The Shape of Reasoning: Topological Analysis of Reasoning Traces in Large Language Models
Researchers introduce a topological data analysis framework to evaluate reasoning quality in large language models, moving beyond traditional graph-based metrics. The study demonstrates that higher-dimensional geometric structures predict reasoning quality more effectively than standard connectivity measures, offering a practical signal for training optimization.