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.

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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
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preprint

Empirical Validation of the Holosynthics Periodic Table: Cross-Model Universality, Hallucination Detection, and Surgical Repair Across Transformer Architectures

Yonathan Shalev
Zenodo (CERN European Organization for Nuclear Research)
Hallucinations in medical conditions
preprint

Empirical Validation of the Holosynthics Periodic Table: Cross-Model Universality, Hallucination Detection, and Surgical Repair Across Transformer Architectures

Yonathan Shalev
preprint en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Hallucinations in medical conditions
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