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cs.AI2026
The Density of Thought: Predicting and Steering Reasoning in Large Language Models
Tanush Kalhan, Anupam Chattopadhyay, Sriram Ranga +1
We investigate whether variation in information density across chain-of-thought (CoT) reasoning steps predicts answer correctness and can serve as a controllable inference-time tar…
cs.AI2026
State Representation and Termination for Recursive Reasoning Systems
Debashis Guha, Amritendu Mukherjee, Sanjay Kukreja +1
Recursive reasoning systems alternate between acquiring new evidence and refining an accumulated understanding. Two design choices are typically left implicit: how to represent the…