The Holosynthics periodic table was validated across 11 transformer models, confirming eight irreducible information types in 10 models and achieving 10/10 hallucination detection accuracy.
Empirical validation of the Holosynthics periodic table demonstrates high accuracy in atom classification, hallucination detection, and surgical repair across various transformer models.
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.
Yonathan Shalev (Wed,) reported a other. Holosynthics periodic table was evaluated on Validation of irreducible information types and hallucination detection accuracy. The Holosynthics periodic table was validated across 11 transformer models, confirming eight irreducible information types in 10 models and achieving 10/10 hallucination detection accuracy.