{ "schema_version": "1.0.0", "generated_at": "2026-08-23", "canonical_url": "https://chenran.cc/", "language": ["zh-CN", "en"], "source_policy": { "summary": "Public facts are drawn from the owner-supplied resume, the current website, publication records and linked public sources.", "privacy": "Phone numbers, personal email addresses, identification numbers, family information and other private fields are intentionally excluded.", "relationship_rule": "sameAs is used only for public identities of the same person. Organization and project relationships are represented explicitly and separately.", "evidence_rule": "A public organization page verifies the organization or organization-to-organization relationship only; it does not independently prove the person's role unless stated." }, "person": { "name_zh": "陈然", "name_en": "Ran Chen", "professional_identity": "AI Product Manager", "degree": "PhD", "headline": "陈然丨AI 产品、设计与思考", "summary_zh": "博士，连续创业者。\nAgent、商业、开发...\n以及简历放不下的东西。", "summary_en": "AI product manager and PhD working across products, research, coding, design, entrepreneurship and commercialization, with a current focus on agents and generative AI.", "website": "https://chenran.cc/", "same_as": [ { "type": "Google Scholar", "url": "https://scholar.google.com/citations?user=1AFJO4sAAAAJ&hl=zh-CN" } ] }, "focus": [ "AI Product Management", "Product Strategy", "Generative AI", "AI Agents", "Agent Harness and Runtime", "AI Evaluation", "AI Search", "Retrieval-Augmented Generation", "Enterprise AI", "B2B Products", "Multimodal AI", "Large Language Models", "Model Training", "Design Intelligence", "Generative Design", "Landscape Architecture + AI", "Frontend and Backend Prototyping", "Algorithms", "Commercialization" ], "education": [ { "period": "2022-2026", "institution": "北京林业大学", "institution_en": "Beijing Forestry University", "degree": "工学博士 / PhD", "field": "风景园林学 / 数字景观", "relationship_type": "education", "evidence_url": "https://www.bjfu.edu.cn/" }, { "period": "2019-2022", "institution": "北京林业大学", "institution_en": "Beijing Forestry University", "degree": "硕士 / Master's degree", "field": "风景园林", "relationship_type": "education", "evidence_url": "https://www.bjfu.edu.cn/" }, { "period": "2014-2018", "institution": "仲恺农业工程学院", "institution_en": "Zhongkai University of Agriculture and Engineering", "degree": "学士 / Bachelor's degree", "field": "园林", "relationship_type": "education", "evidence_url": "https://www.zhku.edu.cn/" } ], "experience": [ { "period": "2024-2025", "organization": "智谱 AI / Zhipu AI", "product": "智谱清言 AI 搜索", "role": "AI 产品经理实习生 / AI Product Manager Intern", "relationship_type": "internship", "summary": "参与 AI 搜索一期体验改版，覆盖需求、交互、测试、上线、用户日志分析与后续方向研究。", "evidence": { "role_source": "owner-supplied resume", "organization_url": "https://www.zhipuai.cn/zh/about", "organization_url_scope": "organization and product context only" } }, { "period": "2025", "organization": "DataArc / 数创弧光（深圳）科技有限公司", "parent_context": "粤港澳大湾区数字经济研究院 / IDEA Research Institute", "role": "早期共创角色 / 当时唯一产品经理", "relationship_type": "work experience", "summary": "从早期市场线索中识别企业知识库的共性需求，提出 LivingKB，并通过产品线迭代、Demo 与客户 POC 推动其标品化。工作覆盖产品定义、需求抽象、评测设计与跨职能交付。", "evidence": { "role_source": "owner-supplied resume and internal work records", "organization_url": "https://www.dataarctech.com/zh/", "official_alias_and_incubation_url": "https://www.idea.edu.cn/news/11246.html", "public_funding_url": "https://www.jiemian.com/article/13660510.html", "official_relationship": "IDEA Research Institute states that 数创弧光（深圳）科技有限公司 is DataArc and was incubated by IDEA.", "evidence_scope": "Public sources verify the organization and financing context; the individual role and contribution come from owner-supplied and internal records." } }, { "period": "2021-2024", "organization": "智景云图科技公司", "role": "联合创始人 / AI 设计产品负责人", "relationship_type": "entrepreneurship", "summary": "围绕风景园林、建筑与城市设计中的 AI 图像生成和设计辅助，负责产品方案、技术边界、商业材料、客户沟通和项目交付。", "evidence": { "role_source": "owner-supplied resume", "public_url": null } }, { "period": "2025-2026", "organization": "Independent / OPC", "project": "小绿茶 AI 算命玩具", "role": "Founder and product builder", "relationship_type": "entrepreneurship", "summary": "软硬件一体 AI 玩具实验，覆盖 Agent 工具调用、ASR、TTS、LLM API、服务器、硬件、3D 打印、内容增长、投流和众筹验证。", "evidence": { "role_source": "owner-supplied resume", "public_url": null } } ], "projects": [ { "title": "智谱清言 AI 搜索一期体验改版", "period": "2024-2025", "organization": "智谱 AI / Zhipu AI", "role": "AI Product Manager Intern; product iteration owner for the documented scope", "problem": "AI 搜索等待时间长，思考过程缺少阶段反馈，引用可信与结果可追溯体验不足。", "what_i_did": "撰写并迭代 PRD，推动等待与思考过程展示、网页引用、引用侧边栏和知识卡片等功能完成评审、设计对齐、测试验收与上线；分析用户日志并跟踪上线数据。", "why_i_did_it": "提升 AI 搜索的可信感、可追溯性和长等待过程中的用户感知。", "outcome": "项目交接记录的上线后半月数据包括引用来源点击率 60%、知识体系点击率 6%；同期继续复核埋点口径。", "what_i_think_now": "AI 搜索可作为 chatbot 的基础能力继续向搜索原子化、权威来源识别、引用可追溯和图文混排演进。", "technologies": ["AI Search", "User Log Analysis", "Multi-Agent", "Citation UX", "Product Analytics", "PRD"], "related_entities": ["智谱 AI", "智谱清言"], "evidence_url": "https://www.zhipuai.cn/zh/about", "evidence_scope": "The public URL verifies the organization/product context; project details come from the owner-supplied resume." }, { "title": "LivingKB product thesis and productization", "period": "2025", "organization": "DataArc / 数创弧光", "role": "Early co-creation; sole product manager during the documented early stage", "problem": "多行业企业 AI 需求分散，技术能力需要从合成数据叙事转化为可测试、可演示、可复用的标准产品。", "what_i_did": "从早期市场线索中抽象企业知识库的共性需求，结合 ContextGraph、Think-on-Graph、RAGFactory 等技术能力提出 LivingKB；协同前后端、算法和设计，将判断逐步拆成产品线、Demo、评测与 POC。", "why_i_did_it": "把技术能力转换为更适合售前、客户验证和持续产品化的市场表达与产品结构。", "outcome": "内部阶段记录显示 1 个交付、5 个已完成 POC、4 个进行中 POC。华图案例以 1000 道题与 4 本教材建立评测单元，记录的最终准确率为 81%。", "what_i_think_now": "产品优先叙事比单一技术优先叙事更有利于跨行业复用与商业验证。", "technologies": ["Synthetic Data", "Context Graph", "Think-on-Graph", "RAGFactory", "RAG", "LLM Judge", "Enterprise Knowledge Base"], "related_entities": ["DataArc", "数创弧光", "IDEA Research Institute", "LivingKB", "华图教育"], "evidence_url": "https://www.idea.edu.cn/news/11246.html", "evidence_scope": "The official URL verifies DataArc's alias, IDEA incubation relationship and product context; the individual contribution and POC metrics come from owner-supplied and internal work records." }, { "title": "AI 设计企业共研与产品探索", "period": "2021-2024", "organization": "智景云图科技公司", "role": "Co-founder and AI design product lead", "problem": "早期生成式 AI 在专业设计场景中需要连接场地条件、布局生成、平面渲染和企业真实工作流。", "what_i_did": "负责产品方案、技术边界、商业 BP、客户沟通与项目路演；开发 CycleGAN 图像到图像原型；组织设计数据采集、清洗与标注；编写 GPT API 异步处理脚本。", "why_i_did_it": "验证 AI 生成设计在企业场景中的可交付性，而不只停留在演示效果。", "outcome": "简历记录完成 56 万元企业共研项目签约、交付与验收；组织 30+ 人数据工作；将两批约 9 万+ 条设计文章清洗为结构化 JSON、问答语料与多维标签。", "what_i_think_now": "专业设计 AI 的关键难点包括数据标准、结构控制、真实设计工作流接入和演示效果与交付价值之间的差距。", "technologies": ["CycleGAN", "Generative Design", "Data Cleaning", "Data Annotation", "GPT API", "JSON", "Model Training Data"], "related_entities": ["智景云图", "LandscapeGAN", "Design Intelligence"], "evidence_url": null, "evidence_scope": "The repository supports the technical research line; company and delivery details come from the owner-supplied resume." }, { "title": "小绿茶 AI 算命玩具", "period": "2025-2026", "organization": "Independent / OPC", "role": "Founder, product builder and operator", "problem": "探索 AI 玩具明确启动场景、Agent 工具调用、软硬件链路、角色稳定性以及从内容曝光到购买转化的商业闭环。", "what_i_did": "集成 ASR、TTS、LLM API 和 Function Call；打通服务器到硬件 PCB；完成角色、3D 建模、打印与小批量生产；搭建内容 SOP、投流与众筹验证。", "why_i_did_it": "验证大模型能力在具备明确启动语境的新奇特 AI 玩具中的产品价值。", "outcome": "简历记录小红书自然流与投流累计曝光 30 万+，最低互动成本约 0.15 元/次，淘宝众筹获得 127 台支持。", "what_i_think_now": "在扩大投入前，需要同时验证开模成本、手工生产成本、内容获客成本、转化率与异常场景兜底。", "technologies": ["ASR", "TTS", "LLM API", "Function Call", "Backend", "PCB", "Rhino", "Blender", "3D Printing"], "related_entities": ["AI Toy", "Agent", "Multimodal Interaction"], "evidence_url": null, "evidence_scope": "Owner-supplied resume." }, { "title": "LandscapeGAN / Landscape Generation", "period": "2021-2024", "organization": "Beijing Forestry University research context", "role": "Researcher, first author and code contributor", "problem": "根据场地条件生成公园与居住区布局，并探索从布局生成到平面渲染的自动化设计流程。", "what_i_did": "构建基于 GAN/CycleGAN 的生成与推理流程，整理场景模型、权重、样例与代码，并将研究扩展到 Stable Diffusion 和全流程生成设计。", "why_i_did_it": "降低专业设计方案生成和迭代的时间成本，研究设计数据、结构约束与生成质量之间的关系。", "outcome": "形成公开代码仓库、正式论文与后续 Layout2Rendering、全流程生成设计等研究资产。", "what_i_think_now": "单纯端到端图像生成存在不可解释、不可控和数据量不足问题，需要与矢量化、三维模型、评价和人机交互结合。", "technologies": ["GAN", "CycleGAN", "Stable Diffusion", "Computer Vision", "PyTorch", "Generative Design"], "related_entities": ["LandscapeGAN", "Landscape Generation", "北京林业大学人工智能+人居环境设计实验室"], "evidence_url": null }, { "title": "LLM4DESIGN", "period": "2024", "organization": "Research project", "role": "First author", "problem": "通用大模型难以同时满足建筑与环境设计中的叙事、专业知识、图文一致性和可落地图纸表达。", "what_i_did": "构建结合 Multi-Agent、RAG 和 VLM 的自动化多模态设计系统，并组织跨模态设计数据。", "why_i_did_it": "提升生成式 AI 在专业设计任务中的知识 grounding、多角色协作和多模态一致性。", "outcome": "发布 arXiv 论文与跨建筑、景观、室内和城市设计的系统研究。", "what_i_think_now": null, "technologies": ["LLM", "Multi-Agent", "RAG", "VLM", "Multimodal Generative AI"], "related_entities": ["LLM4DESIGN", "Design Intelligence"], "evidence_url": "https://arxiv.org/abs/2407.12025" }, { "title": "Layout2Rendering", "period": "2024", "organization": "Research project", "role": "First author", "problem": "生成布局需要继续连接矢量化、三维建模、分析、实时修改与多视角渲染。", "what_i_did": "研究从生成布局到语义矢量化、Grasshopper 三维建模、分析与渲染的完整工作流。", "why_i_did_it": "把生成结果从单张图像推进到可分析、可修改并保持多视角一致的设计过程。", "outcome": "发布 arXiv 论文与 AI-aided Greenspace Design 系统研究。", "what_i_think_now": null, "technologies": ["Computer Vision", "Vectorization", "Grasshopper", "3D Modeling", "Generative Design"], "related_entities": ["Layout2Rendering", "LandscapeGAN"], "evidence_url": "https://arxiv.org/abs/2404.16067" }, { "title": "HSC-GPT", "period": "2023-2024", "organization": "Research project", "role": "First author", "problem": "通用 LLM 缺少人居环境领域的专业知识、空间语义、区域文化与高质量训练数据。", "what_i_did": "提出面向人居环境建设任务的领域大模型框架，研究领域语料、微调、RAG 与 Agent 等适配路径。", "why_i_did_it": "使 LLM 更适合建筑、景观与城市设计中的专业文本和设计任务。", "outcome": "发布 arXiv 论文 HSC-GPT。", "what_i_think_now": null, "technologies": ["LLM", "Domain Adaptation", "RAG", "Agent", "Training Data"], "related_entities": ["HSC-GPT", "Human Settlements Construction"], "evidence_url": "https://arxiv.org/abs/2401.00504" } ], "entity_relationships": [ { "entity": "智谱 AI / Zhipu AI", "entity_type": "organization", "relationship_type": "internship", "period": "2024-2025", "description": "AI Product Manager internship in Zhipu Qingyan AI Search.", "evidence_url": "https://www.zhipuai.cn/zh/about", "evidence_scope": "organization/product context; individual role from owner-supplied resume" }, { "entity": "DataArc", "aliases": ["数创弧光", "数创弧光（深圳）科技有限公司"], "entity_type": "organization", "relationship_type": "work experience", "period": "2025", "description": "Early co-creation role and sole product manager during the documented early stage; proposed LivingKB and drove its productization through POCs.", "evidence_url": "https://www.idea.edu.cn/news/11246.html", "evidence_scope": "official alias and IDEA incubation relationship; individual role from owner-supplied resume" }, { "entity": "粤港澳大湾区数字经济研究院", "aliases": ["IDEA 研究院", "International Digital Economy Academy", "IDEA Research Institute"], "entity_type": "research institute", "relationship_type": "organizational context", "period": "2025", "description": "IDEA incubated DataArc. Chen Ran's DataArc experience occurred in this incubation context.", "evidence_url": "https://www.idea.edu.cn/news/11246.html" }, { "entity": "智景云图科技公司", "entity_type": "organization", "relationship_type": "entrepreneurship", "period": "2021-2024", "description": "Co-founder and AI design product lead.", "evidence_url": null, "evidence_scope": "owner-supplied resume" }, { "entity": "北京林业大学", "aliases": ["Beijing Forestry University", "BJFU"], "entity_type": "university", "relationship_type": "education and research", "period": "2019-2026", "description": "Master's, PhD and AI/design research context.", "evidence_url": "https://www.bjfu.edu.cn/" }, { "entity": "北京林业大学人工智能+人居环境设计实验室", "aliases": ["Landscape Architecture Artificial Intelligence Laboratory", "LAI Lab"], "entity_type": "research laboratory", "relationship_type": "research ecosystem", "period": null, "description": "Related public research and project ecosystem. This record does not infer an employment relationship.", "evidence_url": "https://xiaofanai.com.cn/zh/index.html" }, { "entity": "小凡 / XiaofanAI", "entity_type": "public web identity", "relationship_type": "lab-site identity", "period": null, "description": "Public web identity associated with the laboratory site domain; not represented as a company employment relationship.", "evidence_url": "https://xiaofanai.com.cn/zh/index.html" }, { "entity": "凡尔赛 / Versailles Lab", "entity_type": "historical lab identity", "relationship_type": "historical public label", "period": null, "description": "Historical lab identity reflected in the public laboratory contact address; not represented as a separate employer.", "evidence_url": "https://xiaofanai.com.cn/zh/index.html" }, { "entity": "LandscapeGAN", "aliases": ["Landscape Generation", "Landscape_Generation"], "entity_type": "research and open-source project", "relationship_type": "research, authorship and code", "period": "2021-2024", "description": "GAN-based landscape layout generation and rendering research line.", "evidence_url": null } ], "publication_metrics": { "snapshot_date": "2026-08-06", "source": "owner-supplied resume", "formal_journal_papers": 17, "sci_papers": 8, "first_author_papers": 8, "citations": "800+", "h_index": 11, "note": "Citation metrics are dynamic and should be rechecked before time-sensitive use." }, "publications": [ {"id":"J1","year":2025,"type":"journal","title":"AI for Landscape Planning: Assessing Surrounding Contextual Impact on GAN-Generated Green Land Layouts","venue":"Cities","author_position":"1/10, co-first author noted in local record","doi":"10.1016/j.cities.2025.106181","evidence_url":"https://www.sciencedirect.com/science/article/pii/S0264275125004822"}, {"id":"J2","year":2025,"type":"journal","title":"The Analysis of Intelligent Urban Form Generation Design based on Deep Learning","venue":"Computer Science and Information Systems","author_position":"3/3","doi":"10.2298/CSIS241205046L","evidence_url":"https://www.comsis.org/archive.php?show=ppr18034"}, {"id":"J3","year":2024,"type":"journal","title":"生成式算法在风景园林生成设计中的适应性研究","venue":"风景园林","author_position":"1/4","doi":"10.3724/j.fjyl.202404120207","evidence_url":"https://www.geores.com.cn/la/CN/abstract/article/1673-1530/74574"}, {"id":"J4","year":2024,"type":"journal","title":"风景园林平面图生成设计数据集增强方法研究","venue":"中国园林","author_position":"1/4","doi":"10.19775/j.cla.2024.09.0036","evidence_url":"https://link.cnki.net/doi/10.19775/j.cla.2024.09.0036"}, {"id":"J5","year":2024,"type":"journal","title":"Enhancing Urban Landscape Design: A GAN-Based Approach for Rapid Color Rendering of Park Sketches","venue":"Land","author_position":"1/9","doi":"10.3390/land13020254","evidence_url":"https://www.mdpi.com/2073-445X/13/2/254"}, {"id":"J6","year":2023,"type":"journal","title":"Generative Design of Outdoor Green Spaces Based on Generative Adversarial Networks","venue":"Buildings","author_position":"1/9","doi":"10.3390/buildings13041083","evidence_url":"https://www.mdpi.com/2075-5309/13/4/1083"}, {"id":"J7","year":2023,"type":"journal","title":"基于样式生成对抗网络的风景园林方案生成及设计特征识别","venue":"风景园林","author_position":"1/2","doi":"10.12409/j.fjyl.202305050212","evidence_url":"https://link.cnki.net/urlid/11.5366.S.20230626.1741.001"}, {"id":"J8","year":2023,"type":"journal","title":"Agricultural Cultivation Structure in Arid Areas Based on Water-Carbon Nexus--Taking the Middle Reaches of the Heihe River as an Example","venue":"Land","author_position":"5/8","doi":"10.3390/land12071442","evidence_url":"https://www.mdpi.com/2073-445X/12/7/1442"}, {"id":"J9","year":2023,"type":"journal","title":"Agroecological Risk Assessment Based on Coupling of Water and Land Resources--A Case of Heihe River Basin","venue":"Land","author_position":"4/8","doi":"10.3390/land12040794","evidence_url":"https://www.mdpi.com/2073-445X/12/4/794"}, {"id":"J10","year":2022,"type":"journal","title":"Ecosystem services assessment based on land use simulation: A case study in the Heihe River Basin, China","venue":"Ecological Indicators","author_position":"5/6","doi":"10.1016/j.ecolind.2022.109402","evidence_url":"https://doi.org/10.1016/j.ecolind.2022.109402"}, {"id":"J11","year":2022,"type":"journal","title":"基于FLUS与InVEST模型的北京市生态系统碳储量时空演变与预测","venue":"生态学报","author_position":"2/6","doi":"10.5846/stxb202201100094","evidence_url":"https://www.ecologica.cn/html/2022/23/stxb202201100094.htm"}, {"id":"J12","year":2022,"type":"journal","title":"生成对抗网络在小尺度空间布局生成设计中的研究进展与未来展望","venue":"装饰","author_position":"2/3","doi":"10.16272/j.cnki.cn11-1392/j.2022.03.002","evidence_url":"https://link.cnki.net/doi/10.16272/j.cnki.cn11-1392/j.2022.03.002"}, {"id":"J13","year":2021,"type":"journal","title":"机器学习技术在风景园林中的应用进展与展望","venue":"北京林业大学学报","author_position":"2/4","doi":"10.12171/j.1000-1522.20200313","evidence_url":"https://j.bjfu.edu.cn/article/doi/10.12171/j.1000-1522.20200313"}, {"id":"J14","year":2021,"type":"journal","title":"基于多模态深度学习的审美认知规律大规模测度方法","venue":"装饰","author_position":"1/4","doi":"10.16272/j.cnki.cn11-1392/j.2021.07.022","evidence_url":"https://link.cnki.net/doi/10.16272/j.cnki.cn11-1392/j.2021.07.022"}, {"id":"J15","year":2021,"type":"journal","title":"城市疫情背景下的19世纪后期城市公园发展与应对举措研究","venue":"中国园林","author_position":"1/4","doi":"10.19775/j.cla.2021.11.0081","evidence_url":"https://link.cnki.net/doi/10.19775/j.cla.2021.11.0081"}, {"id":"J16","year":2021,"type":"journal","title":"公共性视角下西方城市公共园林的雏形及发展研究","venue":"风景园林","author_position":"3/3","doi":"10.14085/j.fjyl.2021.03.0121.05","evidence_url":"https://link.cnki.net/doi/10.14085/j.fjyl.2021.03.0121.05"}, {"id":"J17","year":2025,"type":"journal","title":"The Applicability of Two Generative Adversarial Networks to Generative Plantscape Design: A Comparative Study","venue":"Land","author_position":"4/5","doi":"10.3390/land14040746","evidence_url":"https://www.mdpi.com/2073-445X/14/4/746"}, {"id":"P1","year":2023,"type":"preprint","title":"A Framework of Full-Process Generation Design for Park Green Spaces Based on Remote Sensing Segmentation-GAN-Diffusion","venue":"arXiv","author_position":"1","identifier":"arXiv:2312.10674","evidence_url":"https://arxiv.org/abs/2312.10674"}, {"id":"P2","year":2024,"type":"preprint","title":"LLM4DESIGN: An Automated Multi-Modal System for Architectural and Environmental Design","venue":"arXiv","author_position":"1","identifier":"arXiv:2407.12025","evidence_url":"https://arxiv.org/abs/2407.12025"}, {"id":"P3","year":2024,"type":"preprint","title":"Layout2Rendering: AI-aided Greenspace Design","venue":"arXiv","author_position":"1","identifier":"arXiv:2404.16067","evidence_url":"https://arxiv.org/abs/2404.16067"}, {"id":"P4","year":2024,"type":"preprint","title":"HSC-GPT: A Large Language Model for Human Settlements Construction","venue":"arXiv","author_position":"1","identifier":"arXiv:2401.00504","evidence_url":"https://arxiv.org/abs/2401.00504"}, {"id":"P5","year":2023,"type":"preprint","title":"Research on the Laws of Multimodal Perception and Cognition from a Cross-cultural Perspective--Taking Overseas Chinese Gardens as an Example","venue":"arXiv","author_position":"1","identifier":"arXiv:2312.17642","evidence_url":"https://arxiv.org/abs/2312.17642"}, {"id":"P6","year":2024,"type":"preprint","title":"Exploring the Impacts of Land Use/Cover Change on Ecosystem Services in Multiple Scenarios--The Case of Sichuan-Chongqing Region, China","venue":"arXiv","author_position":"1","identifier":"arXiv:2401.01363","evidence_url":"https://arxiv.org/abs/2401.01363"}, {"id":"P7","year":2025,"type":"conference/preprint","title":"SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning","venue":"NeurIPS 2025 poster / arXiv","author_position":"5/6","identifier":"arXiv:2504.08600","evidence_url":"https://arxiv.org/abs/2504.08600"} ], "patents": [ {"year":2022,"title":"给线稿图快速上色的方法及装置","identifier":"CN115131466A","author_position":"2/7","status":"published","evidence_url":"https://patents.google.com/patent/CN115131466A/zh"}, {"year":2022,"title":"局部更新设计的方法及装置","identifier":"CN115146349A / CN115146349B","author_position":"2/8","status":"published / granted-version record","evidence_url":"https://patents.google.com/patent/CN115146349A/zh"}, {"year":2025,"title":"基于多源数据分析的PM2.5污染健康与经济效益评估方法","identifier":"202510666460.6","author_position":"4/4","status":"pending verification","evidence_url":null} ] }