CAELIX presents a constructive substrate programme for exploring whether continuum-like field signatures can arise from an explicitly discrete structural layer under purely local rules. The system is built from balanced-ternary microstates s ∈ −1, 0, +1. These microstates are mapped through a deterministic, local load functional that acts as an interface-density proxy. The resulting load is then coupled into a continuous carrier field φ evolved by local stencil updates in two families, diffuse and telegraph. The core question is methodological: if carrier dynamics are held fixed, do changes in microstate structure drive systematic changes in measurable observables. The paper specifies the substrate, the carrier rules, the coupling, and a reproducible experiment programme. It reports a suite of observable signatures that emerge without hard-coded distance kernels or prescribed force laws, including a far-field inverse-radius vacuum profile (≈ 1/r), stable wave interference patterns, sign-structured interaction proxies, geometric confinement spectra, calibrated near-isotropic propagation, and latency proxies consistent with refraction-style and kinematic-dilation effects. Non-linear extensions (ϕ⁴ and Sine–Gordon carriers) produce stable localised structures and reusable sprite assets, which are then used to demonstrate confinement routing behaviours such as T-junction fan-out and controlled signal disposal via geometric dump chambers. The work is deliberately concrete. It does not present a new physical theory at the level of a Lagrangian. Instead, it offers a specified, ablatable pipeline from minimal discrete structure to measured continuum-like observables, with explicit controls, known failure modes, and provenance-logged artefacts to support replication and falsification.
Building similarity graph...
Analyzing shared references across papers
Loading...
Alan Ball (Sun,) studied this question.
www.synapsesocial.com/papers/69aa70c8531e4c4a9ff5ad68 — DOI: https://doi.org/10.5281/zenodo.18823977
Alan Ball
Building similarity graph...
Analyzing shared references across papers
Loading...