Automatically track & organize the latest arXiv papers by topic — updated daily via GitHub Actions

📅 Last Updated: 2026.06.12 · 🤖 Auto-generated by GitHub Actions

Paper-List-DAILY is an automated arXiv paper tracking system that fetches, categorizes, and organizes the latest research papers across 20+ computer vision & AI topics — from classic tasks like Object Detection and Segmentation to cutting-edge fields like Diffusion Models, LLMs, and Embodied AI.

Every day, GitHub Actions automatically polls the Papers with Code API, enriches paper metadata with arXiv links, translation services, and code repositories, then generates beautifully formatted Markdown lists for both GitHub README and GitHub Pages.

🌐 Online Documentation: https://YOUR_GITHUB_USERNAME.github.io/paper-list/

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│  Papers with    │────▶│  GitHub Actions │────▶│  Enriched MD    │
│  Code API       │     │  (every 8h)     │     │  + Analytics    │
└─────────────────┘     └─────────────────┘     └─────────────────┘
         │                       │                       │
         ▼                       ▼                       ▼
   📥 Fetch Papers        🔗 Enrich Links         📝 Generate
   🔍 Filter by Topic     📊 Build Analytics      🌐 GitHub Pages
   📅 Sort by Date        💾 Store JSON           📄 README.md

• Python 3.10+
• pip

# 1. Clone the repository
git clone https://github.com/YOUR_GITHUB_USERNAME/paper-list.git
cd paper-list

# 2. Install dependencies
pip install -r requirements.txt

# 3. Run the setup wizard (first time)
python scripts/setup_fork.py

# 4. Dry-run to preview
python get_paper.py --dry-run --start_date 2026-06-01 --end_date 2026-06-08

# 5. Fetch papers
python get_paper.py

# Or specify a date range
python get_paper.py --start_date 2024-01-01 --end_date 2024-12-31

Customize search keywords, output paths, and more in config.yaml:

keywords:
  "Object Detection":
    enabled: true
    filters: ["Object Detection", "2D Object Detection", "3D Object Detection"]
  "Diffusion Models":
    enabled: true
    filters: ["Diffusion Model", "Stable Diffusion", "DALL-E"]

Browse topics by research lane first, then jump into each monthly archive.

• 1Classification
• 2Object Detection
• 3Semantic Segmentation
• 4Anomaly Detection
• 5Object Tracking
• 6Action Recognition
• 7Pose Estimation
• 8Depth Estimation
• 9Optical Flow
• 10Image Generation
• 11Diffusion Models
• 12LLM
• 13Latent Space LLM
• 14Multimodal
• 15Neural Rendering
• 16AI Agent
• 17World Models
• 18Reinforcement Learning
• 19Transfer Learning
• 20Audio Processing
• 21Graph Neural Networks
• 22Scene Understanding
• 23Video Understanding

Analytics is available as a separate entrance so the main reading flow stays topic-first.

• Insights Dashboard: docs/analytics/
• Daily Trend: Papers published per day
• Topic Ranking: Most active research areas
• Top Authors: Most prolific researchers
• Code Coverage: Ratio of papers with open-source code

If you find this project helpful, please consider giving it a ⭐ — it helps others discover the project!

We welcome contributions! Here are some ways you can help:

# Fork and clone
git clone https://github.com/YOUR_GITHUB_USERNAME/paper-list.git
cd paper-list

# Install dependencies
pip install -r requirements.txt

# Run the setup wizard
python scripts/setup_fork.py

# Run tests
python -m pytest tests/

This project is licensed under the Apache License 2.0.

The paper data is sourced from arXiv and Papers with Code, and remains subject to their respective terms of use.

_{Built with ❤️ by @YOUR_GITHUB_USERNAME · Powered by GitHub Actions}