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

**Published:** September 17, 2026
**Author:** Sikun Wang, Yixi Zhou, Lei Fan, Fan Zhang
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/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…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2609.17695)

**Tags:** #arXiv

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