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- 来源于HF+arxiv，输入链接不带https://前缀：arxiv.org/abs/2410.09401
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- 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)，因为有READme引用而自动导入该paper到Daily Paper,变成arxiv和HF都有的论文
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- 仅来源于arxiv，仅输入编号的论文：2409.00821
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- 仅来源于arxiv，仅输入标题的论文：An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation
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- 来源于HF+arxiv，输入链接不带https://前缀：arxiv.org/abs/2410.09401
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- 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)，因为有READme引用而自动导入该paper到Daily Paper,变成arxiv和HF都有的论文
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- 仅来源于arxiv，完整输入arxiv链接的论文：[Aharonov-Bohm effects on the GUP framework](https://arxiv.org/abs/2410.11888)，会因为有READme引用而自动导入该paper到Daily Paper
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- 仅来源于arxiv，仅输入编号的论文：2409.00821
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- 仅来源于arxiv，仅输入标题的论文：An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation
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