Jesseovo/PaperCash

"skill_file": "../SKILL.md",   "author": "Jesse (@Jesseovo)",   "repository": "https://github.com/Jesseovo/PaperCash",

"author": "Jesse (@Jesseovo)",   "repository": "https://github.com/Jesseovo/PaperCash",   "license": "MIT"

"repository": "https://github.com/Jesseovo/PaperCash",

[Credential-related source omitted]

- `docs/index.html`、`docs/styles.css`、`docs/app.js` 是静态网页；`docs/assets/` 是自有像素素材，不依赖前端框架或第三方脚本。 - `scripts/build_discovery.py` 从 arXiv 和 Crossref 构建 `docs/data/papers.json`。保留来源、作者、实际日期精度和预印本标记；按 DOI/arXiv ID 去重。某组来源失败时保留该组旧数据及原更新时间，不能显示成刚更

- `scripts/build_discovery.py` 从 arXiv 和 Crossref 构建 `docs/data/papers.json`。保留来源、作者、实际日期精度和预印本标记；按 DOI/arXiv ID 去重。某组来源失败时保留该组旧数据及原更新时间，不能显示成刚更新成功。 - `.github/workflows/discovery-pages.yml` 每天 UTC 00:20（北京时间 08:20）刷新并发布 GitHub Pages，站点为 `h

- `.github/workflows/discovery-pages.yml` 每天 UTC 00:20（北京时间 08:20）刷新并发布 GitHub Pages，站点为 `https://jesseovo.github.io/PaperCash/`。构建只打包网页文件、素材与公开数据，不上传其他文档或本地配置。

<p align="center">   <a href="https://jesseovo.github.io/PaperCash/">论文发现页 ↗</a> &nbsp;·&nbsp;

<a href="https://jesseovo.github.io/PaperCash/">论文发现页 ↗</a> &nbsp;·&nbsp;

<p align="center">   <a href="https://jesseovo.github.io/PaperCash/">

<a href="https://jesseovo.github.io/PaperCash/">

在[论文发现页](https://jesseovo.github.io/PaperCash/)随手翻一篇，把感兴趣的研究放进书签，带走一份引用。想再读深一点，就把论文和来源一起交给 Agent。

帮我安装 https://github.com/Jesseovo/PaperCash ，

[Credential-related source omitted]

如果你遇到问题，欢迎提交 [Issue](https://github.com/Jesseovo/PaperCash/issues)，附上使用的命令、Python 版本和去除个人信息后的报错。

</picture>   <br />   <sub>Made with curiosity by <a href="https://github.com/Jesseovo">Jesse</a> &nbsp;·&nbsp; <a href="https://jesseovo.qzz.io/">Little corner on the web</a> &nbsp;·&nbsp; <a href="LICENSE">MIT</a></sub>

<br />   <sub>Made with curiosity by <a href="https://github.com/Jesseovo">Jesse</a> &nbsp;·&nbsp; <a href="https://jesseovo.qzz.io/">Little corner on the web</a> &nbsp;·&nbsp; <a href="LICENSE">MIT</a></sub> </p>

<sub>Made with curiosity by <a href="https://github.com/Jesseovo">Jesse</a> &nbsp;·&nbsp; <a href="https://jesseovo.qzz.io/">Little corner on the web</a> &nbsp;·&nbsp; <a href="LICENSE">MIT</a></sub>

"license": "MIT",   "author": "Jesse (@Jesseovo)",   "repository": "https://github.com/Jesseovo/PaperCash",

"author": "Jesse (@Jesseovo)",   "repository": "https://github.com/Jesseovo/PaperCash",   "support": "https://github.com/Jesseovo/PaperCash/issues",

"repository": "https://github.com/Jesseovo/PaperCash",

"support": "https://github.com/Jesseovo/PaperCash/issues",

Executable file

const $ = (selector) => document.querySelector(selector);   const STORAGE_KEY = 'papercash.saved.v1';   const SETUP_PROMPT = '帮我安装 https://github.com/Jesseovo/PaperCash ，按 SKILL.md 配置独立环境并验证可用，然后问我想研究什么。';

const STORAGE_KEY = 'papercash.saved.v1';   const SETUP_PROMPT = '帮我安装 https://github.com/Jesseovo/PaperCash ，按 SKILL.md 配置独立环境并验证可用，然后问我想研究什么。';   const icons = {

const SETUP_PROMPT = '帮我安装 https://github.com/Jesseovo/PaperCash ，按 SKILL.md 配置独立环境并验证可用，然后问我想研究什么。';

bindEvents();     try {       const response = await fetch('data/papers.json', { cache: 'no-cache' });

try {       const response = await fetch('data/papers.json', { cache: 'no-cache' });       if (!response.ok) throw new Error(`HTTP ${response.status}`);

const response = await fetch('data/papers.json', { cache: 'no-cache' });

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<svg xmlns="http://www.w3.org/2000/svg" width="780" height="128" viewBox="0 0 780 128" role="img" aria-labelledby="title desc"><title id="title">Open your little research desk</title><desc id="desc">发现真实论文、收藏书签、复制引用，或交给 Agent 深入研究。</desc><r

<svg xmlns="http://www.w3.org/2000/svg" width="780" height="128" viewBox="0 0 780 128" role="img" aria-labelledby="title desc"><title id="title">Open your little research desk</title><desc id="desc">发现真实论文、收藏书签、复制引用，或交给 Agent 深入研究。</desc><r

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"doi": "",       "arxiv_id": "2610.26848",       "url": "https://arxiv.org/abs/2610.26848",

"arxiv_id": "2610.26848",       "url": "https://arxiv.org/abs/2610.26848",       "pdf_url": "https://arxiv.org/pdf/2610.26848",

"url": "https://arxiv.org/abs/2610.26848",

"pdf_url": "https://arxiv.org/pdf/2610.26848",

"year": 2026,       "citations": {         "gb7714": "Zekai Li, Jiayi Yu, Jinlu Zhang, et al.. Where is Physical RSI capability from? An Observational Scaling Law of LLM-as-policy[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26848.",

"citations": {         "gb7714": "Zekai Li, Jiayi Yu, Jinlu Zhang, et al.. Where is Physical RSI capability from? An Observational Scaling Law of LLM-as-policy[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26848.",         "apa": "Li, Z.,

"gb7714": "Zekai Li, Jiayi Yu, Jinlu Zhang, et al.. Where is Physical RSI capability from? An Observational Scaling Law of LLM-as-policy[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26848.",

"apa": "Li, Z., Yu, J., Zhang, J., Niu, L., Qi, Z., Zheng, J., Chen, X., Liu, D., Zhang, Y., Wang, H., & Yi, L. (2026). Where is Physical RSI capability from? An Observational Scaling Law of LLM-as-policy. arXiv. https://arxiv.org/abs/2610.

"bibtex": "@misc{arxiv261026848,\n  title = {Where is Physical RSI capability from? An Observational Scaling Law of LLM-as-policy},\n  author = {Zekai Li and Jiayi Yu and Jinlu Zhang and Luyang Niu and Zekun Qi and Jun Zheng and Xuchuan Che

"doi": "",       "arxiv_id": "2610.26847",       "url": "https://arxiv.org/abs/2610.26847",

"arxiv_id": "2610.26847",       "url": "https://arxiv.org/abs/2610.26847",       "pdf_url": "https://arxiv.org/pdf/2610.26847",

"url": "https://arxiv.org/abs/2610.26847",

"pdf_url": "https://arxiv.org/pdf/2610.26847",

"year": 2026,       "citations": {         "gb7714": "Rui Shi, Xunjian Yin, Jiacheng Sang, et al.. WeAct: Dynamic Weight Switching as Agent Actions[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26847.",

"citations": {         "gb7714": "Rui Shi, Xunjian Yin, Jiacheng Sang, et al.. WeAct: Dynamic Weight Switching as Agent Actions[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26847.",         "apa": "Shi, R., Yin, X., Sang, J., Liu, Z., & 

"gb7714": "Rui Shi, Xunjian Yin, Jiacheng Sang, et al.. WeAct: Dynamic Weight Switching as Agent Actions[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26847.",

"apa": "Shi, R., Yin, X., Sang, J., Liu, Z., & Zhou, S. (2026). WeAct: Dynamic Weight Switching as Agent Actions. arXiv. https://arxiv.org/abs/2610.26847",

"bibtex": "@misc{arxiv261026847,\n  title = {WeAct: Dynamic Weight Switching as Agent Actions},\n  author = {Rui Shi and Xunjian Yin and Jiacheng Sang and Zichuan Liu and Shuyan Zhou},\n  year = {2026},\n  eprint = {2610.26847},\n  archiveP

"doi": "",       "arxiv_id": "2610.26857",       "url": "https://arxiv.org/abs/2610.26857",

"arxiv_id": "2610.26857",       "url": "https://arxiv.org/abs/2610.26857",       "pdf_url": "https://arxiv.org/pdf/2610.26857",

"url": "https://arxiv.org/abs/2610.26857",

"pdf_url": "https://arxiv.org/pdf/2610.26857",

"year": 2026,       "citations": {         "gb7714": "Sangbeom Lim, Seoung Wug Oh, Heeji Yoon, et al.. VideoMaMa++: Temporally Consistent Video Matting via Preserve-and-Refine Token[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26857.",

"citations": {         "gb7714": "Sangbeom Lim, Seoung Wug Oh, Heeji Yoon, et al.. VideoMaMa++: Temporally Consistent Video Matting via Preserve-and-Refine Token[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26857.",         "apa": "Lim, 

"gb7714": "Sangbeom Lim, Seoung Wug Oh, Heeji Yoon, et al.. VideoMaMa++: Temporally Consistent Video Matting via Preserve-and-Refine Token[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26857.",

"apa": "Lim, S., Oh, S. W., Yoon, H., Kim, S., & Lee, J. (2026). VideoMaMa++: Temporally Consistent Video Matting via Preserve-and-Refine Token. arXiv. https://arxiv.org/abs/2610.26857",

"bibtex": "@misc{arxiv261026857,\n  title = {VideoMaMa++: Temporally Consistent Video Matting via Preserve-and-Refine Token},\n  author = {Sangbeom Lim and Seoung Wug Oh and Heeji Yoon and Seungryong Kim and Joon-Young Lee},\n  year = {2026

"Haiwen Feng"       ],       "abstract": "A seemingly reasonable push in Sokoban can make the puzzle unsolvable. To avoid such mistakes, an agent has to anticipate the consequences of its actions before execution, especially when feedback f

],       "abstract": "A seemingly reasonable push in Sokoban can make the puzzle unsolvable. To avoid such mistakes, an agent has to anticipate the consequences of its actions before execution, especially when feedback from the real environ

"abstract": "A seemingly reasonable push in Sokoban can make the puzzle unsolvable. To avoid such mistakes, an agent has to anticipate the consequences of its actions before execution, especially when feedback from the real environment is s

"doi": "",       "arxiv_id": "2610.26845",       "url": "https://arxiv.org/abs/2610.26845",

"arxiv_id": "2610.26845",       "url": "https://arxiv.org/abs/2610.26845",       "pdf_url": "https://arxiv.org/pdf/2610.26845",

"url": "https://arxiv.org/abs/2610.26845",

"pdf_url": "https://arxiv.org/pdf/2610.26845",

"year": 2026,       "citations": {         "gb7714": "Jiaxin Ge, Junyi Zhang, Tianning Chai, et al.. Train An Imaginative Agent[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26845.",

"citations": {         "gb7714": "Jiaxin Ge, Junyi Zhang, Tianning Chai, et al.. Train An Imaginative Agent[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26845.",         "apa": "Ge, J., Zhang, J., Chai, T., Yoo, H., Wang, C., Li, X., Shi

"gb7714": "Jiaxin Ge, Junyi Zhang, Tianning Chai, et al.. Train An Imaginative Agent[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26845.",

"apa": "Ge, J., Zhang, J., Chai, T., Yoo, H., Wang, C., Li, X., Shi, W., Wang, X., Min, S., Zettlemoyer, L., Darrell, T., & Feng, H. (2026). Train An Imaginative Agent. arXiv. https://arxiv.org/abs/2610.26845",

"bibtex": "@misc{arxiv261026845,\n  title = {Train An Imaginative Agent},\n  author = {Jiaxin Ge and Junyi Zhang and Tianning Chai and Hanjun Yoo and Chenyang Wang and Xiuyu Li and Weijia Shi and XuDong Wang and Sewon Min and Luke Zettlemoy

"Michael Poli"       ],       "abstract": "Modern text-to-image (T2I) systems use internet-scale language pretraining for text-conditioned image generation. We ask whether language pretraining is necessary for strong T2I generation. We intr

],       "abstract": "Modern text-to-image (T2I) systems use internet-scale language pretraining for text-conditioned image generation. We ask whether language pretraining is necessary for strong T2I generation. We introduce Halcyon, a fami

"abstract": "Modern text-to-image (T2I) systems use internet-scale language pretraining for text-conditioned image generation. We ask whether language pretraining is necessary for strong T2I generation. We introduce Halcyon, a family of ear

"doi": "",       "arxiv_id": "2610.26863",       "url": "https://arxiv.org/abs/2610.26863",

"arxiv_id": "2610.26863",       "url": "https://arxiv.org/abs/2610.26863",       "pdf_url": "https://arxiv.org/pdf/2610.26863",

"url": "https://arxiv.org/abs/2610.26863",

"pdf_url": "https://arxiv.org/pdf/2610.26863",

"year": 2026,       "citations": {         "gb7714": "Keshigeyan Chandrasegaran, Yue Zhao, Armin W. Thomas, et al.. Text-to-Image Generative Modeling Without Language Pretraining[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26863.",

"citations": {         "gb7714": "Keshigeyan Chandrasegaran, Yue Zhao, Armin W. Thomas, et al.. Text-to-Image Generative Modeling Without Language Pretraining[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26863.",         "apa": "Chandras

"gb7714": "Keshigeyan Chandrasegaran, Yue Zhao, Armin W. Thomas, et al.. Text-to-Image Generative Modeling Without Language Pretraining[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26863.",

"apa": "Chandrasegaran, K., Zhao, Y., Thomas, A. W., Adeli, E., Wu, J., Niebles, J. C., Fei-Fei, L., & Poli, M. (2026). Text-to-Image Generative Modeling Without Language Pretraining. arXiv. https://arxiv.org/abs/2610.26863",

"bibtex": "@misc{arxiv261026863,\n  title = {Text-to-Image Generative Modeling Without Language Pretraining},\n  author = {Keshigeyan Chandrasegaran and Yue Zhao and Armin W. Thomas and Ehsan Adeli and Jiajun Wu and Juan Carlos Niebles and 

"doi": "",       "arxiv_id": "2610.26759",       "url": "https://arxiv.org/abs/2610.26759",

"arxiv_id": "2610.26759",       "url": "https://arxiv.org/abs/2610.26759",       "pdf_url": "https://arxiv.org/pdf/2610.26759",

"url": "https://arxiv.org/abs/2610.26759",

"pdf_url": "https://arxiv.org/pdf/2610.26759",

"year": 2026,       "citations": {         "gb7714": "Wenhao He, Max Yang, Chenghua Lu, et al.. Tactile In-Hand Object Rotation: A Comparative Study of Hand Morphology in Simulation and Hardware[EB/OL]. arXiv, 2026. https://arxiv.org/abs/26

"citations": {         "gb7714": "Wenhao He, Max Yang, Chenghua Lu, et al.. Tactile In-Hand Object Rotation: A Comparative Study of Hand Morphology in Simulation and Hardware[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26759.",         

"gb7714": "Wenhao He, Max Yang, Chenghua Lu, et al.. Tactile In-Hand Object Rotation: A Comparative Study of Hand Morphology in Simulation and Hardware[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26759.",

"apa": "He, W., Yang, M., Lu, C., Lin, Y., Barton, D. A. W., & Lepora, N. F. (2026). Tactile In-Hand Object Rotation: A Comparative Study of Hand Morphology in Simulation and Hardware. arXiv. https://arxiv.org/abs/2610.26759",

"bibtex": "@misc{arxiv261026759,\n  title = {Tactile In-Hand Object Rotation: A Comparative Study of Hand Morphology in Simulation and Hardware},\n  author = {Wenhao He and Max Yang and Chenghua Lu and Yijiong Lin and David A. W. Barton and

"doi": "",       "arxiv_id": "2610.26837",       "url": "https://arxiv.org/abs/2610.26837",

"arxiv_id": "2610.26837",       "url": "https://arxiv.org/abs/2610.26837",       "pdf_url": "https://arxiv.org/pdf/2610.26837",

"url": "https://arxiv.org/abs/2610.26837",

"pdf_url": "https://arxiv.org/pdf/2610.26837",

"year": 2026,       "citations": {         "gb7714": "Javad Rajabi, Hakki Can Karaimer, David B. Lindell, et al.. SpecKCast: Spectral Kalman Forecasting for Diffusion Acceleration[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26837.",

"citations": {         "gb7714": "Javad Rajabi, Hakki Can Karaimer, David B. Lindell, et al.. SpecKCast: Spectral Kalman Forecasting for Diffusion Acceleration[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26837.",         "apa": "Rajabi,

"gb7714": "Javad Rajabi, Hakki Can Karaimer, David B. Lindell, et al.. SpecKCast: Spectral Kalman Forecasting for Diffusion Acceleration[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26837.",

"apa": "Rajabi, J., Karaimer, H. C., Lindell, D. B., Taati, B., & Brown, M. S. (2026). SpecKCast: Spectral Kalman Forecasting for Diffusion Acceleration. arXiv. https://arxiv.org/abs/2610.26837",

"bibtex": "@misc{arxiv261026837,\n  title = {SpecKCast: Spectral Kalman Forecasting for Diffusion Acceleration},\n  author = {Javad Rajabi and Hakki Can Karaimer and David B. Lindell and Babak Taati and Michael S. Brown},\n  year = {2026},\

"doi": "",       "arxiv_id": "2610.26757",       "url": "https://arxiv.org/abs/2610.26757",

"arxiv_id": "2610.26757",       "url": "https://arxiv.org/abs/2610.26757",       "pdf_url": "https://arxiv.org/pdf/2610.26757",

"url": "https://arxiv.org/abs/2610.26757",

"pdf_url": "https://arxiv.org/pdf/2610.26757",

"year": 2026,       "citations": {         "gb7714": "Adrian Remonda, Jiajun Xi, Nicklas Hansen, et al.. Simulation Priors for Rapid Adaptation in Model-Based RL for Autonomous Racing[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26757.",

"citations": {         "gb7714": "Adrian Remonda, Jiajun Xi, Nicklas Hansen, et al.. Simulation Priors for Rapid Adaptation in Model-Based RL for Autonomous Racing[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26757.",         "apa": "Rem

"gb7714": "Adrian Remonda, Jiajun Xi, Nicklas Hansen, et al.. Simulation Priors for Rapid Adaptation in Model-Based RL for Autonomous Racing[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26757.",

"apa": "Remonda, A., Xi, J., Hansen, N., Greiff, M., Lew, T., Talbot, J., Subosits, J., & Wang, X. (2026). Simulation Priors for Rapid Adaptation in Model-Based RL for Autonomous Racing. arXiv. https://arxiv.org/abs/2610.26757",

"bibtex": "@misc{arxiv261026757,\n  title = {Simulation Priors for Rapid Adaptation in Model-Based RL for Autonomous Racing},\n  author = {Adrian Remonda and Jiajun Xi and Nicklas Hansen and Marcus Greiff and Thomas Lew and John Talbot and 

"doi": "",       "arxiv_id": "2610.26836",       "url": "https://arxiv.org/abs/2610.26836",

"arxiv_id": "2610.26836",       "url": "https://arxiv.org/abs/2610.26836",       "pdf_url": "https://arxiv.org/pdf/2610.26836",

"url": "https://arxiv.org/abs/2610.26836",

"pdf_url": "https://arxiv.org/pdf/2610.26836",

"year": 2026,       "citations": {         "gb7714": "Ke Zhang, Sahchit Chundur, Jerry Peprah Owusu, et al.. Same Simulation, Different Evidence: Where Retrieved Tool Output Costs LLM Agents Accuracy[EB/OL]. arXiv, 2026. https://arxiv.org/a

"citations": {         "gb7714": "Ke Zhang, Sahchit Chundur, Jerry Peprah Owusu, et al.. Same Simulation, Different Evidence: Where Retrieved Tool Output Costs LLM Agents Accuracy[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26836.",    

"gb7714": "Ke Zhang, Sahchit Chundur, Jerry Peprah Owusu, et al.. Same Simulation, Different Evidence: Where Retrieved Tool Output Costs LLM Agents Accuracy[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26836.",

"apa": "Zhang, K., Chundur, S., Owusu, J. P., Qomi, M. J. A., & Raissi, M. (2026). Same Simulation, Different Evidence: Where Retrieved Tool Output Costs LLM Agents Accuracy. arXiv. https://arxiv.org/abs/2610.26836",

"bibtex": "@misc{arxiv261026836,\n  title = {Same Simulation, Different Evidence: Where Retrieved Tool Output Costs LLM Agents Accuracy},\n  author = {Ke Zhang and Sahchit Chundur and Jerry Peprah Owusu and Mohammad Javad Abdolhosseini Qomi

"doi": "",       "arxiv_id": "2610.26855",       "url": "https://arxiv.org/abs/2610.26855",

"arxiv_id": "2610.26855",       "url": "https://arxiv.org/abs/2610.26855",       "pdf_url": "https://arxiv.org/pdf/2610.26855",

"url": "https://arxiv.org/abs/2610.26855",

"pdf_url": "https://arxiv.org/pdf/2610.26855",

"year": 2026,       "citations": {         "gb7714": "Tianqi Liu, Hanfei Zhao, Qifeng Liang, et al.. Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610

"citations": {         "gb7714": "Tianqi Liu, Hanfei Zhao, Qifeng Liang, et al.. Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26855.",         "a

"gb7714": "Tianqi Liu, Hanfei Zhao, Qifeng Liang, et al.. Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26855.",

"apa": "Liu, T., Zhao, H., Liang, Q., Pang, H. E., Xu, J., Mu, S., Qiu, P., Zhang, Y., Wang, J., Cao, Z., Sun, M., Cao, Y., Hong, F., Chen, Z., & Liu, Z. (2026). Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Hum

"bibtex": "@misc{arxiv261026855,\n  title = {Ropedia W0: Scaling Loco-Manipulation World Models across Embodiments with Human Experience},\n  author = {Tianqi Liu and Hanfei Zhao and Qifeng Liang and Hui En Pang and Jiarui Xu and Sayang Mu 

"doi": "",       "arxiv_id": "2610.26717",       "url": "https://arxiv.org/abs/2610.26717",

"arxiv_id": "2610.26717",       "url": "https://arxiv.org/abs/2610.26717",       "pdf_url": "https://arxiv.org/pdf/2610.26717",

"url": "https://arxiv.org/abs/2610.26717",

"pdf_url": "https://arxiv.org/pdf/2610.26717",

"year": 2026,       "citations": {         "gb7714": "Hamid Hafezi, Javad Mohammadpour Velni, Mohammadreza Davoodi. Robot Learning with Vision-Language-Action Models for Agricultural Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2

"citations": {         "gb7714": "Hamid Hafezi, Javad Mohammadpour Velni, Mohammadreza Davoodi. Robot Learning with Vision-Language-Action Models for Agricultural Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26717.",        

"gb7714": "Hamid Hafezi, Javad Mohammadpour Velni, Mohammadreza Davoodi. Robot Learning with Vision-Language-Action Models for Agricultural Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26717.",

"apa": "Hafezi, H., Velni, J. M., & Davoodi, M. (2026). Robot Learning with Vision-Language-Action Models for Agricultural Manipulation. arXiv. https://arxiv.org/abs/2610.26717",

"bibtex": "@misc{arxiv261026717,\n  title = {Robot Learning with Vision-Language-Action Models for Agricultural Manipulation},\n  author = {Hamid Hafezi and Javad Mohammadpour Velni and Mohammadreza Davoodi},\n  year = {2026},\n  eprint = {

"doi": "",       "arxiv_id": "2610.26856",       "url": "https://arxiv.org/abs/2610.26856",

"arxiv_id": "2610.26856",       "url": "https://arxiv.org/abs/2610.26856",       "pdf_url": "https://arxiv.org/pdf/2610.26856",

"url": "https://arxiv.org/abs/2610.26856",

"pdf_url": "https://arxiv.org/pdf/2610.26856",

"year": 2026,       "citations": {         "gb7714": "Shiao Xie, Siyu Chen, Jianwei Lv, et al.. Reinforcement Learning with Visually Attributable On-Policy Self-Distillation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26856.",

"citations": {         "gb7714": "Shiao Xie, Siyu Chen, Jianwei Lv, et al.. Reinforcement Learning with Visually Attributable On-Policy Self-Distillation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26856.",         "apa": "Xie, S., Chen

"gb7714": "Shiao Xie, Siyu Chen, Jianwei Lv, et al.. Reinforcement Learning with Visually Attributable On-Policy Self-Distillation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26856.",

"apa": "Xie, S., Chen, S., Lv, J., Li, X., & Wang, Y. (2026). Reinforcement Learning with Visually Attributable On-Policy Self-Distillation. arXiv. https://arxiv.org/abs/2610.26856",

"bibtex": "@misc{arxiv261026856,\n  title = {Reinforcement Learning with Visually Attributable On-Policy Self-Distillation},\n  author = {Shiao Xie and Siyu Chen and Jianwei Lv and Xiandong Li and Yujin Wang},\n  year = {2026},\n  eprint = 

"doi": "",       "arxiv_id": "2610.26826",       "url": "https://arxiv.org/abs/2610.26826",

"arxiv_id": "2610.26826",       "url": "https://arxiv.org/abs/2610.26826",       "pdf_url": "https://arxiv.org/pdf/2610.26826",

"url": "https://arxiv.org/abs/2610.26826",

"pdf_url": "https://arxiv.org/pdf/2610.26826",

"year": 2026,       "citations": {         "gb7714": "Yuchi Wang, Rongyao Fang, Weihao Yu, et al.. RefCraft: Benchmarking Visual-Reference-Conditioned Agentic Generation through Web Development[EB/OL]. arXiv, 2026. https://arxiv.org/abs/261

"citations": {         "gb7714": "Yuchi Wang, Rongyao Fang, Weihao Yu, et al.. RefCraft: Benchmarking Visual-Reference-Conditioned Agentic Generation through Web Development[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26826.",         "

"gb7714": "Yuchi Wang, Rongyao Fang, Weihao Yu, et al.. RefCraft: Benchmarking Visual-Reference-Conditioned Agentic Generation through Web Development[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26826.",

"apa": "Wang, Y., Fang, R., Yu, W., Wei, X., Gu, T., Yang, D., Zhang, H., Liu, D., Li, H., & Bai, S. (2026). RefCraft: Benchmarking Visual-Reference-Conditioned Agentic Generation through Web Development. arXiv. https://arxiv.org/abs/2610.2

"bibtex": "@misc{arxiv261026826,\n  title = {RefCraft: Benchmarking Visual-Reference-Conditioned Agentic Generation through Web Development},\n  author = {Yuchi Wang and Rongyao Fang and Weihao Yu and Xilin Wei and Tiancheng Gu and Dingkang

"doi": "",       "arxiv_id": "2610.26854",       "url": "https://arxiv.org/abs/2610.26854",

"arxiv_id": "2610.26854",       "url": "https://arxiv.org/abs/2610.26854",       "pdf_url": "https://arxiv.org/pdf/2610.26854",

"url": "https://arxiv.org/abs/2610.26854",

"pdf_url": "https://arxiv.org/pdf/2610.26854",

"year": 2026,       "citations": {         "gb7714": "Jiaming Liu, Xinghao Zhu, Yiming Zhang, et al.. Physical Words: A Vocabulary for Structuring Latent Reasoning in Robot Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26854.

"citations": {         "gb7714": "Jiaming Liu, Xinghao Zhu, Yiming Zhang, et al.. Physical Words: A Vocabulary for Structuring Latent Reasoning in Robot Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26854.",         "apa": "L

"gb7714": "Jiaming Liu, Xinghao Zhu, Yiming Zhang, et al.. Physical Words: A Vocabulary for Structuring Latent Reasoning in Robot Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26854.",

"apa": "Liu, J., Zhu, X., Zhang, Y., Zhang, S., Wang, Y., Yang, Y., Liu, Z., Niu, D., Pouya, S., Li, J., & Chang, Y. (2026). Physical Words: A Vocabulary for Structuring Latent Reasoning in Robot Manipulation. arXiv. https://arxiv.org/abs/2

"bibtex": "@misc{arxiv261026854,\n  title = {Physical Words: A Vocabulary for Structuring Latent Reasoning in Robot Manipulation},\n  author = {Jiaming Liu and Xinghao Zhu and Yiming Zhang and Shanghang Zhang and Yinxi Wang and Yichu Yang a

"Xing Gao"       ],       "abstract": "World Action Models (WAMs) jointly predict future video and generate actions, yet remain sensitive to task-irrelevant visual perturbations, i.e., changes in visual appearance that should not affect rob

],       "abstract": "World Action Models (WAMs) jointly predict future video and generate actions, yet remain sensitive to task-irrelevant visual perturbations, i.e., changes in visual appearance that should not affect robot behavior. We i

"abstract": "World Action Models (WAMs) jointly predict future video and generate actions, yet remain sensitive to task-irrelevant visual perturbations, i.e., changes in visual appearance that should not affect robot behavior. We identify a

"doi": "",       "arxiv_id": "2610.26813",       "url": "https://arxiv.org/abs/2610.26813",

"arxiv_id": "2610.26813",       "url": "https://arxiv.org/abs/2610.26813",       "pdf_url": "https://arxiv.org/pdf/2610.26813",

"url": "https://arxiv.org/abs/2610.26813",

"pdf_url": "https://arxiv.org/pdf/2610.26813",

"year": 2026,       "citations": {         "gb7714": "Yude Zou, Yifei Yao, Guanbo Jiao, et al.. PICA-WAM: Visual Perturbation Invariance via Cross-Appearance Self-Alignment in World Action Models[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2

"citations": {         "gb7714": "Yude Zou, Yifei Yao, Guanbo Jiao, et al.. PICA-WAM: Visual Perturbation Invariance via Cross-Appearance Self-Alignment in World Action Models[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26813.",        

"gb7714": "Yude Zou, Yifei Yao, Guanbo Jiao, et al.. PICA-WAM: Visual Perturbation Invariance via Cross-Appearance Self-Alignment in World Action Models[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26813.",

"apa": "Zou, Y., Yao, Y., Jiao, G., Ma, J., Zheng, G., & Gao, X. (2026). PICA-WAM: Visual Perturbation Invariance via Cross-Appearance Self-Alignment in World Action Models. arXiv. https://arxiv.org/abs/2610.26813",

"bibtex": "@misc{arxiv261026813,\n  title = {PICA-WAM: Visual Perturbation Invariance via Cross-Appearance Self-Alignment in World Action Models},\n  author = {Yude Zou and Yifei Yao and Guanbo Jiao and Jianming Ma and Guanjie Zheng and Xin

"doi": "",       "arxiv_id": "2610.26860",       "url": "https://arxiv.org/abs/2610.26860",

"arxiv_id": "2610.26860",       "url": "https://arxiv.org/abs/2610.26860",       "pdf_url": "https://arxiv.org/pdf/2610.26860",

"url": "https://arxiv.org/abs/2610.26860",

"pdf_url": "https://arxiv.org/pdf/2610.26860",

"year": 2026,       "citations": {         "gb7714": "Yu Zhou, Cheng-Fu Yang, Rui Sun, et al.. OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26860.",

"citations": {         "gb7714": "Yu Zhou, Cheng-Fu Yang, Rui Sun, et al.. OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26860.",         "apa": "Zhou, Y., Yang, C.,

"gb7714": "Yu Zhou, Cheng-Fu Yang, Rui Sun, et al.. OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26860.",

"apa": "Zhou, Y., Yang, C., Sun, R., Wu, D., Peng, S., Zhang, M., Yang, Z., Zhang, R., Peng, N., Gan, Z., & Chang, K. (2026). OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory. arXiv. https://arxiv.org/abs/2610.26860"

"bibtex": "@misc{arxiv261026860,\n  title = {OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory},\n  author = {Yu Zhou and Cheng-Fu Yang and Rui Sun and Di Wu and Sibo Peng and Mingyang Zhang and Zhen Yang and Ruiyi Zh

"Yu-Lun Liu"       ],       "abstract": "Adapting existing manga into coherent animation that stays faithful to the source is a valuable yet challenging task. Existing methods either access the manga mainly through text, losing its characte

],       "abstract": "Adapting existing manga into coherent animation that stays faithful to the source is a valuable yet challenging task. Existing methods either access the manga mainly through text, losing its characters and art style, o

"abstract": "Adapting existing manga into coherent animation that stays faithful to the source is a valuable yet challenging task. Existing methods either access the manga mainly through text, losing its characters and art style, or feed ma

"doi": "",       "arxiv_id": "2610.26851",       "url": "https://arxiv.org/abs/2610.26851",

"arxiv_id": "2610.26851",       "url": "https://arxiv.org/abs/2610.26851",       "pdf_url": "https://arxiv.org/pdf/2610.26851",

"url": "https://arxiv.org/abs/2610.26851",

"pdf_url": "https://arxiv.org/pdf/2610.26851",

"year": 2026,       "citations": {         "gb7714": "Sheng-Wei Zhang, Hsi-An Chen, Yan-Ting Liou, et al.. Manga2Animate: An Agentic Framework for Faithful Manga Animation with Script and Storyboard Planning[EB/OL]. arXiv, 2026. https://arx

"citations": {         "gb7714": "Sheng-Wei Zhang, Hsi-An Chen, Yan-Ting Liou, et al.. Manga2Animate: An Agentic Framework for Faithful Manga Animation with Script and Storyboard Planning[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.2685

"gb7714": "Sheng-Wei Zhang, Hsi-An Chen, Yan-Ting Liou, et al.. Manga2Animate: An Agentic Framework for Faithful Manga Animation with Script and Storyboard Planning[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26851.",

"apa": "Zhang, S., Chen, H., Liou, Y., Chen, C., Tseng, S., & Liu, Y. (2026). Manga2Animate: An Agentic Framework for Faithful Manga Animation with Script and Storyboard Planning. arXiv. https://arxiv.org/abs/2610.26851",

"bibtex": "@misc{arxiv261026851,\n  title = {Manga2Animate: An Agentic Framework for Faithful Manga Animation with Script and Storyboard Planning},\n  author = {Sheng-Wei Zhang and Hsi-An Chen and Yan-Ting Liou and Chih-Hsuan Chen and Shih-

"doi": "",       "arxiv_id": "2610.26840",       "url": "https://arxiv.org/abs/2610.26840",

"arxiv_id": "2610.26840",       "url": "https://arxiv.org/abs/2610.26840",       "pdf_url": "https://arxiv.org/pdf/2610.26840",

"url": "https://arxiv.org/abs/2610.26840",

"pdf_url": "https://arxiv.org/pdf/2610.26840",

"year": 2026,       "citations": {         "gb7714": "Huawei Lin, Jinting Liu, Tan Yu, et al.. LatComm: Reusable Context Compression for Latent Communication between Large Language Models[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.2684

"citations": {         "gb7714": "Huawei Lin, Jinting Liu, Tan Yu, et al.. LatComm: Reusable Context Compression for Latent Communication between Large Language Models[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26840.",         "apa": 

"gb7714": "Huawei Lin, Jinting Liu, Tan Yu, et al.. LatComm: Reusable Context Compression for Latent Communication between Large Language Models[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26840.",

"apa": "Lin, H., Liu, J., Yu, T., & Zhao, W. (2026). LatComm: Reusable Context Compression for Latent Communication between Large Language Models. arXiv. https://arxiv.org/abs/2610.26840",

"bibtex": "@misc{arxiv261026840,\n  title = {LatComm: Reusable Context Compression for Latent Communication between Large Language Models},\n  author = {Huawei Lin and Jinting Liu and Tan Yu and Weijie Zhao},\n  year = {2026},\n  eprint = {

"Sepp Hochreiter"       ],       "abstract": "We propose KronLSTM, a linear attention architecture based on the Kronecker Delta Rule, a novel update rule for associative matrix memories. KronLSTM extends the xLSTM family with a memory-revis

],       "abstract": "We propose KronLSTM, a linear attention architecture based on the Kronecker Delta Rule, a novel update rule for associative matrix memories. KronLSTM extends the xLSTM family with a memory-revision mechanism that corre

"abstract": "We propose KronLSTM, a linear attention architecture based on the Kronecker Delta Rule, a novel update rule for associative matrix memories. KronLSTM extends the xLSTM family with a memory-revision mechanism that corrects targe

"doi": "",       "arxiv_id": "2610.26834",       "url": "https://arxiv.org/abs/2610.26834",

"arxiv_id": "2610.26834",       "url": "https://arxiv.org/abs/2610.26834",       "pdf_url": "https://arxiv.org/pdf/2610.26834",

"url": "https://arxiv.org/abs/2610.26834",

"pdf_url": "https://arxiv.org/pdf/2610.26834",

"year": 2026,       "citations": {         "gb7714": "Anamaria-Roberta Hartl, Levente Zólyomi, Michael List, et al.. Kronecker Delta Rule for Long Context Linear Attention[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26834.",

"citations": {         "gb7714": "Anamaria-Roberta Hartl, Levente Zólyomi, Michael List, et al.. Kronecker Delta Rule for Long Context Linear Attention[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26834.",         "apa": "Hartl, A., Zóly

"gb7714": "Anamaria-Roberta Hartl, Levente Zólyomi, Michael List, et al.. Kronecker Delta Rule for Long Context Linear Attention[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26834.",

"apa": "Hartl, A., Zólyomi, L., List, M., Klambauer, G., Böck, S., & Hochreiter, S. (2026). Kronecker Delta Rule for Long Context Linear Attention. arXiv. https://arxiv.org/abs/2610.26834",

"bibtex": "@misc{arxiv261026834,\n  title = {Kronecker Delta Rule for Long Context Linear Attention},\n  author = {Anamaria-Roberta Hartl and Levente Zólyomi and Michael List and Günter Klambauer and Sebastian Böck and Sepp Hochreiter},\n  

"Zhixiang Wang"       ],       "abstract": "Procedural generation plays a key role in synthetic data creation and game development, offering greater controllability, editability, and diversity than static mesh representations. However, VLM-

],       "abstract": "Procedural generation plays a key role in synthetic data creation and game development, offering greater controllability, editability, and diversity than static mesh representations. However, VLM-based code generation 

"abstract": "Procedural generation plays a key role in synthetic data creation and game development, offering greater controllability, editability, and diversity than static mesh representations. However, VLM-based code generation often pro

"doi": "",       "arxiv_id": "2610.26853",       "url": "https://arxiv.org/abs/2610.26853",

"arxiv_id": "2610.26853",       "url": "https://arxiv.org/abs/2610.26853",       "pdf_url": "https://arxiv.org/pdf/2610.26853",

"url": "https://arxiv.org/abs/2610.26853",

"pdf_url": "https://arxiv.org/pdf/2610.26853",

"year": 2026,       "citations": {         "gb7714": "Yi-Chuan Huang, Hao-Jen Chien, Zheng-Hui Huang, et al.. InfiniDream: Open-Ended Photorealistic 3D Worlds Through Procedural Generation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.268

"citations": {         "gb7714": "Yi-Chuan Huang, Hao-Jen Chien, Zheng-Hui Huang, et al.. InfiniDream: Open-Ended Photorealistic 3D Worlds Through Procedural Generation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26853.",         "apa":

"gb7714": "Yi-Chuan Huang, Hao-Jen Chien, Zheng-Hui Huang, et al.. InfiniDream: Open-Ended Photorealistic 3D Worlds Through Procedural Generation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26853.",

"apa": "Huang, Y., Chien, H., Huang, Z., Liu, Y., Zhang, K., & Wang, Z. (2026). InfiniDream: Open-Ended Photorealistic 3D Worlds Through Procedural Generation. arXiv. https://arxiv.org/abs/2610.26853",

"bibtex": "@misc{arxiv261026853,\n  title = {InfiniDream: Open-Ended Photorealistic 3D Worlds Through Procedural Generation},\n  author = {Yi-Chuan Huang and Hao-Jen Chien and Zheng-Hui Huang and Yu-Lun Liu and Kaipeng Zhang and Zhixiang Wa

"doi": "",       "arxiv_id": "2610.26765",       "url": "https://arxiv.org/abs/2610.26765",

"arxiv_id": "2610.26765",       "url": "https://arxiv.org/abs/2610.26765",       "pdf_url": "https://arxiv.org/pdf/2610.26765",

"url": "https://arxiv.org/abs/2610.26765",

"pdf_url": "https://arxiv.org/pdf/2610.26765",

"year": 2026,       "citations": {         "gb7714": "Tianwei Luo, Yiming He, Hongjin Wu, et al.. HandsOn: A Large-Scale Simulation Benchmark for Generalizable Dexterous Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26765.",

"citations": {         "gb7714": "Tianwei Luo, Yiming He, Hongjin Wu, et al.. HandsOn: A Large-Scale Simulation Benchmark for Generalizable Dexterous Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26765.",         "apa": "Luo,

"gb7714": "Tianwei Luo, Yiming He, Hongjin Wu, et al.. HandsOn: A Large-Scale Simulation Benchmark for Generalizable Dexterous Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26765.",

"apa": "Luo, T., He, Y., Wu, H., Pan, T., Ren, D., Guo, H., Yang, J., Zuo, Y., Kou, Z., Yang, K., Lai, Z., Ding, Y., Yu, J., Zhang, Y., Qiu, Z., Li, H., & Ding, N. (2026). HandsOn: A Large-Scale Simulation Benchmark for Generalizable Dexter

"bibtex": "@misc{arxiv261026765,\n  title = {HandsOn: A Large-Scale Simulation Benchmark for Generalizable Dexterous Manipulation},\n  author = {Tianwei Luo and Yiming He and Hongjin Wu and Ting Pan and Debin Ren and Haorui Guo and Junlin Y

"Liang Zheng"       ],       "abstract": "Text-to-image models have made tremendous progress and can produce high-quality images. However, a question which would be asked in any other discipline is where the frontier models fall short. We i

],       "abstract": "Text-to-image models have made tremendous progress and can produce high-quality images. However, a question which would be asked in any other discipline is where the frontier models fall short. We introduce GenOlympiad

"abstract": "Text-to-image models have made tremendous progress and can produce high-quality images. However, a question which would be asked in any other discipline is where the frontier models fall short. We introduce GenOlympiad, a bench

"doi": "",       "arxiv_id": "2610.26850",       "url": "https://arxiv.org/abs/2610.26850",

"arxiv_id": "2610.26850",       "url": "https://arxiv.org/abs/2610.26850",       "pdf_url": "https://arxiv.org/pdf/2610.26850",

"url": "https://arxiv.org/abs/2610.26850",

"pdf_url": "https://arxiv.org/pdf/2610.26850",

"year": 2026,       "citations": {         "gb7714": "Xi Hu, Martin Bell, Liang Zheng. GenOlympiad: Benchmarking Frontier Image Models at Their Capability Boundaries[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26850.",

"citations": {         "gb7714": "Xi Hu, Martin Bell, Liang Zheng. GenOlympiad: Benchmarking Frontier Image Models at Their Capability Boundaries[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26850.",         "apa": "Hu, X., Bell, M., & Z

"gb7714": "Xi Hu, Martin Bell, Liang Zheng. GenOlympiad: Benchmarking Frontier Image Models at Their Capability Boundaries[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26850.",

"apa": "Hu, X., Bell, M., & Zheng, L. (2026). GenOlympiad: Benchmarking Frontier Image Models at Their Capability Boundaries. arXiv. https://arxiv.org/abs/2610.26850",

"bibtex": "@misc{arxiv261026850,\n  title = {GenOlympiad: Benchmarking Frontier Image Models at Their Capability Boundaries},\n  author = {Xi Hu and Martin Bell and Liang Zheng},\n  year = {2026},\n  eprint = {2610.26850},\n  archivePrefix 

"doi": "",       "arxiv_id": "2610.26846",       "url": "https://arxiv.org/abs/2610.26846",

"arxiv_id": "2610.26846",       "url": "https://arxiv.org/abs/2610.26846",       "pdf_url": "https://arxiv.org/pdf/2610.26846",

"url": "https://arxiv.org/abs/2610.26846",

"pdf_url": "https://arxiv.org/pdf/2610.26846",

"year": 2026,       "citations": {         "gb7714": "Chen Yang, Linzhe Shi, Hang Zhang, et al.. GPT-6 Astra Is a Native Visuo-Tactile Policy for Contact-Rich Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26846.",

"citations": {         "gb7714": "Chen Yang, Linzhe Shi, Hang Zhang, et al.. GPT-6 Astra Is a Native Visuo-Tactile Policy for Contact-Rich Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26846.",         "apa": "Yang, C., Shi, 

"gb7714": "Chen Yang, Linzhe Shi, Hang Zhang, et al.. GPT-6 Astra Is a Native Visuo-Tactile Policy for Contact-Rich Manipulation[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26846.",

"apa": "Yang, C., Shi, L., Zhang, H., Xu, M., Fan, J., & Wang, C. (2026). GPT-6 Astra Is a Native Visuo-Tactile Policy for Contact-Rich Manipulation. arXiv. https://arxiv.org/abs/2610.26846",

"bibtex": "@misc{arxiv261026846,\n  title = {GPT-6 Astra Is a Native Visuo-Tactile Policy for Contact-Rich Manipulation},\n  author = {Chen Yang and Linzhe Shi and Hang Zhang and Mu Xu and Jiansheng Fan and Chen Wang},\n  year = {2026},\n  

"Cordelia Schmid"       ],       "abstract": "We introduce DexOAK, a learning-based object-aware kinematic retargeting framework for generating contact-consistent robot hand references from human motion-capture data. DexOAK first minimizes 

],       "abstract": "We introduce DexOAK, a learning-based object-aware kinematic retargeting framework for generating contact-consistent robot hand references from human motion-capture data. DexOAK first minimizes an interaction-graph Lap

"abstract": "We introduce DexOAK, a learning-based object-aware kinematic retargeting framework for generating contact-consistent robot hand references from human motion-capture data. DexOAK first minimizes an interaction-graph Laplacian ob

"doi": "",       "arxiv_id": "2610.26762",       "url": "https://arxiv.org/abs/2610.26762",

"arxiv_id": "2610.26762",       "url": "https://arxiv.org/abs/2610.26762",       "pdf_url": "https://arxiv.org/pdf/2610.26762",

"url": "https://arxiv.org/abs/2610.26762",

"pdf_url": "https://arxiv.org/pdf/2610.26762",

"year": 2026,       "citations": {         "gb7714": "Federica Spinola, Robert Katzschmann, Cordelia Schmid. DexOAK: Object-Aware Kinematic Retargeting[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26762.",

"citations": {         "gb7714": "Federica Spinola, Robert Katzschmann, Cordelia Schmid. DexOAK: Object-Aware Kinematic Retargeting[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26762.",         "apa": "Spinola, F., Katzschmann, R., & Sch

"gb7714": "Federica Spinola, Robert Katzschmann, Cordelia Schmid. DexOAK: Object-Aware Kinematic Retargeting[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26762.",

"apa": "Spinola, F., Katzschmann, R., & Schmid, C. (2026). DexOAK: Object-Aware Kinematic Retargeting. arXiv. https://arxiv.org/abs/2610.26762",

"bibtex": "@misc{arxiv261026762,\n  title = {DexOAK: Object-Aware Kinematic Retargeting},\n  author = {Federica Spinola and Robert Katzschmann and Cordelia Schmid},\n  year = {2026},\n  eprint = {2610.26762},\n  archivePrefix = {arXiv},\n  

"Jiachen Li"       ],       "abstract": "Reinforcement learning enables mobile robots to make fast and scalable navigation decisions in constrained human-shared environments. However, directly extending single-robot approaches to multi-robo

],       "abstract": "Reinforcement learning enables mobile robots to make fast and scalable navigation decisions in constrained human-shared environments. However, directly extending single-robot approaches to multi-robot settings often fa

"abstract": "Reinforcement learning enables mobile robots to make fast and scalable navigation decisions in constrained human-shared environments. However, directly extending single-robot approaches to multi-robot settings often fails to en

"doi": "",       "arxiv_id": "2610.26852",       "url": "https://arxiv.org/abs/2610.26852",

"arxiv_id": "2610.26852",       "url": "https://arxiv.org/abs/2610.26852",       "pdf_url": "https://arxiv.org/pdf/2610.26852",

"url": "https://arxiv.org/abs/2610.26852",

"pdf_url": "https://arxiv.org/pdf/2610.26852",

"year": 2026,       "citations": {         "gb7714": "Zehao Wang, Jianpeng Yao, Yuping Wang, et al.. CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.

"citations": {         "gb7714": "Zehao Wang, Jianpeng Yao, Yuping Wang, et al.. CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26852.",         "ap

"gb7714": "Zehao Wang, Jianpeng Yao, Yuping Wang, et al.. CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26852.",

"apa": "Wang, Z., Yao, J., Wang, Y., Li, Y., Li, J., Li, Z., Lee, K., Wang, J., Liu, C., Tan, Z., Park, J., & Li, J. (2026). CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting. arXiv. https://arxiv.or

"bibtex": "@misc{arxiv261026852,\n  title = {CoopUQ: Robust Multi-Robot Social Navigation via Uncertainty-Aware Cooperative Forecasting},\n  author = {Zehao Wang and Jianpeng Yao and Yuping Wang and Yiping Li and Jiaqi Li and Zhixu Li and K

"doi": "",       "arxiv_id": "2610.26830",       "url": "https://arxiv.org/abs/2610.26830",

"arxiv_id": "2610.26830",       "url": "https://arxiv.org/abs/2610.26830",       "pdf_url": "https://arxiv.org/pdf/2610.26830",

"url": "https://arxiv.org/abs/2610.26830",

"pdf_url": "https://arxiv.org/pdf/2610.26830",

"year": 2026,       "citations": {         "gb7714": "Xingyu Shen, Yingfa Chen, Ziqing Qiao, et al.. Competing Learning in Hybrid Architectures[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26830.",

"citations": {         "gb7714": "Xingyu Shen, Yingfa Chen, Ziqing Qiao, et al.. Competing Learning in Hybrid Architectures[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26830.",         "apa": "Shen, X., Chen, Y., Qiao, Z., Xiao, C., Han

"gb7714": "Xingyu Shen, Yingfa Chen, Ziqing Qiao, et al.. Competing Learning in Hybrid Architectures[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26830.",

"apa": "Shen, X., Chen, Y., Qiao, Z., Xiao, C., Han, X., & Liu, Z. (2026). Competing Learning in Hybrid Architectures. arXiv. https://arxiv.org/abs/2610.26830",

"bibtex": "@misc{arxiv261026830,\n  title = {Competing Learning in Hybrid Architectures},\n  author = {Xingyu Shen and Yingfa Chen and Ziqing Qiao and Chaojun Xiao and Xu Han and Zhiyuan Liu},\n  year = {2026},\n  eprint = {2610.26830},\n  

"doi": "",       "arxiv_id": "2610.26861",       "url": "https://arxiv.org/abs/2610.26861",

"arxiv_id": "2610.26861",       "url": "https://arxiv.org/abs/2610.26861",       "pdf_url": "https://arxiv.org/pdf/2610.26861",

"url": "https://arxiv.org/abs/2610.26861",

"pdf_url": "https://arxiv.org/pdf/2610.26861",

"year": 2026,       "citations": {         "gb7714": "Wenqian Zhang, Yangyi Huang, Zigeng Xu, et al.. Can It Actually Work? Synthesizing Functional CAD Mechanisms[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26861.",

"citations": {         "gb7714": "Wenqian Zhang, Yangyi Huang, Zigeng Xu, et al.. Can It Actually Work? Synthesizing Functional CAD Mechanisms[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26861.",         "apa": "Zhang, W., Huang, Y., Xu

"gb7714": "Wenqian Zhang, Yangyi Huang, Zigeng Xu, et al.. Can It Actually Work? Synthesizing Functional CAD Mechanisms[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26861.",

"apa": "Zhang, W., Huang, Y., Xu, Z., Liu, W., & Liu, Z. (2026). Can It Actually Work? Synthesizing Functional CAD Mechanisms. arXiv. https://arxiv.org/abs/2610.26861",

"bibtex": "@misc{arxiv261026861,\n  title = {Can It Actually Work? Synthesizing Functional CAD Mechanisms},\n  author = {Wenqian Zhang and Yangyi Huang and Zigeng Xu and Weiyang Liu and Zhen Liu},\n  year = {2026},\n  eprint = {2610.26861},

"doi": "",       "arxiv_id": "2610.26810",       "url": "https://arxiv.org/abs/2610.26810",

"arxiv_id": "2610.26810",       "url": "https://arxiv.org/abs/2610.26810",       "pdf_url": "https://arxiv.org/pdf/2610.26810",

"url": "https://arxiv.org/abs/2610.26810",

"pdf_url": "https://arxiv.org/pdf/2610.26810",

"year": 2026,       "citations": {         "gb7714": "Shreyansh Pitroda, Eric Sihite, Alireza Ramezani, et al.. Bio-inspired Thrust-Assisted Trotting on a legged-Aerial Robot via Real-Time QP-MPC[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2

"citations": {         "gb7714": "Shreyansh Pitroda, Eric Sihite, Alireza Ramezani, et al.. Bio-inspired Thrust-Assisted Trotting on a legged-Aerial Robot via Real-Time QP-MPC[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26810.",        

"gb7714": "Shreyansh Pitroda, Eric Sihite, Alireza Ramezani, et al.. Bio-inspired Thrust-Assisted Trotting on a legged-Aerial Robot via Real-Time QP-MPC[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26810.",

"apa": "Pitroda, S., Sihite, E., Ramezani, A., & Gharib, M. (2026). Bio-inspired Thrust-Assisted Trotting on a legged-Aerial Robot via Real-Time QP-MPC. arXiv. https://arxiv.org/abs/2610.26810",

"bibtex": "@misc{arxiv261026810,\n  title = {Bio-inspired Thrust-Assisted Trotting on a legged-Aerial Robot via Real-Time QP-MPC},\n  author = {Shreyansh Pitroda and Eric Sihite and Alireza Ramezani and Morteza Gharib},\n  year = {2026},\n 

"doi": "",       "arxiv_id": "2610.26844",       "url": "https://arxiv.org/abs/2610.26844",

"arxiv_id": "2610.26844",       "url": "https://arxiv.org/abs/2610.26844",       "pdf_url": "https://arxiv.org/pdf/2610.26844",

"url": "https://arxiv.org/abs/2610.26844",

"pdf_url": "https://arxiv.org/pdf/2610.26844",

"year": 2026,       "citations": {         "gb7714": "Heejeong Nam, Divyat Mahajan, Quentin Le Lidec, et al.. AnyGoal: On World Model Generalization Beyond Expert Rollouts[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26844.",

"citations": {         "gb7714": "Heejeong Nam, Divyat Mahajan, Quentin Le Lidec, et al.. AnyGoal: On World Model Generalization Beyond Expert Rollouts[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26844.",         "apa": "Nam, H., Mahaja

"gb7714": "Heejeong Nam, Divyat Mahajan, Quentin Le Lidec, et al.. AnyGoal: On World Model Generalization Beyond Expert Rollouts[EB/OL]. arXiv, 2026. https://arxiv.org/abs/2610.26844.",

"apa": "Nam, H., Mahajan, D., Lidec, Q. L., Balestriero, R., & Klindt, D. (2026). AnyGoal: On World Model Generalization Beyond Expert Rollouts. arXiv. https://arxiv.org/abs/2610.26844",

"bibtex": "@misc{arxiv261026844,\n  title = {AnyGoal: On World Model Generalization Beyond Expert Rollouts},\n  author = {Heejeong Nam and Divyat Mahajan and Quentin Le Lidec and Randall Balestriero and David Klindt},\n  year = {2026},\n  e

"abstract": "Purpose This study aims to examine how users’ experiences of artificial intelligence (AI) inclusion, reflected in feelings of belonging and authenticity during human–AI interaction, are associated with user satisfaction and int

"doi": "10.1108/jsit-09-2025-0425",       "url": "https://doi.org/10.1108/jsit-09-2025-0425",       "pdf_url": "",

"url": "https://doi.org/10.1108/jsit-09-2025-0425",

"citations": {         "gb7714": "Rasha Alahmad, Nikhat Afshan, Chigozie Francis Obasi, 等. Feeling included by AI: belonging and authenticity in human–AI interaction[J/OL]. Journal of Systems and Information Technology, 2026: 1-25. DOI: 10.

"gb7714": "Rasha Alahmad, Nikhat Afshan, Chigozie Francis Obasi, 等. Feeling included by AI: belonging and authenticity in human–AI interaction[J/OL]. Journal of Systems and Information Technology, 2026: 1-25. DOI: 10.1108/jsit-09-2025-0425.

"apa": "Alahmad, R., Afshan, N., Obasi, C. F., & Javed, I. (2026). Feeling included by AI: belonging and authenticity in human–AI interaction. Journal of Systems and Information Technology, 1-25. https://doi.org/10.1108/jsit-09-2025-0425",

"bibtex": "@article{papercash7e3f3fbcbb78984c79ec,\n  title = {Feeling included by AI: belonging and authenticity in human–AI interaction},\n  author = {Rasha Alahmad and Nikhat Afshan and Chigozie Francis Obasi and Isma Javed},\n  year = {

"abstract": "",       "doi": "10.1016/j.dsm.2026.100214",       "url": "https://doi.org/10.1016/j.dsm.2026.100214",

"doi": "10.1016/j.dsm.2026.100214",       "url": "https://doi.org/10.1016/j.dsm.2026.100214",       "pdf_url": "",

"url": "https://doi.org/10.1016/j.dsm.2026.100214",

"citations": {         "gb7714": "Li Zhou, Yu Li, Zining Zhang, 等. Human-AI interaction: themes, applications, and challenges[J/OL]. Data Science and Management, 2026: 100214. DOI: 10.1016/j.dsm.2026.100214.",         "apa": "Zhou, L., Li, 

"gb7714": "Li Zhou, Yu Li, Zining Zhang, 等. Human-AI interaction: themes, applications, and challenges[J/OL]. Data Science and Management, 2026: 100214. DOI: 10.1016/j.dsm.2026.100214.",         "apa": "Zhou, L., Li, Y., Zhang, Z., & Chen, 

"apa": "Zhou, L., Li, Y., Zhang, Z., & Chen, X. (2026). Human-AI interaction: themes, applications, and challenges. Data Science and Management, 100214. https://doi.org/10.1016/j.dsm.2026.100214",

"bibtex": "@article{papercash822ca9aeee5fc516d724,\n  title = {Human-AI interaction: themes, applications, and challenges},\n  author = {Li Zhou and Yu Li and Zining Zhang and Xiaoyun Chen},\n  year = {2026},\n  journal = {Data Science and 

"abstract": "",       "doi": "10.1057/s41599-026-09043-5",       "url": "https://doi.org/10.1057/s41599-026-09043-5",

"doi": "10.1057/s41599-026-09043-5",       "url": "https://doi.org/10.1057/s41599-026-09043-5",       "pdf_url": "",

"url": "https://doi.org/10.1057/s41599-026-09043-5",

"citations": {         "gb7714": "Yepeng Wu, Yuanyuan Jiao, Ping Li, 等. Dancing with AI: how human-AI interaction affects employee task performance[J/OL]. Humanities and Social Sciences Communications, 2026, 13(1). DOI: 10.1057/s41599-026-0

"gb7714": "Yepeng Wu, Yuanyuan Jiao, Ping Li, 等. Dancing with AI: how human-AI interaction affects employee task performance[J/OL]. Humanities and Social Sciences Communications, 2026, 13(1). DOI: 10.1057/s41599-026-09043-5.",         "apa"

"apa": "Wu, Y., Jiao, Y., Li, P., & Liang, Y. (2026). Dancing with AI: how human-AI interaction affects employee task performance. Humanities and Social Sciences Communications, 13(1). https://doi.org/10.1057/s41599-026-09043-5",

"bibtex": "@article{papercashb4e8f6f3bbb3f08376d1,\n  title = {Dancing with AI: how human-AI interaction affects employee task performance},\n  author = {Yepeng Wu and Yuanyuan Jiao and Ping Li and Yujie Liang},\n  year = {2026},\n  journal

"abstract": "",       "doi": "10.1049/icp.2026.2543",       "url": "https://doi.org/10.1049/icp.2026.2543",

"doi": "10.1049/icp.2026.2543",       "url": "https://doi.org/10.1049/icp.2026.2543",       "pdf_url": "",

"url": "https://doi.org/10.1049/icp.2026.2543",

"citations": {         "gb7714": "Ratnam Dodda, Rabel Guharoy, Manikanta Paka, 等. SympTrack: machine learning meets medical symptoms[C]. IET Conference Proceedings, 2026, 2025(63): 669-673. DOI: 10.1049/icp.2026.2543.",         "apa": "Dodd

"gb7714": "Ratnam Dodda, Rabel Guharoy, Manikanta Paka, 等. SympTrack: machine learning meets medical symptoms[C]. IET Conference Proceedings, 2026, 2025(63): 669-673. DOI: 10.1049/icp.2026.2543.",         "apa": "Dodda, R., Guharoy, R., Pak

"apa": "Dodda, R., Guharoy, R., Paka, M., Reddy, A. V., Kichad, R., & Reddy, G. R. (2026). SympTrack: machine learning meets medical symptoms. IET Conference Proceedings, 2025(63), 669-673. https://doi.org/10.1049/icp.2026.2543",

"bibtex": "@article{papercash4887f431e6395fdcd183,\n  title = {SympTrack: machine learning meets medical symptoms},\n  author = {Ratnam Dodda and Rabel Guharoy and Manikanta Paka and Alavala VishnuKanth Reddy and Rahul Kichad and G. Raghura

"abstract": "This paper presents a comprehensive analysis of deep learning applications in medical imaging analysis. We examine the evolution of medical image processing from traditional computer vision approaches to sophisticated deep lear

"doi": "10.66069/ojspub.27450770",       "url": "https://doi.org/10.66069/ojspub.27450770",       "pdf_url": "",

"url": "https://doi.org/10.66069/ojspub.27450770",

"citations": {         "gb7714": "Gayatri Gupta, Aafila Shrivastava. Deep Learning for Medical Imaging Analysis[J/OL]. Journal of Artificial Intelligence and Information, 2026, 8(7): 425-427. DOI: 10.66069/ojspub.27450770.",         "apa": 

"gb7714": "Gayatri Gupta, Aafila Shrivastava. Deep Learning for Medical Imaging Analysis[J/OL]. Journal of Artificial Intelligence and Information, 2026, 8(7): 425-427. DOI: 10.66069/ojspub.27450770.",         "apa": "Gupta, G. & Shrivastav

"apa": "Gupta, G. & Shrivastava, A. (2026). Deep Learning for Medical Imaging Analysis. Journal of Artificial Intelligence and Information, 8(7), 425-427. https://doi.org/10.66069/ojspub.27450770",

"bibtex": "@article{papercash9b056a94089c2379659d,\n  title = {Deep Learning for Medical Imaging Analysis},\n  author = {Gayatri Gupta and Aafila Shrivastava},\n  year = {2026},\n  journal = {Journal of Artificial Intelligence and Informati

"abstract": "Quantum computing, agentic artificial intelligence (AI), and machine learning (ML) are converging to reshape adaptive medical imaging. This paper presents a hybrid Agentic Quantum Machine Learning (AQML) framework featuring a Q

"doi": "10.64820/aepjcser.31.48.55.62026",       "url": "https://doi.org/10.64820/aepjcser.31.48.55.62026",       "pdf_url": "",

"url": "https://doi.org/10.64820/aepjcser.31.48.55.62026",

"citations": {         "gb7714": "Muthukumarapandian Chandrasekaran. Quantum Reasoner Agents for Adaptive Medical Imaging with Hybrid Agentic Quantum Machine Learning Framework[J/OL]. Journal of Computer Science and Engineering Research, 20

"gb7714": "Muthukumarapandian Chandrasekaran. Quantum Reasoner Agents for Adaptive Medical Imaging with Hybrid Agentic Quantum Machine Learning Framework[J/OL]. Journal of Computer Science and Engineering Research, 2026, 3(1): 48-55. DOI: 1

"apa": "Chandrasekaran, M. (2026). Quantum Reasoner Agents for Adaptive Medical Imaging with Hybrid Agentic Quantum Machine Learning Framework. Journal of Computer Science and Engineering Research, 3(1), 48-55. https://doi.org/10.64820/aepj

"bibtex": "@article{papercashda76856267d4ef9ccbe0,\n  title = {Quantum Reasoner Agents for Adaptive Medical Imaging with Hybrid Agentic Quantum Machine Learning Framework},\n  author = {Muthukumarapandian Chandrasekaran},\n  year = {2026},\

"abstract": "",       "doi": "10.1080/10447318.2026.2691241",       "url": "https://doi.org/10.1080/10447318.2026.2691241",

"doi": "10.1080/10447318.2026.2691241",       "url": "https://doi.org/10.1080/10447318.2026.2691241",       "pdf_url": "",

"url": "https://doi.org/10.1080/10447318.2026.2691241",

"citations": {         "gb7714": "Songsong Cheng, Qunpeng Fan. From Interaction to Involution: Human-AI Interaction and Employee Work Involution[J/OL]. International Journal of Human–Computer Interaction, 2026: 1-18. DOI: 10.1080/10447318.2

"gb7714": "Songsong Cheng, Qunpeng Fan. From Interaction to Involution: Human-AI Interaction and Employee Work Involution[J/OL]. International Journal of Human–Computer Interaction, 2026: 1-18. DOI: 10.1080/10447318.2026.2691241.",         

"apa": "Cheng, S. & Fan, Q. (2026). From Interaction to Involution: Human-AI Interaction and Employee Work Involution. International Journal of Human–Computer Interaction, 1-18. https://doi.org/10.1080/10447318.2026.2691241",

"bibtex": "@article{papercash5f6842ab93bf2b1cec88,\n  title = {From Interaction to Involution: Human-AI Interaction and Employee Work Involution},\n  author = {Songsong Cheng and Qunpeng Fan},\n  year = {2026},\n  journal = {International J

"abstract": "",       "doi": "10.68296/ijvast20260035",       "url": "https://doi.org/10.68296/ijvast20260035",

"doi": "10.68296/ijvast20260035",       "url": "https://doi.org/10.68296/ijvast20260035",       "pdf_url": "",

"url": "https://doi.org/10.68296/ijvast20260035",

"citations": {         "gb7714": "Gayatri Hingane, Shraddha Raut. AI-Based Early Detection of Bone Cancer from Medical Imaging using Machine Learning[J/OL]. International Journal of Vast Advancements in Science and Technology, 2026, 1(6). D

"gb7714": "Gayatri Hingane, Shraddha Raut. AI-Based Early Detection of Bone Cancer from Medical Imaging using Machine Learning[J/OL]. International Journal of Vast Advancements in Science and Technology, 2026, 1(6). DOI: 10.68296/ijvast2026

"apa": "Raut, G. H. S. (2026). AI-Based Early Detection of Bone Cancer from Medical Imaging using Machine Learning. International Journal of Vast Advancements in Science and Technology, 1(6). https://doi.org/10.68296/ijvast20260035",

"bibtex": "@article{papercash3536bb2d52a92784e377,\n  title = {AI-Based Early Detection of Bone Cancer from Medical Imaging using Machine Learning},\n  author = {Gayatri Hingane, Shraddha Raut},\n  year = {2026},\n  journal = {International

"abstract": "Accurate medical image segmentation is critical for diagnosis and treatment planning, yet manual delineation is time consuming and prone to error. Automatic methods like thresholding and edge detection often fail in the presenc

"doi": "10.36948/ijfmr.2026.v08i03.79909",       "url": "https://doi.org/10.36948/ijfmr.2026.v08i03.79909",       "pdf_url": "",

"url": "https://doi.org/10.36948/ijfmr.2026.v08i03.79909",

"citations": {         "gb7714": "Lakshmi Inturi, Nageswara Rao Kapu. Medical Image Segmentation Using Machine Learning[J/OL]. International Journal For Multidisciplinary Research, 2026, 8(3). DOI: 10.36948/ijfmr.2026.v08i03.79909.",       

"gb7714": "Lakshmi Inturi, Nageswara Rao Kapu. Medical Image Segmentation Using Machine Learning[J/OL]. International Journal For Multidisciplinary Research, 2026, 8(3). DOI: 10.36948/ijfmr.2026.v08i03.79909.",         "apa": "Inturi, L. & 

"apa": "Inturi, L. & Kapu, N. R. (2026). Medical Image Segmentation Using Machine Learning. International Journal For Multidisciplinary Research, 8(3). https://doi.org/10.36948/ijfmr.2026.v08i03.79909",

"bibtex": "@article{papercash7ac8623f8b461cc68adb,\n  title = {Medical Image Segmentation Using Machine Learning},\n  author = {Lakshmi Inturi and Nageswara Rao Kapu},\n  year = {2026},\n  journal = {International Journal For Multidisciplin

"abstract": "Medical imaging has long played a pivotal role in healthcare, from early detection to disease monitoring, making its importance in diagnosis undeniable. Given this critical role, the incorporation of Artificial Intelligence (AI

"doi": "10.2174/0115743624392981251201085036",       "url": "https://doi.org/10.2174/0115743624392981251201085036",       "pdf_url": "",

"url": "https://doi.org/10.2174/0115743624392981251201085036",

"citations": {         "gb7714": "Prasanna Mathi, Karunasree Repaka, Bushra Muneeb, 等. Advancements in Medical Imaging and Diagnostics with Machine Learning: Current Trends and Future Directions[J/OL]. Current Signal Transduction Therapy, 2

"gb7714": "Prasanna Mathi, Karunasree Repaka, Bushra Muneeb, 等. Advancements in Medical Imaging and Diagnostics with Machine Learning: Current Trends and Future Directions[J/OL]. Current Signal Transduction Therapy, 2026, 21. DOI: 10.2174/0

"apa": "Mathi, P., Repaka, K., Muneeb, B., & Kumar, V. (2026). Advancements in Medical Imaging and Diagnostics with Machine Learning: Current Trends and Future Directions. Current Signal Transduction Therapy, 21. https://doi.org/10.2174/011

"bibtex": "@article{papercash5373a74a4f16547d8b46,\n  title = {Advancements in Medical Imaging and Diagnostics with Machine Learning: Current Trends and Future Directions},\n  author = {Prasanna Mathi and Karunasree Repaka and Bushra Muneeb

"abstract": "ABSTRACT Wearable textile interfaces hold significant promise for advanced human–machine interaction, yet realizing wireless, battery-free on-body signal generation without embedded circuitry in textiles remains a formidable ch

"doi": "10.1093/nsr/nwag231",       "url": "https://doi.org/10.1093/nsr/nwag231",       "pdf_url": "",

"url": "https://doi.org/10.1093/nsr/nwag231",

"citations": {         "gb7714": "Ya Sun, Xuanyu Cui, Gaoyang Kong, 等. Textile emitter for AI-enhanced human–machine interaction[J/OL]. National Science Review, 2026, 13(12). DOI: 10.1093/nsr/nwag231.",         "apa": "Sun, Y., Cui, X., Kon

"gb7714": "Ya Sun, Xuanyu Cui, Gaoyang Kong, 等. Textile emitter for AI-enhanced human–machine interaction[J/OL]. National Science Review, 2026, 13(12). DOI: 10.1093/nsr/nwag231.",         "apa": "Sun, Y., Cui, X., Kong, G., Li, J., Chen, X.

"apa": "Sun, Y., Cui, X., Kong, G., Li, J., Chen, X., Xu, J., Xu, C., Jin, P., Hou, T., Pan, H., Zhang, D., & Zhou, H. (2026). Textile emitter for AI-enhanced human–machine interaction. National Science Review, 13(12). https://doi.org/10.10

"bibtex": "@article{papercash944338c80cb4f66a81c6,\n  title = {Textile emitter for AI-enhanced human–machine interaction},\n  author = {Ya Sun and Xuanyu Cui and Gaoyang Kong and Jiaxin Li and Xiaomei Chen and Jianing Xu and Chengxin Xu and

"abstract": "Introduction: The radiology unit of healthcare management has seen a remarkable transformation with the integration of Artificial Intelligence (AI) and Machine Learning (ML), which offers higher diagnostic accuracy, increased e

"doi": "10.2174/0123520965407792250811093550",       "url": "https://doi.org/10.2174/0123520965407792250811093550",       "pdf_url": "",

"url": "https://doi.org/10.2174/0123520965407792250811093550",

"citations": {         "gb7714": "Virendra S. Gomase, Arjun P. Ghatule. Artificial Intelligence and Machine Learning Approaches in Radiology for Medical Imaging Diagnostics[J/OL]. Recent Advances in Electrical & Electronic Engineering (Form

"gb7714": "Virendra S. Gomase, Arjun P. Ghatule. Artificial Intelligence and Machine Learning Approaches in Radiology for Medical Imaging Diagnostics[J/OL]. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on 

"apa": "Gomase, V. S. & Ghatule, A. P. (2026). Artificial Intelligence and Machine Learning Approaches in Radiology for Medical Imaging Diagnostics. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electric

"bibtex": "@article{papercashfe4930b72b49cd8a6884,\n  title = {Artificial Intelligence and Machine Learning Approaches in Radiology for Medical Imaging Diagnostics},\n  author = {Virendra S. Gomase and Arjun P. Ghatule},\n  year = {2026},\n

"abstract": "",       "doi": "10.21037/qims-2025-aw-2168",       "url": "https://doi.org/10.21037/qims-2025-aw-2168",

"doi": "10.21037/qims-2025-aw-2168",       "url": "https://doi.org/10.21037/qims-2025-aw-2168",       "pdf_url": "",

"url": "https://doi.org/10.21037/qims-2025-aw-2168",

"citations": {         "gb7714": "Wuyi Ming, Ting Liu, Rui Hu, 等. Progress in machine learning-assisted medical imaging for osteoarthritis and osteoporosis diagnosis: a narrative review[J/OL]. Quantitative Imaging in Medicine and Surgery, 2

"gb7714": "Wuyi Ming, Ting Liu, Rui Hu, 等. Progress in machine learning-assisted medical imaging for osteoarthritis and osteoporosis diagnosis: a narrative review[J/OL]. Quantitative Imaging in Medicine and Surgery, 2026, 16(4): 320-320. DO

"apa": "Ming, W., Liu, T., Hu, R., He, W., & Yang, Y. (2026). Progress in machine learning-assisted medical imaging for osteoarthritis and osteoporosis diagnosis: a narrative review. Quantitative Imaging in Medicine and Surgery, 16(4), 320-

"bibtex": "@article{papercashbd4a7dfe160125402cfe,\n  title = {Progress in machine learning-assisted medical imaging for osteoarthritis and osteoporosis diagnosis: a narrative review},\n  author = {Wuyi Ming and Ting Liu and Rui Hu and Wenb

"abstract": "",       "doi": "10.1016/j.radi.2026.103339",       "url": "https://doi.org/10.1016/j.radi.2026.103339",

"doi": "10.1016/j.radi.2026.103339",       "url": "https://doi.org/10.1016/j.radi.2026.103339",       "pdf_url": "",

"url": "https://doi.org/10.1016/j.radi.2026.103339",

"citations": {         "gb7714": "M.T. Chau, K.M. Spuur, S. White, 等. Malpractice in the machine age: Legal and ethical responses to machine learning in medical imaging[J/OL]. Radiography, 2026, 32(3): 103339. DOI: 10.1016/j.radi.2026.10333

"gb7714": "M.T. Chau, K.M. Spuur, S. White, 等. Malpractice in the machine age: Legal and ethical responses to machine learning in medical imaging[J/OL]. Radiography, 2026, 32(3): 103339. DOI: 10.1016/j.radi.2026.103339.",         "apa": "Ch

"apa": "Chau, M., Spuur, K., White, S., Pyper, A., & Crossman, M. (2026). Malpractice in the machine age: Legal and ethical responses to machine learning in medical imaging. Radiography, 32(3), 103339. https://doi.org/10.1016/j.radi.2026.10

"bibtex": "@article{papercashc75d0ad2465f25adc1c6,\n  title = {Malpractice in the machine age: Legal and ethical responses to machine learning in medical imaging},\n  author = {M.T. Chau and K.M. Spuur and S. White and A. Pyper and M. Cross

"abstract": "Dan Wu, Shaobo Liang, and their co-authors make a strong case in Human-AI Interaction and Collaboration that the days of considering artificial intelligence (AI) as a simple computing tool are over. The authors instead propose 

"doi": "10.55613/jeet.v36i1.218",       "url": "https://doi.org/10.55613/jeet.v36i1.218",       "pdf_url": "",

"url": "https://doi.org/10.55613/jeet.v36i1.218",

"citations": {         "gb7714": "Michael Umeokoli. Review of Human-AI Interaction and Collaboration[J/OL]. Journal of Ethics and Emerging Technologies, 2026, 36(1): 1-3. DOI: 10.55613/jeet.v36i1.218.",         "apa": "Umeokoli, M. (2026). 

"gb7714": "Michael Umeokoli. Review of Human-AI Interaction and Collaboration[J/OL]. Journal of Ethics and Emerging Technologies, 2026, 36(1): 1-3. DOI: 10.55613/jeet.v36i1.218.",         "apa": "Umeokoli, M. (2026). Review of Human-AI Inte

"apa": "Umeokoli, M. (2026). Review of Human-AI Interaction and Collaboration. Journal of Ethics and Emerging Technologies, 36(1), 1-3. https://doi.org/10.55613/jeet.v36i1.218",

"bibtex": "@article{papercashc191319e852072bb0ea1,\n  title = {Review of Human-AI Interaction and Collaboration},\n  author = {Michael Umeokoli},\n  year = {2026},\n  journal = {Journal of Ethics and Emerging Technologies},\n  doi = {10.556

"abstract": "The rapid development of language-based artificial intelligence has transformed the ways humans interact, communicate, and construct meaning, particularly within social, educational, and personal reflective contexts. This trans

"doi": "10.59890/ijir.v4i3.150",       "url": "https://doi.org/10.59890/ijir.v4i3.150",       "pdf_url": "",

"url": "https://doi.org/10.59890/ijir.v4i3.150",

"citations": {         "gb7714": "Muhammad Natsir, Nadya Anggita Lubis, Fanny Agnesya Siagian, 等. Cognitive Pragmatics in Human–AI Interaction[J/OL]. International Journal of Integrative Research, 2026, 4(3): 139-152. DOI: 10.59890/ijir.v4i

"gb7714": "Muhammad Natsir, Nadya Anggita Lubis, Fanny Agnesya Siagian, 等. Cognitive Pragmatics in Human–AI Interaction[J/OL]. International Journal of Integrative Research, 2026, 4(3): 139-152. DOI: 10.59890/ijir.v4i3.150.",         "apa":

"apa": "Natsir, M., Lubis, N. A., Siagian, F. A., Limbong, S. J., & Simbolon, Y. (2026). Cognitive Pragmatics in Human–AI Interaction. International Journal of Integrative Research, 4(3), 139-152. https://doi.org/10.59890/ijir.v4i3.150",

"bibtex": "@article{papercash2f7a3df4322c2810bde7,\n  title = {Cognitive Pragmatics in Human–AI Interaction},\n  author = {Muhammad Natsir and Nadya Anggita Lubis and Fanny Agnesya Siagian and Sry Juniar Limbong and Yoanne Simbolon},\n  yea

"abstract": "The escalating complexity of medical diagnosis, characterized by overlapping symptomatology and exponential growth in healthcare data, necessitates innovative solutions for accurate and timely disease identification. This paper

"doi": "10.36948/ijfmr.2026.v08i01.67449",       "url": "https://doi.org/10.36948/ijfmr.2026.v08i01.67449",       "pdf_url": "",

"url": "https://doi.org/10.36948/ijfmr.2026.v08i01.67449",

"citations": {         "gb7714": "Eshwar Thatikonda, Himateja Allibadha, Akhil Nallabai, 等. Medical Diagnosis Prediction using Machine Learning[J/OL]. International Journal For Multidisciplinary Research, 2026, 8(1). DOI: 10.36948/ijfmr.202

"gb7714": "Eshwar Thatikonda, Himateja Allibadha, Akhil Nallabai, 等. Medical Diagnosis Prediction using Machine Learning[J/OL]. International Journal For Multidisciplinary Research, 2026, 8(1). DOI: 10.36948/ijfmr.2026.v08i01.67449.",      

"apa": "Thatikonda, E., Allibadha, H., Nallabai, A., & Nennuri, R. (2026). Medical Diagnosis Prediction using Machine Learning. International Journal For Multidisciplinary Research, 8(1). https://doi.org/10.36948/ijfmr.2026.v08i01.67449",

"bibtex": "@article{papercash99166698358e36fd11ed,\n  title = {Medical Diagnosis Prediction using Machine Learning},\n  author = {Eshwar Thatikonda and Himateja Allibadha and Akhil Nallabai and Rajasekhar Nennuri},\n  year = {2026},\n  jour

"abstract": "The increasing integration of artificial intelligence into medical imaging has significantly advanced lung disease detection using chest X-rays and related modalities. This survey conducts a comprehensive comparative analysis o

"doi": "10.22214/ijraset.2026.76714",       "url": "https://doi.org/10.22214/ijraset.2026.76714",       "pdf_url": "",

"url": "https://doi.org/10.22214/ijraset.2026.76714",

"citations": {         "gb7714": "Mrs. Ashwini Bhavsar. A Comparative Review of Machine Learning and Deep Learning Models for Lung Disease Classification Across Medical Imaging Modalities[J/OL]. International Journal for Research in Applied

"gb7714": "Mrs. Ashwini Bhavsar. A Comparative Review of Machine Learning and Deep Learning Models for Lung Disease Classification Across Medical Imaging Modalities[J/OL]. International Journal for Research in Applied Science and Engineerin

"apa": "Bhavsar, M. A. (2026). A Comparative Review of Machine Learning and Deep Learning Models for Lung Disease Classification Across Medical Imaging Modalities. International Journal for Research in Applied Science and Engineering Techno

"bibtex": "@article{papercash0224c65a22572a5a4f95,\n  title = {A Comparative Review of Machine Learning and Deep Learning Models for Lung Disease Classification Across Medical Imaging Modalities},\n  author = {Mrs. Ashwini Bhavsar},\n  year

"abstract": "",       "doi": "10.25212/lfu.qzj.11.1.30",       "url": "https://doi.org/10.25212/lfu.qzj.11.1.30",

"doi": "10.25212/lfu.qzj.11.1.30",       "url": "https://doi.org/10.25212/lfu.qzj.11.1.30",       "pdf_url": "",

"url": "https://doi.org/10.25212/lfu.qzj.11.1.30",

"citations": {         "gb7714": "未知作者. Review of Medical Diagnostic Imaging Using Machine Learning[J/OL]. Qalaai Zanist Scientific Journal, 2026, 11(1). DOI: 10.25212/lfu.qzj.11.1.30.",         "apa": "Unknown (2026). Review of Medical Dia

"gb7714": "未知作者. Review of Medical Diagnostic Imaging Using Machine Learning[J/OL]. Qalaai Zanist Scientific Journal, 2026, 11(1). DOI: 10.25212/lfu.qzj.11.1.30.",         "apa": "Unknown (2026). Review of Medical Diagnostic Imaging Using M

"apa": "Unknown (2026). Review of Medical Diagnostic Imaging Using Machine Learning. Qalaai Zanist Scientific Journal, 11(1). https://doi.org/10.25212/lfu.qzj.11.1.30",

"bibtex": "@article{papercash1b84ee6ecad7dbef7848,\n  title = {Review of Medical Diagnostic Imaging Using Machine Learning},\n  author = {Unknown},\n  year = {2026},\n  journal = {Qalaai Zanist Scientific Journal},\n  doi = {10.25212/lfu.qz

"abstract": "",       "doi": "10.1109/mcg.2025.3639837",       "url": "https://doi.org/10.1109/mcg.2025.3639837",

"doi": "10.1109/mcg.2025.3639837",       "url": "https://doi.org/10.1109/mcg.2025.3639837",       "pdf_url": "",

"url": "https://doi.org/10.1109/mcg.2025.3639837",

"citations": {         "gb7714": "Wei Zeng, Hongbo Fu, Nanxuan Zhao, 等. Human–AI Interaction for Visual Media[J/OL]. IEEE Computer Graphics and Applications, 2026, 46(1): 10-12. DOI: 10.1109/mcg.2025.3639837.",         "apa": "Zeng, W., Fu,

"gb7714": "Wei Zeng, Hongbo Fu, Nanxuan Zhao, 等. Human–AI Interaction for Visual Media[J/OL]. IEEE Computer Graphics and Applications, 2026, 46(1): 10-12. DOI: 10.1109/mcg.2025.3639837.",         "apa": "Zeng, W., Fu, H., Zhao, N., & Chang,

"apa": "Zeng, W., Fu, H., Zhao, N., & Chang, R. (2026). Human–AI Interaction for Visual Media. IEEE Computer Graphics and Applications, 46(1), 10-12. https://doi.org/10.1109/mcg.2025.3639837",

"bibtex": "@article{papercasha9038bbaf47f0859fd96,\n  title = {Human–AI Interaction for Visual Media},\n  author = {Wei Zeng and Hongbo Fu and Nanxuan Zhao and Remco Chang},\n  year = {2026},\n  journal = {IEEE Computer Graphics and Applica

"abstract": "The article offers a comprehensive pragmatic analysis of human – artificial intelligence (AI) interaction in multilingual professional teams operating in digital and remote work environments. Drawing on Speech Act Theory (Austi

"doi": "10.17721/studling2026.28.68-82",       "url": "https://doi.org/10.17721/studling2026.28.68-82",       "pdf_url": "",

"url": "https://doi.org/10.17721/studling2026.28.68-82",

"citations": {         "gb7714": "Kateryna Matukh, Kateryna Liashenko, Larysa Liashenko, 等. HUMAN-AI INTERACTION IN MULTILINGUAL PROFESSIONAL[J/OL]. Studia Linguistica, 2026, (28): 68-82. DOI: 10.17721/studling2026.28.68-82.",         "apa"

"gb7714": "Kateryna Matukh, Kateryna Liashenko, Larysa Liashenko, 等. HUMAN-AI INTERACTION IN MULTILINGUAL PROFESSIONAL[J/OL]. Studia Linguistica, 2026, (28): 68-82. DOI: 10.17721/studling2026.28.68-82.",         "apa": "Matukh, K., Liashenk

"apa": "Matukh, K., Liashenko, K., Liashenko, L., & Budanova, L. (2026). HUMAN-AI INTERACTION IN MULTILINGUAL PROFESSIONAL. Studia Linguistica(28), 68-82. https://doi.org/10.17721/studling2026.28.68-82",

"bibtex": "@article{papercashe7ab07eb50550cf10777,\n  title = {HUMAN-AI INTERACTION IN MULTILINGUAL PROFESSIONAL},\n  author = {Kateryna Matukh and Kateryna Liashenko and Larysa Liashenko and Liana Budanova},\n  year = {2026},\n  journal = 

"abstract": "How should people and AI work together in ways that are useful, ethical, and trustworthy? Edited by Dan Wu and Shaobo Liang (Wuhan University), “Human–AI Interaction and Collaboration” maps the fast-moving terrain where users, 

"doi": "10.2139/ssrn.6250558",       "url": "https://doi.org/10.2139/ssrn.6250558",       "pdf_url": "",

"url": "https://doi.org/10.2139/ssrn.6250558",

"citations": {         "gb7714": "Dan Wu, Shaobo Liang. Exploring the Future of Human-AI Collaboration: Insights from \"Human-AI Interaction and Collaboration\"[J/OL]. SSRN Electronic Journal, 2026. DOI: 10.2139/ssrn.6250558.",         "apa

"gb7714": "Dan Wu, Shaobo Liang. Exploring the Future of Human-AI Collaboration: Insights from \"Human-AI Interaction and Collaboration\"[J/OL]. SSRN Electronic Journal, 2026. DOI: 10.2139/ssrn.6250558.",         "apa": "Wu, D. & Liang, S. 

"apa": "Wu, D. & Liang, S. (2026). Exploring the Future of Human-AI Collaboration: Insights from \"Human-AI Interaction and Collaboration\". SSRN Electronic Journal. https://doi.org/10.2139/ssrn.6250558",

"bibtex": "@article{papercashaeda85441ba554274763,\n  title = {Exploring the Future of Human-AI Collaboration: Insights from \"Human-AI Interaction and Collaboration\"},\n  author = {Dan Wu and Shaobo Liang},\n  year = {2026},\n  journal = 

"abstract": "",       "doi": "10.1016/j.procs.2026.02.048",       "url": "https://doi.org/10.1016/j.procs.2026.02.048",

"doi": "10.1016/j.procs.2026.02.048",       "url": "https://doi.org/10.1016/j.procs.2026.02.048",       "pdf_url": "",

"url": "https://doi.org/10.1016/j.procs.2026.02.048",

"citations": {         "gb7714": "Viktoria Leutheuser, Felix Schäfer, Julian M. Müller, 等. Building Trust in AI: A Qualitative Study of Human-AI Interaction[J/OL]. Procedia Computer Science, 2026, 277: 71-80. DOI: 10.1016/j.procs.2026.02.04

"gb7714": "Viktoria Leutheuser, Felix Schäfer, Julian M. Müller, 等. Building Trust in AI: A Qualitative Study of Human-AI Interaction[J/OL]. Procedia Computer Science, 2026, 277: 71-80. DOI: 10.1016/j.procs.2026.02.048.",         "apa": "Le

"apa": "Leutheuser, V., Schäfer, F., Müller, J. M., & Voigt, K. (2026). Building Trust in AI: A Qualitative Study of Human-AI Interaction. Procedia Computer Science, 277, 71-80. https://doi.org/10.1016/j.procs.2026.02.048",

"bibtex": "@article{papercash8b9972be5ad26d6122fe,\n  title = {Building Trust in AI: A Qualitative Study of Human-AI Interaction},\n  author = {Viktoria Leutheuser and Felix Schäfer and Julian M. Müller and Kai-Ingo Voigt},\n  year = {2026}

"abstract": "This study investigates Indonesian lecturers’ perceptions of Artificial Intelligence (AI) in translation education, focusing on how technology reshapes pedagogy, student engagement, and institutional practices. Employing a qual

"doi": "10.51629/cjls.v5i2.259",       "url": "https://doi.org/10.51629/cjls.v5i2.259",       "pdf_url": "",

"url": "https://doi.org/10.51629/cjls.v5i2.259",

"citations": {         "gb7714": "Suratman Dahlan, Syarifuddin Dollah, Sukardi Weda, 等. AI and Human Interaction in Translation Education[J/OL]. Celebes Journal of Language Studies, 2025: 221-236. DOI: 10.51629/cjls.v5i2.259.",         "apa

"gb7714": "Suratman Dahlan, Syarifuddin Dollah, Sukardi Weda, 等. AI and Human Interaction in Translation Education[J/OL]. Celebes Journal of Language Studies, 2025: 221-236. DOI: 10.51629/cjls.v5i2.259.",         "apa": "Dahlan, S., Dollah,

"apa": "Dahlan, S., Dollah, S., Weda, S., Sunra, L., & Sakkir, G. (2025). AI and Human Interaction in Translation Education. Celebes Journal of Language Studies, 221-236. https://doi.org/10.51629/cjls.v5i2.259",

"bibtex": "@article{papercash4c2a27b2dfbcf7cfd666,\n  title = {AI and Human Interaction in Translation Education},\n  author = {Suratman Dahlan and Syarifuddin Dollah and Sukardi Weda and La Sunra and Geminastiti Sakkir},\n  year = {2025},\

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"entry_point": "SKILL.md",   "author": "Jesse (@Jesseovo)",   "repository": "https://github.com/Jesseovo/PaperCash",

"author": "Jesse (@Jesseovo)",   "repository": "https://github.com/Jesseovo/PaperCash",   "license": "MIT",

"repository": "https://github.com/Jesseovo/PaperCash",

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CST = timezone(timedelta(hours=8)) NS = {'a': 'http://www.w3.org/2005/Atom', 'x': 'http://arxiv.org/schemas/atom'}

NS = {'a': 'http://www.w3.org/2005/Atom', 'x': 'http://arxiv.org/schemas/atom'}

def safe_url(value: str | None) -> str:     value = (value or '').replace('http://arxiv.org/', 'https://arxiv.org/')

value = (value or '').replace('http://arxiv.org/', 'https://arxiv.org/')

'abstract': entry.findtext('a:summary', '', NS),             'doi': entry.findtext('x:doi', '', NS), 'arxiv_id': arxiv_id,             'url': f'https://arxiv.org/abs/{arxiv_id}',

'doi': entry.findtext('x:doi', '', NS), 'arxiv_id': arxiv_id,             'url': f'https://arxiv.org/abs/{arxiv_id}',             'pdf_url': f'https://arxiv.org/pdf/{arxiv_id}',

'url': f'https://arxiv.org/abs/{arxiv_id}',

'pdf_url': f'https://arxiv.org/pdf/{arxiv_id}',

'title': titles[0], 'authors': authors,             'abstract': item.get('abstract', ''), 'doi': doi,             'url': f'https://doi.org/{quote(doi, safe="/():;._-")}', 'pdf_url': '',

'abstract': item.get('abstract', ''), 'doi': doi,             'url': f'https://doi.org/{quote(doi, safe="/():;._-")}', 'pdf_url': '',             'published': published, 'updated': '',

'url': f'https://doi.org/{quote(doi, safe="/():;._-")}', 'pdf_url': '',

feeds = []     previous_feeds = {f['id']: f for f in previous.get('feeds', [])}     headers = {'User-Agent': 'PaperCash/2.0 (+https://github.com/Jesseovo/PaperCash)'}

previous_feeds = {f['id']: f for f in previous.get('feeds', [])}     headers = {'User-Agent': 'PaperCash/2.0 (+https://github.com/Jesseovo/PaperCash)'}     arxiv_called = False

headers = {'User-Agent': 'PaperCash/2.0 (+https://github.com/Jesseovo/PaperCash)'}

pause(3.1)                 arxiv_called = True                 response = fetch('https://export.arxiv.org/api/query', params={

arxiv_called = True                 response = fetch('https://export.arxiv.org/api/query', params={                     'search_query': query, 'start': 0, 'max_results': limit,

response = fetch('https://export.arxiv.org/api/query', params={

batch = parse_arxiv(response.text, topic, feed_id)             else:                 response = fetch('https://api.crossref.org/works', params={

else:                 response = fetch('https://api.crossref.org/works', params={                     'query.title': query, 'rows': limit, 'sort': 'relevance',

response = fetch('https://api.crossref.org/works', params={

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[Credential-related source omitted]

[Credential-related source omitted]

def _probe_head(url: str) -> bool | str:     try:         r = requests.head(

try:         r = requests.head(             url,

r = requests.head(

)         if r.status_code == 405:             r = requests.get(

if r.status_code == 405:             r = requests.get(                 url,

r = requests.get(

endpoints = {         "semantic_scholar": (             "https://api.semanticscholar.org/graph/v1/paper/search?query=test&limit=1"

"semantic_scholar": (             "https://api.semanticscholar.org/graph/v1/paper/search?query=test&limit=1"         ),

"https://api.semanticscholar.org/graph/v1/paper/search?query=test&limit=1"

),         "arxiv": "https://export.arxiv.org/api/query?search_query=test&max_results=1",         "crossref": "https://api.crossref.org/works?query=test&rows=1",

"arxiv": "https://export.arxiv.org/api/query?search_query=test&max_results=1",

"crossref": "https://api.crossref.org/works?query=test&rows=1",

"pubmed": (             "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi"             "?db=pubmed&term=test&retmax=1"

"https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi"

"?db=pubmed&term=test&retmax=1"         ),         "baidu_xueshu": "https://xueshu.baidu.com/s?wd=test",

),         "baidu_xueshu": "https://xueshu.baidu.com/s?wd=test",     }

"baidu_xueshu": "https://xueshu.baidu.com/s?wd=test",

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parts.append(journal + ".")     if paper.doi:         parts.append(f" https://doi.org/{paper.doi}")

parts.append(f" https://doi.org/{paper.doi}")

parts.append(f" {paper.year}.")     if paper.doi:         parts.append(f" https://doi.org/{paper.doi}.")

parts.append(f" https://doi.org/{paper.doi}.")

parts.append(f" ({paper.year}).")     if paper.doi:         parts.append(f" https://doi.org/{paper.doi}.")

parts.append(f" https://doi.org/{paper.doi}.")

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#!/usr/bin/env python3

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def _get_session() -> requests.Session:     if not hasattr(_thread_state, "session"):         _thread_state.session = requests.Session()

if not hasattr(_thread_state, "session"):         _thread_state.session = requests.Session()         _thread_state.session.headers.update(DEFAULT_HEADERS)

_thread_state.session = requests.Session()

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#!/usr/bin/env python3

#!/usr/bin/env python3

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[Credential-related source omitted]

# 作者: Jesse (https://github.com/Jesseovo)

# Semantic Scholar API Key（可选，提高速率限制） # 获取: https://www.semanticscholar.org/product/api

# 获取: https://www.semanticscholar.org/product/api

[Credential-related source omitted]

# Google Scholar 代理（可选） # GOOGLE_SCHOLAR_PROXY=http://127.0.0.1:7890

# GOOGLE_SCHOLAR_PROXY=http://127.0.0.1:7890

#!/usr/bin/env python3

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BASE_URL = "http://export.arxiv.org/api/query"

NS = {     "atom": "http://www.w3.org/2005/Atom",

"atom": "http://www.w3.org/2005/Atom",

"arxiv": "http://arxiv.org/schemas/atom",

url = f"https://arxiv.org/abs/{arxiv_id}" if arxiv_id else ""

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BASE_URL = "https://xueshu.baidu.com/s"

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SEARCH_URL = "https://kns.cnki.net/kns8s/brief/grid"

"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",     "Accept-Language": "zh-CN,zh;q=0.9",     "Referer": "https://kns.cnki.net/",

"Accept-Language": "zh-CN,zh;q=0.9",     "Referer": "https://kns.cnki.net/", }

"Referer": "https://kns.cnki.net/",

url = title_el.get("href", "")         if url and not url.startswith("http"):             url = "https://kns.cnki.net" + url

url = "https://kns.cnki.net" + url

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BASE_URL = "https://api.crossref.org/works"

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BASE_URL = "https://scholar.google.com/scholar"

import requests     try:         session = requests.Session()

try:         session = requests.Session()         session.headers.update(_HEADERS)

session = requests.Session()

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ESEARCH_URL = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi"

ESUMMARY_URL = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi"

year=year,             doi=doi if doi else None,             url=f"https://pubmed.ncbi.nlm.nih.gov/{pmid}/",

doi=doi if doi else None,             url=f"https://pubmed.ncbi.nlm.nih.gov/{pmid}/",             source="PubMed",

url=f"https://pubmed.ncbi.nlm.nih.gov/{pmid}/",

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BASE_URL = "https://api.semanticscholar.org/graph/v1"

[Credential-related source omitted]

[Credential-related source omitted]

[Credential-related source omitted]

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SEARCH_URL = "https://s.wanfangdata.com.cn/paper"

"Accept": "application/json, text/plain, */*",     "Accept-Language": "zh-CN,zh;q=0.9",     "Referer": "https://www.wanfangdata.com.cn/",

"Accept-Language": "zh-CN,zh;q=0.9",     "Referer": "https://www.wanfangdata.com.cn/", }

"Referer": "https://www.wanfangdata.com.cn/",

url = title_el.get("href", "")         if url and not url.startswith("http"):             url = "https://www.wanfangdata.com.cn" + url

url = "https://www.wanfangdata.com.cn" + url

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#!/usr/bin/env python3

#!/usr/bin/env python3

#!/usr/bin/env python3

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ATOM = '''<feed xmlns="http://www.w3.org/2005/Atom">

<entry><id>http://arxiv.org/abs/2610.12345v2</id>

paper = discovery.parse_arxiv(ATOM, 'agents', 'arxiv-agents')[0]     assert paper['arxiv_id'] == '2610.12345'     assert paper['url'] == 'https://arxiv.org/abs/2610.12345'

assert paper['arxiv_id'] == '2610.12345'     assert paper['url'] == 'https://arxiv.org/abs/2610.12345'     assert paper['published'] == '2026-10-19'

assert paper['url'] == 'https://arxiv.org/abs/2610.12345'

item['URL'] = 'javascript:alert(1)'     paper = parse_crossref(item)     assert paper['url'] == 'https://doi.org/10.1234/example'

paper = parse_crossref(item)     assert paper['url'] == 'https://doi.org/10.1234/example'     assert paper['abstract'] == 'A & B.'

assert paper['url'] == 'https://doi.org/10.1234/example'

assert '*Journal of Testing' not in paper['citations']['apa']     assert discovery.safe_url('javascript:alert(1)') == ''     assert discovery.safe_url('https://user:password@example.org') == ''

assert discovery.safe_url('https://user:password@example.org') == ''

previous = {'papers': [paper], 'feeds': [{'id': 'arxiv-agents', 'updated_at': old_stamp}]}     def unavailable(*args, **kwargs):         raise requests.Timeout()

def unavailable(*args, **kwargs):         raise requests.Timeout()     snapshot = discovery.build_snapshot(previous, fetch=unavailable,

raise requests.Timeout()

def test_failure_without_snapshot_is_not_reported_as_success():     def unavailable(*args, **kwargs):         raise requests.ConnectionError()

def unavailable(*args, **kwargs):         raise requests.ConnectionError()     with pytest.raises(RuntimeError, match='All paper sources failed'):

raise requests.ConnectionError()