AI RESEARCH
SpatiO: Adaptive Test-Time Orchestration of Vision-Language Agents for Spatial Reasoning
arXiv CS.CV
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ArXi:2604.21190v1 Announce Type: new Understanding visual scenes requires not only recognizing objects but also reasoning about their spatial relationships. Unlike general vision-language tasks, spatial reasoning requires integrating multiple inductive biases, such as 2D appearance cues, depth signals, and geometric constraints, whose reliability varies across contexts. This suggests that effective spatial reasoning requires \emph{spatial adaptability}: the ability to flexibly coordinate different reasoning strategies depending on the input.