AI RESEARCH
Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?
arXiv CS.AI
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ArXi:2605.30557v1 Announce Type: cross Spatial reasoning is a fundamental capability for vision-language models (VLMs) deployed in real-world environments. However, visual observations are inherently limited representations of a 3D world: occlusion can render objects invisible, and perspective can make geometric properties misleading.