
This record is retained for archival transparency. It presents an earlier stage of the Reality Mechanics framework and has been superseded by the consolidated document corpus: “Reality Mechanics: A Relational Framework for Emergent Structure — Document Corpus v1.0” (DOI: 10.5281/zenodo.19014030). This record contains Canonical Runtime v1, a minimal runtime kernel for modelling support-constrained nested systems. The runtime defines a simple structural architecture: R0 — a pre-existing relational substrate Dyad (A ↔ B) — the minimal injected relation Support flow Demand balance Persistence memory Thresholded continuation From these elements the runtime produces bounded nested branching dynamics that stabilise into marginal equilibrium regimes. The runtime is domain-agnostic and can be adapted for experimentation across multiple fields including: artificial life ecological simulation game systems infrastructure modelling distributed systems complex adaptive systems The file included here contains the canonical reference implementation. Researchers and developers are encouraged to build domain-specific extensions based on this runtime.
Development Process This runtime was developed through iterative collaboration between the author and AI-assisted research tools. AI systems including ChatGPT (OpenAI) and Perplexity AI were used during development for: simulation prototyping code generation assistance parameter exploration documentation drafting Conceptual design, runtime architecture, and validation were performed by the human author.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
