# Academic Paper on Machine Learning - CER Test Fixture

## Purpose
This fixture is used for Character Error Rate (CER) testing in the vector PDF corpus.

## Files
- `source.pdf` - Clean vector PDF with embedded text
- `ground_truth.txt` - Exact text content for CER comparison
- `README.md` - This file

## Content
Abstract
This paper presents a novel approach to machine learning using deep neural networks.
Our method achieves state-of-the-art results on several benchmark datasets.
Introduction
Machine learning ...

## Expected CER
Target: < 0.5% character error rate when extracted by pdftract.

## Metadata
- Title: Academic Paper on Machine Learning
- Author: Jane Doe
- Creator: LaTeX
- Generated by: generate_vector_cer_corpus.py