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cs.AI2026

SciForge: An AI-Native, Multimodal Workbench for Scientific Discovery

SciForge Team, Zhangyang Gao, Minghao Fang +10

Scientific work increasingly spans heterogeneous artifacts -- papers, code, datasets, scientific file formats, model outputs, figures, manuscripts, and team decisions -- yet genera…

cs.AI2026

PAGER: Bridging the Semantic-Execution Gap in Point-Precise Geometric GUI Control

Jingxuan Wei, Xi Bai, Shan Liu +8

Large vision-language models have significantly advanced GUI agents, enabling executable interaction across web, mobile, and desktop interfaces. Yet these gains largely rely on a f…

cs.AI2026

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation

Jinhang Xu, Qiyuan Zhu, Yujun Wu +11

LLM-powered multi-agent systems can now automate the full research pipeline from ideation to paper writing, but a fundamental question remains: automation for whom? Researchers ope…

cs.AI2026

PaperFit: Vision-in-the-Loop Typesetting Optimization for Scientific Documents

Bihui Yu, Xinglong Xu, Junjie Jiang +6

A LaTeX manuscript that compiles without error is not necessarily publication-ready. The resulting PDFs frequently suffer from misplaced floats, overflowing equations, inconsistent…

cs.AI2026

Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists

Yujun Wu, Dongxu Zhang, Xinchen Li +11

Existing research infrastructure is fundamentally document-centric, providing citation links between papers but lacking explicit representations of methodological evolution. In par…

cs.AI2026

AblateCell: A Reproduce-then-Ablate Agent for Virtual Cell Repositories

Xue Xia, Chengkai Yao, Mingyu Tsoi +10

Systematic ablations are essential to attribute performance gains in AI Virtual Cells, yet they are rarely performed because biological repositories are under-standardized and tigh…