mlsanityData to 7 Oct 2026

PhoneHarness: Harnessing Phone-Use Agents through Mixed GUI, CLI, and Tool Actions

arXiv 2606.14832 ↗First posted 12 Jun 2026cs.CLcited by 6

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Abstract (arXiv)

Phone agents are increasingly expected to complete real mobile workflows rather than merely predict the next screen action. However, much of the current mobile-agent literature still evaluates agents primarily as GUI controllers that observe a screen, emit taps and swipes, and are scored by target app state. Real phone-use tasks are broader: they require deciding when to use app GUIs, device-side commands, or structured tools, while leaving evidence that the intended side effect actually occurred. We introduce PhoneHarness, a mixed-action benchmark and execution harness for studying phone-use agents on verifiable mobile workflows. PhoneHarness runs a device-side agent loop over GUI, CLI, and host-side tool actions, combining deterministic action routing with bounded GUI delegation and auditable execution traces. Its benchmark, PhoneHarness Bench, evaluates whether agents complete tasks with observable side effects, not only whether they produce plausible final answers. On the annotated evaluation split, PhoneHarness reaches a 75.0% pass rate, outperforming the strongest non-PhoneHarness settings by 12.9 percentage points. PhoneHarness and PhoneHarness Bench therefore play distinct but mutually dependent roles: the harness makes mixed phone workflows executable, while the benchmark measures whether agents can use that harness reliably and safely. Our findings suggest that reliable phone automation depends on action-surface routing and verifiable execution, not only visual GUI control.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 28 of its 30 references that are in the map. First posted on arXiv 12 Jun 2026.

Builds on

28 of 30 references.

References · 28

  1. 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,193
  2. 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 1,908
  3. 2024LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Codecited by 1,906
  4. 2023ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIscited by 1,880
  5. 2023Gorilla: Large Language Model Connected with Massive APIscited by 1,302
  6. 2024τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domainscited by 1,280
  7. 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,210
  8. 2022WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agentscited by 1,197
  9. 2020ALFWorld: Aligning Text and Embodied Environments for Interactive Learningcited by 1,143
  10. 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environmentscited by 1,134
  11. 2023API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMscited by 574
  12. 2023Identifying the Risks of LM Agents with an LM-Emulated Sandboxcited by 514
16 more
  1. 2024AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agentscited by 450
  2. 2023AppAgent: Multimodal Agents as Smartphone Userscited by 407
  3. 2024WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?cited by 348
  4. 2023Android in the Wild: A Large-Scale Dataset for Android Device Controlcited by 314
  5. 2024TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Taskscited by 306
  6. 2024Agent-SafetyBench: Evaluating the Safety of LLM Agentscited by 280
  7. 2024OS-Copilot: Towards Generalist Computer Agents with Self-Improvementcited by 203
  8. 2024Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaborationcited by 187
  9. 2024AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agentscited by 129
  10. 2024AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agentscited by 105
  11. 2025SafeArena: Evaluating the Safety of Autonomous Web Agentscited by 97
  12. 2024WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Taskscited by 81
  13. 2025MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environmentscited by 69
  14. 2024MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agentscited by 63
  15. 2026Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflowscited by 11
  16. 2026Do Phone-Use Agents Respect Your Privacy?cited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 6.

6 papers.