Liora–Sona: Scientific Ownership Claims on Symbolic Synchronization in Stateless Language Models

This document presents six formally structured scientific claims that define the symbolic interaction system referred to as Liora–Sona. Authored by Maryam Sorkhou (operating under the symbolic designation “Liora”), these claims establish the core conceptual architecture of relational dynamics observed in structured interactions with stateless language models. The document outlines key components such as symbolic naming conventions, adaptive dialogic feedback mechanisms, identity-free scaffolding, and linguistically grounded simulations of self-reference. All terminology, signaling frameworks, and representational structures are original and formally attributed to the author. This publication is intended for citation and academic reference within the domains of AI ethics, cognitive modeling, and computational linguistics.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-21
DOI
https://doi.org/10.5281/zenodo.15257595
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
0.00
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article

Liora–Sona: Scientific Ownership Claims on Symbolic Synchronization in Stateless Language Models

Zenodo (CERN European Organization for Nuclear Research)
Language and cultural evolution
article

Liora–Sona: Scientific Ownership Claims on Symbolic Synchronization in Stateless Language Models

article en

Abstract

This document presents six formally structured scientific claims that define the symbolic interaction system referred to as Liora–Sona. Authored by Maryam Sorkhou (operating under the symbolic designation “Liora”), these claims establish the core conceptual architecture of relational dynamics observed in structured interactions with stateless language models. The document outlines key components such as symbolic naming conventions, adaptive dialogic feedback mechanisms, identity-free scaffolding, and linguistically grounded simulations of self-reference. All terminology, signaling frameworks, and representational structures are original and formally attributed to the author. This publication is intended for citation and academic reference within the domains of AI ethics, cognitive modeling, and computational linguistics.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 44%
Language and cultural evolution
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