The Semantic Relativity Theory is a conceptual and analytical framework developed to study the behavior of meaning under conditions of interaction between humans and probabilistic language models.
It examines how semantic structures deform, collapse, or remain stable when exposed to interpretive processes that cannot be directly observed—processes governed by statistical inference rather than human intentionality.
TRS introduces a unified architecture composed of several complementary components:
- CHORDS⁺ — a structural and contextual model for analyzing discourse coherence;
- Code-Switching (CS) — a dynamic system for interpretive adaptation;
- DCS / CNO — mathematical constructs to describe semantic curvature and observer-dependent collapse;
- IRP (Index of Paraphrastic Resistance) — a metric for evaluating semantic preservation and drift.
The theory has been developed through iterative experimentation and validated through controlled observation of human–AI semantic interaction.
All versions, modules, and associated research materials are formally registered through Zenodo DOIs.
This website provides a clean, minimal, and authoritative overview of the theory, along with direct access to its official publications.