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Round 2 of the bib audit, covering paper subprojects (mlsysim,
tinytorch, periodic-table, mlperf-edu) that the textbook-focused first
pass deferred. Same pattern as round 1: surname/year prefixes did not
match the entry's actual paper, plus several corrupt entries from
Crossref misidentification.
Renames:
- mlsysim/{docs,paper}: barrett2024 -> zheng2024sglang (SGLang paper,
Zheng is first author).
- mlsysim/paper: zhao2025 -> deepseek2025v3 (DeepSeek-V3 ISCA paper,
corporate author DeepSeek-AI).
- tinytorch: key499f5624 -> tanenbaum1987os (hash-fallback for
Tanenbaum OS textbook); fry1985 -> abelson1996sicp (SICP 2nd ed,
Fry is not in author list); wooster1982 -> papert1980mindstorms
(Mindstorms by Papert, Wooster not in author list); collins2018 ->
collins1989apprenticeship (Cognitive Apprenticeship paper is 1989).
- tinytorch + periodic-table: vaswani2025 -> vaswani2017attention
(Attention paper is 2017; entries had a corrupt publisher and bogus
DOI from Crossref misidentification).
Body fixes accompanying renames:
- tanenbaum1987os, abelson1996sicp, papert1980mindstorms: rebuilt as
@book entries (were @article with stale review/journal DOIs).
- vaswani2017attention: rebuilt with canonical NeurIPS 2017 metadata
(Curran Associates, vol 30, pp 5998-6008); dropped corrupt DOI.
Orphan deletions:
- tinytorch keybe9561f4 (hash-fallback, no cite sites).
- mlperf-edu vaswani2017attention (orphan).
21 cite-site updates across 4 paper subprojects. bib_lint reports 0
errors across all 5 modified bibs.
TinyTorch Research Paper
Complete LaTeX source for the TinyTorch research paper.
Files
- paper.tex - Main paper (~12-15 pages, two-column format)
- references.bib - Bibliography (22 references)
- Makefile - Build rules (requires LaTeX installation)
Quick Start: Get PDF
Option 1: Overleaf (Recommended)
- Go to Overleaf.com
- Create free account
- Upload
paper.texandreferences.bib - Click "Recompile"
- Download PDF
Option 2: Local Compilation
make
Requires LaTeX installation (MacTeX or BasicTeX).
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
Key Contributions
- Progressive disclosure via monkey-patching - Novel pedagogical pattern
- Systems-first curriculum design - Memory/FLOPs from Module 01
- Historical milestone validation - 70 years of ML as learning modules
- Constructionist framework building - Students build complete ML system
Framed as design contribution with empirical validation planned for Fall 2025.
Submission Venues
- ArXiv - Immediate (establish priority)
- SIGCSE 2026 - August deadline (may need 6-page condensed version)
- ICER 2026 - After classroom data (full empirical study)
Ready for submission! Upload to Overleaf to get your PDF.