Epistemic Policy Divergence in Multi-Turn LLM Contamination: A Protocol-Gradient Investigation

arXiv:2609.35308 · cs.CL · Submitted 2026-09-28 · Read on arXiv

cs.CL

Submitted: 2026-09-28

Updated: 2026-10-07

Code: https://github.com/fahrellgiovanny/epistemic-policy-divergence

Terminology

• Accuracy — 26× in this paper · explained in 1 episode
• Hallucination — 24× in this paper · explained in 3 episodes
• RAG — 23× in this paper · explained in 3 episodes
• Benchmark — 20× in this paper · explained in 2 episodes
• Alignment — 13× in this paper · explained in 1 episode
• Core — 13× in this paper · explained in 2 episodes
• Verification — 12× in this paper · explained in 2 episodes
• Adam — 10× in this paper · explained in 2 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Calibration — 9× in this paper · explained in 7 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Provenance — 6× in this paper · explained in 3 episodes
• Sycophancy — 6× in this paper · explained in 4 episodes
• Failure Modes — 5× in this paper · explained in 3 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Agentic System — 4× in this paper · explained in 2 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• Transformer Architecture — 3× in this paper · explained in 2 episodes
• Axioms — 2× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• General Language Model — 2× in this paper
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Multi-Agent System — 2× in this paper · explained in 5 episodes
• State Management — 2× in this paper · explained in 3 episodes
• Structured Reasoning — 2× in this paper · explained in 3 episodes
• alpha — 2× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Agent Architectures — 1× in this paper · explained in 1 episode
• Agent Memory — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Benchmarks for Retrieval Augmented Generation — 1× in this paper
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hallucination Mitigation — 1× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 1× in this paper
• Pragmatics — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Retrieval Augmented Generation (RAG) — 1× in this paper · explained in 4 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Constitutional AI: Harmlessness from AI Feedback
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Your Agentic LLMs Secretly Encode Indirect Prompt-Injection Exposure in Hidden States
• GLM: General Language Model Pretraining with Autoregressive Blank Infilling
• Trojan Horse Prompting: Jailbreaking Conversational Multimodal Models by Forging Assistant Message
• Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
• Gemini: A Family of Highly Capable Multimodal Models
• Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
• ChannelGuard: Safe Models Do Not Compose into Safe Multi-Agent Systems
• A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
• A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
• Survey of Hallucination in Natural Language Generation
• When AI Meets the Web: Prompt Injection Risks in Third-Party AI Chatbot Plugins
• HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
• CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges
• MemOS: A Memory OS for AI System
• Momento: Evaluating Persistent Memory and Reasoning with Multi-Session Agentic Conversations
• MemGPT: Towards LLMs as Operating Systems
• Ignore Previous Prompt: Attack Techniques For Language Models
• Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models

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