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 # AgentHorizon
 
-AgentHorizon is a benchmark for evaluating LLM judges of computer-use agents. Each item is a recorded trajectory of a GUI agent attempting a long-horizon desktop task (often 100 to 300+ steps), paired with a ground-truth label that says whether the agent actually completed the task. A judge reads the trajectory (instruction, action sequence, and screenshots) and predicts success or failure.
+[AgentHorizon](https://arxiv.org/abs/2610.11050) is a benchmark for evaluating LLM judges of computer-use agents. Each item is a recorded trajectory of a GUI agent attempting a long-horizon desktop task (often 100 to 300+ steps), paired with a ground-truth label that says whether the agent actually completed the task. A judge reads the trajectory (instruction, action sequence, and screenshots) and predicts success or failure.
 
 ## Repository contents