{"slug": "topology-consistent-task-planning-over-cellular-workflow-complexes-for-llm-based", "title": "Topology-Consistent Task Planning over Cellular Workflow Complexes for LLM-based Agents", "summary": "Researchers introduced TopoPlanner, a topology-consistent planning framework that lifts tool dependency graphs into cellular workflow complexes to serve as topology-aware context for LLM tool planning, according to the arXiv:2610.07004v1 paper. TopoPlanner retrieves a request-relevant closed subcomplex via cosheaf-consistent cellular retrieval, performs multidimensional structural reasoning over that topology, and feeds the resulting cellular representation to the planner LLM for tool-sequence generation. Across four tool-planning benchmarks covering topology-guided loop, merge, and loop-merge workflows, TopoPlanner showed consistent improvements over prompt-based and graph-enhanced baselines on different local LLM backbones.", "body_md": "arXiv:2610.07004v1 Announce Type: new \nAbstract: Task planning for LLM agents requires workflows that satisfy both user intent and complex sub-task dependencies. While existing planners work well for sequential or directed acyclic graph (DAG)-like structures, they struggle with workflow patterns such as verification-correction loops, convergent branch merging, and reusable intermediate states that arise naturally in real-world tool orchestration. We present TopoPlanner, a topology-consistent planning framework that lifts tool dependency graphs into cellular workflow complexes and uses them as topologyaware context for LLM tool planning. TopoPlanner retrieves a request-relevant closed subcomplex through cosheaf-consistent cellular retrieval, performs multidimensional structural reasoning over the retrieved topology, and interfaces the resulting cellular representation with the planner LLM for tool-sequence generation. Experiments on four tool-planning benchmarks with topology-guided loop, merge, and loop-merge workflows show consistent improvements over prompt-based and graph-enhanced baselines across different local LLM backbones.", "url": "https://wpnews.pro/news/topology-consistent-task-planning-over-cellular-workflow-complexes-for-llm-based", "canonical_source": "https://arxiv.org/abs/2610.07004", "published_at": "2026-10-07 04:00:00+00:00", "updated_at": "2026-10-07 04:18:49.275285+00:00", "lang": "en", "topics": ["ai-agents", "large-language-models", "ai-research", "artificial-intelligence"], "entities": ["TopoPlanner", "arXiv"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/topology-consistent-task-planning-over-cellular-workflow-complexes-for-llm-based", "markdown": "https://wpnews.pro/news/topology-consistent-task-planning-over-cellular-workflow-complexes-for-llm-based.md", "text": "https://wpnews.pro/news/topology-consistent-task-planning-over-cellular-workflow-complexes-for-llm-based.txt", "jsonld": "https://wpnews.pro/news/topology-consistent-task-planning-over-cellular-workflow-complexes-for-llm-based.jsonld"}}