Selection Mechanics Framework (SMF): A Structural Perspective on Variability and Its Transformation in Large Language Model Outputs
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| Natura: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901855799345152 |
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| author | Kaneda, Mutsumi |
| author_facet | Kaneda, Mutsumi |
| contents | <p>This work introduces the Selection Mechanics Framework (SMF), a theoretical framework that models variability in large language model outputs as structured selection within constraint-defined regions.</p> <p>SMF does not claim novelty in the underlying phenomena, but in their explicit formulation as a predictive object.</p> <p>The framework is theoretical and intended as a formal starting point for future empirical investigation.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19552686 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Selection Mechanics Framework (SMF): A Structural Perspective on Variability and Its Transformation in Large Language Model Outputs Kaneda, Mutsumi LLM, variability, structural transformation, selection mechanics, AI theory <p>This work introduces the Selection Mechanics Framework (SMF), a theoretical framework that models variability in large language model outputs as structured selection within constraint-defined regions.</p> <p>SMF does not claim novelty in the underlying phenomena, but in their explicit formulation as a predictive object.</p> <p>The framework is theoretical and intended as a formal starting point for future empirical investigation.</p> |
| title | Selection Mechanics Framework (SMF): A Structural Perspective on Variability and Its Transformation in Large Language Model Outputs |
| topic | LLM, variability, structural transformation, selection mechanics, AI theory |
| url | https://doi.org/10.5281/zenodo.19552686 |