Author

David J. Wild

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#artificial intelligence Preprint Sep 2026

Language Is an Insufficient Substrate for Quantitative Reasoning, and Consequential Domains Need Large Quantitative Models

It is argued that reproducibility, lineage from every output back to the source records that produced, and calibrated uncertainty define a distinct model class, which is called the Large Quantitative Model (LQM).

Reuben Vandeventer, David Imrem, David J. Wild · 0 citations

#artificial intelligence Preprint Sep 2026

SENTINEL-RL: Offloading Topological Reasoning from LLM Agents in the Security Operations Center

This work presents Sentinel-RL, an agentic-SOC architecture that decouples topological reasoning from semantic reasoning, and contributes a reusable engineering pattern, a portable HPC deployment pattern, and an enterprise-readiness analysis covering false-positive economics, reversibility guarantees, audit compliance,...

Uday Vallabhaneni, Cassie L. Cagwin, David J. Wild · 2 citations · ⚡1