Traversing Citation Networks

Traverse citation networks via Semantic Scholar with depth-limited BFS and relevance filtering.

118|12|Updated Oct 11, 2025
One-click install
npx skills add https://github.com/kthorn/research-superpower --skill traversing-citation-networks
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Traversing Citation Networks
Source: https://github.com/kthorn/research-superpower/tree/main/skills/research/traversing-citations
Command: npx skills add https://github.com/kthorn/research-superpower --skill traversing-citation-networks

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually following citations can lead to an overwhelming "citation explosion" of irrelevant papers. This skill intelligently filters and deduplicates citations to find only the most relevant related work, saving you from information overload.

Core Features & Use Cases

  • Smart Traversal: Explores both backward (references) and forward (citing papers) citations using Semantic Scholar.
  • Relevance Filtering: Scores citations based on context, keywords, and intent to prioritize the most pertinent papers.
  • Automatic Deduplication: Prevents re-processing of already reviewed papers, ensuring efficiency.
  • Use Case: After identifying a highly relevant paper, ask Claude to "find papers that cite this one, and also its key references." This skill will then intelligently explore the citation network, presenting you with a curated list of related research without overwhelming you with irrelevant results.

Quick Start

Example: Explore citations for a specific paper

"Explore the citation network for the paper with DOI 10.1234/example.2023."

Frequently Asked Questions about Traversing Citation Networks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I avoid citation explosion when exploring related research?

Citation explosion happens when manually following references overwhelms you with irrelevant papers. This skill intelligently filters and deduplicates citations using relevance scoring and traversal limits, presenting only the most pertinent related work from Semantic Scholar without information overload.

How do I find papers that cite a specific research paper?

Forward citation traversal retrieves papers citing your reference by querying Semantic Scholar via DOI. This skill explores forward citations alongside backward references, automatically deduplicating results and scoring them for relevance to your research topic.

What's the best way to build a citation graph for a research topic?

Citation graphs map connections between papers using depth-limited BFS traversal. This skill constructs graphs by exploring both citing papers and references, maintaining forward/backward state, filtering by relevance, and preventing duplicate processing to build a curated network efficiently.

Can I use citation network traversal to find related work after identifying one key paper?

Yes. After finding a highly relevant paper, this skill explores its citation network by retrieving key references and papers that cite it from Semantic Scholar, then deduplicates and ranks results by relevance to your research intent.

What limits exist on citation network depth and scope?

This skill enforces traversal limits and depth constraints to prevent overwhelming result sets. It uses relevance filtering and deduplication to maintain efficiency, ensuring you explore only focused, high-quality citation paths rather than exhaustive network traversal.