S-Space Identifies Internal Spatial Workspace in MLLMs

Researchers identified S-Space, a linear subspace within multimodal language models where object-token representations encode continuous horizontal, vertical, and distance coordinates. This intrinsic mechanism allows models to perform spatial reasoning by reading out internal representations without needing specific spatial prompts.