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Research Explained

Interactive explainer pages for AI research papers. Every technical term defined, every concept grounded in analogy.

Pages

Paper Link Published
LoRA: Low-Rank Adaptation of Large Language Models Read the explainer June 2021
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory Read the explainer April 14, 2026
Fast KV Compaction via Attention Matching Read the explainer April 13, 2026
Avatar V Read the explainer April 13, 2026

Claude Code Skill

The skill/ directory contains a Claude Code skill that generates these pages from a paper URL.

Install

npx skills add https://github.com/terencecho/research-explained --skill skill

Use

In Claude Code, provide a paper URL:

/research-explainer https://arxiv.org/pdf/some-paper.pdf

Or just say "explain this paper" with a PDF link.

What it produces

  • Single-file HTML page with all CSS/JS inline
  • Sticky sidebar table of contents with scroll tracking
  • Hover tooltips on every technical term
  • Searchable glossary panel
  • Real-world analogies for each concept
  • Styled architecture diagrams and pipeline visualizations
  • HyperFrames motion graphics for concepts hard to explain with text
  • Embedded demo videos from the paper's project page
  • Interactive Turing test (if applicable)
  • Comprehension quizzes
  • Deployable to GitHub Pages

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Interactive explainers for AI research papers

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