RESEARCHMonitorWATCHLIST
Recursive Semantic Divergence for LLM Agent Consistency
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
A new arXiv paper introduces Recursive Semantic Divergence to measure non-deterministic behavioral drift in LLM agents across runs.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 27 October 2026
- Collected by OneBench
- 28 Oct 2026, 02:01 UK
- Original headline
- Recursive Semantic Divergence for LLM Agent Consistency ↗
Stored source excerpt
arXiv:2610.33012v1 Announce Type: new Abstract: Large Language Model (LLM) agents with tool use exhibit inconsistent behavior across independent runs from identical states, calling different tools,…
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