Journal article
Predicting Your Own Failure Is Not Predicting Another Model's Advantage: What Router Results Establish About Agent Self-Knowledge, and the Incremental-Validity Test Nobody Has Run
A common reading of the LLM routing literature holds that delegation works without self-knowledge: a router allocates queries using external features of the task and observed outcome statistics over a model pool, and never consults the candidate model's opinion of its own competence. This paper…