mlsanityData to 7 Oct 2026

PhoneCLI: From App Interfaces to Callable Commands for Mobile Agents

arXiv 2609.35671 ↗First posted 28 Sep 2026cs.AIcited by 0

On the map: LLM agents and tool use → GUI and mobile agents

Abstract (arXiv)

Mobile GUI agents operate through a perception--action loop: at each step they screenshot the device, invoke a vision--language model (VLM), and emit an action. It is slow, costly, and brittle, yet most of what it does is navigation---and everyday navigation is static, ordered, and endlessly repeated. We present PhoneCLI, which compiles an app's GUI navigation into callable commands, without any app-internal API, runtime instrumentation, or model training. Offline, PhoneCLI explores a target app from the outside and distills its screens, interactive elements, and navigation edges into a semantically annotated map; each screen yields one deterministic command: a replay sequence that reaches it. Online, the agent selects a command, verifies it before execution, and then executes it deterministically in sub-second time at zero VLM cost; open-ended interaction and every failure of the compiled path fall back to the embedded VLM interpreter, exactly the pure VLM agent, so compilation can only help. On AndroidLab, PhoneCLI improves the task success rate while reducing steps and token consumption, and it transfers to AndroidWorld's official M3A agent with consistent efficiency gains. What PhoneCLI compiles is the app's navigation rather than one run, so it serves new tasks, not only repeated ones.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in GUI and mobile agents, one of 16 directions in LLM agents and tool use. Builds on 30 of its 36 references that are in the map. First posted on arXiv 28 Sep 2026.

Builds on

30 of 36 references.

Closest ancestors · 22

Same direction, newest first

  1. 2026CoAdapt-GUI: Joint Workflow Context and Policy Adaptation for Unseen GUI Applications12 Aug
  2. 2026PreAct: Computer-Using Agents that Get Faster on Repeated Tasks16 Jun
  3. 2026UI-KOBE: Knowledge-Oriented Behavior Exploration for Lightweight Graph-Guided GUI Agents28 May
  4. 2026Generalization in Online Reinforcement Learning for Mobile Agents8 Mar
  5. 2025OpenPhone: Mobile Agentic Foundation Models24 Oct
  6. 2025MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents10 Sep
  7. 2025MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation21 Jul
  8. 2025OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agents19 Jun
  9. 2025MCPWorld: A Unified Benchmarking Testbed for API, GUI, and Hybrid Computer Use Agents9 Jun
  10. 2025UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents27 May
  11. 2025GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent22 May
  12. 2025LLM-Powered GUI Agents in Phone Automation: Surveying Progress and Prospects28 Apr
10 more
  1. 2025GUI-Xplore: Empowering Generalizable GUI Agents with One Exploration22 Mar
  2. 2025Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment20 Mar
  3. 2025UI-TARS: Pioneering Automated GUI Interaction with Native Agents21 Jan
  4. 2024Large Language Model-Brained GUI Agents: A Survey27 Nov
  5. 2024AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents31 Oct
  6. 2024AutoGLM: Autonomous Foundation Agents for GUIs28 Oct
  7. 2024Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception29 Jan
  8. 2024SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents17 Jan
  9. 2023AppAgent: Multimodal Agents as Smartphone Users21 Dec
  10. 2023CogAgent: A Visual Language Model for GUI Agents14 Dec

Other references · 8

  1. 2024GPT-4o System Cardcited by 4,467
  2. 2025Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilitiescited by 3,655
  3. 2024AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agentscited by 450
  4. 2023AutoDroid: LLM-powered Task Automation in Androidcited by 178
  5. 2025CoAct-1: Computer-using Multi-Agent System with Coding Actionscited by 33
  6. 2025Retrieval-augmented GUI Agents with Generative Guidelinescited by 14
  7. 2026PhoneHarness: Harnessing Phone-Use Agents through Mixed GUI, CLI, and Tool Actionscited by 6
  8. 2024Social Media Use is Predictable from App Sequences: Using LSTM and Transformer Neural Networks to Model Habitual Behaviorcited by 1

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Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2026Beyond the GUI Paradigm: Do Mobile Agents Need the Phone Screen?
  2. 2026Jev-Mobile: Jev as an Executor for Mobile GUI Agents
  3. 2025Building a Stable Planner: An Extended Finite State Machine Based Planning Module for Mobile GUI Agent
  4. 2026APPSim-Bench: Bridging Real-world Apps and Reproducible Evaluation for Mobile GUI Agents
  5. 2026PalmClaw: A Native On-Device Agent Framework for Mobile Phones
  6. 2025Agent-SAMA: State-Aware Mobile Assistant
  7. 2026StepReflect: Structured UI Transition Reflection for Mobile GUI Agents
  8. 2026MobileExplorer: Accelerating On-Device Inference for Mobile GUI Agents via Online Exploration