Search is one entry point into NeuralScio, not the whole product. The desktop value also comes from saved papers, your own PDFs, local library workflows, citation exploration, and reading — especially during Public Alpha.
Public Alpha note
Free Local Alpha does not include NeuralScio-managed hosted search or cloud AI credits. Provider availability may depend on cached content, user configuration, public APIs, or future managed cloud access. Cached and saved work remains the strongest local path.
Implemented Search Surface
NeuralScio searches across 10+ scholarly sources. The registered adapters include:
- arXiv
- bioRxiv
- medRxiv
- PubMed
- Semantic Scholar
- OpenAlex
- Crossref
- Europe PMC
- IEEE Xplore
- ACM Digital Library
- ChinaRxiv
- SovietRxiv
Why The Search Surface Matters
One query, several sources
The product can query several sources from one desktop surface instead of forcing researchers to rebuild the same search across multiple tabs and sites.
Search hands off into the rest of the workflow
After search, you can:
- save useful papers into the saved library
- open PDFs or article views
- move into citation graph exploration
- use AI on top of the active research context
Practical Search Guidance
1. Use several providers when coverage matters more than speed. 2. Prefer open-access-heavy providers when you want fast PDF continuity. 3. Treat metadata-heavy providers as strong discovery inputs even when full text is restricted. 4. Save relevant results quickly so the offline and local-library workflow becomes available.
Offline Note
Provider search itself still needs the network. Offline continuity starts after you have already saved or cached the material.