Research Articles builds a graph-native structural map of a field: typed edges, entropy scoring, citation chains, and convergence anchors that surface its Living Profile; where it came from, where it's converging, and where the open gaps are. It reasons over the full corpus structurally, not a synthesis of what individual papers say, surfacing patterns no amount of reading would reveal.
View Reports200M+ papers with citation graphs and reference chains
Primary36M+ biomedical and life sciences articles with MeSH classification
Peer-Reviewed2.4M+ preprints across STEM with full-text access
Preprints250M+ works with concept tagging and institutional data
Open AccessCode repositories, READMEs, and technical documentation from public projects
Code & DocsML model cards, dataset descriptions, and research artifacts from the open-source AI ecosystem
AI / MLResearch Articles finds bridges between research areas. Enter 2 or 3 topics — like “formative assessment” or “circadian rhythm” — and Research Articles pulls hundreds of papers from six sources, builds the concept graph, and maps where the fields converge.
Running multiple intersections? Learn how repeated runs become a research roadmap →
Typical run time: 10 to 17 minutes, depending on how many sources your topic surfaces. The engine reads the corpus in three passes; you can leave this page open and the run continues.
Add your own papers — click or drag in PDFs, .docx, or .txt files to merge into the corpus alongside your topic search
Enter at least 2 research topics
Evaluate Research Articles on a real question. Request a Try-It code and run the engine yourself: 2 runs, on the house.
Operate the engine within a defined field of use.
Run the engine sealed inside your own confidential-compute environment.