This document is Registered Amendment A1 to the pre-registration record ATTRACTOR-LIFE-PREREGISTRATION-v1.0 (Zenodo DOI: 10.5281/zenodo.18986790). It is filed before any experimental confirmation. The amendment is triggered by geometric integration of the Wnt/BMP literature (Nature Reviews Genetics 2024; PLOS Genetics 2023; Discover Developmental Biology 2024; eLife 2025) into the Attractor Geometry framework. This integration reveals that the original Dickinsonia Protocol's prediction of bilateral Ediacaran morphology from Wnt activation alone is under-specified. The core geometric derivation is: bilateral symmetry is not a single-axis attractor. It is a two-axis attractor constituted by the orthogonal intersection of the Wnt/β-catenin axis (anterior-posterior, Axis 1) and the BMP/ADMP axis (dorsal-ventral, Axis 2). The evolutionary transition from pre-bilateral to bilateral Ediacaran morphology is a dimensional expansion event in the body plan attractor space — structurally identical to the FECA→LECA mitochondrial dimensional expansion established in the companion LUCA paper (DOI: 10.5281/zenodo.18988844), but operating in morphological rather than metabolic attractor space. This derivation has two direct consequences: (1) the Dickinsonia Protocol requires two sequential interventions — Wnt activation to establish Axis 1, followed by orthogonal BMP activation to establish Axis 2 — not one; (2) the pre-bilateral Ediacaran attractor (Axis 1 only, disc/sheet morphology) is itself an independently accessible and falsifiable intermediate stage. The amendment introduces four new pre-specified falsifiable predictions (A1-P1 through A1-P4) and four new falsifiability conditions (F8–F11). The framework is unchanged. The Reproduction Theorem, the Inverse Accessibility Theorem, all LECA predictions, the Cross-Kingdom Convergence Prediction, the LINE-1 independent access prediction, and the LUCA geometric status are all unmodified. The original pre-registration is permanently locked and stands as published. This amendment is part of the OrganismCore open-source research initiative. Repository: https://github.com/Eric-Robert-Lawson/attractor-oncology
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Eric Robert Lawson
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Eric Robert Lawson (Thu,) studied this question.
www.synapsesocial.com/papers/69b4ba2718185d8a39802db6 — DOI: https://doi.org/10.5281/zenodo.18989573
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