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docs: update papers
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‎docs/admin/data.json‎

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{
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"generated": "2026-03-19",
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"stats": {
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"total": 201,
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"data": 51,
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"methods": 128,
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"total": 203,
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"data": 53,
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"methods": 129,
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"analysis": 23
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},
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"papers": [
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{
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"id": 205,
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"short_name": "OpenSWE",
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"title": "daVinci-Env: Open SWE Environment Synthesis at Scale",
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"authors": "Dayuan Fu, Shenyu Wu, Yunze Wu, Zerui Peng, Yaxing Huang, Jie Sun, Ji Zeng, Mohan Jiang, Lin Zhang, Yukun Li, Jiarui Hu, Liming Liu, Jinlong Hou, Pengfei Liu",
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"venue": "arXiv preprint arXiv:2603.13023",
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"month": "2026-03",
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"category": "sft, data_collection, training_datasets",
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"links": {
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"arxiv": "https://arxiv.org/abs/2603.13023",
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"github": "https://github.com/GAIR-NLP/OpenSWE",
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"huggingface": "https://huggingface.co/datasets/GAIR/OpenSWE"
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}
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},
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{
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"id": 204,
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"short_name": "SWE-Skills-Bench",
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"title": "SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?",
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"authors": "Tingxu Han, Yi Zhang, Wei Song, Chunrong Fang, Zhenyu Chen, Youcheng Sun, Lijie Hu",
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"venue": "arXiv preprint arXiv:2603.15401",
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"month": "2026-03",
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"category": "evaluation_datasets",
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"links": {
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"arxiv": "https://arxiv.org/abs/2603.15401",
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"github": "https://github.com/GeniusHTX/SWE-Skills-Bench"
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}
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},
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{
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"id": 201,
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"short_name": "SWE-Atlas",

‎docs/index.md‎

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<a href="https://github.com/DeepSoftwareAnalytics/Awesome-Issue-Resolution/graphs/contributors" target="_blank">
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<img src="https://img.shields.io/github/contributors/DeepSoftwareAnalytics/Awesome-Issue-Resolution?style=for-the-badge&color=green&logo=github" alt="Contributors">
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<img src="https://img.shields.io/badge/papers-201-green?style=for-the-badge&logo=googlescholar&logoColor=white" alt="Papers Count">
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<img src="https://img.shields.io/badge/papers-203-green?style=for-the-badge&logo=googlescholar&logoColor=white" alt="Papers Count">
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<!-- Interactive Exploration Badges -->

‎site/index.html‎

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<a href="https://github.com/DeepSoftwareAnalytics/Awesome-Issue-Resolution/graphs/contributors" target="_blank">
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<img src="https://img.shields.io/github/contributors/DeepSoftwareAnalytics/Awesome-Issue-Resolution?style=for-the-badge&color=green&logo=github" alt="Contributors">
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<img src="https://img.shields.io/badge/papers-201-green?style=for-the-badge&logo=googlescholar&logoColor=white" alt="Papers Count">
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<img src="https://img.shields.io/badge/papers-203-green?style=for-the-badge&logo=googlescholar&logoColor=white" alt="Papers Count">
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<!-- Interactive Exploration Badges -->

‎site/news/index.html‎

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<li><strong>SWE-Adept</strong>: SWE-Adept: An LLM-Based Agentic Framework for Deep Codebase Analysis and Structured Issue Resolution <a href="https://arxiv.org/abs/2603.01327"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a></li>
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<li><strong>SWE-Atlas</strong>: SWE-Atlas <a href="https://labs.scale.com/leaderboard/sweatlas-qna"><img alt="Website" src="https://img.shields.io/badge/Website-link-5B9BD5?logo=googlechrome&amp;logoColor=white" /></a></li>
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<li><strong>SWE-CI</strong>: SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration <a href="https://arxiv.org/abs/2603.03823"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a> <a href="https://github.com/SKYLENAGE-AI/SWE-CI"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-code-181717?logo=github&amp;logoColor=white" /></a> <a href="https://huggingface.co/datasets/skylenage/SWE-CI"><img alt="HuggingFace" src="https://img.shields.io/badge/HuggingFace-model-FFD21E?logo=huggingface&amp;logoColor=black" /></a></li>
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<li><strong>SWE-Skills-Bench</strong>: SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering? <a href="https://arxiv.org/abs/2603.15401"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a> <a href="https://github.com/GeniusHTX/SWE-Skills-Bench"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-code-181717?logo=github&amp;logoColor=white" /></a></li>
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<li><strong>OpenSWE</strong>: daVinci-Env: Open SWE Environment Synthesis at Scale <a href="https://arxiv.org/abs/2603.13023"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a> <a href="https://github.com/GAIR-NLP/OpenSWE"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-code-181717?logo=github&amp;logoColor=white" /></a> <a href="https://huggingface.co/datasets/GAIR/OpenSWE"><img alt="HuggingFace" src="https://img.shields.io/badge/HuggingFace-model-FFD21E?logo=huggingface&amp;logoColor=black" /></a></li>
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<li><strong>Closing the Loop</strong>: Closing the Loop: Universal Repository Representation with RPG-Encoder <a href="https://arxiv.org/abs/2602.02084"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a> <a href="https://github.com/microsoft/RPG-ZeroRepo"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-code-181717?logo=github&amp;logoColor=white" /></a> <a href="https://ayanami2003.github.io/RPG-Encoder/"><img alt="Website" src="https://img.shields.io/badge/Website-link-5B9BD5?logo=googlechrome&amp;logoColor=white" /></a></li>
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<li><strong>DockSmith</strong>: DockSmith: Scaling Reliable Coding Environments via an Agentic Docker Builder <a href="https://arxiv.org/abs/2602.00592"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a> <a href="https://huggingface.co/collections/8sj7df9k8m5x8/docksmith"><img alt="HuggingFace" src="https://img.shields.io/badge/HuggingFace-model-FFD21E?logo=huggingface&amp;logoColor=black" /></a></li>
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<li><strong>Rust-SWE-bench</strong>: Evaluating and Improving Automated Repository-Level Rust Issue Resolution with LLM-based Agents <a href="https://arxiv.org/abs/2602.22764"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a> <a href="https://github.com/GhabiX/Rust-SWE-Bench"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-code-181717?logo=github&amp;logoColor=white" /></a></li>
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<li><strong>Scale-SWE</strong>: Immersion in the GitHub Universe: Scaling Coding Agents to Mastery <a href="https://arxiv.org/abs/2602.09892"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a> <a href="https://github.com/AweAI-Team/ScaleSWE"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-code-181717?logo=github&amp;logoColor=white" /></a> <a href="https://huggingface.co/collections/AweAI-Team/scale-swe"><img alt="HuggingFace" src="https://img.shields.io/badge/HuggingFace-model-FFD21E?logo=huggingface&amp;logoColor=black" /></a></li>
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<li><strong>SWE Context Bench</strong>: SWE Context Bench: A Benchmark for Context Learning in Coding <a href="https://arxiv.org/pdf/2602.08316"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a></li>
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<li><strong>SWE-ABS</strong>: SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark <a href="https://arxiv.org/abs/2603.00520"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a></li>
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<li><strong>SWE-Bench Mobile</strong>: SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications? <a href="https://arxiv.org/abs/2602.09540"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a> <a href="https://swebenchmobile.com/"><img alt="Website" src="https://img.shields.io/badge/Website-link-5B9BD5?logo=googlechrome&amp;logoColor=white" /></a></li>
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<li><strong>SWE-Hub</strong>: SWE-Hub: A Unified Production System for Scalable, Executable Software Engineering Tasks <a href="https://arxiv.org/abs/2603.00575"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a></li>
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<li><strong>SWE-Master</strong>: SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training <a href="https://arxiv.org/abs/2602.03411"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a> <a href="https://github.com/RUCAIBox/SWE-Master"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-code-181717?logo=github&amp;logoColor=white" /></a></li>
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<li><strong>SWE-MiniSandbox</strong>: SWE-MiniSandbox: Container-Free Reinforcement Learning for Building Software Engineering Agents <a href="https://arxiv.org/abs/2602.11210v1"><img alt="arXiv" src="https://img.shields.io/badge/arXiv-paper-B31B1B?logo=arxiv&amp;logoColor=white" /></a> <a href="http://github.com/lblankl/SWE-MiniSandbox"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-code-181717?logo=github&amp;logoColor=white" /></a></li>

‎site/search/search_index.json‎

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