AI RESEARCH
Reasoning Topology Matters: Network-of-Thought for Complex Reasoning Tasks
arXiv CS.AI
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ArXi:2603.20730v1 Announce Type: cross Existing prompting paradigms structure LLM reasoning in limited topologies: Chain-of-Thought (CoT) produces linear traces, while Tree-of-Thought (ToT) performs branching search. Yet complex reasoning often requires merging intermediate results, revisiting hypotheses, and integrating evidence from multiple sources. We propose Network-of-Thought (NoT), a framework that models reasoning as a directed graph with typed nodes and edges, guided by a heuristic-based controller policy.