cs249r_book/tinytorch/paper

TinyTorch Research Paper

Complete LaTeX source for the TinyTorch research paper.

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Files

• paper.tex - Main paper (~12-15 pages, two-column format)
• references.bib - Bibliography (22 references)
• compile_paper.sh - Build script (requires LaTeX installation)

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Quick Start: Get PDF

Option 1: Overleaf (Recommended)

1. Go to Overleaf.com
2. Create free account
3. Upload paper.tex and references.bib
4. Click "Recompile"
5. Download PDF

Option 2: Local Compilation

./compile_paper.sh

Requires LaTeX installation (MacTeX or BasicTeX).

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Paper Details

• Format: Two-column LaTeX (conference-standard)
• Length: ~12-15 pages
• Sections: 7 complete sections
• Tables: 3 (framework comparison, learning objectives, performance benchmarks)
• Code listings: 5 (syntax-highlighted Python examples)
• References: 22 citations

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Key Contributions

1. Progressive disclosure via monkey-patching - Novel pedagogical pattern
2. Systems-first curriculum design - Memory/FLOPs from Module 01
3. Historical milestone validation - 70 years of ML as learning modules
4. Constructionist framework building - Students build complete ML system

Framed as design contribution with empirical validation planned for Fall 2025.

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Submission Venues

• ArXiv - Immediate (establish priority)
• SIGCSE 2026 - August deadline (may need 6-page condensed version)
• ICER 2026 - After classroom data (full empirical study)

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Ready for submission! Upload to Overleaf to get your PDF.