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Paper Proposes Eliciting Skill Routing Directly from a Frozen LLM
A new arXiv paper argues that current agent frameworks pick skills by loading all skill metadata into the context window, which spreads the model's attention thin and limits how many skills can be offered. The authors instead describe a method for surfacing routing behavior that already exists inside a frozen language model, avoiding that metadata overhead. The work appears under arXiv identifiers 2609.15982v1 in both the cs.AI and cs.LG listings.