onecite 0.0.1

Universal citation management and academic reference toolkit

OneCite

Universal Citation Management & Academic Reference Toolkit

Transform messy references into standardized citations

✨ Features • 🚀 Quick Start • 📖 Documentation • 🤝 Contributing

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✨ Features

• 🔍 Smart Recognition - Fuzzy matching with CrossRef & Google Scholar APIs
• 📚 Multi-format Support - TXT, BibTeX input → BibTeX, APA, MLA output
• 🎯 High Accuracy - 4-stage refinement pipeline ensures quality
• 🤖 Auto-completion - Intelligently fills missing bibliographic data
• 🎛️ Interactive Mode - User choice for ambiguous matches
• ⚙️ Template System - Flexible output field configuration
• 🎓 Conference Paper Support - Recognizes papers from NIPS, CVPR, ICML, etc.
• 📄 arXiv Integration - Automatically fetches metadata for arXiv papers
• 🌟 Famous Paper Database - Built-in recognition for landmark papers

🚀 Quick Start

Installation

Option 1: Install from PyPI (Recommended)

pip install onecite

Option 2: Install from Source

git clone https://github.com/HzaCode/OneCite.git
cd onecite
pip install -r requirements.txt
pip install -e .

Basic Usage

Input (references.txt):

10.1038/nature14539

Attention is all you need
Vaswani et al.
NIPS 2017

Command:

onecite process references.txt --output results.bib --quiet

Output:

Results saved to: results.bib

Processing Report:
  Total entries: 2
  Successfully processed: 2
  Failed entries: 0

Generated (results.bib):

@article{LeCun2015Deep,
  doi = "10.1038/nature14539",
  title = "Deep learning",
  author = "LeCun, Yann and Bengio, Yoshua and Hinton, Geoffrey",
  journal = "Nature",
  year = 2015,
  volume = 521,
  number = 7553,
  pages = "436-444",
  publisher = "Springer Science and Business Media LLC",
  url = "https://doi.org/10.1038/nature14539",
}

@inproceedings{Vaswani2017Attention,
  arxiv = "1706.03762",
  title = "Attention Is All You Need",
  author = "Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N. and Kaiser, Lukasz and Polosukhin, Illia",
  booktitle = "Advances in Neural Information Processing Systems",
  year = 2017,
  url = "https://arxiv.org/abs/1706.03762",
}

💡 Advanced Usage

🎨 Multiple Output Formats

# APA format
onecite process refs.txt --output-format apa
# → LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
# → Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). 
#   Attention is all you need. In Advances in Neural Information Processing Systems (pp. 5998-6008).

# BibTeX format (default)
onecite process refs.txt --output-format bibtex

# MLA format  
onecite process refs.txt --output-format mla
# → LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. "Deep Learning." Nature 521.7553 (2015): 436-444.
# → Vaswani, Ashish, et al. "Attention Is All You Need." Advances in Neural Information Processing Systems. 2017.

🤖 Interactive Mode

onecite process ambiguous.txt --interactive

Example interaction:

Found multiple possible matches for "Deep learning Hinton":
1. Deep learning
   Authors: LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey
   Journal: Nature
   Year: 2015
   Match Score: 92.5
   DOI: 10.1038/nature14539

2. Deep belief networks
   Authors: Hinton, Geoffrey E.
   Journal: Scholarpedia
   Year: 2009
   Match Score: 78.3
   DOI: 10.4249/scholarpedia.5947

Please select (1-2, 0=skip): 1
✅ Selected: Deep learning

🐍 Python API

from onecite import process_references

def callback(candidates):
    return 0  # Select first candidate

result = process_references(
    input_content="Deep learning review\nLeCun, Bengio, Hinton\nNature 2015",
    input_type="txt",
    template_name="journal_article_full", 
    output_format="bibtex",
    interactive_callback=callback
)

print(f"Processed: {result['report']['succeeded']} entries")

📑 Supported Paper Types

OneCite now supports various types of academic papers:

Journal Articles with DOI:

10.1038/nature14539

→ Automatically fetches complete metadata from CrossRef

Conference Papers:

Attention is all you need
Vaswani et al.
NIPS 2017

→ Recognizes conference venues (NIPS/NeurIPS, CVPR, ICML, etc.) → Generates @inproceedings BibTeX entries

arXiv Papers:

1706.03762

→ Fetches metadata from arXiv API → Includes abstract and all authors

Papers with URLs:

https://arxiv.org/abs/1706.03762

→ Extracts identifiers from URLs → Supports arXiv, DOI, and conference paper URLs

⚙️ Configuration

📋 Command Line Options

Option	Description	Default
--input-type	Input format (txt, bib)	txt
--output-format	Output format (bibtex, apa, mla)	bibtex
--template	Template to use	journal_article_full
--interactive	Enable interactive mode	False
--quiet	Suppress verbose logging	False
--output, -o	Output file path	stdout

Examples:

# Basic processing
onecite process input.txt

# With custom options  
onecite process input.bib --input-type bib --template conference_paper --output results.bib

# Interactive mode with APA output
onecite process mixed.txt --interactive --output-format apa

🎨 Template System

Create custom template my_template.yaml:

name: my_template
entry_type: "@article"
fields:
  - name: author
    required: true
  - name: title  
    required: true
  - name: journal
    required: true
  - name: year
    required: true
  - name: doi
    required: false
    source_priority: [crossref_api]

Usage:

onecite process refs.txt --template my_template

🤝 Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

📄 License

This project is licensed under the MIT License.

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OneCite - Making citation management simple and accurate ✨

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