ResearchEnvBench: Benchmarking Agents on Environment Synthesis for Research Code Execution
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Abstract (arXiv)
Autonomous agents are increasingly expected to support scientific research, and recent benchmarks report progress in code repair and autonomous experimentation. However, these evaluations typically assume a pre-configured execution environment, which requires resolving complex software dependencies, aligning hardware and framework versions, and configuring distributed execution, yet this capability remains largely unbenchmarked. We introduce ResearchEnvBench, a benchmark for environment synthesis in research code execution. Given a research repository, documentation, and a target execution setting, agents must construct an environment that successfully executes at runtime. Evaluations on diverse research repositories reveal a substantial gap in current SOTA agents, with failures dominated by incomplete dependency resolution and brittle version coupling. ResearchEnvBench provides a realistic testbed for advancing autonomous agents toward reproducible scientific research.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 19 of its 27 references that are in the map. First posted on arXiv 6 Mar 2026.
Builds on
19 of 27 references.
References · 19
- 2021Evaluating Large Language Models Trained on Codecited by 8,053
- 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,193
- 2024SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineeringcited by 1,628
- 2024MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineeringcited by 429
- 2025The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Searchcited by 375
- 2025SWE-smith: Scaling Data for Software Engineering Agentscited by 255
- 2024SciCode: A Research Coding Benchmark Curated by Scientistscited by 172
- 2025Multi-SWE-bench: A Multilingual Benchmark for Issue Resolvingcited by 165
- 2025R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agentscited by 140
- 2025Kosmos: An AI Scientist for Autonomous Discoverycited by 78
- 2025Robin: A multi-agent system for automating scientific discoverycited by 57
- 2024SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositoriescited by 52
7 more
- 2025Repo2Run: Automated Building Executable Environment for Code Repository at Scalecited by 39
- 2025EnvBench: A Benchmark for Automated Environment Setupcited by 36
- 2024Beyond pip install: Evaluating LLM Agents for the Automated Installation of Python Projectscited by 21
- 2025SetupBench: Assessing Software Engineering Agents' Ability to Bootstrap Development Environmentscited by 18
- 2025RExBench: Can coding agents autonomously implement AI research extensions?cited by 17
- 2025Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Constructioncited by 17
- 2025Multi-Docker-Eval: A `Shovel of the Gold Rush' Benchmark on Automatic Environment Building for Software Engineeringcited by 7
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Citing papers per year: 2026: 3.
3 papers.