Empirical Validation of the Holosynthics Periodic Table: Cross-Model Universality, Hallucination Detection, and Surgical Repair Across Transformer Architectures
Empirical validation of the Holosynthics periodic table across 11 transformer models from 9 organizations (117M to 9B parameters, 2019-2025). All eight irreducible information types confirmed in 10/11 models. 100% atom classification on Llama 3.1 8B (962 atoms). Dual-signal hallucination detection: 10/10 accuracy. Surgical repair: average x1.86 (GPT-2 Small) and x9.08 (Llama 3.1 8B). 3,000 sequential edits (60x ROME). Classification, detection, and repair methods protected by USPTO provisional patents 64/029,741, 64/048,143, 64/092,514, 64/092,517.
Authors
- Yonathan Shalev
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-17
- DOI
- https://doi.org/10.5281/zenodo.20736158
- Primary Topic
- Hallucinations in medical conditions
- Type
- preprint