Safety of self-evolving systems
Key facts. Safety of self-evolving systems: 47 papers on arXiv since 2023 (data through 7 Oct 2026). 4 of its 47 mapped papers (9%) cite “Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections” (2026, arXiv 2602.15654). 3 of its 47 mapped papers (6%) cite “Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models” (2025, arXiv 2506.07468). 2 new papers 17 Sep–7 Oct.
What’s new
17 Sep – 7 Oct 2026
2 new since 17 Sep
Foundations
Most cited by papers here
- Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections2026cited by 4 here
- Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models2025cited by 3 here
- SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models2024cited by 2 here
- OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiences2026cited by 2 here
- Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models2023cited by 1 here
Lineage
The papers this direction builds on, oldest first.
Each paper on the line cites the one before.
- 2022Large Language Models Can Self-Improvecited by 1 here
- 2023DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelinescited by 1 here
- 2025Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agentscited by 2 here
- 2025A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligencecited by 3 here
- 2025Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agentscited by 5 here
- 2026Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injectionscited by 4 here
- 2026OEP: Poisoning Self-Evolving LLM Agents via Locally Correct but Non-Transferable Experiencescited by 2 here
17 more it builds on, not in this chain
- 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Modelscited by 2 here
- 2023Simple synthetic data reduces sycophancy in large language modelscited by 1 here
- 2023Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolutioncited by 3 here
- 2023Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Modelscited by 1 here
- 2024Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Modelscited by 2 here
- 2024Self-Rewarding Language Modelscited by 1 here
- 2024Self-playing Adversarial Language Game Enhances LLM Reasoningcited by 2 here
- 2024SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Modelscited by 2 here
- 2025Absolute Zero: Reinforced Self-play Reasoning with Zero Datacited by 3 here
- 2025Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Modelscited by 3 here
- 2025R-Zero: Self-Evolving Reasoning LLM from Zero Datacited by 2 here
- 2025A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systemscited by 2 here
- 2025EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecyclecited by 2 here
- 2026CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verificationcited by 3 here
- 2026On Safety Risks in Experience-Driven Self-Evolving Agentscited by 2 here
- 2026SkillOpt: Executive Strategy for Self-Evolving Agent Skillscited by 3 here
- 2026MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluationcited by 2 here
The 24 most cited of 60.
Browse
30 of 47, ranked 6–35
- 6Trojan's Whisper: Stealthy Manipulation of OpenClaw through Injected Bootstrapped Guidance20261
- 7Membrane: A Self-Evolving Contrastive Safety Memory for LLM Agent Defense20261
- 8Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies20261
- 9Know Thy Enemy: Securing LLMs Against Prompt Injection via Diverse Data Synthesis and Instruction-Level Chain-of-Thought Learning20260
- 10Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience Replay20260
- 11TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment20260
- 12Efficient and Adaptable Detection of Malicious LLM Prompts via Bootstrap Aggregation20260
- 13SaFeR-Steer: Evolving Multi-Turn MLLMs via Synthetic Bootstrapping and Feedback Dynamics20260
- 14SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking20260
- 15Disentangling Intent from Role: Adversarial Self-Play for Persona-Invariant Safety Alignment20260
All 30
- 16Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization20260
- 17Proteus: A Self-Evolving Red Team for Agent Skill Ecosystems20260
- 18BYORn: Bootstrap Your Own Responses to Defend Large Vision-Language Models Against Backdoor Attacks20260
- 19AgentTrust: A Self-Improving Trust Layer for AI-Agent Actions20260
- 20Self-Evolving Just-In-Time Memory for Proactive Embodied Safety20260
- 21GPT-Red: Automated Red Teaming via Self-Play at Scale20260
- 22When Experience Becomes Instruction: Trajectory Poisoning in Self-Evolving Agent Skill Systems20260
- 23Query-Only Backdoor Attacks on Self-Evolving Skills via Trajectory Poisoning20260
- 24Yesterday's Shield, Today's Spear: A Self-Evolving Safety Guardrail in Production20260
- 25ActBench: Self-Evolving Benchmark of Behavioral Safety in Cowork Agents20260
- 26Practice Makes Unsafe: Skill Misevolution in Self-Improving LLM Agents20260
- 27Beyond Handcrafted Security: Towards Self-Evolving Defense for LLM Agents20260
- 28EVOMAL: Self-Poisoning in Self-Evolving Coding Agents20260
- 29A Self-Evolving Multi-Agent Framework Defense against LLM Jailbreak Attacks20260
- 30SIR: Self-improving Red-teaming for Compute Use Agents20260
- 31EvoSkill Injection: Red-Teaming Autonomous Skill Generation and Evolution in Self-Evolving Agents20260
- 32Harness-agnostic detection and immunization of reward hacking in self-evolving language models20260
- 33Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning20250
- 34AgentSGEN: Multi-Agent LLM in the Loop for Semantic Collaboration and GENeration of Synthetic Data20250
- 35TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis20250