# Paper: CoACT: Action-Preserving Observation Compression for Coding Agents --- type: paper title: "CoACT: Action-Preserving Observation Compression for Coding Agents" authors: Haorui Chen, Yuancheng Zhu, Yitong Zhang, Jia Li year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.02911 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-03 updated_at: 2026-07-03 status: queued relevance: high topics: - coding-agent - rag - tool-use methods: - benchmarks: - models: - datasets: - cs.SE - cs.AI related_concepts: - related_jobs: - related_experiments: - related_projects: - collection_score: 15 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: coding-agent, rag, tool-use - arXiv categories: cs.SE, cs.AI - collection score: 15 ## 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/2607.02911