Paper notes

Code2World: A GUI World Model via Renderable Code Generation

Yuhao Zheng, Li'an Zhong, Yi Wang, Rui Dai, Kaikui Liu, Xiangxiang Chu, Linyuan Lv, Philip Torr, Kevin Qinghong Lin

First arXiv submission: · arXiv

Predicts a GUI's next visual state by generating renderable code, and evaluates whether the predicted outcomes help mobile-agent navigation.

Contribution and setting

Constructs paired screen/action/code data and trains with rendered visual feedback to balance appearance and action consistency.

Model output
Renderable UI code, converted into the predicted next screen.
Action interface
A current GUI observation and a proposed interaction, represented for the model with action descriptions and visual cues.
State and memory
Prediction conditions on the current screen and action; renderable structure represents the output interface.

Relationship to NeuralOS

Code2World cites NeuralOS in Section 2.2 and its bibliography.

Source ↗

Scope and limitations

Uses generated code and a browser to predict screens for Android navigation.

Related terms: Code2World, GUI world model, renderable code, next-screen prediction, AndroidCode.

Connections between methods

Direct frame generation and renderable-code prediction

NeuralOS predicts desktop frames using learned state and a diffusion renderer. Code2World predicts a UI through code that is then rendered into a screen, and tests its usefulness for mobile navigation. Code2World cites NeuralOS in Section 2.2.

Cite this paper

ArXiv preprint

arXiv:2602.09856, initial submission 2026-02-10.

Preprint BibTeX · Preprint CSL-JSON

Read or reuse this entry

JSON record · Markdown · Find in the full list