Retrieval-state lock-in causes zero-dispersion errors in 42% of KG-RAG and 59% of dense-retrieval failures; a three-object check rule reaches 91.9% pooled precision at 7.7% coverage.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Proposes an agentic RAG framework with knowledge graphs and LLMs to produce model-grounded economic reports, evaluated on U.S. inflation persistence and commercial real estate stress-test narratives.
citing papers explorer
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When Confidence Takes the Wrong Path: Diagnosing Retrieval-State Lock-In in RAG
Retrieval-state lock-in causes zero-dispersion errors in 42% of KG-RAG and 59% of dense-retrieval failures; a three-object check rule reaches 91.9% pooled precision at 7.7% coverage.
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AI Economist Agent: An Agentic Framework for Model-Grounded Economic Analysis with RAG, Knowledge Graphs, and Large Language Models
Proposes an agentic RAG framework with knowledge graphs and LLMs to produce model-grounded economic reports, evaluated on U.S. inflation persistence and commercial real estate stress-test narratives.