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alpha-research

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Alpha Research CLI

Alpha Research CLI

Use the 
alpha
CLI via bash for all paper research operations.
通过bash使用
alpha
CLI完成所有论文研究操作。

Commands

命令

CommandDescription
alpha search "<query>"
Search papers. Prefer 
--mode semantic
by default; use 
--mode keyword
only for exact-term lookup and 
--mode agentic
for broader retrieval.
alpha get <arxiv-id-or-url>
Fetch paper content and any local annotation
alpha get --full-text <arxiv-id>
Get raw full text instead of AI report
alpha ask <arxiv-id> "<question>"
Ask a question about a paper's PDF
alpha code <github-url> [path]
Read files from a paper's GitHub repo. Use 
/
for overview
alpha annotate <paper-id> "<note>"
Save a persistent annotation on a paper
alpha annotate --clear <paper-id>
Remove an annotation
alpha annotate --list
List all annotations
命令说明
alpha search "<query>"
搜索论文。默认优先使用
--mode semantic
；仅在需要精确术语查找时使用
--mode keyword
，如需更广泛的检索则使用
--mode agentic
。
alpha get <arxiv-id-or-url>
获取论文内容及本地注释
alpha get --full-text <arxiv-id>
获取原始全文而非AI生成的报告
alpha ask <arxiv-id> "<question>"
针对论文PDF提出问题并获取解答
alpha code <github-url> [path]
读取论文关联GitHub仓库中的文件。使用
/
查看仓库概览
alpha annotate <paper-id> "<note>"
保存论文的持久化注释
alpha annotate --clear <paper-id>
删除注释
alpha annotate --list
列出所有注释

Auth

认证

Run 
alpha login
to authenticate with alphaXiv. Check status with 
feynman alpha status
, or 
alpha status
once your installed 
alpha-hub
version includes it.
运行
alpha login
以通过alphaXiv进行身份验证。可使用
feynman alpha status
检查状态，若已安装的
alpha-hub
版本包含该功能，也可直接使用
alpha status
。

Examples

示例

bash
alpha search "transformer scaling laws"
alpha search --mode agentic "efficient attention mechanisms for long context"
alpha get 2106.09685
alpha ask 2106.09685 "What optimizer did they use?"
alpha code https://github.com/karpathy/nanoGPT src/model.py
alpha annotate 2106.09685 "Key paper on LoRA - revisit for adapter comparison"
bash
alpha search "transformer scaling laws"
alpha search --mode agentic "efficient attention mechanisms for long context"
alpha get 2106.09685
alpha ask 2106.09685 "What optimizer did they use?"
alpha code https://github.com/karpathy/nanoGPT src/model.py
alpha annotate 2106.09685 "Key paper on LoRA - revisit for adapter comparison"

When to use

使用场景

  • Academic paper search, reading, Q&A → 
    alpha
  • Current topics (products, releases, docs) → web search tools
  • Mixed topics → combine both
  • 学术论文搜索、阅读、问答 → 使用
    alpha
  • 当前热点话题（产品、发布、文档） → 使用网页搜索工具
  • 混合话题 → 结合两者使用