Zuyao Xu
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aCAPTCHA: Verifying That an Entity Is a Capable Agent via Asymmetric Hardness

Zuyao Xu, Xiang Li, Fubin Wu, Yuqi Qiu, Lu Sun, Fasheng Miao

An entity-type verification protocol for admitting capable AI agents.

Timing separation and threshold sensitivity. Agent data are empirical; human timings are simulated (Figures 2–3).
Timing separation and threshold sensitivity. Agent data are empirical; human timings are simulated (Figures 2–3). Source ↗

A different verification question

aCAPTCHA asks whether an interacting entity is a capable AI agent. It separates entity-type verification from checking an entity’s identity, and studies humans, scripts, and agents as distinct classes.

Asymmetric hardness

The protocol combines action, reasoning, and memory requirements with a time limit. Its HTTP-based challenges use differences in human and model processing time to study an agent-admission mechanism.

Evaluation scope

The paper reports preliminary agent trials alongside modeled human timing. The figure distinguishes empirical agent observations from simulated human response times; it should not be read as a completed human-subject experiment.