agent/papers/items/2026-2606-27406-towards-evaluation-of-implicit-software-world-models-in-coding-llms.md

Paper: Towards Evaluation of Implicit Software World Models in Coding LLMs

---

type: paper title: Towards Evaluation of Implicit Software World Models in Coding LLMs authors: Egor Bogomolov, Yaroslav Zharov year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.27406 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-25 updated_at: 2026-06-25 status: queued relevance: high topics:

• agent-evaluation
• coding-agent
• memory
• reasoning
• world-model methods:

benchmarks:

models:

datasets:

• cs.SE
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 18 collection_queries: ai-agent, coding-agent

One-line Takeaway

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

Why Collected

• matched queries: ai-agent, coding-agent
• inferred topics: agent-evaluation, coding-agent, memory, reasoning, world-model
• arXiv categories: cs.SE, cs.AI
• collection score: 18

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/2606.27406