fmegahed/arxiv_control_charts

QE ArXiv Watch

Your AI-Powered Research Companion for Quality Engineering

 

Never miss a breakthrough. Get daily updates, AI summaries, and deep insights from the latest quality engineering research on arXiv.

What is QE ArXiv Watch?

QE ArXiv Watch automatically monitors arXiv for new research papers in quality engineering, then uses AI to extract structured insights from each paper. Whether you're a researcher staying current in your field or a practitioner looking for the latest methods, this tool helps you:

• —Save time - No more manual searching through arXiv
• —Understand faster - AI-generated summaries highlight key findings
• —Discover trends - Interactive analytics reveal publication patterns and emerging topics
• —Go deeper - Chat with any paper to ask specific questions about methodology or results

Key Features

Research Tracks

Quick Start

1. 1.Visit the live app
2. 2.Choose a research track that matches your interests
3. 3.Explore the Overview dashboard for key metrics and trends
4. 4.Dive deep into any paper using the Paper Deep Dive tab
5. 5.Chat with papers to ask specific questions about methods or results

How It Works

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│   Daily arXiv   │────>│  AI Extraction  │────>│  Interactive    │
│   Monitoring    │     │  (Summaries &   │     │  Dashboard      │
│                 │     │   Factsheets)   │     │                 │
└─────────────────┘     └─────────────────┘     └─────────────────┘

Every day at 10:00 UTC, automated workflows search arXiv for new papers, download PDFs, and use AI to extract structured information. The web app then lets you explore this data interactively.

<details> <summary><strong>For Developers</strong></summary>

Repository Structure

├── app.R                    # Shiny application
├── 01_extract_arxiv_papers.r # Daily ingestion pipeline
├── data/
│   ├── tracks.json          # Track configuration
│   ├── {track}_arxiv_metadata.csv
│   └── {track}_factsheet.csv
├── www/
│   └── miami-theme.css      # Custom styling
├── Dockerfile               # Container build
└── .github/workflows/
    └── daily_update.yml     # Automation

Required Secrets (GitHub)

Running Locally

With R:

shiny::runApp('.', host = '0.0.0.0', port = 7860)

With Docker:

docker build -t qe-arxiv-watch .
docker run --rm -p 7860:7860 qe-arxiv-watch

Deployment

The workflow pushes to both GitHub (primary) and Hugging Face Space (mirror):

# Standard push
git push origin main

# Also update Hugging Face
git push space main:main

Recent Updates

Version 3.3.0 (February 2026)

• —Enhanced landing page with feature showcase
• —Video tutorial modal
• —Stats section showing total papers
• —Improved track card descriptions

Version 3.2.0

• —Weekly research digest RSS feed
• —AI-synthesized weekly summaries

Version 2.1.0

• —Dynamic theming based on track selection
• —Chat improvements with MathJax support

</details>

Authors

Fadel M. Megahed, Ying-Ju (Tessa) Chen, Allison Jones-Farmer, Ibrahim Yousif, and Inez M. Zwetsloot

A collaboration between Miami University, the University of Dayton, and the University of Amsterdam.

[Try It Now](https://huggingface.co/spaces/fmegahed/arxiv_control_charts)