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Surya Saka

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#artificial intelligence Preprint Sep 2026

When Can a Machine Trust a Statute? A Survival Certificate for Machine-Extracted Legal Logic

A passive survival certificate is built for the Duquenne-Guigues implication basis of machine-extracted statutory contexts: per-attribute inter-extractor disagreement is measured, replayed against the basis in 1,000 Monte Carlo trials, and an implication is certified only when a one-sided Wilson 95% lower bound on surv...

Surya Saka · 0 citations
Review Jul 2026

Calibrated Trust, Not Sharper Prediction: An Empirical Test of Uncertainty Fusion

A recurring proposal in legal AI is to improve case-outcome prediction by fusing uncertainty tools (evidence graphs with belief propagation, sequential Bayesian odds updating, Dempster-Shafer combination, and conformal prediction) into one pipeline. We test this on 1,000 real European Court of Human Rights cases from L...

Surya Saka · 0 citations

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