@neural_avb: This is how I discover and study multiple papers at once: - PaperBD study page, ask any question - AI has full paper DB…
Summary
A Twitter post introduces PaperBD, an AI-powered tool that enables simultaneous study and questioning of multiple research papers, with full-text access, multi-PDF view, and automatic study goals.
View Cached Full Text
Cached at: 06/02/26, 03:43 PM
This is how I discover and study multiple papers at once:
- PaperBD study page, ask any question
- AI has full paper DB access, web search, etc… gets answers fast
- Ask quick questions about a paper - it accesses the full text from the paper
- Deep study multiple papers with Multi PDF view!
- Automatic study goals!
- Answers and cross references exact sections relevant to your query
- Clicking on reference jumps and highlights the exact section into the PDF
References are color coded according to paper!
Similar Articles
@neural_avb: One of my fav Paper Breakdown feature is to be able to jump to the exact location of the PDF that the LLM gathered it's…
The tweet highlights a Paper Breakdown feature that allows users to jump to the exact location in a PDF where an LLM gathered information, providing distilled answers with direct paragraph links for single or multi-paper sessions.
I Built Paper Deck: A Better Way to Discover AI/ML Papers [P]
An open-source tool called Paper Deck that aggregates AI/ML papers from arXiv and Hugging Face, allowing reading, starring, and cross-device progress tracking.
@DanKornas: If you’re trying to follow AI agents for research, the hard part is not one paper — it’s the whole lifecycle. Awesome A…
A curated GitHub resource that maps AI-assisted scientific research tools and papers across the full research lifecycle, from idea generation to dissemination.
@_ar9av: day 6 of reading one arxiv paper around AI every day and sharing what actually stuck: AutoSci (Peking University) tldr:…
A tweet sharing AutoSci, a system from Peking University that automates the entire research lifecycle from literature review to rebuttal, with self-improvement between projects.
@_akhaliq: paper:
A paper introducing Arbor, an AI framework that enables autonomous scientific research by combining strategic coordination, isolated hypothesis testing, and a persistent knowledge tree to iteratively improve research outcomes across multiple domains.