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Update paper title for clarity and specificity
- Add "1.58-bit" for concrete precision (vs vague "ternary") - Add "in CNNs" to clarify scope (not transformers/LLMs) - Update paper/main.tex title and LaTeX comment - Update README.md heading and BibTeX citation - Update pyproject.toml description for consistency - Recompile paper with new title (28 pages, 553 KB) New title: "Understanding and Closing the 1.58-bit Quantization Gap in CNNs: An Empirical Study" Better for TMLR submission: - More searchable ("1.58-bit" + "CNNs" are concrete keywords) - Prevents confusion with BitNet LLM work - Combines problem focus with technical specificity
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README.md

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# 1.58-bit Convolutional Neural Networks: A Systematic Comparison Study
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# Understanding and Closing the 1.58-bit Quantization Gap in CNNs: An Empirical Study
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> Research reproducibility repository for TMLR submission
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```bibtex
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@article{cazzani2026bitconv,
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title={1.58-bit Convolutional Neural Networks: A Systematic Comparison Study},
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title={Understanding and Closing the 1.58-bit Quantization Gap in CNNs: An Empirical Study},
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author={Cazzani, Dario},
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year={2026}
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}

paper/main.pdf

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paper/main.tex

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% TMLR Submission: Understanding and Closing the Ternary Quantization Gap
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% TMLR Submission: Understanding and Closing the 1.58-bit Quantization Gap in CNNs
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% New version with modular sections
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\documentclass[10pt]{article}
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% METADATA
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% =============================================================================
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\title{Understanding and Closing the Ternary Quantization Gap:\\An Empirical Study}
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\title{Understanding and Closing the 1.58-bit Quantization Gap in CNNs:\\An Empirical Study}
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\author{
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Dario Cazzani\\

pyproject.toml

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[project]
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name = "bitnet-1.58"
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version = "0.1.0"
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description = "1.58-bit Neural Networks: Systematic Comparison Study"
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description = "Understanding and Closing the 1.58-bit Quantization Gap in CNNs: An Empirical Study"
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requires-python = ">=3.11"
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dependencies = [
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"torch>=2.0.0",

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