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Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems
用超图本体打破LLM在企业系统中的幻觉与审计困境，HEAR在供应链根因分析上实现94.7%准确率，为多跳、n元推理提供了无需重训的可扩展范式。
arXiv:2605.14259v1 Announce Type: new Abstract: Applying Large Language Models (LLMs) to heterogeneous enterprise systems is hindered by hallucination…