Testing HDT²/GIT Runtime Inquiry Structure Against Standard Structured Prompting in Domain-Bounded AI Reasoning
Year: 2026
Type: preprint
Abstract: Preregistration (Version 1.0) for a computational evaluation study testing whether an HDT²/GIT runtime inquiry pipeline improves domain-bounded AI reasoning beyond base-model use, retrieval augmentation, standard structured prompting, and generic multi-stage scaffolding. The study uses ablation-based primary analysis across five preregistered behavioral metrics with locked effect-size thresholds, neutral-label controls, and predefined pass/fail conditions. Methodological inspiration drawn from Vargas-Barroso et al. (2026, Nature Communications) without claiming biological equivalence. No amendments filed as of deposit.
Author: Tisler, Bruce
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7162200204