Research collection of Arxiv whitepapers [R]

2026-06-07 · Source: Machine Learning · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Research Methodology & Innovation · Depth: Intermediate, quick

Summary

A user has compiled and made public an online research collection of approximately 1700 Arxiv whitepapers, initiated after the launch of ChatGPT. This extensive vault, accessible at inquiringlines.com, was initially organized into around 90 categories that emerged organically from paper topics. The creator utilized an Obsidian plugin to generate topic notes featuring built-in and outbound wikilinks, connecting papers based on shared concepts. A further layer of synthesis, termed "Inquiring Lines," has been added, comprising 6,000 distinct pages that describe cross-cutting, tension-surfacing, and frontier-opening research frames. Each Inquiring Line page also provides prompts for users to discover related and more recent research, acknowledging the challenge of continuous manual updates. The collection primarily focuses on Arxiv papers but includes some non-archival content, though this feature is not publicly available due to API costs.

Key takeaway

For research scientists or machine learning engineers seeking to navigate the vast landscape of AI whitepapers, this curated collection offers a valuable resource. You can explore 1700+ Arxiv papers and 6,000 "Inquiring Lines" to quickly grasp cross-cutting themes and identify research frontiers. Utilize the embedded prompts within "Inquiring Lines" to efficiently discover more recent and related studies, saving significant time in your literature review process.

Key insights

A curated, interconnected collection of 1700+ Arxiv papers and 6,000 "Inquiring Lines" offers a synthesized view of AI research.

Principles

• Research organization benefits from emergent categorization.
• Interlinking concepts enhances discoverability.
• Synthesizing cross-cutting themes reveals research frontiers.

Method

The creator collected Arxiv excerpts, categorized them into 90 topics, then used a plugin to create wikilinked topic notes. A final layer of 6,000 "Inquiring Lines" provides synthesized research frames with prompts for further discovery.

In practice

• Explore "Inquiring Lines" for synthesized research frames.
• Use provided prompts to find newer, related research.
• Consider emergent categorization for personal knowledge bases.

Topics

• Arxiv Research
• Knowledge Management
• Obsidian Vault
• AI Research Synthesis
• Wikilinks
• Research Discovery Tools

Best for: AI Scientist, Machine Learning Engineer, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Machine Learning.