docs(README): add 4 high-value citing works from S2 scan

MyPCBench (CMU), ClawTrack (Meituan), Mach-Mind-4-Flash Technical Report
(Li Auto), Harness-Bench (Peking University & Qiyuan Tech) — all arXiv-verified.
Institution line gains Princeton and Carnegie Mellon (en + zh-CN).

Author: reacher-z

README.md

@@ -202,7 +202,7 @@ order food, book travel, apply for jobs, write reviews, manage projects.<br/>
 
 ## <a id="awesome-works-using-clawbench"></a>✨ Awesome Works using ClawBench
 
-**The growing community includes authors from Google DeepMind, Stanford, UC Berkeley, Google, Microsoft Research, Harvard, ETH Zürich, Oxford, Northwestern, ByteDance Seed, HKUST, and more.**
+**The growing community includes authors from Google DeepMind, Stanford, UC Berkeley, Google, Microsoft Research, Harvard, ETH Zürich, Oxford, Northwestern, Princeton, Carnegie Mellon, ByteDance Seed, HKUST, and more.**
 
 We are delighted to see ClawBench used across the research community. If we missed your work, please [open an issue](https://github.com/TIGER-AI-Lab/ClawBench/issues/new/choose) or submit a pull request.
 
@@ -216,6 +216,8 @@ We are delighted to see ClawBench used across the research community. If we miss
 
 😊 **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/))
 
+😊 **Carnegie Mellon University**, [MyPCBench: A Benchmark for Personally Intelligent Computer-Use Agents](https://arxiv.org/abs/2606.16748) ([Code](https://github.com/ljang0/MyPCBench), [Project](https://mypcbench.com))
+
 😊 **Princeton University & University of Chicago**, [PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents](https://arxiv.org/abs/2608.04003) ([Code](https://github.com/Gen-Verse/PAST-Bench))
 
 😊 **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))
@@ -232,6 +234,10 @@ We are delighted to see ClawBench used across the research community. If we miss
 
 😊 **Tongyi Lab, Alibaba Cloud & HKUST**, [SecRespond: Benchmarking AI Agents for Real-World Post-Compromise Incident Response](https://arxiv.org/abs/2607.26791) ([Code](https://github.com/Alibaba-NLP/qqr/tree/main/data/secrespond))
 
+😊 **Meituan**, [ClawTrack: Towards Trace-Level Evaluation and Improvement of Real-World Autonomous Agents](https://arxiv.org/abs/2607.28037) ([Leaderboard](https://1997-hank-wu.github.io/ClawTrack-Leaderboard/))
+
+😊 **Li Auto (Foundation Model Team)**, [Mach-Mind-4-Flash Technical Report](https://arxiv.org/abs/2607.09375)
+
 😊 **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/))
@@ -242,6 +248,8 @@ We are delighted to see ClawBench used across the research community. If we miss
 
 😊 **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 & Qiyuan Tech**, [Harness-Bench: Measuring Harness Effects across Models in Realistic Agent Workflows](https://arxiv.org/abs/2605.27922) ([Code](https://github.com/Qihoo360/harness-bench), [Project](http://www.harness-bench.ai/))
+
 😊 **Horizon Research & Frontis.AI**, [EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions](https://arxiv.org/abs/2606.23654) ([Code](https://github.com/FrontisAI/EnterpriseClawBench), [Project](https://frontisai.github.io/EnterpriseClawBench/))
 
 😊 **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/))

docs/README.zh-CN.md

@@ -209,7 +209,7 @@ git clone https://github.com/reacher-z/ClawBench.git && cd ClawBench && ./run.sh
 
 ## <a id="awesome-works-using-clawbench"></a>✨ 使用 ClawBench 的研究工作
 
-**社区作者来自 Google DeepMind、Stanford、UC Berkeley、Google、Microsoft Research、Harvard、ETH Zürich、Oxford、Northwestern、字节跳动 Seed、HKUST 等机构。**
+**社区作者来自 Google DeepMind、Stanford、UC Berkeley、Google、Microsoft Research、Harvard、ETH Zürich、Oxford、Northwestern、Princeton、Carnegie Mellon、字节跳动 Seed、HKUST 等机构。**
 
 很高兴看到 ClawBench 被研究社区广泛使用。如果我们遗漏了你的工作，欢迎[提 issue](https://github.com/TIGER-AI-Lab/ClawBench/issues/new/choose) 或直接提交 PR。完整条目列表见[英文版 README](../README.md#awesome-works-using-clawbench)。