World model security and GUI agents
Key facts. World model security and GUI agents: 32 papers on arXiv since 2020 (data through 7 Oct 2026). 9 of its 32 mapped papers (28%) cite “ViMo: A Generative Visual GUI World Model for App Agents” (2025, arXiv 2504.13936). 7 of its 32 mapped papers (22%) cite “MobileWorldBench: Towards Semantic World Modeling For Mobile Agents” (2025, arXiv 2512.14014). 7 new papers 17 Sep–7 Oct.
What’s new
17 Sep – 7 Oct 2026
7 new papers, 17 Sep – 7 Oct; 4 this week.
- This week · 4
- World Models Dream of Success: Diagnosing and Repairing Failure Insensitivity in Robot World Models also fits: World models for language agents
- AdvSim2Real : Training Web Agents Against Adaptive Prompt Injection in a Web World Model
- Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control also fits: World models for language agents
- Imagine to Act: High-Fidelity Data Synthesis via Image Editing World Model for Scalable GUI Agent Training also fits: Video-generation world models and simulators
- Earlier · 3
- AutoGUIWorld: Image Generators as Visual World Models for GUI Agent
- The GUI Is Not the State: Diagnosing State Aliasing in GUI World Models
- CyberWorld: World Models for Sample-Efficient Autonomous Cyber Defense
Foundations
Most cited by papers here
- ViMo: A Generative Visual GUI World Model for App Agents2025cited by 9 here
- MobileWorldBench: Towards Semantic World Modeling For Mobile Agents2025cited by 7 here
- MobileDreamer: Generative Sketch World Model for GUI Agent2026cited by 7 here
- When World Models Dream Wrong: Physical-Conditioned Adversarial Attacks against World Models2026cited by 7 here
- Code2World: A GUI World Model via Renderable Code Generation2026cited by 4 here
Lineage
The papers this direction builds on, oldest first.
Each paper on the line cites the one before.
- 2018World Modelscited by 10 here
- 2018Learning Latent Dynamics for Planning from Pixelscited by 7 here
- 2019Dream to Control: Learning Behaviors by Latent Imaginationcited by 11 here
- 2020Mastering Atari with Discrete World Modelscited by 5 here
- 2022Transformers are Sample-Efficient World Modelscited by 4 here
- 2023Mastering Diverse Domains through World Modelscited by 9 here
- 2023Learning Interactive Real-World Simulatorscited by 4 here
- 2024Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigationcited by 11 here
- 2024Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agentscited by 10 here
- 2024Understanding World or Predicting Future? A Comprehensive Survey of World Modelscited by 7 here
- 2025ViMo: A Generative Visual GUI World Model for App Agentscited by 9 here
- 2025MobileWorldBench: Towards Semantic World Modeling For Mobile Agentscited by 7 here
- 2026MobileDreamer: Generative Sketch World Model for GUI Agentcited by 7 here
- 2026Code2World: A GUI World Model via Renderable Code Generationcited by 4 here
10 more it builds on, not in this chain
- 2018Recurrent World Models Facilitate Policy Evolutioncited by 4 here
- 2022DayDreamer: World Models for Physical Robot Learningcited by 4 here
- 2023SafeDreamer: Safe Reinforcement Learning with World Modelscited by 4 here
- 2023GAIA-1: A Generative World Model for Autonomous Drivingcited by 4 here
- 2023TD-MPC2: Scalable, Robust World Models for Continuous Controlcited by 7 here
- 2024Genie: Generative Interactive Environmentscited by 6 here
- 2024Diffusion for World Modeling: Visual Details Matter in Ataricited by 4 here
- 2025Cosmos World Foundation Model Platform for Physical AIcited by 5 here
- 2026WebWorld: A Large-Scale World Model for Web Agent Trainingcited by 5 here
- 2026When World Models Dream Wrong: Physical-Conditioned Adversarial Attacks against World Modelscited by 7 here
The 24 most cited of 156.
Browse
27 of 32, ranked 6–32
- 6Generative Visual Code Mobile World Models20263
- 7TRAP: Tail-aware Ranking Attack for World-Model Planning20263
- 8WMAttack: Automated Attack Search for Adversarial Evaluation of World-Model Agents20263
- 9SafePred: A Predictive Guardrail for Computer-Using Agents via World Models20262
- 10How Mobile World Model Guides GUI Agents?20262
- 11Safety, Security, and Cognitive Risks in World Models20261
- 12JailWAM: Jailbreaking World Action Models in Robot Control20261
- 13Targeting World Models to Compromise Robot Learning Pipelines20261
- 14BadWorld: Adversarial Attacks on World Models20261
- 15Stealthy World Model Manipulation via Data Poisoning20261
All 27
- 16Attacking the Trusted Imagination: Oracle-Level Integrity Attacks on Imagine-then-Act World Models20261
- 17BadWAM: When World-Action Models Dream Right but Act Wrong20261
- 18SafeDream: Safety World Model for Proactive Early Jailbreak Detection20260
- 19PROWL: Prioritized Regret-Driven Optimization for World Model Learning20260
- 20ARB4WM: An Adversarial Robustness Benchmark for World Models in Continuous Control20260
- 21SeerGuard: A Safety Framework for Mobile GUI Agents via World Model Prediction20260
- 22False Prophets: On the Security of World Models in Agentic Systems20260
- 23Security of World-Model-Based Embodied AI: A Lifecycle of Threats, Defenses, and Evaluation20260
- 24DreamGuard: Efficient Runtime Guardrail for LLM Agents via Risk-Aware World Model20260
- 25AppDeltaWorld: Transition-Grounded Delta Code World Model for Mobile GUI Agents20260
- 26CIVA: Critic-Induced Value-Subspace Attacks on Visual World-Model Agents20260
- 27WM-R1: Training GUI Agents to Reason and leverage World Models with Reinforcement Learning20260
- 28GUI-CC: Benchmarking Contextual Consistency of GUI World Models as Agent Environments20260
- 29Solaris: Towards Interfaces That Are Generated, Not Coded20260
- 30TrojanWorld: Backdooring World-Model Agents via Imagination Steering20260
- 31When the World Lies: Backdoor Attacks on Latent World Models for Downstream Control20260
- 32A Critical Evaluation of Open-World Machine Learning20200