A pre-registered galaxy-scale gravitational-slip prediction: screened metric response γ_eff(g_b) from a finite-QEC substrate

Abstract

This is a registration document, not a results paper: it freezes, before the deciding data, a falsifiable galaxy-scale prediction of the finite-QEC substrate programme (TCH). The framework's dark-sector response split assigns massive tracers the reading H = g_b + g_z and photons the reading S = H + g_M, with a screened metric response g_M = a₀√g_b · exp(−g_b/(k·a₀)), a₀ = cH₀/2π, k = 1.9483 (derived-conditional; the chain is summarised in the document). Galaxy-scale lensing-plus-dynamics comparisons therefore read an effective post-Newtonian-like parameter γ_eff(g_b) > 1 that rises toward low acceleration — a signature produced by neither GR+CDM nor MOND-class single-operator theories, both of which predict γ = 1 at all g_b. The prediction already sits within 2.2σ of the strongest published constraint; one modern SLACS-class reanalysis binned in g_b, or one resolved measurement on a lens at g_b ≈ 4 × 10⁻¹⁰ m s⁻² (predicted 12% lensing-mass excess), decides it. All numbers in the document are computed and asserted by a companion audit script; no-retune rules and disclosed open conditions are part of the registration.

Keywords

How to cite

Elliman, D. (2026). A pre-registered galaxy-scale gravitational-slip prediction: screened metric response γ_eff(g_b) from a finite-QEC substrate. Neuro-Symbolic Ltd technical report. https://neusym.ai/papers/slip_prediction_registration/

@techreport{elliman2026slippredictionregistration,
  author      = {Elliman, David},
  title       = {A pre-registered galaxy-scale gravitational-slip prediction: screened metric response γ_eff(g_b) from a finite-QEC substrate},
  institution = {Neuro-Symbolic Ltd},
  year        = {2026},
  url         = {https://neusym.ai/papers/slip_prediction_registration/}
}