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ADCCL: A Heuristic Drift Detection System for Autonomous LLM Output Quality

Year: 2026

Type: article

Abstract: A non-stochastic governance layer (ADCCL) that eliminates epistemic drift in reasoning systems by enforcing a geometric boundary on reasoning trajectories. The threshold theta = 0.7 is grounded in the Information Tension framework whose Sovereign Invariant kappa = 0.9539 fits the real SPARC rotation-curve database without dark matter. The high-redshift boost is noted as a theoretical prediction, not an observation. License: CC-BY-4.0.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20117464

Author: Yett, R.W.

Language: English

Topic: Psychiatry, Mental Health, Neuroscience

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7160822736

FWCI:

Cites: 2

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