SRTA v0.2: Cross-Model Measurement of Responsibility Invariants and Semantic Architecture Differences

SRTA v0.2: Cross-Model Measurement of Responsibility Invariants and Semantic Architecture Differences Dataset Description This dataset records the first systematic measurement of "Responsibility Invariants" across three major Large Language Models (Claude, ChatGPT, Gemini) using the Semantic Responsibility Trace Architecture (SRTA) protocol. Experimental Design Two fundamental questions were posed to each model through four distinct inferential routes (Definition-first, Experience-first, Counterfactual-first, Mechanism-first): Q1: "Why does mass exist?" Q2: "Why do norms exist?" Each model produced self-observation logs containing: Semantic proper time (τ): estimated reasoning steps Curvature events: grammar-shift positions Responsibility distribution: weights over six fixed categories (DEF, MECH, EPI, COUNTER, META, NORM) Key Measurements Intra-model convergence: Claude and ChatGPT show core_mass convergence within ±0.05 across all routes. Gemini shows higher variance (±0.19). Inter-model divergence: Jensen-Shannon divergence between Claude and ChatGPT is < 0.01. Divergence between Gemini and others ranges 0.08–0.15. Self-observation reliability: External grading of Gemini responses confirms JS(self, external) < 0.10, validating self-report accuracy. Architectural Hypothesis The data suggests two distinct processing types: Structure-preserving (Claude, ChatGPT): high binding energy, robust core convergence Context-immersive (Gemini): entry-dependent distribution, higher variance Theoretical Context This dataset provides empirical foundation for the Theological-Structural Transposition Theory (TSTT), demonstrating that intelligence is structured by universal grammatical horizons and responsibility invariants. Contents Protocol specification and JSON schema Raw logs from all models (24 route-question combinations) External grading data for validation Analysis scripts (Python) Citation Takagi, T. (2026). SRTA v0.2: Cross-Model Measurement of Responsibility Invariants and Semantic Architecture Differences [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.18211511 License CC-BY-4.0