Author

Preeti Priyam

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#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