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Fast Models, Slow Evidence: A Paired and Self-Audited Evaluation of System-1 Decision Models for LLM Agent Harnesses
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
Research evaluates open-weight Laya and hosted Jev System-1 models for low-latency agent harness decisions across 11 task points.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 5 October 2026
- Collected by OneBench
- 6 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2610.02267v1 Announce Type: cross Abstract: Agent harnesses make many small, typed decisions per task: which model to call, which tool to use, whether retrieved text…
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