AI RESEARCH
R2V Agent: Teaching SLMs When to Ask for Help
arXiv CS.LG
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ArXi:2605.16604v1 Announce Type: new Efficient agentic systems should incur expensive frontier-model costs only on decisions where a cheaper local model is likely to fail. Existing LLM cascades usually route whole queries before execution, but task difficulty shifts mid-trajectory - after flaky tool calls, truncated observations, or compounding local errors - making pre-execution routing brittle. We