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SAS: An Open-Source Framework for Generative AI Hallucination Detection Based on Topological Data Analysis

SAS (Symbiotic Autoprotection System) is an open-source API framework specifically designed to detect structural hallucinations in generative AI outputs. Developed by Gonzalo Emir Durante, this project combines Topological Data Analysis (TDA), numerical invariance checks, and modular detection probes, achieving an accuracy of 98.8% and a precision of 100% on 2000 pairs of test samples.

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Published 2026-04-30 07:07Recent activity 2026-04-30 07:18Estimated read 1 min
SAS: An Open-Source Framework for Generative AI Hallucination Detection Based on Topological Data Analysis
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导读 / 主楼:SAS: An Open-Source Framework for Generative AI Hallucination Detection Based on Topological Data Analysis

Introduction / Main Post: SAS: An Open-Source Framework for Generative AI Hallucination Detection Based on Topological Data Analysis

SAS (Symbiotic Autoprotection System) is an open-source API framework specifically designed to detect structural hallucinations in generative AI outputs. Developed by Gonzalo Emir Durante, this project combines Topological Data Analysis (TDA), numerical invariance checks, and modular detection probes, achieving an accuracy of 98.8% and a precision of 100% on 2000 pairs of test samples.