GTi: A Generative Foundation for the Sciences — Invitation for Collaboration
Waldemar Superson
Examples of how GTi can ground existing theories: generativity → relations → Rovelli (RQM) generativity → information → Wheeler generativity → geometry → Penrose generativity → spectra → spectral models generativity → biological networks → morphogenesis generativity → cognition → awareness models These examples illustrate the breadth of what GTi can explain. A concrete demonstration is provided in the publication “Generative Interpretation of Quantum Entanglement” (Zenodo: https://zenodo.org/records/19058217), where entanglementis shown not as a mysterious quantum link, but as the observable trace of a shared generative origin. GTi (Generative Theory of ilons) introduces a generative ontology at level 0 — a pre‑relational, pre‑informational and pre‑structural foundation that explains how the first structures of reality can arise. To our knowledge, no such generative foundation has previously existed in the scientific literature. Most theories begin with relations, information, geometry, spectra, or biological organization already in place. GTi precedes all of them by providing the minimal generative substrate from which these structures can emerge. GTi is not a physical theory and not a model of any specific domain. It is a universal generative skeleton, capable of supporting many different interpretive frameworks. Each continuation of GTi arises through the choice of a functor written linearlyas: H: Set → C, where C is a category of structures. This makes GTi compatible with a wide range of scientific theories, each representing a different continuation of the generative substrate. The purpose of this publication is to present GTi as a new generative foundation and to invite researchers to develop their own continuations. GTi offers a clean, minimal and mathematically precise starting point for embedding diverse scientific theories into a common generative framework. Researchers in physics, information theory, biology, cognitive science, mathematics, philosophy of science and complexity theory are warmly invited to explore how their models may be grounded in GTi. Author: Waldemar Superson
•Mar 18, 2026•0 citations