From Human Cognition to Neural Activations: Probing the Computational Primitives of Spatial Reasoning in LLMs

ArXi:2603.26323v1 Announce Type: cross As spatial intelligence becomes an increasingly important capability for foundation models, it remains unclear whether large language models' (LLMs) performance on spatial reasoning benchmarks reflects structured internal spatial representations or reliance on linguistic heuristics. We address this question from a mechanistic perspective by examining how spatial information is internally represented and used.