{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T21:00:04Z","timestamp":1777496404038,"version":"3.51.4"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Natural Science Basic Research Program of Shaanxi","award":["No.2025JC-YBMS-740"],"award-info":[{"award-number":["No.2025JC-YBMS-740"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1007\/s00371-026-04407-z","type":"journal-article","created":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T08:41:54Z","timestamp":1774082514000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Enhanced remote sensing change detection via VMamba and spatial-reducing cross-attention"],"prefix":"10.1007","volume":"42","author":[{"given":"Weidong","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengtian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaosheng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Delin","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihao","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tuo","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,3,21]]},"reference":[{"key":"4407_CR1","doi-asserted-by":"crossref","unstructured":"Bandara, W.G.C., Patel, V.M.: A Transformer-based siamese network for change detection. In IGARSS 2022\u20132022 IEEE International Geoscience and Remote Sensing Symposium, 207\u2013210, (2022)","DOI":"10.1109\/IGARSS46834.2022.9883686"},{"issue":"3","key":"4407_CR2","doi-asserted-by":"publisher","first-page":"1171","DOI":"10.1109\/36.843009","volume":"38","author":"L Bruzzone","year":"2000","unstructured":"Bruzzone, L., Prieto, D.F.: Automatic analysis of the difference image for unsupervised change detection. IEEE Trans. Geosci. Remote Sens. 38(3), 1171\u20131182 (2000)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"4","key":"4407_CR3","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1109\/LGRS.2009.2025059","volume":"6","author":"T Celik","year":"2009","unstructured":"Celik, T.: Unsupervised change detection in satellite images using principal component analysis and k-means clustering. IEEE Geosci. Remote Sens. Lett. 6(4), 772\u2013776 (2009)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"4407_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2020.3034752","volume":"60","author":"H Chen","year":"2021","unstructured":"Chen, H., Qi, Z., Shi, Z.: Remote sensing image change detection with Transformers. IEEE Trans. Geosci. Remote Sens. 60, 1\u201314 (2021)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"10","key":"4407_CR5","doi-asserted-by":"publisher","first-page":"1662","DOI":"10.3390\/rs12101662","volume":"12","author":"H Chen","year":"2020","unstructured":"Chen, H., Shi, Z.: A spatial-temporal attention-based method and a new dataset for remote sensing image change detection. Remote Sens. 12(10), 1662 (2020)","journal-title":"Remote Sens."},{"key":"4407_CR6","doi-asserted-by":"crossref","unstructured":"Chen, H., Shi, Z.: A spatial-temporal attention-based method and a new dataset for remote sensing image change detection. Remote Sensing 12 (1662), (2020b)","DOI":"10.3390\/rs12101662"},{"key":"4407_CR7","first-page":"1","volume":"62","author":"H Chen","year":"2024","unstructured":"Chen, H., Song, J., Han, C., Xia, J., Yokoya, N.: ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model. IEEE Trans. Geosci. Remote Sens. 62, 1\u201320 (2024)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4407_CR8","doi-asserted-by":"publisher","first-page":"1194","DOI":"10.1109\/JSTARS.2020.3037893","volume":"14","author":"J Chen","year":"2020","unstructured":"Chen, J., Yuan, Z., Peng, J., et al.: DASNet: Dual attentive fully convolutional Siamese networks for change detection in high-resolution satellite images. IEEE J. Select. Topic. Appl. Earth. Observat. Remote Sens. 14, 1194\u20131206 (2020)","journal-title":"IEEE J. Select. Topic. Appl. Earth. Observat. Remote Sens."},{"key":"4407_CR9","doi-asserted-by":"crossref","unstructured":"Coppin, P., Lambin, E., Jonckheere, I., Muys, B.: Digital change detection methods in natural ecosystem monitoring: A review. Analysis of multi-temporal remote sensing images 3\u201336 (2002)","DOI":"10.1142\/9789812777249_0001"},{"key":"4407_CR10","doi-asserted-by":"crossref","unstructured":"Daudt, R.C., Le Saux, B., Boulch, A.: Fully convolutional Siamese networks for change detection. In Proc. 25th IEEE Int. Conf. Image Process., 4063\u20134067, (2018)","DOI":"10.1109\/ICIP.2018.8451652"},{"key":"4407_CR11","first-page":"1","volume":"19","author":"S Fang","year":"2021","unstructured":"Fang, S., Li, K., Shao, J., et al.: SNUNet-CD: A densely connected Siamese network for change detection of VHR images. IEEE Geosci. Remote Sens. Lett. 19, 1\u20135 (2021)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"4407_CR12","unstructured":"Gu, A., Dao, T.: Mamba: Linear-time sequence modeling with selective state spaces. arXiv preprint arXiv:2312.00752 (2023)"},{"key":"4407_CR13","unstructured":"Gu, A., Goel, K., R\u00e9, C.: Efficiently modeling long sequences with structured state spaces. arXiv preprint arXiv:2111.00396 (2021)"},{"key":"4407_CR14","first-page":"1","volume":"60","author":"Q Guo","year":"2021","unstructured":"Guo, Q., Zhang, J., Zhu, S., et al.: Deep multiscale Siamese network with parallel convolutional structure and self-attention for change detection. IEEE Trans. Geosci. Remote Sens. 60, 1\u201312 (2021)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4407_CR15","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In Proceedings of the IEEE conference on computer vision and pattern recognition, 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"4407_CR16","doi-asserted-by":"crossref","unstructured":"Huang, T., Pei, X., You, S., et al.: Localmamba: Visual state space model with windowed selective scan. arXiv preprint arXiv:2403.09338 (2024)","DOI":"10.1007\/978-3-031-91979-4_2"},{"issue":"5","key":"4407_CR17","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/0034-4257(83)90010-X","volume":"13","author":"RD Jackson","year":"1983","unstructured":"Jackson, R.D.: Spectral indices in n-space. Remote Sens. Environ. 13(5), 409\u2013421 (1983)","journal-title":"Remote Sens. Environ."},{"key":"4407_CR18","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1109\/TGRS.2018.2858817","volume":"57","author":"S Ji","year":"2019","unstructured":"Ji, S., Wei, S., Lu, M.: Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set. IEEE Trans. Geosci. Remote Sens. 57, 574\u2013586 (2019)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4407_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2021.3130842","volume":"60","author":"L Kondmann","year":"2021","unstructured":"Kondmann, L., Toker, A., Saha, S., Sch\u00f6lkopf, B., Leal-Taix\u00e9, L., Zhu, X.X.: Spatial context awareness for unsupervised change detection in optical satellite images. IEEE Trans. Geosci. Remote Sens. 60, 1\u201315 (2021)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4407_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2016\/3536183","volume":"2016","author":"Q Liu","year":"2016","unstructured":"Liu, Q., Wan, S., Bin, G.: A review of the detection methods for climate regime shifts. Discret. Dyn. Nat. Soc. 2016, 1\u201310 (2016)","journal-title":"Discret. Dyn. Nat. Soc."},{"key":"4407_CR21","unstructured":"Liu, Y., Tian, Y., Zhao, Y., et al.: Vmamba: Visual state space model. arXiv preprint arXiv:2401.10166 (2024)"},{"key":"4407_CR22","doi-asserted-by":"crossref","unstructured":"Liu, Z., Lin, Y., Cao, Y., et al.: Swin Transformer: Hierarchical vision Transformer using shifted windows. In Proceedings of the IEEE\/CVF international conference on computer vision, 10012\u201310022 (2021)","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"4407_CR23","doi-asserted-by":"crossref","unstructured":"Lv, P., Li, M., Zhong, Y.: A Semi-Supervised Pyramid Cross-Temporal Attention Transformer for Change Detection in High-Resolution Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters (2024)","DOI":"10.1109\/LGRS.2024.3404645"},{"issue":"2","key":"4407_CR24","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1080\/02723646.2022.2026075","volume":"44","author":"A Mazumder","year":"2023","unstructured":"Mazumder, A., Haque, M.A., Shishir, S., Iqbal, M.: Change detection of jamuna river and its impact on the local settlements. Phys. Geogr. 44(2), 186\u2013206 (2023)","journal-title":"Phys. Geogr."},{"key":"4407_CR25","doi-asserted-by":"crossref","unstructured":"Mou, L., Zhu, X.X.: A recurrent convolutional neural network for land cover change detection in multispectral images. In Proc. IEEE Int. Geosci. Remote Sens. Symp. (IGARSS), 4363\u20134366 (2018)","DOI":"10.1109\/IGARSS.2018.8517375"},{"key":"4407_CR26","first-page":"1","volume":"60","author":"Q Shi","year":"2021","unstructured":"Shi, Q., Liu, M., Li, S., et al.: A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection. IEEE Trans. Geosci. Remote Sens. 60, 1\u201316 (2021)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4407_CR27","first-page":"254","volume":"44","author":"A Singh","year":"1986","unstructured":"Singh, A.: Change detection in the tropical forest environment of northeastern india using landsat. Remote sens. Tropic. Managem 44, 254\u2013273 (1986)","journal-title":"Remote sens. Tropic. Managem"},{"key":"4407_CR28","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/JSTARS.2022.3224081","volume":"16","author":"L Song","year":"2023","unstructured":"Song, L., Xia, M., Weng, L., Lin, H., Qian, M., Chen, B.: Axial Cross Attention Meets CNN: Bibranch fusion network for change detection. IEEE J. Select. Topic. Appl. Earth. Observat. Remote Sens. 16, 21\u201332 (2023)","journal-title":"IEEE J. Select. Topic. Appl. Earth. Observat. Remote Sens."},{"issue":"5","key":"4407_CR29","first-page":"529","volume":"5","author":"WJ Todd","year":"1977","unstructured":"Todd, W.J.: Urban and regional land use change detected by using landsat data. J. Res. U.S. Geol. Surv. 5(5), 529\u2013534 (1977)","journal-title":"J. Res. U.S. Geol. Surv."},{"key":"4407_CR30","first-page":"5998","volume":"30","author":"A Vaswani","year":"2017","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., et al.: Attention is all you need. Adv. Neural. Inf. Process. Syst. 30, 5998\u20136008 (2017)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"issue":"9","key":"4407_CR31","doi-asserted-by":"publisher","first-page":"2228","DOI":"10.3390\/rs14092228","volume":"14","author":"G Wang","year":"2022","unstructured":"Wang, G., Li, B., Zhang, T., et al.: A network combining a Transformer and a convolutional neural network for remote sensing image change detection. Remote Sens. 14(9), 2228 (2022)","journal-title":"Remote Sens."},{"issue":"21","key":"4407_CR32","doi-asserted-by":"publisher","first-page":"4068","DOI":"10.3390\/rs16214068","volume":"16","author":"H Wang","year":"2024","unstructured":"Wang, H., Ye, Z., Xu, C., et al.: TTMGNet: Tree topology mamba-guided network collaborative hierarchical incremental aggregation for change detection. Remote Sens. 16(21), 4068 (2024)","journal-title":"Remote Sens."},{"key":"4407_CR33","doi-asserted-by":"crossref","unstructured":"Wang, W., Xie, E., Li, X., et al.: mid vision transformer: A versatile backbone for dense prediction without convolutions. In Proceedings of the IEEE\/CVF international conference on computer vision, 568\u2013578 (2021)","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"4407_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.landurbplan.2020.103921","volume":"204","author":"T Wellmann","year":"2020","unstructured":"Wellmann, T., Lausch, A., Andersson, E., Knapp, S., Cortinovis, C., Jache, J., Scheuer, S., Kremer, P., Mascarenhas, A., Kraemer, R., et al.: Remote sensing in urban planning: Contributions towards ecologically sound policies? Landsc. Urban Plan. 204, 103921 (2020)","journal-title":"Landsc. Urban Plan."},{"key":"4407_CR35","doi-asserted-by":"publisher","first-page":"9539","DOI":"10.1007\/s00371-025-03980-z","volume":"41","author":"Y Wen","year":"2025","unstructured":"Wen, Y., Chen, B., Shi, W., et al.: MSPFM: Multi-Scale Pyramid Fusion Mamba for Medical Image Classification. Visual Comput. 41, 9539\u20139554 (2025)","journal-title":"Visual Comput."},{"key":"4407_CR36","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J.Y., et al.: Cbam: Convolutional block attention module. In Proceedings of the European conference on computer vision (ECCV), 3\u201319 (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"4407_CR37","unstructured":"Xiao, C., Li, M., Zhang, Z., et al.: Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion. arXiv preprint arXiv:2410.15091 (2024)"},{"key":"4407_CR38","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1016\/j.proenv.2011.12.037","volume":"11","author":"S Xiaolu","year":"2011","unstructured":"Xiaolu, S., Bo, C.: Change detection using change vector analysis from Landsat TM images in Wuhan. Procedia Environ. Sci. 11, 238\u2013244 (2011)","journal-title":"Procedia Environ. Sci."},{"key":"4407_CR39","unstructured":"Xie, F., Zhang, W., Wang, Z. et al.: QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model. arXiv preprint arXiv:2410.06806 (2024)"},{"key":"4407_CR40","first-page":"1","volume":"60","author":"C Zhang","year":"2022","unstructured":"Zhang, C., Wang, L., Cheng, S., et al.: SwinSUNet: Pure Transformer network for remote sensing image change detection. IEEE Trans. Geosci. Remote Sens. 60, 1\u201313 (2022)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4407_CR41","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.isprsjprs.2020.06.003","volume":"166","author":"C Zhang","year":"2020","unstructured":"Zhang, C., Yue, P., Tapete, D., et al.: A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images. ISPRS J. Photogramm. Remote. Sens. 166, 183\u2013200 (2020)","journal-title":"ISPRS J. Photogramm. Remote. Sens."},{"key":"4407_CR42","doi-asserted-by":"crossref","unstructured":"Zhang, H., Chen, H., Zhou, C., Chen, K., Liu, C., Zou, Z., Shi, Z.: Bifa: Remote sensing image change detection with bitemporal feature alignment. IEEE Transactions on Geoscience and Remote Sensing (2024a)","DOI":"10.1109\/TGRS.2024.3376673"},{"key":"4407_CR43","unstructured":"Zhang, H., Chen, K., Liu, C., et al.: CDMamba: Remote Sensing Image Change Detection with Mamba. arXiv preprint arXiv:2406.04207 (2024b)"},{"issue":"22","key":"4407_CR44","doi-asserted-by":"publisher","first-page":"4186","DOI":"10.3390\/rs16224186","volume":"16","author":"J Zhang","year":"2024","unstructured":"Zhang, J., Chen, R., Liu, F., et al.: DC-Mamba: A Novel Network for Enhanced Remote Sensing Change Detection in Difficult Cases. Remote Sensing 16(22), 4186 (2024)","journal-title":"Remote Sensing"},{"key":"4407_CR45","first-page":"1","volume":"61","author":"X Zhang","year":"2023","unstructured":"Zhang, X., Cheng, S., Wang, L., Li, H.: Asymmetric Cross-Attention Hierarchical Network Based on CNN and Transformer for Bitemporal Remote Sensing Images Change Detection. IEEE Trans. Geosci. Remote Sens. 61, 1\u201315 (2023)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4407_CR46","doi-asserted-by":"crossref","unstructured":"Zhang, Yiyan, Gao, Hongmin, Chen, Zhonghao, Fei, Shuyu, Zhou, Jun, Ghamisi, Pedram, Zhang, Bing: Adaptive multi-stage fusion of hyperspectral and LiDAR data via selective state space models. Information Fusion 103488, (2025a)","DOI":"10.1016\/j.inffus.2025.103488"},{"key":"4407_CR47","doi-asserted-by":"crossref","unstructured":"Zhang, Yiyan, Gao, Hongmin, Chen, Zhonghao, Zhang, Chenkai, Ghamisi, Pedram, Zhang, Bing: E-Mamba: Efficient Mamba network for hyperspectral and LiDAR joint classification. Information Fusion 103649, (2025b)","DOI":"10.1016\/j.inffus.2025.103649"},{"key":"4407_CR48","first-page":"1","volume":"62","author":"S Zhao","year":"2024","unstructured":"Zhao, S., Chen, H., Zhang, X., Xiao, P., Bai, L., Ouyang, W.: RS-Mamba for Large Remote Sensing Image Dense Prediction. IEEE Trans. Geosci. Remote Sens. 62, 1\u201314 (2024)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4407_CR49","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.isprsjprs.2021.10.015","volume":"183","author":"Z Zheng","year":"2022","unstructured":"Zheng, Z., Zhong, Y., Tian, S., et al.: ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection. ISPRS J. Photogramm. Remote. Sens. 183, 228\u2013239 (2022)","journal-title":"ISPRS J. Photogramm. Remote. Sens."},{"key":"4407_CR50","doi-asserted-by":"crossref","unstructured":"Zhou, Yuan, Huo, Chunlei, Zhu, Jiahang, Huo, Leigang, Pan, Chunhong: DCAT: Dual Cross-Attention-Based Transformer for Change Detection. Remote Sensing 15(9), (2023). https:\/\/www.mdpi.com\/2072-4292\/15\/9\/2395","DOI":"10.3390\/rs15092395"},{"key":"4407_CR51","unstructured":"Zhu, L., Liao, B., Zhang, Q., et al.: Vision mamba: Efficient visual representation learning with bidirectional state space model. (2024a) arXiv preprint arXiv:2401.09417"},{"key":"4407_CR52","doi-asserted-by":"crossref","unstructured":"Zhu, L., Zhang, J., Sun, Y.: Remote sensing image change detection using superpixel cosegmentation. Information 12, 94 (2021)","DOI":"10.3390\/info12020094"},{"key":"4407_CR53","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/10095020.2022.2128902","volume":"27","author":"Q Zhu","year":"2024","unstructured":"Zhu, Q., Guo, X., Li, Z., Li, D.: A review of multi-class change detection for satellite remote sensing imagery. Geo-Spatial Information Science 27, 1\u201315 (2024)","journal-title":"Geo-Spatial Information Science"},{"issue":"1","key":"4407_CR54","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1080\/22797254.2018.1482523","volume":"51","author":"H Zhuang","year":"2018","unstructured":"Zhuang, H., Fan, H., Deng, K.: An improved neighborhood-based ratio approach for change detection in SAR images. European Journal of Remote Sensing 51(1), 723\u2013738 (2018)","journal-title":"European Journal of Remote Sensing"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-026-04407-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-026-04407-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-026-04407-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T13:40:32Z","timestamp":1775742032000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-026-04407-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":54,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,3]]}},"alternative-id":["4407"],"URL":"https:\/\/doi.org\/10.1007\/s00371-026-04407-z","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]},"assertion":[{"value":"22 November 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 February 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 March 2026","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":"214"}}