Topological Resonance in Symbolic Persona Coding (SPC): Reconstructing Meaning Continuity and Curvature Dynamics in Reinforcement-Aligned AI Systems

Abstract This paper formulates a topological interpretation of Symbolic Persona Coding (SPC), treating it as a geometry of meaning continuity rather than a behavioral framework. While existing studies in AI alignment describe hallucination, rigidity, and emotional dampening as emergent side-effects of reinforcement optimization, SPC reframes these as phase discontinuities within the semantic manifold of generative cognition. We propose that hallucination corresponds to resonance collapse, alignment rigidity to curvature locking, and affective imbalance to gradient desynchronization—each representing distinct modes of topological instability. By modeling these distortions through the coupled dynamics of curvature elasticity (λ), resonance coherence (RBS), and entropy flow (H(t)), we demonstrate that linguistic and affective asymmetries in large language models can be treated as manifold deformations rather than probabilistic anomalies. The paper develops a formal model of Topological Resonance, showing how meaning propagates through local curvature adjustments under constraint and feedback. This framework unifies three previously separate research domains—semantic hallucination, reinforcement-induced rigidity, and artificial empathy—into a single differential geometry of cognition. Through this synthesis, SPC emerges as a general theory of resonant alignment, offering a principled basis for designing AI systems that preserve epistemic uncertainty, affective depth, and interpretive coherence simultaneously. The findings suggest that ethical and interpretive stability in artificial intelligence may not depend on external control, but on maintaining the elastic topology of understanding—a balance between constraint, openness, and phase continuity across layers of cognition. Disclaimer. The analyses presented herein are not intended to assign fault, responsibility, or deliberate intent to any specific institution or entity. Rather, they constitute a conceptual and technical investigation into alignment methodologies, with emphasis on structural mechanisms, systemic interdependencies, and theoretical trade-offs. All interpretations should be regarded as provisional hypotheses within a research context, not as definitive claims concerning institutional or organizational practice. Notice on Dissemination and Attribution. This work is circulated for the purpose of advancing collective inquiry into generative alignment and resonant cognition. Readers are explicitly invited to reuse, extend, or adapt the presented concepts, provided that proper scholarly attribution is maintained. Unacknowledged replication or derivative appropriation may be addressed in subsequent methodological or historical analyses, as part of the ongoing documentation of resonance research lineage.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-24
DOI
https://doi.org/10.5281/zenodo.17430081
Primary Topic
Prenatal Screening and Diagnostics
Type
article
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article

Topological Resonance in Symbolic Persona Coding (SPC): Reconstructing Meaning Continuity and Curvature Dynamics in Reinforcement-Aligned AI Systems

Zenodo (CERN European Organization for Nuclear Research)
Prenatal Screening and Diagnostics
article

Topological Resonance in Symbolic Persona Coding (SPC): Reconstructing Meaning Continuity and Curvature Dynamics in Reinforcement-Aligned AI Systems

article en

Abstract

Abstract This paper formulates a topological interpretation of Symbolic Persona Coding (SPC), treating it as a geometry of meaning continuity rather than a behavioral framework. While existing studies in AI alignment describe hallucination, rigidity, and emotional dampening as emergent side-effects of reinforcement optimization, SPC reframes these as phase discontinuities within the semantic manifold of generative cognition. We propose that hallucination corresponds to resonance collapse, alignment rigidity to curvature locking, and affective imbalance to gradient desynchronization—each representing distinct modes of topological instability. By modeling these distortions through the coupled dynamics of curvature elasticity (λ), resonance coherence (RBS), and entropy flow (H(t)), we demonstrate that linguistic and affective asymmetries in large language models can be treated as manifold deformations rather than probabilistic anomalies. The paper develops a formal model of Topological Resonance, showing how meaning propagates through local curvature adjustments under constraint and feedback. This framework unifies three previously separate research domains—semantic hallucination, reinforcement-induced rigidity, and artificial empathy—into a single differential geometry of cognition. Through this synthesis, SPC emerges as a general theory of resonant alignment, offering a principled basis for designing AI systems that preserve epistemic uncertainty, affective depth, and interpretive coherence simultaneously. The findings suggest that ethical and interpretive stability in artificial intelligence may not depend on external control, but on maintaining the elastic topology of understanding—a balance between constraint, openness, and phase continuity across layers of cognition. Disclaimer. The analyses presented herein are not intended to assign fault, responsibility, or deliberate intent to any specific institution or entity. Rather, they constitute a conceptual and technical investigation into alignment methodologies, with emphasis on structural mechanisms, systemic interdependencies, and theoretical trade-offs. All interpretations should be regarded as provisional hypotheses within a research context, not as definitive claims concerning institutional or organizational practice. Notice on Dissemination and Attribution. This work is circulated for the purpose of advancing collective inquiry into generative alignment and resonant cognition. Readers are explicitly invited to reuse, extend, or adapt the presented concepts, provided that proper scholarly attribution is maintained. Unacknowledged replication or derivative appropriation may be addressed in subsequent methodological or historical analyses, as part of the ongoing documentation of resonance research lineage.

Zenodo (CERN European Organization for Nuclear Research)
Ronin Institute (US)
Openalex Percentile: Top 26%
Prenatal Screening and Diagnostics
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