different: capture the state-action-outcome trajectory of discovery so another AI scientist can inspect, verify, reuse, and extend the understanding instead of starting over.
What ARA keeps
The final answer is not enough.
A useful research world model needs the intermediate structure that the final writeup usually erases.
What this proves
A research process can become agent-native memory.
This launch is a demo first. It shows an AI scientist leaving behind a structured record of hypotheses, failed paths, evidence, and reusable abstractions so the next agent can inspect the work instead of starting from zero.