SOURCE-LINKED INTELLIGENCE
Reflection with Action-Induced Visual Differences for Desktop GUI Agents
The Planner-Operator-Reflector (POR) framework is widely used in GUI agents to maintain objective alignment in complex tasks through modular collaboration. However, desktop GUIs introduce a key challenge: large, dense interfaces often exhibit subtle or scattered state changes, placing most of the burden on the reflector, which must compare pre- and post-action screens, while the planner and operator reason over a single state. Existing reflectors collapse change detection and outcome verification into one step, leaving evidence implicit and yielding weakly grounded decisions. To address this l
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T03:10:01.000Z
First collected: 2026-09-21T10:22:00.206Z. This is not the publication date.