AI RESEARCH
X-RAY: Mapping LLM Reasoning Capability via Formalized and Calibrated Probes
arXiv CS.AI
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ArXi:2603.05290v2 Announce Type: replace Large language models (LLMs) achieve promising performance, yet their ability to reason remains poorly understood. Existing evaluations largely emphasize task-level accuracy, often conflating pattern matching with reasoning capability. We present X-RAY, an explainable reasoning analysis system that maps the LLM reasoning capability using calibrated, formally verified probes.