ResearchResearch paper

CanvasObs exposes structured state that canvas agents cannot see in pixels

Submitted October 19, CanvasObs supplements screenshots with object identity, visibility, native relationships and off-screen coordinates, then tests the added state through a fixed action pipeline.

Why it matters

Pixels do not reliably reveal covered or off-screen objects, native bindings or exact geometry. A generative-interface runtime may need to expose actionable semantics instead of asking a model to reconstruct all state from the image.

A closer look

The authors run 1,200 trials across 10 targeted configurations, three models and 20 repetitions per condition. Pooled correct-target selection rises from 16.5% to 48.3%, while full-task success rises from 4.3% to 25.0%. Yet only 153 of 290 target-correct CanvasObs trials also place the object correctly (52.8%), separating target discovery from action execution.

Who this is for

Teams building canvas agents, design tools, generative-UI runtimes and evaluations

Original sources

Revisions & corrections (1)

— Historical catch-up: the original PDF now supplies methods, denominators, confidence intervals and limitations.

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