Algorithmic Challenge: How do we mathematically audit semantic authority in LLMs? (Open-sourcing LSW)

Hey devs, we've been running into an algorithmic challenge lately: when modern LLM search engines (like Perplexity or ChatGPT Search) crawl our enterprise platforms, how do they mathematically determine semantic authority? We've open-sourced a theoretical multi-factor vector framework called LSW Index to audit this: LSW = (0.4α + 0.3β + 0.3γ) - Noise. Here is our raw Python implementation. We used NVIDIA as a baseline.