research-wiki

You can build a knowledge graph from research papers by ingesting publications into a wiki, which automatically creates node pages and establishes typed relationships between ideas, experiments, and claims. This process structures your research materials into a persistent, navigable network.

The best way to organize arXiv papers is to ingest them into a centralized research wiki that tracks papers, ideas, experiments, and claims. This creates a persistent index and graph storage with automatic connections, enabling easy recall and cross-linking across the entire project lifecycle.

You ingest papers using the ingest subcommand with a paper title, which creates a node page and automatically establishes typed relationships within the knowledge graph. This connects the new paper to existing ideas, experiments, and claims stored in the wiki.

Yes, you can query and update a knowledge base of research claims and experiments using dedicated subcommands. These commands allow you to search the graph, update existing pages, run lint checks for consistency, and view stats to keep your research materials current across teams.

Yes, the research wiki supports graph storage using a graph/edges.jsonl file to manage relationships. It satisfies schema requirements for pages like papers, ideas, experiments, and claims, ensuring structured cross-linking and navigability across the knowledge base.

Tracking papers, ideas, and claims requires a schema that defines specific page types and a graph storage file like graph/edges.jsonl. This schema ensures that ingested papers and related research elements are properly structured and cross-linked within the knowledge base.