iSolver-AI
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 - 来源于HF+arxiv，仅输入标题+编号的论文：[Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction](2409.18124)
 - 来源于HF+arxiv，仅输入标题的论文：Exploring Model Kinship for Merging Large Language Models
 - 来源于HF+arxiv，仅输入编号的论文：2410.12381
 - 仅来源于arxiv，完整输入arxiv链接的论文：[Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition](https://arxiv.org/abs/2409.12883)
-- 仅来源于arxiv，仅输入编号的论文：arxiv.org/abs/2410.09401
 - 仅来源于arxiv，仅输入标题的论文：An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation
 - 非arxiv论文：

 - 来源于HF+arxiv，仅输入标题+编号的论文：[Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction](2409.18124)
 - 来源于HF+arxiv，仅输入标题的论文：Exploring Model Kinship for Merging Large Language Models
 - 来源于HF+arxiv，仅输入编号的论文：2410.12381
+- 来源于HF+arxiv，输入链接不带https://前缀：arxiv.org/abs/2410.09401
 - 仅来源于arxiv，完整输入arxiv链接的论文：[Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition](https://arxiv.org/abs/2409.12883)
+- 仅来源于arxiv，仅输入编号的论文：2409.00821
 - 仅来源于arxiv，仅输入标题的论文：An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation
 - 非arxiv论文：