Biologypreprint2026-08-09

Super Evolution Theory: From Receptor-State Computation to Reticulate Evolution

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Abstract

Super Evolution Theory develops a receiver-centered framework connecting cellular signal processing, cellular memory, and reticulate evolution. The serotonin receptor ecosystem is used as a worked mechanism: the paper follows synthesis, vesicular storage, release, receptor-specific transformation, feedback, reuptake, metabolism, trafficking, recycling, and the changes that repeated signaling can leave in cellular state and structure. It then examines how already assembled biological modules can move through plasmids, viruses, transformation, conjugation, transduction, mobile elements, and symbiotic combination. The paper does not replace receptor pharmacology, mutation, recombination, drift, natural selection, development, or established horizontal gene transfer. It asks whether these mechanisms predict more when represented in one stateful, receiver-dependent, and network-shaped architecture. Scientific landmarks are cited only where a specific result defines a mechanism, mathematical baseline, or testable boundary. The preprint includes twelve discriminating predictions, a synthetic executable model with automated tests, a publication-quality results figure, and a Lean 4 formal kernel. The formal results establish consequences within stated mathematical models, including an adverse counterexample showing why the existence of additional routes does not by itself imply faster evolutionary change. They are not empirical confirmation that living systems instantiate the complete theory. A companion archive supplies source, figures, evidence atlas, experimental protocol, executable model, frozen results, and Lean materials.

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-09

Authors: Micah Blumberg, Ezekiel Golan

Institutions: Kitware (United States)