feat: checkpoint device agent runtime milestones
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# Scene Model
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This track holds papers, experiments, and benchmarks about representing device
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screens as structured scenes. It is for research notes and evaluation assets,
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not runtime code.
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# World Model
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This track holds papers, experiments, and benchmarks about persistent state,
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environment modeling, and task-relevant memory across observations. It is for
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research notes and evaluation assets, not runtime code.
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# Skill
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This track holds papers, experiments, and benchmarks about reusable task skills,
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skill authoring, versioning, and retrieval. It is for research notes and
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evaluation assets, not runtime code.
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# Agent
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This track holds papers, experiments, and benchmarks about agent roles,
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delegation, critique, recovery, and collaboration. It is for research notes and
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evaluation assets, not runtime code.
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# Memory
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This track holds papers, experiments, and benchmarks about task memory,
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episodic traces, long-term recall, and retention policies. It is for research
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notes and evaluation assets, not runtime code.
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# Planner
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This track holds papers, experiments, and benchmarks about planning strategies,
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prompting, decomposition, and plan repair. It is for research notes and
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evaluation assets, not runtime code.
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# UI Understanding
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This track holds papers, experiments, and benchmarks about semantic UI
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understanding, visual grounding, accessibility trees, and multimodal screen
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interpretation. It is for research notes and evaluation assets, not runtime
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code.
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