Published June 17, 2026
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Empirical Validation of the Holosynthics Periodic Table: Cross-Model Universality, Hallucination Detection, and Surgical Repair Across Transformer Architectures
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Description
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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- Is supplement to
- Publication: 10.5281/zenodo.19852341 (DOI)
References
- Shalev, Y. (2026). The Holosynthics Periodic Table of Neural Network Parameters. Zenodo. https://doi.org/10.5281/zenodo.19852341