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deep-research

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Original

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Translation

Chinese
Research "$ARGUMENTS" in depth using the 
paper
and 
paper-search
CLI tools. Follow this workflow:
使用
paper
和
paper-search
CLI工具深入研究「$ARGUMENTS」。遵循以下工作流：

1. Broad Discovery

1. 广泛探索

Start with broad searches to map the landscape:
paper-search google web "$ARGUMENTS"
paper-search semanticscholar papers "$ARGUMENTS" --limit 10
Scan titles, snippets, and citation counts. Identify the most relevant papers and key terms.
从广泛搜索开始，梳理研究版图：
paper-search google web "$ARGUMENTS"
paper-search semanticscholar papers "$ARGUMENTS" --limit 10
浏览标题、摘要片段和引用次数，确定最相关的论文和关键术语。

2. Narrow and Filter

2. 缩小范围与筛选

Refine based on what you found:
paper-search semanticscholar papers "<refined query>" --year 2023-2025 --min-citations 10
paper-search semanticscholar snippets "<specific question>"
paper-search pubmed "<query>"   # if biomedical
根据前期发现优化搜索：
paper-search semanticscholar papers "<refined query>" --year 2023-2025 --min-citations 10
paper-search semanticscholar snippets "<specific question>"
paper-search pubmed "<query>"   # 若为生物医学领域

3. Deep Read

3. 深度阅读

For the most relevant papers (at least 3-5), read in depth:
paper outline <arxiv_id>           # understand structure first
paper skim <arxiv_id> --lines 3    # quick overview
paper read <arxiv_id> <section>    # read key sections
For web sources:
paper-search browse <url>
针对最相关的3-5篇论文进行深度阅读：
paper outline <arxiv_id>           # 先了解论文结构
paper skim <arxiv_id> --lines 3    # 快速概览
paper read <arxiv_id> <section>    # 阅读关键章节
针对网页来源：
paper-search browse <url>

4. Follow the Citation Graph

4. 追踪引用图谱

For key papers, explore their context:
paper-search semanticscholar citations <paper_id> --limit 10    # who cites this?
paper-search semanticscholar references <paper_id> --limit 10   # what does it build on?
paper-search semanticscholar details <paper_id>                  # full metadata
针对核心论文，探索其研究脉络：
paper-search semanticscholar citations <paper_id> --limit 10    # 哪些文献引用了这篇论文？
paper-search semanticscholar references <paper_id> --limit 10   # 这篇论文基于哪些研究？
paper-search semanticscholar details <paper_id>                  # 完整元数据

5. Synthesize

5. 综合整理

Combine findings into a structured report with:
  • Key findings and themes
  • Areas of agreement/disagreement
  • Gaps in the literature
  • Citations for all claims (include paper titles and URLs)
  • BibTeX entries for key papers (use 
    paper bibtex <arxiv_id>
    to generate)
将研究发现整理为结构化报告，包含：
  • 关键发现与核心主题
  • 共识与争议点
  • 研究空白
  • 所有结论的引用来源（包含论文标题和URL）
  • 关键论文的BibTeX条目（使用
    paper bibtex <arxiv_id>
    生成）

Guidelines

注意事项

  • Always start broad, then narrow. Don't read deeply until you've scanned widely.
  • Read at least 3-5 primary sources before synthesizing.
  • Cross-reference web sources against academic papers when possible.
  • Use 
    paper-search semanticscholar snippets
    to find specific evidence for claims.
  • Track what you've already searched/read to avoid redundancy.
  • If a search returns arxiv papers, use 
    paper read
    to get the full text rather than just the snippet.
  • 始终从广泛搜索开始，再逐步缩小范围。在广泛浏览之前不要进行深度阅读。
  • 综合整理前至少阅读3-5篇原始文献。
  • 尽可能将网页来源与学术论文进行交叉验证。
  • 使用
    paper-search semanticscholar snippets
    为结论查找具体证据。
  • 记录已完成的搜索和阅读内容，避免重复工作。
  • 若搜索结果包含arxiv论文，使用
    paper read
    获取全文而非仅摘要片段。