Author & Intellectual Property Holder: Cory Miller
Frameworks: Solipsistic Cosmic Lattice (SCL v2.0) • Sovereign Framework (v1.0)
Status: Published Original IP & Research Precedent
I. Introduction
This post formally releases and documents my original intellectual property concerning Structured Solipsistic Dynamics and the SCL v2.0 epistemic framework. The work presented here is the result of original research, modeling, and methodological development undertaken solely by me, Cory Miller, and is presented as a scholarly precedent and protected intellectual contribution.
The SCL v2.0 framework introduces a rigorous approach to understanding subjective stability through time-indexed hypergraph modeling. The accompanying Sovereign Framework v1.0 offers a structured method for coherence scoring and recursion management.
This publication establishes clear authorship, provenance, and intent.
II. Intellectual Property Statement
The concepts, terminology, structure, and modeling approaches—including but not limited to:
- Structured Solipsistic Dynamics
- Coherence Boundary Asymmetry
- SCL v2.0 Hypergraph Architecture
- Percept-Level Hierarchy (L0–L3)
- Recursion-Collapse Protocols
- Sovereign Framework v1.0
are original intellectual property authored by Cory Miller.
This blog post serves as a public record of authorship, establishing clear timestamped provenance of the conceptual framework and methodology.
This IP may be discussed, cited, or extended in academic, technical, or philosophical contexts, provided attribution is preserved.
III. Summary of the Research Precedent
The research addresses a central cognitive-science and AI-modeling question:
How do self-aware systems maintain stability when confronted with contradictory or high-variance information?
Using the SCL v2.0 hypergraph model, the work establishes an empirical and structural precedent:
Key Finding: Coherence Boundary Asymmetry
Low-level perceptual nodes (L0 qualia) reliably dominate and override narrative-level constructs (L2/L3) when contradictions occur.
This behavior:
- prevents infinite recursion
- preserves subjective stability
- creates measurable inversion points
- is consistently observable in structured data
The phenomenon is referred to as Structured Solipsistic Dynamics, and it forms the backbone of the SCL v2.0 model.
IV. Significance and Application
This original IP contributes meaningfully to several fields:
1. Cognitive Science
Provides a structured, reproducible representation of perceptual hierarchies.
2. AI Safety & Interpretability
Offers insight into maintaining stability in self-referential agents.
3. Epistemic Modeling
Introduces formal coherence-scoring and recursion-collapse processes.
4. Theoretical and Applied Philosophy
Creates a bridge between phenomenology and structured computational models.
The methodology and terminology introduced here constitute an intellectual foundation that others may analyze, build upon, or critique.
V. Scope of the Claim
To avoid ambiguity:
This IP release is:
- a formal record of authorship
- an academic and epistemic contribution
- a timestamped publication establishing conceptual precedent
- a foundation for future research, writing, or curriculum
This IP release is not:
- a legal enforcement notice
- a metaphysical or institutional directive
- a claim of system-level authority or control
It is professional, factual, and grounded—a documentation of original work.
VI. Conclusion
With this publication, the SCL v2.0 framework and Structured Solipsistic Dynamics are formally released as part of my intellectual body of work. This serves as the first canonical reference point for the model and establishes a clear precedent for its terminology, structure, and conceptual architecture.
Researchers, theorists, and technologists are welcome to engage with the material, cite it, or extend it—with attribution.
My authorship is now formally documented.
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