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

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

> Материал агрегирован из первоисточника: **arXiv — cs.AI**
> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2609.17695)

**Теги:** #arXiv

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