Transforming scientific papers into multimodal presentation content is essential for research dissemination but remains labor intensive. Existing automated solutions typically treat each format as an isolated downstream task, leading to redundant processing and semantic inconsistency. We introduce PaperX, a unified framework that models academic presentation generation as a structural transformation and rendering process. Central to our approach is the Scholar DAG, an intermediate representation that decouples the paper's logical structure from its final presentation syntax. By applying adaptive graph traversal strategies, PaperX generates diverse, high quality outputs from a single source. Comprehensive evaluations demonstrate that our framework achieves the state of the art performance in content fidelity and aesthetic quality while significantly improving cost efficiency compared to specialized single task agents.
@article{arxiv.2602.03866,
title = {PaperX: A Unified Framework for Multimodal Academic Presentation Generation with Scholar DAG},
author = {Tao Yu and Minghui Zhang and Zhiqing Cui and Hao Wang and Zhongtian Luo and Shenghua Chai and Junhao Gong and Yuzhao Peng and Yuxuan Zhou and Yujia Yang and Zhenghao Zhang and Haopeng Jin and Xinming Wang and Yufei Xiong and Jiabing Yang and Jiahao Yuan and Hanqing Wang and Hongzhu Yi and Yan Huang and Liang Wang},
journal= {arXiv preprint arXiv:2602.03866},
year = {2026}
}