Search academic papers using Semantic Scholar's database with boolean operators, year filters, field restrictions, and citation thresholds to find relevant research.
Search academic papers using Semantic Scholar by specifying query, filters like open access PDFs, citation count, year, venue, and fields for tailored results. Retrieve formatted outputs for research purposes.
Enables searching for upcoming academic conferences and events from WikiCFP by keywords, returning detailed information including dates, locations, submission deadlines, and related resources.
Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.
Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.