CAFE finds positive distributional Jensen Gaps across five multi-agent LLM architectures under semantic stress, showing that quality drops can coexist with detectable stress geometry compatible with antifragile learning.
Mathematical definition, mapping, and detec- tion of (anti) fragility
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When Stress Becomes Signal: Detecting Antifragility-Compatible Regimes in Multi-Agent LLM Systems
CAFE finds positive distributional Jensen Gaps across five multi-agent LLM architectures under semantic stress, showing that quality drops can coexist with detectable stress geometry compatible with antifragile learning.