VERDICT WEIGHT™: Adversarial Trajectory Detection, Causal Attribution, and Information-Theoretic Bounds for Autonomous AI Confidence Scoring

Zenodo (CERN European Organization for Nuclear Research) 2026 Preprint Open access

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Authors: Byrd Andre
DOI: 10.5281/zenodo.19447546
Cited by: 4

Abstract

v1.2.0 — Stream 5 (Cross-Temporal Consistency), Shapley causal attribution, and Shannon channel capacity bounds. 172 tests passing. Cohen's d = -6.66, AUC = 1.000, Brier = 0.0536. Harness: github.com/Odingard/verdict-weight

Fields of Study & Subjects

Adversarial Robustness in Machine Learning Explainable Artificial Intelligence (XAI) Ethics and Social Impacts of AI

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 May 2026
Document type
Preprint