AIBullisharXiv – CS AI · Apr 157/10
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Reasoning Graphs: Self-Improving, Deterministic RAG through Evidence-Centric Feedback
Researchers introduce reasoning graphs, a persistent knowledge structure that improves language model reasoning accuracy by storing and reusing chains of thought tied to evidence items. The system achieves 47% error reduction on multi-hop questions and maintains deterministic outputs without model retraining, using only context engineering.