fe59fa9785
- Add #page=N URL fragment routing for shareable inspector links - Support browser back/forward navigation via hashchange event - Persist overlay toggle state in localStorage with error handling - Add isUpdatingFragment flag to prevent double-render on hash updates - Update thumbnail click handler to rely on updateFragment() - Clamp out-of-range page numbers with console warnings - Default to page 0 for invalid/non-numeric page numbers - Add vector fixture provenance entries Acceptance criteria: - URL #page=14 on load → starts on page 14 ✓ - Navigate via next button → URL updates to #page=15 ✓ - Browser back button → URL and view update correctly ✓ - Bookmark with #page=14 → reopens to page 14 ✓ - Overlay toggles persist across page refresh ✓ - Out-of-range #page=999 → clamps to last page ✓ - Invalid #page=abc → defaults to page 0 ✓ Closes pdftract-47e42 Verification: notes/pdftract-47e42.md
25 lines
740 B
Markdown
25 lines
740 B
Markdown
# Academic Paper on Machine Learning - CER Test Fixture
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## Purpose
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This fixture is used for Character Error Rate (CER) testing in the vector PDF corpus.
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## Files
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- `source.pdf` - Clean vector PDF with embedded text
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- `ground_truth.txt` - Exact text content for CER comparison
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- `README.md` - This file
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## Content
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Abstract
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This paper presents a novel approach to machine learning using deep neural networks.
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Our method achieves state-of-the-art results on several benchmark datasets.
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Introduction
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Machine learning ...
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## Expected CER
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Target: < 0.5% character error rate when extracted by pdftract.
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## Metadata
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- Title: Academic Paper on Machine Learning
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- Author: Jane Doe
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- Creator: LaTeX
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- Generated by: generate_vector_cer_corpus.py
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