cicadus
Introducing Cicadus
Academic research has always moved forward on the shoulders of prior work, but finding those shoulders, understanding why they matter, and identifying what is missing is still painfully manual. Cicadus is built to change that.
Cicadus is an AI-powered literature review and citation analysis platform designed for researchers, graduate students, and academics who need to understand not just what literature says, but how it connects and where genuine research opportunities exist.
Traditional literature review workflows rely on fragmented keyword search, manual citation chasing, and weak visibility into the structure of ideas. Cicadus treats research literature as a system, not a list, so you can reason across papers with clarity instead of stitching context together by hand.
The core breakthrough is citation logic classification: when one paper cites another, Cicadus helps reveal whether that citation reflects support, critique, extension, methodology, or application. That shift turns literature review from retrieval into structured analysis.
The literature review crisis nobody talks about
The hardest part of research is not collecting papers, it is building a defensible map of the field. Existing workflows make that map fragile and incomplete. Research gaps are rarely isolated statements in one source; they emerge from the structure of the system as a whole.
What Cicadus actually does
Start with a focused question or upload a core paper. Cicadus semantically maps the research landscape, helps you anchor on a central work, classifies citation relationships, and surfaces reasoning structure through interactive and source-grounded outputs.
Built for researchers who think in systems
For graduate students, Cicadus accelerates thesis and coursework review. For PhD scholars, it strengthens novelty positioning and defensible contribution claims. For academic leads, it improves consistency and rigor across team literature synthesis.
Start exploring Cicadus