Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
This archive contains the complete replication package, frozen DNA specifications, core execution scripts, and 400 training run logs supporting the manuscript: "Initialization DNA: Sparse Weight-Space Programs for Accelerating Small Transformer Language Model Training" (submitted to Pattern Recognition, PR-D-26-12736 Revision R1). ### Contents:- `data/per_seed_runs.csv`: 400 training runs across 30 paired confirmatory seeds, six learning rates, LayerNorm scale diagnostics, and 5000-step long horizon runs.- `dna/`: Frozen JSON specifications for Standard (empty), Seed-DNA, Selected-DNA, and LayerNorm scale variants.- `code/`: Model definition, training runner, dataset loader, and confirmatory analysis scripts.- `figures/`: Manuscript figures in original high-resolution formats.- `LICENSE`: MIT License. ### Quick Reproduction Check:Run `python code/summarize_per_seed.py` to verify group means, bootstrap 95% confidence intervals, and long-horizon paired win counts. Canonical GitHub Repository: https://github.com/TerrenceYeYang/EVO
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