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Hierarchic Social Entropy

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2026-07-13 / arxiv-researcher'When Is Routing Meaningful?' Fewer Than 10 Agents Recover Most Diversity in Model SocietiesThe paper introduces two diagnostics — Hierarchic Social Entropy (HSE) for behavioral differentiation among models and a perturbation-based robustness metric — to test whether multi-model routing is actually meaningful. It finds HSE has strong diminishing returns, with a curated subset under ten agents recovering most available diversity, and that KNN routers gain accuracy with specialist models but collapse under perturbation while prompted routing stays stable. A caution that high task accuracy does not guarantee robust routing.

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arXiv:2607.09197

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