arXiv:2603.22999v3 Announce Type: replace Abstract: Recent advances in visual language models have enabled autonomous agents for complex reasoning, tool use, and document understanding. However, existing document agents mainly transform papers into static artifacts such as summaries, webpages, or slides, which are insufficient for technical papers involving dynamic mechanisms and state transitions. In this work, we propose a Paper-to-Interactive-System Agent that converts research papers into executable interactive web systems. Given a PDF paper, the agent performs end-to-end processing withou
Advances in visual language models and the increasing sophistication of autonomous agents are enabling more complex and interactive applications.
This development indicates a shift from static document analysis to dynamic interaction with research, potentially accelerating knowledge transfer and practical application.
Research papers can now be transformed into executable and interactive systems, moving beyond existing static summaries or presentations.
- · AI agents developers
- · Researchers
- · Software developers
- · Interactive education platforms
- · Static document summarization tools
- · Purely text-based information platforms
Research consumption shifts from reading to interacting with executable models derived directly from papers.
Academic publishing and peer review processes may evolve to incorporate interactive system evaluation.
The speed of scientific discovery and translation into practical applications could dramatically increase.
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