agent/papers/items/2025-2509-20998-core-full-path-evaluation-of-llm-agents-beyond-final-state.md

Paper: CORE: Full-Path Evaluation of LLM Agents Beyond Final State

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type: paper title: "CORE: Full-Path Evaluation of LLM Agents Beyond Final State" authors: Panagiotis Michelakis, Yiannis Hadjiyiannis, Dimitrios Stamoulis year: 2025 venue: arXiv url: https://arxiv.org/abs/2509.20998 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2025-09-25 updated_at: 2025-09-25 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• tool-use
• world-model methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 20 collection_queries: function-calling

One-line Takeaway

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

Why Collected

• matched queries: function-calling
• inferred topics: agent-evaluation, agent-safety, tool-use, world-model
• arXiv categories: cs.AI
• collection score: 20

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/2509.20998