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agent/papers/items/2026-2607-08983-scate-learning-to-supervise-coding-agents-for-cost-effective-test-generation.md
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2026-07-27 16:28:23 +08:00

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Paper: SCATE: Learning to Supervise Coding Agents for Cost-Effective Test Generation


type: paper title: "SCATE: Learning to Supervise Coding Agents for Cost-Effective Test Generation" authors: Sijia Gu, Noor Nashid, Ali Mesbah year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.08983 code_url: source: arxiv collected_at: 2026-07-27 published_at: 2026-07-09 updated_at: 2026-07-09 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

  • cs.SE related_concepts:

collection_score: 14 collection_queries: coding-agent

One-line Takeaway

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

Why Collected

  • matched queries: coding-agent
  • inferred topics: agent-evaluation, coding-agent, rag, tool-use
  • arXiv categories: cs.SE
  • collection score: 14

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?