Yasunobu Uchiyama

Five Whys as an Epistemic-Honesty Scaffold for Multi-Agent LLM Analysis of Industrial Time Series

Multi-agent large language model (LLM) pipelines increasingly analyse industrial time series. Where the true causes lie outside the recorded signal, they tend to report confident, plausible-sounding mechanisms not grounded in the data — a false root-cause handed to an engineer. We port Toyota’s Five Whys onto such a mu...