Citation Neighborhood Walker
Given a seed paper, build a 2-hop citation graph and rank neighbors by relevance to a given thesis — a literature survey that's actually grounded.
🧠 Why it works
A well-chosen seed paper is a better search oracle than keywords because its bibliography encodes what the author thought was relevant. Walking the citation graph inherits that expertise. Limiting to 2 hops keeps the result set tractable; thesis-scoring keeps it on-topic.
⚙️ How it works
- Fetch the seed's bibliography via OpenAlex / Semantic Scholar / Crossref. 2. For each cited paper, fetch its bibliography (2nd hop). 3. Deduplicate the combined set and pull abstracts. 4. For each unique paper, prompt the LLM with (thesis, paper abstract) and a 1-5 relevance score rubric. 5. Return the top N papers sorted by relevance with a one-line rationale each, and a graph file (DOT or JSON) of the citation neighborhood for visualization.
Description
Input: a seed DOI and a thesis statement. Output: a ranked list of papers in the 2-hop citation neighborhood (papers the seed cites, plus papers those cite), scored by LLM-judged relevance to the thesis. Designed to replace the dice-roll of keyword search when you already have one good anchor paper.
Install this skill
A Claude skill is a skill.md file with YAML frontmatter and a markdown body.
Drop the file into your tool of choice — or pick a different format if you use Cursor, Windsurf, Copilot, or something else.
mkdir -p ~/.claude/skills/citation-neighborhood-walker \
&& curl -L https://aidiveforge.com/skill/citation-neighborhood-walker.skill-md \
-o ~/.claude/skills/citation-neighborhood-walker/skill.md
Save to ~/.claude/skills/citation-neighborhood-walker/skill.md
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