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V. Singh

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#artificial intelligence Preprint Sep 2026

Governing the Edge: Automating Commercial Property and Casualty Insurance Underwriting via a Hybrid Local-Cloud Multi-Agent Framework

Governing the Edge, a multi-agent framework for that layer, organized around a data-residency constraint: sensitive submission data must not leave the perimeter, is presented, organized around a data-residency constraint.

V. Singh, Gautam Bhowmick · 0 citations
#artificial intelligence Preprint Sep 2026

Planner-as-Router: Joint Plan-Time Model Routing for Cost-Efficient Multi-Agent Workflows

PaR stays on the observed cost-accuracy frontier, matches a sink-frontier heuristic in accuracy at comparable cost and a faithful FrugalGPT cascade at lower cost, and cuts cost 44% against all-frontier routing while giving up 2.9 points of accuracy.

V. Singh, Preeti Priyam, Gautam Bhowmick · 0 citations
Preprint Sep 2026

ChurnBench: A Drift-Aware Benchmark Demonstrating That Refresh Scheduling, Not Cache Age, Governs Staleness in Agentic AI

ChurnBench is presented, an open-source benchmark that generates a four-source enterprise data fabric as a timeline rather than a snapshot, and it is found that when a system refreshes on a schedule, cache age does not predict staleness.

V. Singh, Preeti Priyam, Gautam Bhowmick · 0 citations

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