Code and experiment archives for "Reducing Hallucinated Causal Links in LLM-Based Industrial Anomaly Explanation via Causal Graph Grounding"

Le résumé fourni par la source

Code and experiment archives for the manuscript "Reducing Hallucinated Causal Links in LLM-Based Industrial Anomaly Explanation via Causal Graph Grounding". The package contains the full research pipeline: a synthetic SCM generator; the PCMCI causal-discovery pipeline with exact-reproduction scripts for the SWaT and WADI discovery runs (51->28 retained dimensions, 230 cross-variable edges); an LLM backend implementing edge-set grounding (enum hard constraint via JSON-schema structured output with client-side validation, plus soft-prompt variants); run scripts for all reported experiments, including 30-seed degree-matched random-graph controls, the honest-boundary audit, evidence-table injection, and four-vendor cross-replication (Alibaba, DeepSeek, Zhipu, Moonshot); per-run JSON and log archives; and the raw per-rater CSV files of the human study (14 raters). The synthetic benchmark is self-contained; SWaT and WADI require a licence from iTrust, SUTD and are not redistributed. All seeds are fixed; see README.md for entry points and results/RUNS_2026_METADATA.md for model snapshot identifiers. License: MIT.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.