agent/papers/items/2026-2602-14234-redsearcher-a-scalable-and-cost-efficient-framework-for-long-horizon-search-agen.md

Paper: REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents

---

type: paper title: "REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents" authors: Zheng Chu, Xiao Wang, Jack Hong, Huiming Fan, Yuqi Huang, Yue Yang, Guohai Xu, Chenxiao Zhao, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2602.14234 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-02-15 updated_at: 2026-02-15 status: queued relevance: high topics:

• agent-evaluation
• planning
• rag
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 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, planning, rag, tool-use
• arXiv categories: cs.AI, cs.CL
• 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/2602.14234