Mitigating Anchoring Bias in LLM-Based Agents for Energy-Efficient 6G Autonomous Networks

Collection of recent papers on wireless networking, network resilience, and censorship circumvention with clear security and privacy implications. Key items: (1) a 6G autonomous LLM-agent framework for zero-touch network slicing that identifies anchoring bias and proposes a randomized mitigation strategy integrated with Digital Twins and CVaR to meet SLA tail-latencies (claims up to 25% energy savings and sub-second inference on a 1B-parameter model); (2) a multilayer model of Australia’s Internet that analyzes redundancy and Shared Risk Link Group (SRLG) vulnerabilities across ISPs; (3) two 5