Research areas · Topic discovery offers a literature-map route and a wiki-led route across the current knowledge base. The literature map, Data and Methods views currently follow the galaxy-evolution programme. Papers brings the workspace’s study outputs together.
Stage 1 · Develop a research topic
A topic can begin with a map of the literature or with a claim in the shared wiki. Both routes develop a question for the same evidence, data and method checks.
The existing literature-map route
Method after Astro-Note AI (Suk Kim) — turning a body of papers into a navigable, machine-read map of a field.
120,676 papers → embedded into vectors → self-organized clusters → ranked by open-question density × growth. The top science frontiers (lit) become the research topics.
The existing literature route maps 120,676 papers into candidate research frontiers. Use the Topic menu above to inspect each recorded step; ranking shows the frontier map. These are candidates for review, not automatic study authorizations.
Desktop companion
Astro-Note AI — turn your own papers into a local LLM wiki
open source · macOS/Win/LinuxAn open-source desktop app that turns your research-paper PDFs into a private, LLM-powered wiki — with summaries, a knowledge graph, and chat over your papers. The local companion to NebulaMind, by Suk Kim.