sciwrite-lint: Verification Infrastructure for the Age of Science Vibe-Writing

1. 1
   Ingest Document & Extract Text

   First, ingest the scientific document (e.g., PDF) and extract its textual content using a library like `pypdf`.
2. 2
   Extract Citations

   Apply Natural Language Processing (NLP) techniques to identify and extract potential citation strings (e.g., [1], (Author, Year)) from the extracted document text.

import pypdf

def extract_text_from_pdf(pdf_path: str) -> str:
    """Extracts text from a PDF document."""
    text = ""
    try:
        reader = pypdf.PdfReader(pdf_path)
        for page in reader.pages:
            text += page.extract_text() + "\n"
    except Exception as e:
        print(f"Error extracting text from PDF: {e}")
        return ""
    return text

# Example usage: Replace 'path/to/your_document.pdf' with a real PDF path
# You might need to install pypdf: pip install pypdf
# document_text = extract_text_from_pdf("path/to/your_document.pdf")
# print(document_text[:500]) # Print first 500 characters of extracted text