augchan42/king-wen-agi-framework: v2.0.0: Negative Result Paper with Experimental Data

Major revision: Paper rewritten as negative-result report The King Wen sequence has genuine statistical properties (confirmed by Monte Carlo analysis) but they do not improve neural network training. What changed from v1.x New experimental results from autoresearch (PyTorch/CUDA) and autoresearch-mlx (Apple Silicon) Finding: anti-habituation properties don't help ML training. LR modulation degrades performance. Curriculum ordering is worst non-sequential on CUDA, within noise on MLX. Fixed corrupted King Wen binary encoding (10 duplicate hexagrams corrected) Regenerated all statistical results with validated encoding New paper title: "Statistical Properties of the King Wen Sequence: An Anti-Habituation Structure That Does Not Improve Neural Network Training" Removed speculative sections, OpenSpiel proposal, and Claude endorsement Added Limitations section acknowledging scale constraints Full LaTeX + PDF ready for arXiv submission Paper (PDF) Built with XeLaTeX from paper/king-wen.tex. 9 pages including appendices.