Agentic Governance and Adversarial Verification for Policy-Constrained LLM Healthcare Appeal Generation

arXiv:2609.27844 · cs.AI, cs.CL, cs.IR, cs.MA · Submitted 2026-08-20 · Read on arXiv

cs.AI, cs.CL, cs.IR, cs.MA

Submitted: 2026-08-20

Updated: 2026-08-20

Terminology

• Grounding — 29× in this paper · explained in 3 episodes
• Admissibility — 18× in this paper · explained in 2 episodes
• Verification — 16× in this paper · explained in 2 episodes
• RAG — 11× in this paper · explained in 3 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Retrieval-Augmented Generation — 5× in this paper
• Trace — 5× in this paper · explained in 2 episodes
• Constrained Markov Decision Process — 4× in this paper
• Fidelity — 4× in this paper · explained in 2 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• Human-in-the-Loop — 3× in this paper · explained in 3 episodes
• Iterative Refinement — 3× in this paper · explained in 3 episodes
• Agentic Architecture — 2× in this paper · explained in 1 episode
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Multi-Agent System — 2× in this paper · explained in 5 episodes
• Provenance — 2× in this paper · explained in 3 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Agent Architectures — 1× in this paper · explained in 1 episode
• Agentic AI — 1× in this paper · explained in 1 episode
• Agentic Governance and Adversarial Verification Framework — 1× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes

Sources

• Improving Factuality and Reasoning in Language Models through Multiagent Debate
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Self-Refine: Iterative Refinement with Self-Feedback
• RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
• Reflexion: Language Agents with Verbal Reinforcement Learning
• Tree of Thoughts: Deliberate Problem Solving with Large Language Models

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