Empirical proof of SOTA LLM (GPT-5/Gemini-Pro/Claude-Pro) context saturation in complex engineering. Contains the "Misuraca Protocol" for deterministic logical segmentation to prevent entropy drift.
-
Updated
Dec 10, 2025
Empirical proof of SOTA LLM (GPT-5/Gemini-Pro/Claude-Pro) context saturation in complex engineering. Contains the "Misuraca Protocol" for deterministic logical segmentation to prevent entropy drift.
Add a description, image, and links to the misuraca-standard topic page so that developers can more easily learn about it.
To associate your repository with the misuraca-standard topic, visit your repo's landing page and select "manage topics."