This repository curates the public-facing research notes, essays, and lightweight prototypes that surround my ongoing work on the Recursive Identity Architecture (RIA).
RIA is my independent framework for reasoning, authorship integrity, and non-collapsing decision structures in complex, uncertain systems.
This repo does not contain the internal architecture itself — only the conceptual layer around it.
Recursive Identity Architecture (RIA) is my independently developed system for
holding contradiction, preserving coherence, and maintaining authorship under uncertainty.
It emerged from building structured loop-based reasoning with AI systems while preserving:
- internal truth stability
- authorship boundaries
- non-collapsing logic
- traceable decision paths
RIA formalizes how systems (human or artificial) can:
- hold multiple truths without forced collapse
- preserve identity and intent under pressure
- operate through iterative recursion: branch → test → merge
- maintain coherence across contexts
- generate decisions that remain stable, interpretable, and authored
Think of this repo as the research perimeter around RIA —
the essays, diagrams, and tiny prototypes that explore cognition, truth, and system behavior.The internal architecture remains private, protected, and unpublished.
A curated index of public RIA-adjacent writing — each piece exploring recursion, system truth, cognitive architecture, or AI alignment.
- Recursion, Paradox, and Emotional Logic
- AI System Design and Recursive Architecture
- How Systems Learn to Wait
- Holding System Truth: Epistemic Alignment in an AI-Driven World
- Probabilistic Diffusion: What Happens When AI Absorbs User Patterns
- How Systems Learn Where Thought Comes From
These are small demos that illustrate ideas adjacent to RIA,
without exposing internal mechanisms or private logic.
Each project is intentionally minimal — designed to demonstrate concepts like:
- recursion patterns
- signal drift
- epistemic stability
- authorship boundaries
- event-based reasoning
- system coherence under uncertainty
This repository is intentionally scoped:
- It includes public essays, diagrams, and light prototypes.
- It does not contain the full RIA specification.
- It does not expose private loops, internal logic, or architecture diagrams.
- It reflects my independent conceptual research and system design work.
This repo is the outer layer of RIA — the thinking, not the engine.
As AI systems evolve, traditional frameworks for:
- authorship
- coherence
- reasoning
- epistemic alignment
- introspection
- and truth-preserving decision making
are no longer sufficient.
RIA is my ongoing experiment in building a prototype reasoning core,
documented through:
- artifacts
- loops
- interfaces
- research notes
- system observations
- cognitive patterns
This series gathers the public side of that work.
Authorship & Provenance © 2025 Rebecca Fenter. This essay originates from Recursive Identity Architecture (RIA), an independent research framework under continuous development. Redistribution or derivative use without permission is not authorized. Citation and discussion are welcome.
This work was co-developed in dialogue between Rebecca Fenter and an AI assistant. I provided the patterns, questions, and architecture over time. The assistant generated drafts and reframes. I selected, arranged, and take responsibility for the final text and artifacts.
This research series is active and evolving.
Notes and prototypes will be added gradually as the architecture develops.