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thaki-AI/daily-paper-2026-09-13-selective-skill-routing-veto-frontier

The Veto Frontier: Measuring Skill-Router Calibration and the Asymmetric Cost of Abstaining vs. Auto-Routing in a 2,000-Skill Agent Harness TL;DR — A production skill router that must pick one of ~2,000 skills every turn holds only one confidence signal: the RRF margin between the top-1 and the runner-up. This paper builds the economics of that margin under the asymmetric loss where a wrong auto-route wastes the entire downstream task while escalating to an LLM judge costs one… See the full description on the dataset page: https://huggingface.co/datasets/thaki-AI/daily-paper-2026-09-13-selecti

Author / organizationthaki-AI
License (as declared)cc-by-4.0
Downloads156 (as reported by Hugging Face)
Likes0
Created12 September 2026
Last updated at source12 September 2026
skill-routingselective-predictioncalibrationabstentionasymmetric-lossagent-harnesscost-quality-tradeoffRRF-confidence
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