{"slug": "procedural-graphs-self-evolving-execution-structures-for-llm-agents", "title": "Procedural Graphs: Self-Evolving Execution Structures for LLM Agents", "summary": "Researchers propose Procedural Graphs, a self-evolving execution structure that encodes procedural knowledge for LLM agents, aiming to improve long-horizon planning and tool use by making action sequences explicit and adaptable.", "body_md": "Large language models are increasingly deployed as agents that plan over long horizons and act through external tools. Most agents select actions through unconstrained generation over an accumulating history, leaving implicit the procedural knowledge of what to do, in what order, and under which con", "url": "https://wpnews.pro/news/procedural-graphs-self-evolving-execution-structures-for-llm-agents", "canonical_source": "https://aiflash.com/news/116114/", "published_at": "2026-09-09 05:01:14+00:00", "updated_at": "2026-09-09 05:19:49.379368+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-agents", "ai-research"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/procedural-graphs-self-evolving-execution-structures-for-llm-agents", "markdown": "https://wpnews.pro/news/procedural-graphs-self-evolving-execution-structures-for-llm-agents.md", "text": "https://wpnews.pro/news/procedural-graphs-self-evolving-execution-structures-for-llm-agents.txt", "jsonld": "https://wpnews.pro/news/procedural-graphs-self-evolving-execution-structures-for-llm-agents.jsonld"}}