Multi-hop question answering tasks show that graph mind maps outperform flattened text for organizing reasoning traces. Researchers used teacher-provided graphs to guide student models, revealing a distinct modality gap in how LLMs process structured data. This approach suggests that internalizing graph structures helps models manage branching and converging thoughts more effectively.