How do agents perceive, reason and act in spatial environments?

ArcUI uses controlled experiments to study agent behavior in governed spatial systems. Benchmarks are evidence, not the end goal: they help us identify recurring patterns and derive principles for building operational spatial systems.

Research begins with a question, not a leaderboard.

Question

Start with a behavior worth understanding.

We ask what helps an agent maintain situational awareness, justify an action, or recognize when its context is incomplete.

Experiment

Make the conditions inspectable.

Controlled spatial episodes, observation contracts and recorded evidence let others examine what the agent actually received.

Principle

Turn patterns into design guidance.

A score matters only when it helps reveal a recurring pattern that can improve how spatial systems are built and evaluated.

Can an agent justify an assertion when its evidence is incomplete?

ArcUI-Bench is an active experimental harness for this question. It compares paired episodes where the task is identical but the available context changes, so a correct answer must match the evidence received rather than a model's tendency to assert or abstain.

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