agent/papers/items/2026-2606-05241-search-time-contamination-in-deep-research-agents-measuring-performance-inflatio.md

Paper: Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation

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type: paper title: "Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation" authors: Yongjie Wang, Xinyue Zhang, Kunhong Yao, Zhiwei Zeng, Kaisong Song, Jun Lin, Zhiqi Shen year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.05241 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-03 updated_at: 2026-06-03 status: queued relevance: high topics:

• agent-evaluation
• rag
• reasoning methods:

benchmarks:

models:

datasets:

• cs.CR
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: agent-evaluation

One-line Takeaway

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

Why Collected

• matched queries: agent-evaluation
• inferred topics: agent-evaluation, rag, reasoning
• arXiv categories: cs.CR, cs.AI
• collection score: 16

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/2606.05241