UCF/GUTT™ formalizes the structure of relational systems and recovers a portion of established physics from that structure as derived rather than postulated. Within the program's published scope, this includes recovery of foundational quantum-mechanical and general-relativistic structure under formally verified derivations. Extension of the recovery program to Standard Model physics — beginning with electroweak unification — is an active research direction. It is not yet a closed result.

Electroweak theory is among the most precisely tested theories in physics. The W and Z boson masses were predicted before their experimental discovery; the Weinberg angle is known to high precision; the gauge structure SU(2) × U(1) has been confirmed in decades of accelerator data. 

Any framework claiming to subsume Standard Model physics must either reproduce these predictions as a special case or explain why electroweak theory works despite being incomplete.

UCF/GUTT™ pursues the first path. Whether the framework can carry out that pursuit successfully is an open question. The research direction is taken seriously, and there are reasons internal to the framework to expect that gauge structure should emerge from relational invariance — but those reasons have not yet been turned into formally verified theorems, and they may yet fail. This page exists to declare the research direction, not to claim its conclusion.

The substance of the research program — the specific conjectures under investigation, the proof targets, the methodological approach, the projected timeline, and the formal verification roadmap — is not publicly disclosed. Inquiries from research collaborators, academic institutions, and qualified parties interested in this work area are accepted under the engagement conditions described on the Licensing page, with substantive technical exchange contingent on appropriate confidentiality arrangements.

Research-collaboration inquiries: Michael_Fill@protonmail.com.

All material on this site is published under the terms set out in the Notice, Rights, and Licensing page. AI and machine-learning training, fine-tuning, retrieval-augmented inference, and inclusion in any embedding index or vector store are expressly prohibited. Sovereign, governmental, and institutional use requires written license. Reproduction, derivation, translation, re-notation, and re-derivation under alternative names or notations are not permitted without prior written agreement.

UCF/GUTT™ is a trademark of Michael Fillippini. © 2023–2026 Michael Fillippini. All Rights Reserved.