Paper Detail
Zijian Wang, Hanqi Li, Ziyue Yang, Zijian Hu, Shenghan Zuo, Yunzhe Zhang, Da Ma, Danyu Luo, Chenrun Wang, Jing Peng, Tiancheng Huang, Sijia Guo, Huayang Wang, Zichen Zhu, Senyu Han, Yilu Cao, Kai Yu, Lu Chen
AI systems can increasingly automate scientific workflows, but the reasoning that links prior evidence, generated ideas, experiments and final claims often remains implicit inside model inference. Here we introduce Xcientist, a research harness that externalizes research synthesis and experimental validation into inspectable, contract-governed processes. Xcientist organizes literature evidence, idea states, implementation plans, ablation records and repair traces as persistent research artifacts, so that generated mechanisms can be grounded, executed, tested and revised without losing their evidential basis. We identify claim drift as a failure mode of automated research, where runnable artifacts no longer support the mechanism originally claimed. Across training-free memory systems, graph-structured traffic forecasting and multi-scale physics-informed neural networks, Xcientist preserves traceable trajectories from problem formulation to mechanism design, validation and bounded revision. These results suggest that AI scientists should be evaluated not only by their final artifacts, but by whether their synthesis and validation processes remain attributable, inspectable and scientifically accountable.
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@misc{wang2026externalizing,
title = {Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness},
author = {Zijian Wang and Hanqi Li and Ziyue Yang and Zijian Hu and Shenghan Zuo and Yunzhe Zhang and Da Ma and Danyu Luo and Chenrun Wang and Jing Peng and Tiancheng Huang and Sijia Guo and Huayang Wang and Zichen Zhu and Senyu Han and Yilu Cao and Kai Yu and Lu Chen},
year = {2026},
abstract = {AI systems can increasingly automate scientific workflows, but the reasoning that links prior evidence, generated ideas, experiments and final claims often remains implicit inside model inference. Here we introduce Xcientist, a research harness that externalizes research synthesis and experimental validation into inspectable, contract-governed processes. Xcientist organizes literature evidence, idea states, implementation plans, ablation records and repair traces as persistent research artifacts},
url = {https://huggingface.co/papers/2606.18874},
keywords = {research harness, research synthesis, experimental validation, inspectable processes, contract-governed processes, literature evidence, idea states, implementation plans, ablation records, repair traces, claim drift, training-free memory systems, graph-structured traffic forecasting, multi-scale physics-informed neural networks, traceable trajectories, scientific accountability, code available, huggingface daily},
eprint = {2606.18874},
archiveprefix = {arXiv},
}
{}