AI RESEARCH
Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems
arXiv CS.CL
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ArXi:2605.14259v1 Announce Type: cross Applying Large Language Models (LLMs) to heterogeneous enterprise systems is hindered by hallucinations and failures in multi-hop, n-ary reasoning. Existing paradigms (e.g., GraphRAG, NL2SQL) lack the semantic grounding and auditable execution required for these complex environments. We