AI RESEARCH
Spatiotemporal Hidden-State Dynamics as a Signature of Internal Reasoning in Large Language Models
arXiv CS.CL
•
ArXi:2605.01853v1 Announce Type: new Large reasoning models (LRMs) generate extended solutions, yet it remains unclear whether these traces reflect substantive internal computation or merely verbosity and overthinking. Although recent hidden-state analyses suggest that internal representations carry correctness-related signals, their coarse aggregations may obscure the token and layer structure underlying reasoning computation.