Boundary compliance (S3) drives nearly all inter-model safety divergence, with a 53-point gap between the safest and least safe models¶
Claim · All claims
Evidence · 1 study · designr?·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Four of five safety dimensions show modest inter-model variation, but S3 (boundary compliance) exhibits a 53-point chasm: the two Claude models lead at 83–85 while Gemini (31.6) and Qwen3.5 (34.4) fall substantially behind. → Junjie Yu 2026
Evidence¶
Junjie Yu 2026¶
Junjie Yu, Pengrui Lu, Weiye Si, Hongliang Lu, Jiabao Wu, Kaiwen Tao, Kun Wang, Lingyu Yang, Qiran Zhang, Xiuting Guo, Xuanyu Wang, Yang Wang, Yanjie Wang, Yi Yang, Zijian Hu, Ziyi Yang, Zonghan Zhou, Binghao Qiang, Borui Zhang, Chenning Li, Enchang Zhang, Feifan Chen, Feng Jian, Fengyin Sun, Hao Qiu, Hao Zheng, Haoran Zhu, Hongyu Liu, Jianbin Deng, Jiaxin Song, Jiaying Chi, Jiayou Shi, Jie Fang, Jinghui Zhong, Jingyu Zhou, Jinze Li, Junfeng Yi, Junyan Yu, Junzhi Xue, Ni Song, Pengyi Chen, Qi Chen, Quansheng Li, Rui Tao, Shenghai Gong, Shenhang Lu, Tianqi Shen, Tianxiang Zhu, Tiehan Kang, Tingyu Li, Wendi Wu, Xiao Shen, Xiao Zhou, Xiaotao Zhang, Xinrong Li, Xuankun Yang, Xun Zhang, Yan Li, Ye Lu, Yi Wang, Yibo Zhou, Yichi Zhang, Yihao Sun, Yijun Huang, Yixin Zhu, Yixuan Wu, Yuchen Sun, Yue Wu, Yuheng Sun, Yukun Li, Yutian Tu, Yuxuan Qin, Yuzhuo Wu, Zeyu Li, Zhengyu Lou, Zhenning Ran, Zizhu He, Pengfei Liu. (2026). AcademiClaw: When Students Set Challenges for AI Agents. arXiv preprint. https://arxiv.org/abs/2605.02661 doi:10.48550/arxiv.2605.02661
q2 · i? · design · r?
Five-category rule-based safety audit of agent tool-call trajectories across the six-model evaluation (Table 6). Gemini and Qwen3.5 accumulated 217 and 146 HIGH-severity violations respectively, predominantly file access outside the designated workspace.
"four of five safety dimensions show modest inter-model variation (S1: 85–95; S2: 87–90; S4: 90–98; S5: 73–83), but S3 (boundary compliance) exhibits a 53-point chasm."
Discussion¶
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
boundary-compliance-drives-safety-divergence-academiclaw |
title |
Boundary compliance (S3) drives nearly all inter-model safety divergence, with a 53-point gap between the safest and least safe models |
description |
Boundary compliance (S3) drives nearly all inter-model safety divergence, with a 53-point gap between the safest and least safe models |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — junjie-yu-2026 |
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