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Published October 2, 2026 | Version 0.6.0

Mutation by Natural Dominance: recovery-transport robustness and a prospective biological test

Authors/Creators

  • 1. Independent Researcher

Description

This exploratory methods update integrates existing recovery-transport sensitivity with the finite-sample confidence projection of TMD methods 0.5.0. Exact rational correction allows prespecified positive routewise bounds on the differential discrepancy between biological and control recovery. All 160 published synthetic results are reanalyzed without resampling. All 40 strong-departure examples reject at a differential bound of 1.25; none reject at 1.5. Individual compatibility frontiers are enclosed by exact rational certificates. A chosen-count counterexample demonstrates a spurious departure under invalid exact transport and restored compatibility under a valid bound. The package includes 44 tests, an independent internal review, reproducible outputs, attribution and a prospective protocol for authenticated biological panels. A targeted five-source literature update sharpens mutation-supply, fitness and drift alternatives; an article-derived source audit records lineage and replicate limitations without claiming a raw-workbook reanalysis. Results are conditional on valid sampling laws and scientifically justified bounds. No new biological measurements, causal mechanism, external mathematical priority, general power or external peer review is claimed.

Other

Methods 0.6.0 preserves the reviewed scientific source snapshot at commit 465850ee33f746cf42f1b3d5075fba2ea57332ad (1 October 2026); later continuation rounds are outside this archive. New software is MIT, new documentation CC BY 4.0; inherited source attribution and terms remain. AI assistance and independent internal review are disclosed; no external peer review, new biological measurements or funding awards are claimed. Canonical research-report concept DOI: 10.5281/zenodo.23068055; historical software v2.6.5 belongs to a separate publication family.

Files

TMD_methods_0_6_0_2026-10-02.zip

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Additional details