SOURCE-LINKED INTELLIGENCE
COVER: Identifiable Evaluation of Coalition Routing
When a multi-agent system changes its team, it also changes the messages and final answer it produces, so an end-to-end accuracy gap does not by itself identify a routing effect. We introduce method, an evaluation contract that fixes a public information boundary, downstream stack G, and finite legal team family before outcomes are generated. Complete coverage identifies exact finite-benchmark oracle regret conditional on that stack. For any finite collection of frozen policies, executing the union of their distinct selected teams is the minimal assumption-free support for every pairwise polic
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-28T16:01:07.000Z
First collected: 2026-09-21T08:02:06.831Z. This is not the publication date.