This publication presents Version 13 of the Boundary Project's executable research and computational continuity architecture, developed by Noelia Sanchez within Continuity Science and Recoverability-Constrained Systems. Building upon the Boundary Project: Unified Continuity Science and Recoverability-Constrained Systems — Expanded Meta-Universal Living-System Edition, this release advances the computational implementation of recoverability-constrained continuation, universal continuity, protection of affected beings, recursive governance, and bounded non-circular closure. The release consolidates an offline-first software research corpus integrating analytical lifecycle assessment, clinical-history continuity, crisis and disaster recovery, laboratory research frameworks, biomedical and pharmaceutical evidence evaluation, biomaterials and self-repair research, identity and authorization systems, digital twins, communications, logistics, protective decision support, and computational verification. Its central principle is recoverability-constrained continuation: before an irreversible transition, preserve the maximum admissibly recoverable future within the declared model; after irreversibility, preserve the greatest recoverable remainder through containment, evidence preservation, attribution, correction, restoration, reconstruction, adaptation, remedy, and successor continuity. The software develops and applies distinctions involving identity, consent, authority, provenance, evidence, recoverability intervals, successor states, critical barriers, dependencies, verification requirements, and the preservation of protected interests through changes in systems, institutions, infrastructures, technologies, and living environments. Computational and Mathematical Architecture This edition introduces a nine-direction expansion and non-circular closure layer comprising inward, outward, upward, downward, lateral, backward, forward, adversarial, and recursive examination. The v13 reference taxonomy defines 31,104 candidate cells across nine directions, 24 domains, 12 lifecycle stages, and 12 control classes. Materially independent distinctions are evaluated according to their effects on protection, evidence, timing, recoverability, responsibility, remedy, and successor outcomes. Duplicative descriptions may be compressed while preserving provenance and original-source integrity. The Zero-Distinction Boundary denotes a formal stopping condition within the declared finite taxonomy and available evidence. It does not imply that future scientific discoveries, technologies, rights, hazards, or successor possibilities have been exhausted. Self-Application and Verification The publication applies its continuity principles to the software archive itself through file inventories, cryptographic checksums, preservation manifests, executable regression tests, recursive verification, and a separately recorded non-circular stopping certificate. Historical files and previous version structures are preserved to support research reproducibility, integrity inspection, source correspondence, and later development. The stopping condition is explicitly reopenable when new evidence, vulnerabilities, implementation failures, protected interests, technical dependencies, or recovery possibilities materially change the evaluated system. Scientific, Clinical, Engineering and Institutional Scope The corpus provides research frameworks for clinical-history coherence, laboratory quality and method changes, cancer research evidence classification, pharmaceutical development assessment, regenerative-medicine research, self-repairing materials, machine maintenance, software restoration, community resilience, and continuity across institutional disruption. These components are computational research and reference implementations. They do not constitute clinically validated diagnostics, newly approved treatments, accredited laboratories, deployed supercomputing infrastructure, independently certified cybersecurity, or active institutional integrations. Formal computational results depend on defined assumptions and synthetic or supplied data. Real-world effectiveness, regulatory compliance, clinical validity, physical deployment, and institutional adoption require additional evidence, independent validation, and appropriate authorization. Proposed Boundary principles, model clauses, and standards are distinguished from existing binding legal obligations. Purpose The publication supports public interdisciplinary research, computational innovation, reproducible verification, historical preservation, responsible artificial intelligence, safety engineering, institutional evaluation, crisis prevention, protection of all materially affected beings, and continued development of recoverability-constrained systems. Publication status: Expanded executable interdisciplinary research and software preservation corpus, Version 13. Relationship: Executable companion to the broader Boundary Project Expanded Meta-Universal Living-System Edition and related published Boundary research archives. Core principle: Preserve distinguishable identity, truthful evidence, protected interests, and the greatest admissibly recoverable future through every transition. Close only within an explicitly bounded and verifiable model; reopen whenever materially new distinctions emerge.
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Sanchez et al. (2026) studied this question.
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