About This Site
An AI workspace for literature reviews, research evidence, and academic writing NNScholar is an AI research workspace for literature discovery, PDF reading, evidence tracking, academic writing, and submission preparation. It brings papers, notes, conversations, evidence, tasks, and drafts together in research projects. Users can search scholarly sources, import references, screen papers with AI, chat with PDFs, trace claims to sources, and use research agents and academic skills to advance their work. WebUse is available in a browser, while the website describes Desktop as an option for long-running research projects; its pricing page notes that macOS and Windows downloads are currently unavailable.
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Key Features AI
Core Features
Multi-source scholarly search and AI paper screening
Research projects that connect sources, notes, conversations, tasks, and outputs
PDF chat, translation, annotation, and cross-document question answering
Evidence boards linking claims to sources, confidence, risks, and decisions
Citation tracing through references, related papers, and topic updates
AI research agents for organizing evidence, checking sources, and advancing drafts
Academic skills for research planning, writing, figures, journal selection, and reviewer responses
Advantages
Connects literature search, PDF reading, evidence management, and writing in one workspace
Can link answers and claims back to source passages or papers
Supports importing references by DOI, PMID, or arXiv identifier
Offers research agents and reusable academic workflows
Uses a shared credits balance across WebUse and Desktop workflows
缺点：The pricing information does not specify the amount of free credits available
缺点：Credits have a rolling validity period, and plan allowances differ
缺点：The pricing page says macOS and Windows Desktop downloads are currently unavailable
缺点：The provided content does not explain the credit cost of most individual tasks
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