agent/papers/items/2026-2606-17383-model-validation-of-agentic-ai-systems-a-pomdp-based-framework-for-belief-state-.md

Paper: Model Validation of Agentic AI Systems: A POMDP-Based Framework for Belief-State, Forecast, and Policy Validation

---

type: paper title: "Model Validation of Agentic AI Systems: A POMDP-Based Framework for Belief-State, Forecast, and Policy Validation" authors: Matthew Francis Dixon year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.17383 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-16 updated_at: 2026-06-16 status: queued relevance: high topics:

• agent-safety
• rag
• tool-use methods:

benchmarks:

models:

datasets:

• q-fin.RM
• cs.AI
• cs.LG
• stat.ML related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: autonomous-agent-llm

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: autonomous-agent-llm
• inferred topics: agent-safety, rag, tool-use
• arXiv categories: q-fin.RM, cs.AI, cs.LG, stat.ML
• collection score: 13

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.17383