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📜 Paper-List-DAILY

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

Website Stargazers

📅 Last Updated: 2026.06.24 · 🤖 Auto-generated by GitHub Actions

paper_list_banner

📖 Introduction

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://isLinXu.github.io/paper-list/

🗺️ Topic Coverage
Category Topics
Perception Core Classification · Object Detection · Semantic Segmentation · Anomaly Detection
3D and Motion Object Tracking · Action Recognition · Pose Estimation · Depth Estimation · Optical Flow
Foundation Models Image Generation · Diffusion Models · LLM · Latent Space LLM · Multimodal
Systems Frontier Scene Understanding · Video Understanding · Neural Rendering · Transfer Learning · Reinforcement Learning · Graph Neural Networks · Audio Processing
Emerging AI Agent · Reasoning · World Models · 3D Vision · Autonomous Driving · Robotics · Embodied AI
Science & Safety AI for Science · AI Safety · Efficient AI · Time Series & Anomaly

✨ Features

Feature Description
🔄 Daily Auto-Update Runs every 8 hours via GitHub Actions — zero manual intervention
📂 20+ Research Topics From Classification to Embodied AI, covering the full CV/AI spectrum
📊 Research Insights Trend charts, topic rankings, top authors, and code coverage
🔗 Smart Link Enrichment Auto-attaches arXiv PDF, translation, reading, alphaXiv discussion, and code links
📱 Dual Output Generates both GitHub README and Jekyll-powered GitHub Pages
🤖 Dual Reading Modes Human-facing view + compact ?view=agent mode
🎨 Three Visual Themes Editorial (warm), Atlas (dark), Lab (clean) — switchable
🔍 Configurable Keywords Fully customizable search filters via config.yaml
📈 Monthly Archives Papers organized by month for easy historical browsing
🌐 Multi-language Support Integrated paper translation links for non-English readers

🏗️ How It Works

┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│  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

🧭 Reading Paths

Path When to use
Topic-first Start from the live site homepage → choose a topic lane → open a monthly archive
Dense scan Open paper_list.html for one continuous all-topics stream with browser search
Analytics Open the insights dashboard for charts, rankings, and code coverage
Agent mode Add ?view=agent on GitHub Pages for a denser, lower-noise reading mode

🚀 Quick Start

Prerequisites

  • Python 3.10+
  • pip

Installation

# 1. Clone the repository
git clone https://github.com/isLinXu/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

Configuration

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"]

🔧 Advanced Usage

Command Description
python get_paper.py --dry-run Preview what would be fetched without writing files
python get_paper.py --topic "Object Detection" Fetch a single topic only
python get_paper.py --update_paper_links Enrich existing papers with code links
python scripts/count_range.py 2024-01-01 2024-12-31 Count papers in a date range
python scripts/build_analytics.py --store docs/data --out docs/analytics Build research insights dashboard
python scripts/filter_audit.py Audit filter efficiency (find zombie filters)
python scripts/validate_config.py Validate config.yaml before running
python scripts/setup_fork.py Interactive fork setup wizard
make dry-run Shortcut: preview fetch
make fetch Shortcut: fetch today's papers

📚 Paper List

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

📊 Research Insights

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

  • Insights Dashboard: 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
📈 Preview charts

trend_daily

topic_rank

⭐ Star History

Star History Chart

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

🤝 Contributing

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

Type How
🐛 Report Issues Open an issue for bugs or missing papers
💡 Suggest Topics Propose new research categories in the issues
🔧 Improve Code Submit a PR to enhance the scraper, analytics, or UI
📖 Improve Docs Help us write better documentation

Development Setup

# Fork and clone
git clone https://github.com/isLinXu/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/

📄 License

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.

🙏 Acknowledgements

Service Contribution
arXiv Open access to research papers
Papers with Code Comprehensive paper API
papers.cool Paper translation services
hjfy.top Enhanced paper reading experience
alphaXiv Interactive paper discussion and annotation

Built with ❤️ by @isLinXu · Powered by GitHub Actions