academic-research-graph
Run the following command in DeepSeek Harness:
dsh plugin install watericetangcw/academic-research-graph
Paste the following prompt into your AI chat to install this plugin:
In DeepSeek Harness, install the plugin with the command 'npx @deepseek-ai/dsh plugin install https://github.com/watericetangcw/academic-research-graph'.
About this plugin
Tracing the complete literature behind a paper or concept in academic research can be time-consuming and complex, often requiring manual review of numerous citations to grasp idea evolution and disputes. The Academic Research Graph plugin addresses this by automatically transforming isolated papers or concepts into a vivid, interactive map, allowing researchers to easily visualize the main intellectual lineage, key conflicts, and code implementation details.
Its core capability lies in intelligently generating an explorable research map: users input a paper, academic term, or GitHub repository, and the plugin analyzes related literature to output an interactive page with clickable nodes, relationship edges, paper guides, and metadata. It excels at revealing idea origins, subsequent extensions, and genuine academic disagreements—for instance, distinguishing papers that merely cite a benchmark from those that actually use it—and directly links paper methods to code implementations, helping users deepen understanding without reading every PDF.
This plugin is designed for academic researchers, students, and developers. Researchers can use it to quickly outline field trajectories and avoid information overload; students can leverage the map to aid learning, understanding paper backgrounds and significance; developers can verify and reuse existing work more efficiently through the paper-code connection. Whether exploring a new concept or delving into a controversy, Academic Research Graph provides an intuitive, continuously expanding navigation tool.
Screenshots
Use Cases
- Explore paper background and evolution
- Trace academic concept controversies
- Connect code with paper implementations
Best For
- Academic researchers
- Students and educators
- Developers and engineers
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