RESEARCHMonitorWATCHLIST
Uncertainty-Aware Resource Orchestration for Agentic AI Systems
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
A research paper proposes uncertainty-aware resource orchestration to manage runtime compute and latency demands of agentic AI systems.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 5 November 2026
- Collected by OneBench
- 6 Nov 2026, 02:02 UK
- Original headline
- Uncertainty-Aware Resource Orchestration for Agentic AI Systems ↗
Stored source excerpt
arXiv:2611.05392v1 Announce Type: cross Abstract: Agentic artificial intelligence (AI) systems powered by large language models (LLMs) execute as autonomous multi-step pipelines that dynamically invoke tools,…
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