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Immortality Index: A Binary Milestone Registry for Longevity Research

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Abstract

Biological aging constitutes a progressive, multi-system accumulation of en-tropic failure across two interacting substrates:epigenetic configuration —herein termed cellular software — and somatic mutational burden, compris-ing the hardware layer.Current translational longevity research is impededby the absence of standardised, falsifiable progress metrics, with prevailingtracking methodologies relying on heterogeneous biomarker panels and non-reproducible clinical endpoints that resist formal integration. The present paperintroduces the Radical Longevity Index (RLI), a quantitative, dependency-graph-based framework that formalises 26 system-level integration bottlenecks — cul-minating in a single System-Level Integration Bottleneck (SLIB) validation tar-get — across two independent research tracks: Track 01 (Somatic Genetic Main-tenance) and Track 02 (Autonomous Nanorobotic Intervention).Each graphnode corresponds to a discrete, falsifiable milestone cluster with binary com-pletion semantics, enforced by a validation hierarchy progressing from in vitrohuman organoid models through in vivo murine assays, non-human primate lon-gitudinal studies, and controlled human clinical trials. This paper provides de-tailed mechanistic exposition of G-4.2, the paracrine-mediated intercellular epi-genetic remodelling engine, and G-4.4, the somatic identity triage protocol im-plementing a two-of-three spatial quorum logic gate that transitions terminallycorrupted cells into inert, non-secretory fibrotic encapsulation. The intersec-tion of G-4.4 with Track 02 nanorobotic units closes the error-correction loopthrough a bio-orthogonal tracking peptide (BTP-G44) secreted at ≥10 fmol/mL,enabling programmatic genomic repair and eliminating Byzantine fault prop-agation.The paper further documents the automated AI literature scanningpipeline that sustains six-hourly RLI state updates with deterministic, bias-freemilestone evaluation enforcing strict inclusion criteria.

The paper

Independent Distributed Research Infrastructure

Zenodo, 19 Jun 2026, Open access, CC BY, Preprint, not peer-reviewed

doi.org/10.5281/zenodo.20756205