Academic Literature Synthesizer — Upload any paper (PDF) and the AI reads it, finds all prior work it builds on, maps the intellectual genealogy, identifies what's novel, and explains why it matters. Built for researchers, PhD students, and serious readers who need to understand where a paper fits in the larger conversation. $14/month.
AI Archaeology Lab analyzes academic papers and maps their intellectual lineage — where did this idea come from, what prior work does it build on, what's genuinely novel about it, and how does it connect to the broader conversation? When you upload a paper, the system: reads and understands it deeply, traces citations backwards and forwards (who did this paper cite, and who's cited it since), maps the intellectual genealogy (this paper builds on Turing's framework, which builds on Hilbert's problems), identifies the novel contribution (what does this paper actually add that's new), and explains the significance in plain language.
Upload any academic paper (PDF). Ollama reads the full paper — not just abstract. Understands methodology, results, discussion, and limitations. Extracts: research question, methods used, key findings, limitations, and the actual (not stated) contribution.
Builds a visual citation tree: this paper cites A, B, C. A itself cites D, E. The tree shows the intellectual lineage. Understand not just WHAT this paper builds on, but HOW — which specific ideas from prior work it uses and which it refutes or extends.
AI identifies what is genuinely novel in the paper: "Unlike prior work that assumed X, this paper shows Y by using methodology Z." Compares against cited work to articulate the delta. Identifies both the stated contribution and any unstated implications.
Who has cited this paper since publication? The genealogy extends forward: "This paper was cited by 847 subsequent papers. The major branches: 200 extended the methodology, 300 applied it to new domains, 47 criticized the approach."
After analysis, ask conversational follow-ups: "What did Smith et al. actually prove in 1998?" "Why does this matter for my field?" "What's the simplest version of this methodology?" Plain-language explanations that assume graduate-level knowledge but not specialist expertise.
Upload 5-10 papers on a topic, get AI-synthesized literature review: "Here's how these papers relate to each other, where they agree, where they conflict, and what the unresolved questions are." Jumpstart for actual literature reviews.
Enter a research area ("interpretability in large language models"). Get a synthesized overview: key papers, major debates, how the field evolved, current state of the art, and open questions. An AI-generated literature survey.
| Tier | Price | Includes |
|---|---|---|
| Free | $0 | 3 papers/month, basic analysis, genealogy map (2 levels) |
| Researcher | $14/month | Unlimited papers, deep analysis, full genealogy, forward citations, literature review builder |
| Lab | $49/month | Everything Researcher + topic overviews, team workspace, paper collections, citation export (BibTeX) |