{
  "abstract": "Can one inherited relational architecture generate qualitatively different regimes of organization without pre-specifying the objects that eventually emerge? This paper was developed specifically as a computational proof module of A2. It tests whether A2’s relational generation can survive a sequence of increasingly demanding dynamical requirements using a two-way strategy: reverse inference from established physical and systems-level phenomena to necessary constraints, followed by forward simulation under explicit controls, ablations and retained failures. Across a sequence of models, compatibility increases relational organization, cumulative history increases persistence, local accessibility produces a finite distance-ordered response front, and self-limitation suppresses unrestricted system-size scaling while exposing a failure of durable structure identity. A reality-informed extension with internal orientation, signed coupling, joint relational state, and state-dependent effective coupling produces rapid relational activation and a global condensation regime. A further multi-source model with stochastic local shocks and finite stress/recovery converts an otherwise nearly locked condensed state into an actively reorganizing regime with repeated observer-detected birth, fusion, fission, and transformation of relational components. The contribution is therefore not a single successful simulation, but a progressively constrained generative route in which both success and failure reduce the admissible mechanism space. We formulate recursive reification Γ_n→X_(n+1), generative-source multiplication, and k-order closure as the next falsifiable tests. The present results do not identify physical particles or cosmological events; they establish that a compact relational architecture can already support organization, finite propagation, explosive condensation, and shock-driven structural transformation within one inherited computational program.",
  "abstract_shown": true,
  "affiliations": [
    "Independent Researcher, Melbourne, Australia"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Yanghua Wang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5356mv9f86qdd.bib",
  "cited_by": 0,
  "doi": "10.5281/zenodo.23472403",
  "fulltext_url": null,
  "id": "5356mv9f86qdd",
  "issns": [],
  "landing_url": "https://zenodo.org/records/23472403",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [],
  "openalex": null,
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-19",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/5356mv9f86qdd.ris",
  "sources": [
    {
      "first_seen": "2026-11-02T12:21:08Z",
      "native_id": "23472403",
      "source": "zenodo",
      "url": "https://zenodo.org/records/23472403"
    }
  ],
  "subjects": [],
  "title": "Ω₀ Relational Generative Dynamics Finite Propagation, Self-Limiting Organization, State-Dependent Condensation, and Recursive Structural Generation",
  "title_text": "Ω₀ Relational Generative Dynamics Finite Propagation, Self-Limiting Organization, State-Dependent Condensation, and Recursive Structural Generation",
  "type": "preprint",
  "updated_at": "2026-11-02T12:21:08Z",
  "url": "https://research.draconitic.com/paper/5356mv9f86qdd",
  "venue": "Zenodo",
  "versions": []
}