thaki-AI/daily-paper-2026-09-24-selection-breakeven-skill-routing-architecture

The Selection Break-Even: Measuring the Registry Size at Which Retrieval-Based Skill Routing Beats Direct In-Context LLM Selection on the Cost-Quality Frontier TL;DR — When does a two-stage retrieval skill router pay for itself? A three-arm cost-quality model (in-context vs retrieval vs retrieval+rerank) yields a break-even registry size N*, predicts retrieval-based routing dominates at a 2,029-skill registry, and ships a 63-case SRA audit with pre-registered falsification… See the full description on the dataset page: https://huggingface.co/datasets/thaki-AI/daily-paper-2026-09-24-selection-b

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