# GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents

> 标题为英语

> 全文为英语

**Published:** 2026年9月17日
**Author:** Sikun Wang, Yixi Zhou, Lei Fan, Fan Zhang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/graphecho-structural-redundancy-and-evidence-provenance-in-llm-graph-age

A large language model (LLM) agent can follow more graph paths without acquiring more independent evidence. GraphEcho tests whether agents mistake these repeated encounters for additional corroboration. The benchmark varies path counts and evidential origins while holding…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2609.17695)

**标签：** #arXiv

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