docs(README): surface Awesome Works above the fold, fold License badge, drop CJK name from zh contact

- Awesome Works moves from line 823 (80% down, right after the FAQ) to line
  438, immediately after News: readers no longer scroll past the FAQ — a
  natural exit point — to reach the strongest social proof the project has.
  The institution line becomes a bold lede naming Li Auto's Mach-Mind-4-Flash
  report; 8 entries stay visible with the other 9 behind a fold, so the
  section costs little vertical space. Anchor and all 17 entries preserved.
- License badge moves into the existing 'More badges' fold.
- zh-CN contact lists the maintainer as 'Yuxuan Zhang' (no CJK name).

Author: reacher-z

README.md

@@ -15,14 +15,14 @@
 [![PyPI version](https://img.shields.io/pypi/v/clawbench-eval?style=flat-square&logo=pypi&color=3775A9&logoColor=white)](https://pypi.org/project/clawbench-eval/)
 [![Ask a question](https://img.shields.io/badge/Ask%20a%20question-181717?style=flat-square&logo=github&logoColor=white)](https://github.com/TIGER-AI-Lab/ClawBench/issues/new/choose)
 [![GitHub stars](https://img.shields.io/github/stars/TIGER-AI-Lab/ClawBench?style=flat-square&logo=github&color=181717&cacheSeconds=300)](https://github.com/TIGER-AI-Lab/ClawBench)
-[![License](https://img.shields.io/github/license/TIGER-AI-Lab/ClawBench?style=flat-square&color=A42E2B)](https://github.com/TIGER-AI-Lab/ClawBench/blob/main/LICENSE)
 
 <a href="https://huggingface.co/papers/2604.08523"><img src="https://img.shields.io/badge/%233_Paper_of_the_Day-FFD21E?style=flat-square&logo=huggingface&logoColor=000" alt="#3 Paper of the Day"></a>
 <a href="https://deepwiki.com/TIGER-AI-Lab/ClawBench"><img alt="Ask DeepWiki" src="https://img.shields.io/badge/Ask-DeepWiki-4F46E5?style=flat-square&logo=readthedocs&logoColor=white"></a>
 
 <details>
 <summary><sub><i>More badges &middot; featured in 37 curated lists</i></sub></summary>
 <p align="center">
+  <a href="https://github.com/TIGER-AI-Lab/ClawBench/blob/main/LICENSE"><img alt="License" src="https://img.shields.io/github/license/TIGER-AI-Lab/ClawBench?style=flat-square&color=A42E2B"></a>
   <a href="https://huggingface.co/datasets/NAIL-Group/ClawBenchV1Trace"><img alt="V1 traces" src="https://img.shields.io/badge/V1_Traces-FFD21E?style=flat-square&logo=huggingface&logoColor=000"></a>
   <a href="https://pypi.org/project/clawbench-eval/"><img alt="PyPI downloads" src="https://img.shields.io/pypi/dm/clawbench-eval?style=flat-square&logo=pypi&color=3775A9&logoColor=white&label=PyPI%20downloads"></a>
   <a href="https://codespaces.new/TIGER-AI-Lab/ClawBench?quickstart=1"><img alt="Codespaces" src="https://img.shields.io/badge/Codespaces-Open-181717?style=flat-square&logo=github&logoColor=white"></a>
@@ -435,6 +435,51 @@ ClawBench ships **three** Hugging Face datasets — task definitions plus full e
 
 <a id="results"></a>
 
+## <a id="awesome-works-using-clawbench"></a>✨ Awesome Works using ClawBench
+
+**Authors from Google DeepMind, Stanford, UC Berkeley, Google, Microsoft Research, Harvard, ETH Zürich, Oxford, Northwestern, ByteDance Seed, and HKUST build on ClawBench** — and Li Auto's Mach-Mind-4-Flash technical report evaluates on it.
+
+😊 **Google DeepMind, University of Oxford & Columbia University**, [The Recipe for Intelligence in Natural and Artificial Systems](https://osf.io/preprints/psyarxiv/x9ktv_v1/) ([DOI](https://doi.org/10.31234/osf.io/x9ktv_v1))
+
+😊 **Stanford, UC Berkeley, Microsoft Research & UCSB**, [Auditing Agent Harness Safety](https://arxiv.org/abs/2605.14271) ([Code](https://github.com/UCSB-AI/HarnessAudit), [Project](https://harnessaudit.github.io/))
+
+😊 **Google**, [Agentic Coding Needs Proactivity, Not Just Autonomy](https://arxiv.org/abs/2605.06717) ([Google Research Blog](https://developers.googleblog.com/en/measuring-what-matters-with-jules/))
+
+😊 **Harvard Kempner Institute, Massachusetts General Hospital & CUHK**, [NeuroClaw Technical Report](https://arxiv.org/abs/2604.24696) ([Code](https://github.com/CUHK-AIM-Group/NeuroClaw), [Project](https://cuhk-aim-group.github.io/NeuroClaw/))
+
+😊 **ETH Zürich & Handshake AI Research**, [Verifying Agents in Rubric-Graded Environments](https://openreview.net/pdf?id=ayA2tJNDET) ([Code](https://github.com/Handshake-AI-Research/gandalf-the-grader), [Workshop](https://rl-eval.github.io/))
+
+😊 **University of Oxford, NUS & Peking University**, [OpenClaw Research: A Systematic Survey of Large Language Model Agents in Open Deployment](https://openreview.net/forum?id=5PMzjzEy6J) ([Project](https://ykc1.github.io/OpenClaw_Survey_Web/), [Resources](https://github.com/shuolucs/Awesome-OpenClaw-Research))
+
+😊 **Northwestern University**, [A Survey of the OpenClaw Ecosystem: From Platform Extensibility to Constraint Design](https://openreview.net/pdf/eab5a52b7bba57e22707282587f78e482b44d9b0.pdf) ([Project & Resources](https://github.com/REAL-Lab-NU/Awesome-OpenClaw-Papers))
+
+😊 **UC Davis & UT Dallas**, [Toward Trustworthy Computer-Use Agents: Risk Propagation, Evaluation Gaps, and Human Governance](https://www.researchgate.net/publication/405422774_Toward_Trustworthy_Computer-Use_Agents_Risk_Propagation_Evaluation_Gaps_and_Human_Governance) ([Code & Project](https://github.com/xu-hu-2002/Toward-Trustworthy-Computer-Use-Agent-A-Survey), [Resources](https://huggingface.co/datasets/Xu-Hu-2002/Toward-Thustworthy-Computer-Use-Agent))
+
+<details>
+<summary><b>9 more works</b></summary>
+
+😊 **ByteDance Seed & HKUST**, [Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context](https://arxiv.org/abs/2605.13831) ([Models](https://huggingface.co/collections/ZhaoweiWang/mmprolong))
+
+😊 **Tencent Hunyuan & Fudan University**, [TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training](https://arxiv.org/abs/2607.05804)
+
+😊 **Unipat AI**, [VibeSearchBench: Benchmarking Long-horizon Proactive Search in the Wild](https://arxiv.org/abs/2605.27882) ([Code](https://github.com/VibeBench/VibeSearchBench), [Project](https://vibebench.github.io/VibeSearchBench.github.io/))
+
+😊 **Tsinghua University & CUHK**, [WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation](https://arxiv.org/abs/2605.10912) ([Code](https://github.com/InternLM/WildClawBench), [Project](https://internlm.github.io/WildClawBench/))
+
+😊 **NUS, HKUST, Tsinghua University & Peking University**, [Towards Long-Horizon Agents: A Survey](https://openreview.net/forum?id=HyhfhlbWGh) ([Project](https://long-horizon-agents.github.io/), [Resources](https://github.com/RUC-NLPIR/Awesome-Long-Horizon-Agents))
+
+😊 **HKU MMLab**, [UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks](https://arxiv.org/abs/2607.08768) ([Code](https://github.com/HKU-MMLab/UniClawBench), [Project](https://uniclawbench.github.io/))
+
+😊 **Tsinghua University & SJTU**, [MacAgentBench: Benchmarking AI Agents on Real-World macOS Desktop](https://arxiv.org/abs/2606.22557) ([Code](https://github.com/JetAstra/MacAgentBench), [Project](https://jetastra.github.io/MacAgentBench/))
+
+😊 **Peking University & CUHK**, [π-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows](https://arxiv.org/abs/2605.14678) ([Code](https://github.com/Simplified-Reasoning/Pi-Bench), [Project](https://simplified-reasoning.github.io/Pi-Bench/))
+
+😊 **SJTU**, [AcademiClaw: When Students Set Challenges for AI Agents](https://arxiv.org/abs/2605.02661) ([Code](https://github.com/GAIR-NLP/AcademiClaw), [Project](https://gair-nlp.github.io/AcademiClaw/))
+
+</details>
+
+If we missed your work, please [open an issue](https://github.com/TIGER-AI-Lab/ClawBench/issues/new/choose) or submit a pull request.
+
 ## <img src="assets/icons/chart-bar.svg" width="20" height="20"> Results
 
 <div align="center">
@@ -820,48 +865,6 @@ Yes. New model runs can be submitted or requested through the contribution flow
 
 </details>
 
-## <a id="awesome-works-using-clawbench"></a>✨ Awesome Works using ClawBench
-
-We are delighted to see ClawBench used across the research community.
-
-The growing community includes authors from **Google DeepMind, Stanford, UC Berkeley, Google, Microsoft Research, Harvard, ETH Zürich, Oxford, Northwestern, ByteDance Seed, HKUST**, and more.
-
-If we missed your work, please [open an issue](https://github.com/TIGER-AI-Lab/ClawBench/issues/new/choose) or submit a pull request.
-
-😊 **Google DeepMind, University of Oxford & Columbia University**, [The Recipe for Intelligence in Natural and Artificial Systems](https://osf.io/preprints/psyarxiv/x9ktv_v1/) ([DOI](https://doi.org/10.31234/osf.io/x9ktv_v1))
-
-😊 **Stanford, UC Berkeley, Microsoft Research & UCSB**, [Auditing Agent Harness Safety](https://arxiv.org/abs/2605.14271) ([Code](https://github.com/UCSB-AI/HarnessAudit), [Project](https://harnessaudit.github.io/))
-
-😊 **Google**, [Agentic Coding Needs Proactivity, Not Just Autonomy](https://arxiv.org/abs/2605.06717) ([Google Research Blog](https://developers.googleblog.com/en/measuring-what-matters-with-jules/))
-
-😊 **Harvard Kempner Institute, Massachusetts General Hospital & CUHK**, [NeuroClaw Technical Report](https://arxiv.org/abs/2604.24696) ([Code](https://github.com/CUHK-AIM-Group/NeuroClaw), [Project](https://cuhk-aim-group.github.io/NeuroClaw/))
-
-😊 **ETH Zürich & Handshake AI Research**, [Verifying Agents in Rubric-Graded Environments](https://openreview.net/pdf?id=ayA2tJNDET) ([Code](https://github.com/Handshake-AI-Research/gandalf-the-grader), [Workshop](https://rl-eval.github.io/))
-
-😊 **University of Oxford, NUS & Peking University**, [OpenClaw Research: A Systematic Survey of Large Language Model Agents in Open Deployment](https://openreview.net/forum?id=5PMzjzEy6J) ([Project](https://ykc1.github.io/OpenClaw_Survey_Web/), [Resources](https://github.com/shuolucs/Awesome-OpenClaw-Research))
-
-😊 **Northwestern University**, [A Survey of the OpenClaw Ecosystem: From Platform Extensibility to Constraint Design](https://openreview.net/pdf/eab5a52b7bba57e22707282587f78e482b44d9b0.pdf) ([Project & Resources](https://github.com/REAL-Lab-NU/Awesome-OpenClaw-Papers))
-
-😊 **UC Davis & UT Dallas**, [Toward Trustworthy Computer-Use Agents: Risk Propagation, Evaluation Gaps, and Human Governance](https://www.researchgate.net/publication/405422774_Toward_Trustworthy_Computer-Use_Agents_Risk_Propagation_Evaluation_Gaps_and_Human_Governance) ([Code & Project](https://github.com/xu-hu-2002/Toward-Trustworthy-Computer-Use-Agent-A-Survey), [Resources](https://huggingface.co/datasets/Xu-Hu-2002/Toward-Thustworthy-Computer-Use-Agent))
-
-😊 **ByteDance Seed & HKUST**, [Training Long-Context Vision-Language Models Effectively with Generalization Beyond 128K Context](https://arxiv.org/abs/2605.13831) ([Models](https://huggingface.co/collections/ZhaoweiWang/mmprolong))
-
-😊 **Tencent Hunyuan & Fudan University**, [TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training](https://arxiv.org/abs/2607.05804)
-
-😊 **Unipat AI**, [VibeSearchBench: Benchmarking Long-horizon Proactive Search in the Wild](https://arxiv.org/abs/2605.27882) ([Code](https://github.com/VibeBench/VibeSearchBench), [Project](https://vibebench.github.io/VibeSearchBench.github.io/))
-
-😊 **Tsinghua University & CUHK**, [WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation](https://arxiv.org/abs/2605.10912) ([Code](https://github.com/InternLM/WildClawBench), [Project](https://internlm.github.io/WildClawBench/))
-
-😊 **NUS, HKUST, Tsinghua University & Peking University**, [Towards Long-Horizon Agents: A Survey](https://openreview.net/forum?id=HyhfhlbWGh) ([Project](https://long-horizon-agents.github.io/), [Resources](https://github.com/RUC-NLPIR/Awesome-Long-Horizon-Agents))
-
-😊 **HKU MMLab**, [UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks](https://arxiv.org/abs/2607.08768) ([Code](https://github.com/HKU-MMLab/UniClawBench), [Project](https://uniclawbench.github.io/))
-
-😊 **Tsinghua University & SJTU**, [MacAgentBench: Benchmarking AI Agents on Real-World macOS Desktop](https://arxiv.org/abs/2606.22557) ([Code](https://github.com/JetAstra/MacAgentBench), [Project](https://jetastra.github.io/MacAgentBench/))
-
-😊 **Peking University & CUHK**, [π-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows](https://arxiv.org/abs/2605.14678) ([Code](https://github.com/Simplified-Reasoning/Pi-Bench), [Project](https://simplified-reasoning.github.io/Pi-Bench/))
-
-😊 **SJTU**, [AcademiClaw: When Students Set Challenges for AI Agents](https://arxiv.org/abs/2605.02661) ([Code](https://github.com/GAIR-NLP/AcademiClaw), [Project](https://gair-nlp.github.io/AcademiClaw/))
-
 ## Contributing
 
 We welcome contributions -- especially new test cases. If you've ever ordered groceries, booked an appointment, or filed a form online, you already know how to write one. Most PRs are a single JSON file and land in under a day.

docs/README.zh-CN.md

@@ -867,7 +867,7 @@ Pi 的 `agent.log`、`proxy.log` 等 harness 诊断日志不会复制到最终
 
 有问题、建议或希望开展研究合作？请联系维护者：
 
-- **张宇轩 (Yuxuan Zhang)** — `reacher` [at] `cs.ubc.ca`（UBC, NAIL Group）· [个人主页 ↗](https://reacher-z.github.io)
+- **Yuxuan Zhang** — `reacher` [at] `cs.ubc.ca`（UBC, NAIL Group）· [个人主页 ↗](https://reacher-z.github.io)
 - Bug 反馈或功能请求请[提 GitHub issue](https://github.com/TIGER-AI-Lab/ClawBench/issues/new/choose) —— 比邮件更快，且所有维护者都能看到。
 
 ## 核心贡献者