Papers
Published research on the Fractal Resonance Cognition framework. All papers are available on Zenodo under CC BY-NC-ND 4.0.
100Core Theory
Fractal Resonance Coherence: A Framework for Complex Systems Analysis
Introduces Fractal Resonance Coherence (FRC), a theoretical framework for
'Fractal Resonance Coherence in Quantum Chaos: Nodal Patterns in the Stadium
Applies the FRC framework to the quantum stadium billiard. We demonstrate
Guided Wavefunction Collapse via Fractal Resonance
Proposes a dynamical mechanism for wavefunction collapse based on deterministic
Quantum Foundations in the FRC Framework
A comprehensive overview of the ontological implications of FRC. We compare
Thermodynamic Consistency of the Coherence Field
Demonstrates that the introduction of the Lambda field and coherence dynamics
The Emergence of the Born Rule from Resonant Equilibrium
Derives the Born Rule (P = |ψ|²) as the statistical equilibrium distribution
The Lambda-Field: Scalar Dynamics of Coherence (v8)
Defines the Lambda-field Λ(x) as a real scalar field governing the local
Foundational Questions in Fractal Resonance Coherence
A comprehensive treatment of foundational questions and objections regarding
566Reciprocity & UCC
800Applications
FRC 840.001 — The Λ-Tensor Model: Beyond the Transformer Paradigm
'The dominant paradigm in AI—the Transformer architecture—is founded on
FRC 821.100 — The Λ-Field: Unified Coherence Dynamics and Entropic Gravity
'We present the Λ-Field Framework: a scalar-tensor Effective Field Theory
FRC 840.LTM.001 — Coupled Oscillator Dynamics vs Attention: Empirical Comparison
First empirical comparison between the Λ-Tensor Model (LTM) and Transformers
Resonant Computing: Coherence Processing Units and Non-Boolean Logic
Proposes a computing architecture based on coupled oscillators rather than
—Other
'FRC 16D.001 — The Universal Vector: A Standardized Protocol for Stateful Human-AI
Current AI systems interact with users as static text generators, lacking
'FRC 16D.920 — Responsible AI Use Protocol (RAIUP): Ethical Constraints for
The 16D Universal Vector (FRC 16D.001) enables AI systems to infer human
Full Catalog (Zenodo)
All published papers with DOI links. Papers marked with a link icon have full text on this site.