The Anti-Drift Cognitive Control Loop (ADCCL): A Geometric Foundation for Hallucination-Free Autonomous Reasoning

Ryan W. Yett

doi:10.5281/zenodo.20117464

July 15, 2026Open Access

The Anti-Drift Cognitive Control Loop (ADCCL): A Geometric Foundation for Hallucination-Free Autonomous Reasoning

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Key Points

This study aims to establish a geometric foundation for ensuring stability and preventing drift in autonomous reasoning systems.
Introduces a 13-metric cognitive control loop framework.
Formalizes the sovereignty threshold as a geometric gate.
Utilizes Lean 4 for verification of the proposed framework.
The cognitive control loop framework maintains alignment stability effectively.
Proposed geometric gate minimizes drift during reasoning processes.

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Implication

Presents a framework to enhance alignment stability in autonomous reasoning systems, suggesting improved cognitive control.

Abstract

Introduces a 13-metric cognitive control loop framework for maintaining alignment stability and preventing drift in autonomous LLM reasoning systems. Formalizes the sovereignty threshold as a geometric gate with Lean 4 verification.

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Cite This Study

Ryan W. Yett (2026) studied this question.

synapsesocial.com/papers/6a59c568a58755010b470f12 https://doi.org/10.5281/zenodo.20117464

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The Anti-Drift Cognitive Control Loop (ADCCL): A Geometric Foundation for Hallucination-Free Autonomous Reasoning

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

The Anti-Drift Cognitive Control Loop (ADCCL): A Geometric Foundation for Hallucination-Free Autonomous Reasoning

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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