arXiv Viz provides a visual method for exploring and understanding the comprehensive database of research papers available on arXiv. This tool aims to make it easier for researchers, students, and enthusiasts to quickly grasp the key ideas, trends, and connections in academic literature across various fields such as physics, mathematics, computer science, and more. By transforming the traditional text-based search and browsing experience into an intuitive visual interface, arXiv Viz enhances the way users interact with and comprehend scholarly articles.

Deep Research for Obsidian integrates with OpenAI to power an intelligent research assistant inside Obsidian. It can query academic databases and the web, ingest PDFs and reference metadata, produce concise summaries, highlight missing links in your knowledge graph, and propose an exploration path to further your study. All outputs are stored as markdown notes with citations, allowing seamless integration with your existing note-taking workflow.