{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T17:07:06Z","timestamp":1772644026539,"version":"3.50.1"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T00:00:00Z","timestamp":1765411200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T00:00:00Z","timestamp":1765411200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1007\/s00371-025-04203-1","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T18:11:24Z","timestamp":1765476684000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["CLIP-Hand: CLIP-based regressor for hand pose estimation and mesh recovery"],"prefix":"10.1007","volume":"42","author":[{"given":"Feng","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuang","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ju","family":"Dai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junjun","family":"Pan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-kun","family":"Lai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul L.","family":"Rosin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,12,11]]},"reference":[{"key":"4203_CR1","doi-asserted-by":"crossref","unstructured":"Rehg, J.M., Kanade, T.: DigitEyes: Vision-based hand tracking for human-computer interaction. In: IEEE Workshop on MNAO, pp. 16\u201322 (1994)","DOI":"10.1109\/MNRAO.1994.346260"},{"key":"4203_CR2","doi-asserted-by":"crossref","unstructured":"Farjadi, S.A., Akbarzadeh-T, M.-R., Ghiasi-Shirazi, K.: RGB image-based hand pose estimation: a survey on deep learning perspective. In: International Symposium on Artificial Intelligence and Signal Processing, pp. 1\u20137 (2024)","DOI":"10.1109\/AISP61396.2024.10475217"},{"key":"4203_CR3","doi-asserted-by":"crossref","unstructured":"Kolotouros, N., Pavlakos, G., Daniilidis, K.: Convolutional mesh regression for single-image human shape reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4501\u20134510 (2019)","DOI":"10.1109\/CVPR.2019.00463"},{"key":"4203_CR4","doi-asserted-by":"crossref","unstructured":"Han, S., Liu, B., Cabezas, R., Twigg, C.D., Zhang, P., Petkau, J., Yu, T.-H., Tai, C.-J., Akbay, M., Wang, Z., et al.: MEgATrack: monochrome egocentric articulated hand-tracking for virtual reality. ACM Trans. Gr. 87\u20131 (2020)","DOI":"10.1145\/3386569.3392452"},{"key":"4203_CR5","doi-asserted-by":"crossref","unstructured":"Liebers, J., Brockel, S., Gruenefeld, U., Schneegass, S.: Identifying users by their hand tracking data in augmented and virtual reality. Int. J. Human Comput. Interact. 409\u2013424 (2024)","DOI":"10.1080\/10447318.2022.2120845"},{"key":"4203_CR6","doi-asserted-by":"crossref","unstructured":"Gupta, S., Bagga, S., Sharma, D.K.: Hand gesture recognition for human computer interaction and its applications in virtual reality. Adv. Comput. Intell. Tech. Virtual Real. Healthc. 85\u2013105 (2020)","DOI":"10.1007\/978-3-030-35252-3_5"},{"key":"4203_CR7","doi-asserted-by":"crossref","unstructured":"Zenner, A., Kr\u00fcger, A.: Estimating detection thresholds for desktop-scale hand redirection in virtual reality. In: IEEE VR, pp. 47\u201355 (2019)","DOI":"10.1109\/VR.2019.8798143"},{"key":"4203_CR8","doi-asserted-by":"crossref","unstructured":"Hassan, E.K., Jamila Harbi, S.: 3d hand pose and shape estimation from single RGB image for augmented reality. Journal of Intelligent Systems and Internet of Things, 90\u2013101 (2023)","DOI":"10.54216\/JISIoT.100208"},{"key":"4203_CR9","doi-asserted-by":"crossref","unstructured":"Hassan, E.K., Jamila Harbi, S.: 3d hand pose and shape estimation from single rgb image for augmented reality. Journal of Intelligent Systems and Internet of Things, 90\u2013101 (2023)","DOI":"10.54216\/JISIoT.100208"},{"key":"4203_CR10","doi-asserted-by":"crossref","unstructured":"Handa, A., Van\u00a0Wyk, K., Yang, W., Liang, J., Chao, Y.-W., Wan, Q., Birchfield, S., Ratliff, N., Fox, D.: DexPilot: Vision-based teleoperation of dexterous robotic hand-arm system. In: International Conference on Robotics and Automation, pp. 9164\u20139170 (2020)","DOI":"10.1109\/ICRA40945.2020.9197124"},{"key":"4203_CR11","doi-asserted-by":"crossref","unstructured":"Rho, E., Lee, H., Lee, Y., Lee, K.-D., Mun, J., Kim, M., Kim, D., Park, H.-S., Jo, S.: Multiple hand posture rehabilitation system using vision-based intention detection and soft-robotic glove. IEEE Transactions on Industrial Informatics, 6499\u20136509 (2024)","DOI":"10.1109\/TII.2023.3348826"},{"key":"4203_CR12","doi-asserted-by":"crossref","unstructured":"Gomez-Donoso, F., Orts-Escolano, S., Cazorla, M.: Accurate and efficient 3d hand pose regression for robot hand teleoperation using a monocular RGB camera. Expert Systems with Applications, 327\u2013337 (2019)","DOI":"10.1016\/j.eswa.2019.06.055"},{"key":"4203_CR13","doi-asserted-by":"crossref","unstructured":"Zimmermann, C., Brox, T.: Learning to estimate 3d hand pose from single RGB images. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4903\u20134911 (2017)","DOI":"10.1109\/ICCV.2017.525"},{"key":"4203_CR14","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, e. Alexander: An image is worth $$16 \\times 16$$ words: Transformers for image recognition at scale. In: International Conference on Learning Representations (2020)"},{"key":"4203_CR15","doi-asserted-by":"crossref","unstructured":"Lin, K., Wang, L., Liu, Z.: End-to-end human pose and mesh reconstruction with transformers. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1954\u20131963 (2021)","DOI":"10.1109\/CVPR46437.2021.00199"},{"key":"4203_CR16","doi-asserted-by":"crossref","unstructured":"Cho, J., Youwang, K., Oh, T.-H.: Cross-attention of disentangled modalities for 3d human mesh recovery with transformers. In: Proceedings of the European Conference on Computer Vision, pp. 342\u2013359 (2022)","DOI":"10.1007\/978-3-031-19769-7_20"},{"key":"4203_CR17","unstructured":"Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.: Learning transferable visual models from natural language supervision. In: International Conference on Machine Learning, pp. 8748\u20138763 (2021)"},{"key":"4203_CR18","doi-asserted-by":"crossref","unstructured":"Yuan, S., Garcia-Hernando, G., Stenger, B., Moon, G., Chang, J.Y., Lee, K.M., Molchanov, P., Kautz, J., Honari, S., Ge, L., et al.: Depth-based 3d hand pose estimation: From current achievements to future goals. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2636\u20132645 (2018)","DOI":"10.1109\/CVPR.2018.00279"},{"key":"4203_CR19","doi-asserted-by":"crossref","unstructured":"Ren, P., Sun, H., Hao, J., Wang, J., Qi, Q., Liao, J.: Mining multi-view information: a strong self-supervised framework for depth-based 3d hand pose and mesh estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20555\u201320565 (2022)","DOI":"10.1109\/CVPR52688.2022.01990"},{"key":"4203_CR20","doi-asserted-by":"crossref","unstructured":"Sheng, B., Li, P., Ali, R., Chen, C.P.: Improving video temporal consistency via broad learning system. IEEE Trans. Cybern. 6662\u20136675 (2021)","DOI":"10.1109\/TCYB.2021.3079311"},{"key":"4203_CR21","doi-asserted-by":"crossref","unstructured":"Ali, S.G., Wang, X., Li, P., Li, H., Yang, P., Jung, Y., Qin, J., Kim, J., Sheng, B.: Egdnet: an efficient glomerular detection network for multiple anomalous pathological feature in glomerulonephritis. The Visual Computer, 1\u201318 (2024)","DOI":"10.1007\/s00371-024-03570-5"},{"key":"4203_CR22","doi-asserted-by":"crossref","unstructured":"Moon, G., Chang, J.Y., Lee, K.M.: V2v-posenet: Voxel-to-voxel prediction network for accurate 3d hand and human pose estimation from a single depth map. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5079\u20135088 (2018)","DOI":"10.1109\/CVPR.2018.00533"},{"key":"4203_CR23","doi-asserted-by":"crossref","unstructured":"Cheng, J., Wan, Y., Zuo, D., Ma, C., Gu, J., Tan, P., Wang, H., Deng, X., Zhang, Y.: Efficient virtual view selection for 3d hand pose estimation. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 419\u2013426 (2022)","DOI":"10.1609\/aaai.v36i1.19919"},{"key":"4203_CR24","doi-asserted-by":"crossref","unstructured":"Iqbal, U., Molchanov, P., Gall, T.B.J., Kautz, J.: Hand pose estimation via latent 2.5 d heatmap regression. In: Proceedings of the European Conference on Computer Vision, pp. 118\u2013134 (2018)","DOI":"10.1007\/978-3-030-01252-6_8"},{"key":"4203_CR25","doi-asserted-by":"crossref","unstructured":"Ge, L., Ren, Z., Li, Y., Xue, Z., Wang, Y., Cai, J., Yuan, J.: 3d hand shape and pose estimation from a single rgb image. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10833\u201310842 (2019)","DOI":"10.1109\/CVPR.2019.01109"},{"key":"4203_CR26","doi-asserted-by":"crossref","unstructured":"Guo, S., Rigall, E., Qi, L., Dong, X., Li, H., Dong, J.: Graph-based cnns with self-supervised module for 3d hand pose estimation from monocular RGB. IEEE Transactions on Circuits and Systems for Video Technology, 1514\u20131525 (2020)","DOI":"10.1109\/TCSVT.2020.3004453"},{"key":"4203_CR27","doi-asserted-by":"crossref","unstructured":"Cho, J., Youwang, K., Oh, T.-H.: Cross-attention of disentangled modalities for 3d human mesh recovery with transformers. In: Proceedings of the European Conference on Computer Vision, pp. 342\u2013359 (2022)","DOI":"10.1007\/978-3-031-19769-7_20"},{"key":"4203_CR28","doi-asserted-by":"crossref","unstructured":"Kim, J., Gwon, M.-G., Park, H., Kwon, H., Um, G.-M., Kim, W.: Sampling is matter: Point-guided 3d human mesh reconstruction. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12880\u201312889 (2023)","DOI":"10.1109\/CVPR52729.2023.01238"},{"key":"4203_CR29","doi-asserted-by":"crossref","unstructured":"Jiang, C., Xiao, Y., Wu, C., Zhang, M., Zheng, J., Cao, Z., Zhou, J.T.: A2j-transformer: Anchor-to-joint transformer network for 3d interacting hand pose estimation from a single RGB image. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8846\u20138855 (2023)","DOI":"10.1109\/CVPR52729.2023.00854"},{"key":"4203_CR30","doi-asserted-by":"crossref","unstructured":"Cheng, W., Tang, H., Van\u00a0Gool, L., Ko, J.H.: Handdiff: 3d hand pose estimation with diffusion on image-point cloud. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2274\u20132284 (2024)","DOI":"10.1109\/CVPR52733.2024.00221"},{"key":"4203_CR31","doi-asserted-by":"crossref","unstructured":"Liu, R., Ohkawa, T., Zhang, M., Sato, Y.: Single-to-dual-view adaptation for egocentric 3d hand pose estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 677\u2013686 (2024)","DOI":"10.1109\/CVPR52733.2024.00071"},{"key":"4203_CR32","doi-asserted-by":"crossref","unstructured":"Zhou, F., Shen, P., Dai, J., Jiang, N., Hu, Y., Lai, Y.-K., Rosin, P.L.: Ahrnet: Attention and heatmap-based regressor for hand pose estimation and mesh recovery. In: IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3000\u20133004 (2024)","DOI":"10.1109\/ICASSP48485.2024.10446600"},{"key":"4203_CR33","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Yang, L., Sun, P., Hui, P., Yao, A.: Analyzing the synthetic-to-real domain gap in 3d hand pose estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12255\u201312265 (2025)","DOI":"10.1109\/CVPR52734.2025.01144"},{"key":"4203_CR34","doi-asserted-by":"crossref","unstructured":"Wang, Y., Xu, H., Heng, P.-A., Fu, C.-W.: Unihope: A unified approach for hand-only and hand-object pose estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12231\u201312241 (2025)","DOI":"10.1109\/CVPR52734.2025.01142"},{"key":"4203_CR35","doi-asserted-by":"crossref","unstructured":"Potamias, R.A., Zhang, J., Deng, J., Zafeiriou, S.: Wilor: End-to-end 3d hand localization and reconstruction in-the-wild. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12242\u201312254 (2025)","DOI":"10.1109\/CVPR52734.2025.01143"},{"key":"4203_CR36","doi-asserted-by":"crossref","unstructured":"Lee, S., Park, H., Kim, D.U., Kim, J., Boboev, M., Baek, S.: Image-free domain generalization via clip for 3d hand pose estimation. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 2934\u20132944 (2023)","DOI":"10.1109\/WACV56688.2023.00295"},{"key":"4203_CR37","doi-asserted-by":"crossref","unstructured":"Guo, S., Cai, Q., Qi, L., Dong, J.: Clip-hand3d: Exploiting 3d hand pose estimation via context-aware prompting. In: Proceedings of the ACM International Conference on Multimedia, pp. 4896\u20134907 (2023)","DOI":"10.1145\/3581783.3612390"},{"key":"4203_CR38","doi-asserted-by":"crossref","unstructured":"Zhang, X., Wang, W., Chen, Z., Xu, Y., Zhang, J., Tao, D.: Clamp: Prompt-based contrastive learning for connecting language and animal pose. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 23272\u201323281 (2023)","DOI":"10.1109\/CVPR52729.2023.02229"},{"key":"4203_CR39","doi-asserted-by":"crossref","unstructured":"Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., Guo, B.: Swin transformer: Hierarchical vision transformer using shifted windows. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 10012\u201310022 (2021)","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"4203_CR40","doi-asserted-by":"crossref","unstructured":"Zheng, C., Liu, X., Qi, G.-J., Chen, C.: POTTER: Pooling attention transformer for efficient human mesh recovery. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1611\u20131620 (2023)","DOI":"10.1109\/CVPR52729.2023.00161"},{"key":"4203_CR41","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"4203_CR42","doi-asserted-by":"crossref","unstructured":"Spurr, A., Dahiya, A., Wang, X., Zhang, X., Hilliges, O.: Self-supervised 3d hand pose estimation from monocular RGB via contrastive learning. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 11230\u201311239 (2021)","DOI":"10.1109\/ICCV48922.2021.01104"},{"key":"4203_CR43","unstructured":"Kapitanov, A., Kvanchiani, K., Nagaev, A., Kraynov, R., Makhliarchuk, A.: Hagrid \u2013 hand gesture recognition image dataset. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp. 4572\u20134581 (2024)"},{"key":"4203_CR44","unstructured":"Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: International Conference on Machine Learning, pp. 1597\u20131607 (2020)"},{"key":"4203_CR45","doi-asserted-by":"crossref","unstructured":"Zimmermann, C., Ceylan, D., Yang, J., Russell, B., Argus, M., Brox, T.: Freihand: A dataset for markerless capture of hand pose and shape from single rgb images. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 813\u2013822 (2019)","DOI":"10.1109\/ICCV.2019.00090"},{"key":"4203_CR46","doi-asserted-by":"crossref","unstructured":"Sridhar, S., Mueller, F., Zollh\u00f6fer, M., Casas, D., Oulasvirta, A., Theobalt, C.: Real-time joint tracking of a hand manipulating an object from RGB-d input. In: Proceedings of the European Conference on Computer Vision, pp. 294\u2013310 (2016)","DOI":"10.1007\/978-3-319-46475-6_19"},{"key":"4203_CR47","unstructured":"Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. In: International Conference on Learning Representations (2018)"},{"key":"4203_CR48","doi-asserted-by":"crossref","unstructured":"Hasson, Y., Varol, G., Tzionas, D., Kalevatykh, I., Black, M.J., Laptev, I., Schmid, C.: Learning joint reconstruction of hands and manipulated objects. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11807\u201311816 (2019)","DOI":"10.1109\/CVPR.2019.01208"},{"key":"4203_CR49","doi-asserted-by":"crossref","unstructured":"Choi, H., Moon, G., Lee, K.M.: Pose2mesh: Graph convolutional network for 3d human pose and mesh recovery from a 2d human pose. In: Proceedings of the European Conference on Computer Vision, pp. 769\u2013787 (2020)","DOI":"10.1007\/978-3-030-58571-6_45"},{"key":"4203_CR50","doi-asserted-by":"crossref","unstructured":"Moon, G., Lee, K.M.: I2l-meshnet: Image-to-lixel prediction network for accurate 3d human pose and mesh estimation from a single RGB image. In: Proceedings of the European Conference on Computer Vision, pp. 752\u2013768 (2020)","DOI":"10.1007\/978-3-030-58571-6_44"},{"key":"4203_CR51","unstructured":"Vasu, P.K.A., Gabriel, J., Zhu, J., Tuzel, O., Ranjan, A.: Fastvit: A fast hybrid vision transformer using structural reparameterization. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5785\u20135795 (2023)"},{"key":"4203_CR52","doi-asserted-by":"crossref","unstructured":"Baek, S., Kim, K.I., Kim, T.-K.: Pushing the envelope for RGB-based dense 3d hand pose estimation via neural rendering. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1067\u20131076 (2019)","DOI":"10.1109\/CVPR.2019.00116"},{"key":"4203_CR53","doi-asserted-by":"crossref","unstructured":"Zhang, X., Li, Q., Mo, H., Zhang, W., Zheng, W.: End-to-end hand mesh recovery from a monocular RGB image. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 2354\u20132364 (2019)","DOI":"10.1109\/ICCV.2019.00244"},{"key":"4203_CR54","doi-asserted-by":"crossref","unstructured":"Rong, Y., Shiratori, T., Joo, H.: FrankMocap: A monocular 3d whole-body pose estimation system via regression and integration. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1749\u20131759 (2021)","DOI":"10.1109\/ICCVW54120.2021.00201"},{"key":"4203_CR55","doi-asserted-by":"crossref","unstructured":"Cui, Y., Li, M., Gao, Y., Gao, C., Wu, F., Wen, H., Li, J., Sang, N.: Camera distance helps 3d hand pose estimated from a single RGB image. Gr. Models, 101179 (2023)","DOI":"10.1016\/j.gmod.2023.101179"},{"key":"4203_CR56","doi-asserted-by":"crossref","unstructured":"Gu, K., Yang, L., Mi, M.B., Yao, A.: Bias-compensated integral regression for human pose estimation. IEEE Trans. Pattern Anal. Mach. Intell. 10687\u201310702 (2023)","DOI":"10.1109\/TPAMI.2023.3264742"},{"key":"4203_CR57","doi-asserted-by":"crossref","unstructured":"Hao, Y., Wang, S., Kan, Z.: 2d hand pose estimation from a single rgb image through flow model. In: International Conference on Advanced Robotics and Mechatronics, pp. 675\u2013680 (2024)","DOI":"10.1109\/ICARM62033.2024.10715993"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-04203-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-025-04203-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-025-04203-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T13:03:41Z","timestamp":1772629421000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-025-04203-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,11]]},"references-count":57,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["4203"],"URL":"https:\/\/doi.org\/10.1007\/s00371-025-04203-1","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,11]]},"assertion":[{"value":"19 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 November 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 December 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"43"}}