This work designs a workflow that prompts LLMs to output elements of an influence diagram and resolves issues through verification and regeneration and applies LAMDA to discussions by groups of disease control experts on a hypothetical pandemic to demonstrate its real-world applicability.
This work presents StructureClaw, an artifact-centered workbench in which LLM agents operate through governed engineering skills, typed tools, shared artifact state, and local analysis backends, together with StructureClaw-Bench, an executable benchmark of 150 controlled scenarios spanning standard workflows, interactive robustness, and multimodal structural-model reconstruction.