agent/papers/items/2026-2606-18023-loopcoder-v2-only-loop-once-for-efficient-test-time-computation-scaling.md

Paper: LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling

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type: paper title: "LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling" authors: Jian Yang, Shawn Guo, Wei Zhang, Tianyu Zheng, Yaxin Du, Haau-Sing Li, Jiajun Wu, Yue Song, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.18023 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-16 updated_at: 2026-06-16 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.LG
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: tool-use

One-line Takeaway

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

Why Collected

• matched queries: tool-use
• inferred topics: agent-evaluation, coding-agent, memory, reasoning, tool-use
• arXiv categories: cs.LG, cs.AI
• 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/2606.18023