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Toward an Unbiased Collective Memory for Efficient LLM-Based Agentic 6G Cross-Domain Management
Agentic artificial intelligence is a candidate enabler of Level-4 autonomy in sixth-generation (6G) networks, but agents reasoning over a shared memory inherit its distortions. We study cross-domain radio access network (RAN)--edge orchestration in which a RAN agent minimizing energy and an edge age
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