Drop unreproducible design-distance multiple; correct undatabased non-host rate to 99%

Correct foundation-model gain description (promoters near-tie, histone marks mid-range); full-data fine-tune confirms

Comprehensive card rewrite; Markov-correlated generalization in the proof; correlation figure

Real foundation model (DNABERT) gain-vs-D, field-wide sweep, protein/RNA parity; boundary.py multiclass+regression

Add boundary.py (the D criterion as a standalone tool); tighten README

Composition boundary: machine-checked factorization/Bayes/JSD theorem + Nucleotide Transformer sweep showing D predicts solvability

Partition law and first-principles crossover; machine-checked robustness proof; provenance watermark

README: embed learned-space and composition-manifold figures

README: partition generalized to protein/RNA, MI crossover, certified frontier, dominant hybrid, manifold

Link atlas dataset instead of bundling

Rich README + certify/attribute methods, design.py, bundled 8-mer atlas

Ship single k=8 discriminative model (host 0.993/0.990, engineered 0.919/0.896, 5-class 0.708); breaks adversary at order 7

Add base_model: Carbon-8B (derived by analysis) + clarify analytical derivation vs weight transfer

v2: retrained on scaled+deduplicated benchmark (host 0.995/0.993, engineered 0.909/0.874, 5-class 0.69); add read-filter CLI

Build out card: dataset link, model-index eval results, references (Carbon-8B comparison, method lineage)

Replace with RC-folded multi-order spectrum (k=4,6,8) model: host 0.982, engineered 0.895, 5-class 0.65

Add measured evaluation results

initial upload