Researchers struggle to efficiently locate and manage relevant literature within the exponentially growing body of scientific publications. We present \textsc{WisPaper}, an intelligent academic retrieval and literature management platform that addresses this challenge through three integrated capabilities: (1) \textit{Scholar Search}, featuring both quick keyword-based and deep agentic search modes for efficient paper discovery; (2) \textit{Library}, a customizable knowledge base for systematic literature organization; and (3) \textit{AI Feeds}, an intelligent recommendation system that automatically delivers relevant new publications based on user interests. Unlike existing academic tools, \textsc{WisPaper} provides a closed-loop workflow that seamlessly connects literature discovery, management, and continuous tracking of research frontiers. Our multilingual and multidisciplinary system significantly reduces the time researchers from diverse backgrounds spend on paper screening and management, enabling them to focus on their core research activities. The platform is publicly accessible and serves researchers across academia and industry.

翻译：研究人员在指数级增长的科学文献中难以高效定位和管理相关文献。我们推出\\textsc{WisPaper}，一个智能学术检索与文献管理平台，通过三项集成功能应对这一挑战：(1) \\textit{学者搜索}，提供基于关键词的快速搜索和深度智能体搜索模式，以实现高效的论文发现；(2) \\textit{文献库}，一个可定制的知识库，用于系统化文献组织；(3) \\textit{AI推送}，一个智能推荐系统，可根据用户兴趣自动推送相关新发表文献。与现有学术工具不同，\\textsc{WisPaper}提供了一个闭环工作流，无缝连接文献发现、管理及研究前沿的持续追踪。我们的多语言、多学科系统显著减少了来自不同背景的研究人员在论文筛选和管理上花费的时间，使他们能专注于核心研究活动。该平台公开可用，服务于学术界和工业界的研究人员。