Skip to content
English

Switch theme

arXiv 2610.31372 · cs.AI · 2026-10-22

RIDAR: Safeguarding Research Integrity in Autonomous Research Agents via Automated Detection and Runtime Intervention

Jiening Siow, Amy Xin, Junjie Wang, Ziyu Tang, Zijun Yao, Yunjia Qi, Fanjin Zhang, Lei Hou and 2 more

Knowledge Engineer Group @ Tsinghua University

In latest · #333 Added on 2026-10-26

One-line takeaway

RIDAR detects and intervenes in research integrity violations by autonomous research agents, using a 14-type taxonomy; its post-hoc detector reaches 85.2% F1 and finds 3,964 violations in 99.7% of 300 real agent trajectories.

RIDAR 检测并干预自主科研智能体的科研诚信违规:提出 14 类违规分类,事后检测在专家标注集上 F1 达 85.2%;在 300 条真实轨迹中 99.7% 都检出违规,共 3964 处。

16HF upvotes
6GitHub stars
0Citations (Semantic Scholar)
39.3Buzz score

Read on arXiv PDF Hugging Face discussion Code

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)