agent/papers/items/2026-2603-00623-tracesir-a-multi-agent-framework-for-structured-analysis-and-reporting-of-agenti.md

Paper: TraceSIR: A Multi-Agent Framework for Structured Analysis and Reporting of Agentic Execution Traces

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type: paper title: "TraceSIR: A Multi-Agent Framework for Structured Analysis and Reporting of Agentic Execution Traces" authors: Shu-Xun Yang, Cunxiang Wang, Haoke Zhang, Wenbo Yu, Lindong Wu, Jiayi Gui, Dayong Yang, Yukuo Cen, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2603.00623 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-02-28 updated_at: 2026-02-28 status: queued relevance: high topics:

• agent-evaluation
• coding-agent
• multi-agent
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 19 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, coding-agent, multi-agent, reasoning, tool-use
• arXiv categories: cs.AI, cs.CL
• collection score: 19

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/2603.00623