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Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAG

Paper exploring citation faithfulness in Agentic GraphRag systems.

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Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAG

By Riccardo Terrenzi, Maximilian von Zastrow, Serkan AyvazarXiv
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The authors investigate how traversal context and provenance affect citation faithfulness in Agentic GraphRag. They conduct controlled ablation experiments to analyze the impact of cited and uncited graph entities on answer accuracy.

The results suggest that citation evaluation should consider the broader retrieval trajectory, not just source support.

Abstract

The authors investigate how traversal context and provenance affect citation faithfulness in Agentic GraphRag. They conduct controlled ablation experiments to analyze the impact of cited and uncited graph entities on answer accuracy. The results suggest that citation evaluation should consider the broader retrieval trajectory, not just source support.

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citation faithfulnessagentic graph ragtraversal contextprovenanceanswer accuracyKnowledge GraphsRetrieval & RAGAI AgentsAgent Memory
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Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAG | Aramai