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EvoCowork is introduced, a 240-task benchmark for evaluating harness-level recursive self-improvement across four office modalities, with model weights held fixed.
This study evaluates rendered code in repository-level repair workflows and introduces controlled agent settings to separate unguided repository exploration from more structured repair stages, and positions rendered code as a viable but conditional compression mechanism for realistic coding agents.
This work introduces Visual Skill Cards, a state-conditioned memory representation that binds reusable procedures with applicability cues, visual evidence, and verification signals and supports CardDistill, which uses VSC evidence as privileged teacher context to train a student that acts without runtime card retrieval...
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