ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models

• URL: http://arxiv.org/abs/2606.23404v1
• Date: Mon, 22 Jun 2026 14:28:35 GMT
• Title: ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models
• Abstract summary: ReasoningLens is an open-source framework designed for the hierarchical visualization and diagnostic auditing of complex reasoning chains.<n> ReasoningLens addresses information necropsy by: (1) structuring traces into interactive hierarchies that separate high-level strategy from low-level execution; and (2) leveraging an agentic auditor for automated error detection and tool-augmented verification.
• Score: 73.59878306788815
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The emergence of Large Reasoning Models has introduced exceptionally long Chain-of-Thought traces, creating a transparency burden where critical logic is often buried under massive procedural text. To address this, we present ReasoningLens, an open-source framework designed for the hierarchical visualization and diagnostic auditing of complex reasoning chains. ReasoningLens addresses information necropsy by: (1) structuring traces into interactive hierarchies that separate high-level strategy from low-level execution; (2) leveraging an agentic auditor for automated error detection and tool-augmented verification; and (3) synthesizing systemic reasoning profiles to reveal model-specific blind spots. By transforming unstructured walls of text into actionable insights, ReasoningLens provides a modular foundation for interpreting, debugging, and optimizing the next generation of reasoning-centric AI.

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