---
id: 20260906-T0-05
title: "Dude系统：自动检测AI论文与代码不一致"
title_en: "Dude: A Dual-Detection Multi-Agent System for Paper-Code Consistency"
url: https://ai.daily.yangsir.net/daily/20260906-T0-05
issue_date: 2026-09-06
publish_date: 2026-09-05T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2609.03416
---

# Dude系统：自动检测AI论文与代码不一致

针对论文投稿量激增导致人工审阅压力大，arXiv新论文提出Dude，一个双检测多智能体系统，自动比对论文与代码的一致性。它通过多智能体协作解决单代理上下文限制，提升学术审查效率。

## English Version

**Dude: A Dual-Detection Multi-Agent System for Paper-Code Consistency**

As research submissions grow beyond manual review capacity, arXiv introduces Dude, a dual-detection multi-agent system that automates paper-code discrepancy checking. Multi-agent design overcomes context limits for faster, more thorough academic review.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2609.03416)

**详情页**：https://ai.daily.yangsir.net/daily/20260906-T0-05

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