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CaptchaArena, the first large-scale, fine-grained training dataset for interactive CAPTCHA solving, is presented and CaptchaAgent, a single 9B policy for all 20 CAPTCHA types, is trained with supervised fine-tuning followed by reinforcement learning.
Nine metrics that make a verifier claim checkable, and coordinates for the verifiers still to be built, are closed with nine metrics that make a verifier claim checkable.
This work presents an online skill-evolution framework that converts interaction trajectories and evaluator feedback into a persistent, versioned library of reusable procedures and characterize evolving skill libraries as auditable, shared procedural memory that can improve a fixed computer-use stack.
The proposed SeekJudge framework, in which four role-specialized agents, a Condense, a Ground, a Seek and an Analyze agent, reach a verdict through a Seek--Analyze loop over the trajectory, is the first practical model-based reward to match or surpass native rule-based supervision in online RL.
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