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This work studies a lightweight coding harness whose execution loop is fixed while three components are varied: planning, action space, and context management, and finds that context management becomes increasingly valuable as the context-window budget tightens.
Outperforms existing open-vocabulary object detectors like Grounding DINO and T-Rex2 while using significantly less training data and eliminating manual data curation.