Testing HDT²/GIT Runtime Inquiry Structure Against Standard Structured Prompting in Domain-Bounded AI Reasoning
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.
Authors
- Bruce Tisler
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-23
- DOI
- https://doi.org/10.5281/zenodo.20357341
- Primary Topic
- Scientific Computing and Data Management
- Type
- preprint