On Informational Admissibility in High-Resolution Biological Systems

This work was developed in conjunction with the Collaborative Thought Engine (CTE), a multi-model research methodology integrating structured interactions with large language models including ChatGPT, Gemini, and Claude. These systems were used as analytical scaffolds for conceptual stress-testing, structural clarification, and adversarial refinement of arguments, rather than as sources of original claims. All theoretical positions, constraints, and conclusions presented here are attributable to the author; the CTE functioned as an instrument for accelerating and stabilizing high-dimensional reasoning during development.