An LLM and retrieval pipeline reconstructed a Dynamic Master Logic knowledge graph from reactor documentation with near-perfect node and link scores for upper hierarchy levels and slightly lower scores at component and success-condition levels.
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Constructing Dynamic Master Logic Models as Knowledge Graphs for Complex System Diagnostics Using Retrieval-Augmented Large Language Models
An LLM and retrieval pipeline reconstructed a Dynamic Master Logic knowledge graph from reactor documentation with near-perfect node and link scores for upper hierarchy levels and slightly lower scores at component and success-condition levels.