A reasoning graph maps the logical connections between data points, revealing how conclusions are derived. It structures evidence and inference pathways, making complex decision-making transparent. Used in AI, fraud detection, and research, it helps analysts validate conclusions and spot gaps. Data scientists, auditors, and strategic planners benefit from its clarity, enhancing explainability and trust in automated systems.
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