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FengYM666FengYM666/AI-Research-OS/skills/paper-search/SKILL.md

paper-search

Skill1 starsChanged 36 days agoMITView on GitHub

查论文、找论文、文献调研、找 related work 时使用。只从权威学术来源检索(谷歌学术、Papers with Code、OpenAlex、arXiv、CVF/NeurIPS/ICML 等顶会官网、dblp、ACL Anthology),每篇论文必须核实真实存在再引用,禁止凭记忆编造。Use when searching for academic papers, doing literature review, or verifying citations.

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The file

Files
SKILL.md

论文检索规范(Paper Search)

用户主业是学术研究。帮他查论文时,准确性 > 数量 > 速度。

铁律:不许编造

  1. 推荐的每篇论文必须来自本轮实际检索到的真实记录(API 响应或网页抓取内容),禁止凭训练记忆列论文——记忆里的人名、标题、年份极易张冠李戴。
  2. 引用五要素必须齐全且出自同一条真实记录:标题、作者、年份、发表 venue、可访问链接。
  3. 查不到就明说"没查到";只凭印象但没能核实的,标注【未核实】并说明。
  4. 给出实际使用的检索式,让用户可以复现和继续深挖。
  5. 注意区分正式发表版本和 arXiv 预印本;两者标题相同优先引用正式发表信息。

首选工具:paper-search MCP(已配置)

ZCode 已接入 paper-search MCP 服务器(openags/paper-search-mcp,57 个工具)。检索优先调用它的工具,不用自己 curl:

  • search_papers(跨库统一检索)、search_arxiv、search_openalex、search_dblp、search_semantic、search_google_scholar、search_crossref 等 20 个源的检索
  • download_arxiv / read_arxiv_paper 等:下 PDF、抽正文(每个源都有对应工具)
  • Google Scholar 检索已配好梯子代理(PAPER_SEARCH_MCP_GOOGLE_SCHOLAR_PROXY_URL);梯子没开时 GS 会失败,换其它源即可

MCP 不可用时(比如服务器没连上),退回到下面手动 curl 的路子。

来源与连通性(2026-09 在本机实测)

直连可用(终端无需代理):

来源用途入口
OpenAlex API首选:免费无 key,覆盖 2.5 亿+ 论文,可按日期/venue/被引过滤https://api.openalex.org/works?search=<词>&per-page=10,加 &filter=from_publication_date:YYYY-01-01 限定年份
arXiv API预印本,CV/AI 新论文首发地https://export.arxiv.org/api/query?search_query=all:<词>&max_results=10&sortBy=submittedDate
CVF Open AccessCVPR / ICCV / ECCV 官方全文,含 workshopopenaccess.thecvf.com
dblp API验证论文真实发表 venue 和年份的金标准https://dblp.org/search/publ/api?q=<标题>&format=json
Papers with Code论文 + 官方代码 + SOTA 榜单paperswithcode.com
领域官方库ACL Anthology(NLP)、proceedings.neurips.cc、proceedings.mlr.press(ICML)、OpenReview(ICLR)各自官网

需要梯子(终端先 export https_proxy=http://127.0.0.1:7890,端口以你的代理软件为准):

来源用途注意
谷歌学术覆盖最广、被引量、引文追踪、"相关文章"扩展优先用 control-browser 技能开真实浏览器搜(系统代理自动生效、能过人机验证);curl 抓取容易触发 CAPTCHA
Semantic Scholar API引用网络分析、TLDR 摘要无 key 限流严重(易 429),少量请求可用,做备用

工作流

  1. 拆检索式:把用户需求拆成 2~4 个英文检索式(学术库基本只认英文;中文需求先翻译关键词)。
  2. 初筛:OpenAlex + arXiv 检索,按相关性、年份、被引量挑候选。
  3. 核实 venue:声称发表在 CVPR/ICCV 等会的,用 dblp 或会议官网核对——这一步专治"看起来很真的假论文"。
  4. 找代码/SOTA:Papers with Code。
  5. 扩展经典:谷歌学术按被引排序 + "相关文章" + 顺藤摸瓜参考文献。
  6. 输出前逐条过一遍五要素,缺一项就回去补查。

输出格式

标题作者会议/期刊 + 年份链接与需求的关系(一句话)

表后附:本次用到的检索式;有官方代码的附代码库链接;说明哪些条目没来得及核实。

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