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Auditable Belief Updates as a Missing Safety Layer for LLM-Powered Multi-Agent Systems
Large Language Models (LLMs) are increasingly being used as cognitive interfaces that shape how users interpret evidence, communicate, and make decisions. As deployed systems become more multimodal, tool-using, and multi-agent, safety failures no longer arise only from isolated harmful outputs, but
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