博士生如何用 SciSpace 在提交前审查学位论文
博士生 Arthur Wittenburg 用 SciSpace 在提交前审查已写好的学位论文,先以熟悉的文献综述测试,自评约 80–85% 的相关文献被识别,并称输出结构优于自己以往做法。SciSpace 将论文评估分为方法论、文献与整体三个视角,他把评估 PDF 分享给约 30–35 人的博士同侪。最受控的用法是接入 Zotero 库并限定只用库内来源,核查理论部分对文献与引文的解读是否一致。
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博士生 Arthur Wittenburg 用 SciSpace 在提交前审查已写好的学位论文,先以熟悉的文献综述测试,自评约 80–85% 的相关文献被识别,并称输出结构优于自己以往做法。SciSpace 将论文评估分为方法论、文献与整体三个视角,他把评估 PDF 分享给约 30–35 人的博士同侪。最受控的用法是接入 Zotero 库并限定只用库内来源,核查理论部分对文献与引文的解读是否一致。
ScholarSeed AI Team 在 arXiv 发布预印本,提出 ScholarStack 分层研究资产框架,把论文集合编译为三层可复用、带版本与溯源信息的资产:L1 源文献事实、L2 领域组织、L3 跨论文限定范围综述,并通过统一访问接口按任务返回所需证据粒度的知识视图。
播客好友 @stevenbjohnson 展示了他最喜欢的一项 Notebook 移动应用用法 🤯
The camera feature in the @Gemini_Notebook mobile app is so transformative for on-the-go research. I was up in the Sierras working on a new project, and I just took photos of everything, like this museum display. Then I asked for a detailed report of all the info in the image. The text below is what I got back. (I fact-checked it myself and it was 99% accurate -- and some of the text it transcribed is so blurry in the image that it was hard for me to read it.) Next step is to generate documents like this for all the photos I took, and then ask Notebook to highlight all the information that adds something new to the existing knowledge base of sources I've already collected, or is particularly relevant to my latest writing and outline for the project. Truly magical. Mariposa Museum Exhibit Reference: Mariposa in 1859 & Gold Rush Era This reference document consolidates all text, photographic captions, historical statistics, newspaper clippings, and exhibit overlays displayed on the Mariposa Museum exhibit panel regarding Mariposa during and after the Gold Rush. 1. Exhibit Overview & Key Headlines Main Title: "THIS WAS MARIPOSA IN 1859 – ONLY 10 YEARS AFTER THE GOLD RUSH BEGAN." Historical Context Sub-headline: "PORTIONS OF THE TOWN HAD BEEN REBUILT AFTER THE FIRE OF 1858.. & PARTS OF IT WERE DOOMED TO BE DESTROYED IN 1866" Display Overview: The exhibit centers on a large 1850s panoramic photograph of Mariposa, annotated with street names, landmark locations, and population statistics, flanked by contemporary hotel advertisements, fire reports, medical artifacts, and photographs of civic buildings. 2. Demographic & Real Estate Statistics (1850s vs. Present) MetricHistorical Value (1850s Gold Rush Peak)Modern Value Town Population~3,000 residents~1,800 estimated Entire Mariposa Diggings Area~15,000 residents— Commercial Establishments15 to 20 stores & saloons, plus hotels— Town Lot Prices00 to 00 per lot— 3. Background Photograph & Civic Infrastructure Background Photo Date: Taken in the 1850s, capturing the rapid growth of the settlement following the initial gold strike. 1854 Mariposa County Courthouse: Shown in the background panorama prior to the construction of its iconic clock tower. A separate framed photograph depicts the completed white wood-frame courthouse with a white picket fence and clock tower. Clock Tower History: The clock mechanism was imported from England and is an 8-day, manually wound instrument. It remains operational today, maintained by the Mariposa Public Works Department. Annotated Overlay Locations on Panorama: 1854 Courthouse: Located at the upper edge of town on Jones Street. Jones Street & Bullion Street: Upper residential and civic thoroughfares. Charles Street (Main Street): Primary commercial artery running through the center of the valley floor. Schlageter Hotel Site: Positioned along Main Street. Mariposa Creek: Flowing along the foreground basin of the town diggings. 4. The Fire of 1866: Mariposa's Second Great Conflagration Below is the complete transcript of the Mariposa Gazette report featured on the panel regarding the disaster of August 25, 1866 (following the earlier destructive fire of 1858): Article Text: "FIRE! MARIPOSA'S SECOND GREAT FIRE" A few minutes after 6 p.m. on Saturday, August 25, 1866 Mariposa was again ruined by a disastrous fire (first in 1858). According to the Gazette (the building was damaged but not destroyed), the fire was believed to have started when "a recently imported printer stepped inside the Free Press office and lighted a cigar. The match had evidently been dropped carelessly amongst the papers on the floor. The Free Press office was located near the corner of Main and 7th Streets and by ten minutes the fire had spread through two blocks. The fire crossed Main Street to the Odd Fellows building and the Methodist Church and soon the buildings on the block between 6th and 7th Streets were burning like so much chaff." Seven full blocks, except for four fire-proof buildings, were totally destroyed. "In one hour about 60 buildings and 77,000 worth of property were destroyed." By early Monday morning the men were clearing away debris and by press time the following Saturday, the Gazette reported that several temporary business structures had already been erected and were open for business. Inventory of Buildings Destroyed in the 1866 Fire: Residential & Civic: 14 Dwellings, 1 Church, 1 Odd Fellows and Masons Hall. Media & Printing: 1 Newspaper Office (Free Press), 1 Newspaper Depot. Hospitality & Retail: 3 Hotels, 5 Retail Stores, 1 Saddlery Shop, 9 Liquor Saloons (several equipped with billiard tables). Services & Trades: 2 Livery Stables, 3 Law Offices, 1 Drug Store, 3 Blacksmith Shops, 2 Carpenter Shops, 2 Shoemaker Shops, 1 Tailor Shop, 2 Butchering Establishments. Outbuildings: Numerous outhouses, private stables, and auxiliary structures. 5. Commercial Hotels & Lodging Gallison Hotel (1887 Advertisement) Location: Main Street, Mariposa (center of business district, opposite Odd Fellows' Hall). Proprietor: Winslow Gallison. Management: Mrs. Gallison individually superintended all internal departments of the hotel. Amenities: Newly furnished rooms, first-class table dining. Mariposa Hotel (1887 Card) Location: Corner of Main and Fifth Streets. Proprietor: Charles A. Schlageter. Target Market: Accommodated general travelers as well as Yosemite tourists on short notice. Amenities: Family rooms, well-lighted parlors, good table, and bath facilities. The Schlageter Hotel Date Built: Built in the 1850s. Architecture: Prominent two-story wooden structure featuring full upper and lower covered verandas. 6. Medical Artifacts & 19th-Century Therapeutics Old Mariposa Hospital A framed historical photograph depicts a two-story wood-frame hospital building with a prominent front porch and side wing (annotated "from Chic Allingham"). Dr. D. Jayne's Family Medicines (1880 Display Broadside) 1. Jayne's Specific for Tape-Worm Diagnosis: Describes tapeworm infections as widespread, noting that discharging white or yellowish segments ("resembling gourd seeds") is the only positive diagnostic proof. Pricing & Ordering: .00 per dose, shipped nationwide via mail from 242 Chestnut Street, Philadelphia. Usage Instructions: Dissolve powder in a pint of boiling water, drink in three equal hourly doses on an empty stomach. Follow with Cathartic medicines if bowels do not operate in three hours. 2. Dr. D. Jayne's Sanative Pills Formulation: Concentrated, sugar-coated pills. Sold in 50-pill boxes (-bash.25) or 15-pill specimen packets (-bash.10). Prescribed Ailments: Advertised for liver complaints, gout, jaundice, dyspepsia, rheumatism, kidney affections, fevers, nervousness, skin diseases, melancholy, sick headache, and costiveness (constipation). 3. Exhibit Commentary Note A small museum card mounted below the broadside reads: "A man advertises for 'a competent person to undertake the sale of a new medicine' and adds innocently 'It will prove profitable to the undertaker.'"
中国科学院计算机网络信息中心等团队发布 FootprintRAG,一个由 LLM 智能体驱动的可视化分析系统,用于基于 RAG 的科研文献探索中的证据上下文精炼。
Elicit 将 Library 升级为共享研究枢纽,让研究者和 AI 智能体基于同一批证据工作。Research Agent 可检索个人与共享集合中的论文、在回答中引用这些来源,并按要求把新论文直接保存到指定集合,例如把 7 篇论文存入某个集合。
入选理由Elicit 把个人文献库升级为团队共享证据库,研究者可据此判断团队文献管理方式是否需要调整。
蒙特利尔大学团队在 arXiv 发布预印本,提出面向系统综述筛选自动化的基准框架 SRBench,包含来自 32 项二级研究的 45064 条已标注条目,并采用 MCC 和 BAcc 等考虑类别不平衡的指标。
Consensus 宣布把覆盖 220M+ 同行评审论文与预印本的检索能力接入 ChatGPT 和 Claude 的应用目录,用户可在对话中直接获取可打开、可按研究类型或期刊质量筛选并引用的论文,免费起步,只需 Consensus 账号。
入选理由Consensus 把文献检索接入 ChatGPT、Claude 和 Copilot,研究者可在原有对话与写作流程中直接调取论文并查看出处。
Consensus 发布夏季更新,将产品从搜索引擎扩展为可规划并执行多步研究任务的工作区,支持语义检索、论文检索、DOI 查询和引用图谱遍历,并展示每一步的完整执行轨迹。
入选理由Consensus 把检索、引用溯源和文献管理整合进同一工作区,研究者可据此判断它能否替代现有的文献检索与筛选流程。
Scite MCP 新增 citation_graph 工具,让 ChatGPT、Claude 等 AI 智能体从一篇论文出发,向前追溯其参考文献、向后查找引用它的后续研究,并支持跨多篇论文分析共同引用、共被引和文献耦合。
入选理由Scite 把引文关系接入 AI 智能体,研究者可让智能体沿引用链前后追溯文献,而不只依赖关键词检索。
Elicit 公布其与 Exa、Perplexity、Brave、Parallel 在 BioASQ 生物医学检索基准(5,486 个问题)上的对比结果,称在可公平比较的各结果深度上召回率最高。
Elicit 表示,在 BioASQ 基准上对比 Elicit 与多个网页搜索引擎,Elicit 得分最高,检索到的论文数量多于其他参与对比的系统。该结果来自 Elicit 自行开展的对比,详情见其博客 https://elicit.com/blog/comparing-elicit-to-web-search-apis。
We compared Elicit on BioASQ to various web search engines. Elicit scored the highest amongst all of them, retrieving the most papers on the benchmark compared to any other. See our blog post in the next tweet
Elicit 推出 Collaborative Sessions,多名研究者可围绕同一 AI 智能体和共享上下文协作,队友能在产出物上评论、直接请求修改、自行与智能体交互,或另开侧线程探索问题而不打断主流程。该功能现面向 Scale 和 Enterprise 机构开放,官方称工作全程保留完整历史记录。
Elicit 推出 Skills 功能,团队可把选源标准、评估准则和产出要求固化为可重复使用的研究流程,用于生成科学报告或方案、按团队标准评估证据、统一接入可信数据源。Elicit 还内置了基于行业最佳实践的预置 Skills,覆盖证据综合、领域概览、安全性、策略、研究设计、写作和审稿,团队也可自建。Skills 面向 Pro 及以上订阅用户开放。
Scite 发布 2026 年 8 月更新,用户可通过一键操作把 Scite 接入 ChatGPT 或 Claude,无需手动配置服务器 URL,接入后为 AI 助手提供引用语境与文献证据;其他兼容 MCP 的工具也提供了配置指南和技术说明。
入选理由Scite 把引用语境接入 ChatGPT 和 Claude,并支持导入 Zotero 群组库,研究者可据此判断它能否嵌入现有文献工作流。
Elicit 上线 Skills、Collaborative Sessions、artifact editing 和 Shared Projects 四项功能,让研究者与 AI 智能体在同一环境中协作。
Scopus 在 2026 年 8 月上线两项 AI 检索功能:AI Query Builder 把自然语言问题拆解为概念与关键词并生成可编辑的嵌套布尔查询,Semantic Search 用向量嵌入做语义检索并返回前 100 条结果。
Google Scholar 推出 Scholar Quick Read,在 Scholar Labs 和 Scholar 搜索结果中为深入讨论用户问题的论文提供 Quick read 链接,点击后可看到针对该提问的简短呈现,包含概览以及 Answers、Approach、Considerations 三个部分。
入选理由Google Scholar 把论文按用户提问拆成答案、方法与注意事项三部分,研究者可据此判断能否减少逐篇通读的时间。
Elicit 发布直播回放“Using Elicit to Make More Rigorous Decisions”,由 Elicit Research Agent 产品负责人 Kadir Annamalai 演示多步骤工作流。演示涵盖整合论文与临床试验之外的多元证据、处理复杂且相互冲突的发现、以方法和引用保持过程透明,以及产出可执行的交付物。
证据综合馆员在构建 PubMed 检索智能体时可能具有真实优势,因为他们知道什么算好的检索实践、哪里会出错、哪些取舍重要,但这种优势不会自动迁移到法律推理、医学或工程领域。
Elicit 在生物医学检索基准 BioASQ 的 5,486 个问题上取得最高召回率,50 篇结果时达 60.3%,高于次优系统的 40.3%。该评测将 Elicit 与 Exa、Brave、Parallel、Perplexity 四款网页搜索 API 对比,后者被限制在 PubMed 与 PubMed Central 范围内以保证公平。
FutureHouse PaperQA 发布 v2026.08.12,为原始 nemotron-parse 输出新增 NemotronParseBBox.to_original_coordinates,并修复 PyMuPDF 类型问题、清理 evidence-summary JSON 系统提示中的重复“words”。
Digital Science 发布 Dimensions Semantic Search MCP、Dimensions Analytics MCP 和 Altmetric MCP,通过 Model Context Protocol 把 LLM 连接到结构化科研数据,返回带完整出处的可验证、可引用结果。
入选理由Digital Science 把 Dimensions 与 Altmetric 的数据接入 MCP,研究者可用自然语言查询并拿到带出处的可引用结果。
图书馆员 Aaron Tay 在 Substack 发文提出,面向研究者和图书馆员的常见建议——只用大语言模型头脑风暴检索词、再由人自己去数据库执行——应当反过来:先用 Undermind、Elicit、Consensus、Scite Assistant 或前沿聊天机器人的 deep research 模式等 AI 检索工具真正检索并阅读论文,之后再从已找到的文献中收集关键词。
K-Dense Web 新增 92 种科研文件的原位富预览,覆盖 3D 结构、化学文件、光谱、测序数据、医学影像与笔记本,并支持 Word、PowerPoint、Excel。
Scite 在 7 月更新中把 Feed 和 Alerts 合并为统一的 Research Feed,关注的科研人员、主题和论文更新汇入同一信息流,并新增集中展示已保存收藏集动态的 Collections feed。
作者为 Primo 发现系统自建 MCP 服务器,让 LLM 通过智能体式检索推荐学科馆员,试图取代依赖关键词匹配的 LibGuides、Summon Best Bets 等传统方案。
Aaron Tay 在 Musings about Librarianship 撰文指出,AI 搜索正把原本分散在不同专业层与职业中的搜索活动重新打包,使各传统对"搜索何为成功"的分歧更难被忽视。
Elicit 公布其论文检索在 BioASQ 生物医学检索基准上的评测结果,在 5,486 道题、前 50 条结果的平均召回率为 60.3%,高于其余五款被测系统,其中次优的 OpenAlex 关键词检索为 47.4%。
Elicit 发布 API 和 MCP 服务器,把检索、报告和系统综述三项能力开放给外部调用,Pro 及以上订阅用户今天即可使用。
入选理由Elicit 把检索、筛选、提取和系统综述拆成可编程调用的接口,研究者可据此把证据综合接入自建流程。
ResearchRabbit 发布更新,新增阅读清单功能,可暂存待读和已开始阅读的文章,未加入收藏集时也会保存在 Library 的 Reading List 中。文献地图和结果首页的展示数量现可选 10、20 或 40 篇,默认仍为 20 篇。ResearchRabbit+ 用户还会看到与 Signals 合作标注的高风险论文提示,依据引用行为和引用网络评估。