While AI innovation accelerates rapidly, the intellectual process behind breakthroughs -- how researchers identify gaps, synthesize prior work, and generate insights -- remains poorly understood. The lack of structured data on scientific reasoning hinders systematic analysis and development of AI research agents. We introduce Sci-Reasoning, the first dataset capturing the intellectual synthesis behind high-quality AI research. Using community-validated quality signals and an LLM-accelerated, human-verified pipeline, we trace Oral and Spotlight papers across NeurIPS, ICML, and ICLR (2023-2025) to its key predecessors, articulating specific reasoning links in a structured format. Our analysis identifies 15 distinct thinking patterns, with three dominant strategies accounting for 52.7%: Gap-Driven Reframing (24.2%), Cross-Domain Synthesis (18.0%), and Representation Shift (10.5%). The most powerful innovation recipes combine multiple patterns: Gap-Driven Reframing + Representation Shift, Cross-Domain Synthesis + Representation Shift, and Gap-Driven Reframing + Cross-Domain Synthesis. This dataset enables quantitative studies of scientific progress and provides structured reasoning trajectories for training the next generation AI research agents.
Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models
Shanghai Academy of Social Sciences（上海社会科学院）；Nanjing University（南京大学）；Shanghai Jiao Tong University（上海交通大学）；Shanghai Institutes for International Studies（上海国际问题研究院）
Towards unearthing neglected climate innovations from scientific literature using Large Language Models
Grantham Institute for Climate Change and the Environment, Imperial College London（帝国理工学院格兰瑟姆气候变化与环境研究所）；Dyson School of Engineering, Imperial College London（帝国理工学院戴森工程学院）；Department of Earth Science and Engineering, Imperial College London（帝国理工学院地球科学与工程系）
Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action
Singapore General Hospital（新加坡中央医院）；Duke-NUS Medical School（杜克-新加坡国立大学医学院）；University of California, San Francisco（加州大学旧金山分校）；Stanford University School of Medicine（斯坦福大学医学院）；Byers Eye Institute（拜尔斯眼科研究所）；Singapore Health Services（新加坡医疗服务机构）；TUD Dresden University of Technology（德累斯顿工业大学）；Mass General Brigham（麻省总医院布里格姆医疗系统）；Harvard Medical School（哈佛医学院）；Brigham and Women’s Hospital（布莱根妇女医院）；Dana-Farber Cancer Institute（达纳-法伯癌症研究所）；University of Birmingham（伯明翰大学）；University Hospitals Birmingham NHS Foundation Trust（伯明翰大学医院NHS基金会信托）；National University of Singapore（新加坡国立大学）；NUS Artificial Intelligence Institute（新加坡国立大学人工智能研究院）
InnoGym: Benchmarking the Innovation Potential of AI Agents
Zhejiang University（浙江大学）；Ant Group（蚂蚁集团）；National University of Singapore（新加坡国立大学）；Zhejiang University - Ant Group Joint Laboratory of Knowledge Graph（知识图谱联合实验室）
Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator
Department of Information Science, University of North Texas（北卡罗来纳州立大学信息科学系）；Department of Computer Science, North Carolina State University（北卡罗来纳州立大学计算机科学系）；Department of Data Science, University of North Texas（得克萨斯大学数据科学系）；School of Information Sciences, University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校信息科学学院）
Decoding complexity: how machine learning is redefining scientific discovery
Alice Author Affiliation（Alice作者机构）；Tom Theory Affiliation（Tom理论机构）；Emma Experiments Affiliation（Emma实验机构）；Affiliation, Department, City, Country（机构、部门、城市、国家）；Simon Simulations Affiliation（Simon模拟机构）
Big Data and the Computational Social Science of Entrepreneurship and Innovation
Booth School of Business, University of Chicago（芝加哥大学博斯商学院）；Department of Sociology, University of Chicago（芝加哥大学社会学系）；Knowledge Lab, University of Chicago（芝加哥大学知识实验室）；Santa Fe Institute, \cny USA（圣达菲研究所）
What is Implementation Science; and Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging
Tehran University of Medical Sciences（德黑兰医科大学）；Imperial College（帝国理工学院）；Washington University in St. Louis（圣路易斯华盛顿大学）；Sultan Qaboos University（苏丹卡布斯大学）；Universiti Sains Malaysia（马来西亚理科大学）；University of British Columbia（不列颠哥伦比亚大学）；BC Cancer Research Institute（不列颠哥伦比亚癌症研究所）
