{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T14:28:29Z","timestamp":1762957709230,"version":"3.45.0"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T00:00:00Z","timestamp":1754870400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T00:00:00Z","timestamp":1754870400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci\u00f3n","doi-asserted-by":"publisher","award":["PID2021-125711OB-I00"],"award-info":[{"award-number":["PID2021-125711OB-I00"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100022397","name":"Govern de les Illes Balears","doi-asserted-by":"publisher","award":["FPU2024-002-C"],"award-info":[{"award-number":["FPU2024-002-C"]}],"id":[{"id":"10.13039\/501100022397","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Vis"],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1007\/s11263-025-02551-y","type":"journal-article","created":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T18:51:20Z","timestamp":1754938280000},"page":"7772-7793","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Nonlocal Retinex-Based Variational Model and its Deep Unfolding Twin for Low-Light Image Enhancement"],"prefix":"10.1007","volume":"133","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-5829-8557","authenticated-orcid":false,"given":"Daniel","family":"Torres","sequence":"first","affiliation":[]},{"given":"Joan","family":"Duran","sequence":"additional","affiliation":[]},{"given":"Julia","family":"Navarro","sequence":"additional","affiliation":[]},{"given":"Catalina","family":"Sbert","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,11]]},"reference":[{"key":"2551_CR1","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1007\/s11263-020-01418-8","volume":"129","author":"J Liu","year":"2021","unstructured":"Liu, J., Xu, D., Yang, W., Fan, M., & Huang, H. (2021). Benchmarking low-light image enhancement and beyond. Int. J. Comput. Vis., 129, 1153\u20131184.","journal-title":"Int. J. Comput. Vis."},{"key":"2551_CR2","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.jvcir.2024.104223","volume":"103","author":"PP Anoop","year":"2024","unstructured":"Anoop, P. P., & Deivanathan, R. (2024). Advancements in low light image enhancement techniques and recent applications. J. Vis. Commun. Image R., 103, 104\u2013223.","journal-title":"J. Vis. Commun. Image R."},{"issue":"2","key":"2551_CR3","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.dsp.2003.07.002","volume":"14","author":"H Cheng","year":"2004","unstructured":"Cheng, H., & Shi, X. (2004). A simple and effective histogram equalization approach to image enhancement. Digit. Signal Process., 14(2), 158\u2013170.","journal-title":"Digit. Signal Process."},{"key":"2551_CR4","doi-asserted-by":"crossref","unstructured":"Paul, A., Bhattacharya, P., & Maity, S.P. (2022). Histogram modification in adaptive bi-histogram equalization for contrast enhancement on digital images. Optik 259 .","DOI":"10.1016\/j.ijleo.2022.168899"},{"key":"2551_CR5","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1023\/A:1022314423998","volume":"52","author":"R Kimmel","year":"2001","unstructured":"Kimmel, R., Elad, M., Shaked, D., Keshet, R., & Sobel, I. (2001). A variational framework for Retinex. Int. J. Comput. Vis., 52, 7\u201323.","journal-title":"Int. J. Comput. Vis."},{"key":"2551_CR6","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1137\/100806588","volume":"4","author":"MK Ng","year":"2011","unstructured":"Ng, M. K., & Wang, W. (2011). A total variation model for Retinex. SIAM J. Imaging Sci., 4, 345\u2013365.","journal-title":"SIAM J. Imaging Sci."},{"key":"2551_CR7","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1109\/TIP.2016.2639450","volume":"26","author":"X Guo","year":"2017","unstructured":"Guo, X., Yu, L., & Ling, H. (2017). LIME: Low-light image enhancement via illumination map estimation. IEEE Trans. Image Process., 26, 982\u2013993.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR8","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.sigpro.2016.05.031","volume":"129","author":"X Fu","year":"2016","unstructured":"Fu, X., Zeng, D., Huang, Y., Liao, Y., Ding, X., & Paisley, J. (2016). A fusion-based enhancing method for weakly illuminated images. Signal Process., 129, 82\u201396.","journal-title":"Signal Process."},{"key":"2551_CR9","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1049\/iet-ipr.2019.0814","volume":"14","author":"A Buades","year":"2020","unstructured":"Buades, A., Lisani, J.-L., Petro, A. B., & Sbert, C. (2020). Backlit images enhancement using global tone mappings and image fusion. IEEE Trans. Image Process., 14, 211\u2013219.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR10","doi-asserted-by":"crossref","unstructured":"Dong, X., Wang, G., Pang, Y., Li, W., Wen, J., Meng, W., & Lu, Y. (2011). Fast efficient algorithm for enhancement of low lighting video,. In: ICME, pp. 1\u20136 .","DOI":"10.1145\/1836845.1836920"},{"key":"2551_CR11","doi-asserted-by":"crossref","unstructured":"Li, L., Wang, R., Wang, W., & Gao, W. (2015). A low-light image enhancement method for both denoising and contrast enlarging. In: ICIP, pp. 3730\u20133734 .","DOI":"10.1109\/ICIP.2015.7351501"},{"key":"2551_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1364\/JOSA.61.000001","volume":"61","author":"EH Land","year":"1971","unstructured":"Land, E. H., & McCann, J. J. (1971). Lightness and Retinex theory. J. Opt. Soc. Am., 61, 1\u201311.","journal-title":"J. Opt. Soc. Am."},{"key":"2551_CR13","doi-asserted-by":"publisher","first-page":"2828","DOI":"10.1109\/TIP.2018.2810539","volume":"27","author":"M Li","year":"2018","unstructured":"Li, M., Liu, J., Yang, W., Sun, X., & Guo, Z. (2018). Structure-revealing low-light image enhancement via robust Retinex model. IEEE Trans. Image Process., 27, 2828\u20132841.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR14","doi-asserted-by":"crossref","unstructured":"Fu, X., Zeng, D., Huang, Y., Zhang, X., & Ding, X. (2016). A weighted variational model for simultaneous reflectance and illumination estimation. In: CVPR, pp. 2782\u20132790.","DOI":"10.1109\/CVPR.2016.304"},{"key":"2551_CR15","doi-asserted-by":"publisher","first-page":"5862","DOI":"10.1109\/TIP.2020.2984098","volume":"29","author":"X Ren","year":"2020","unstructured":"Ren, X., Yang, W., Cheng, W., & Liu, J. (2020). LR3M: Robust low-light enhancement via low-rank regularized retinex model. IEEE Trans. Image Process., 29, 5862\u20135876.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR16","doi-asserted-by":"crossref","unstructured":"Torres, D., Sbert, C., & Duran, J. (2024). Combining total variation and nonlocal variational models for low-light image enhancement. In: VISIGRAPP, pp. 508\u2013515 .","DOI":"10.5220\/0012386300003660"},{"key":"2551_CR17","doi-asserted-by":"crossref","unstructured":"Chen, B., Guo, Z., Yao, W., Ding, X., & Zhang, D. (2023). A novel low-light enhancement via fractional-order and low-rank regularized retinex model. Comp. Appl. Math. 42.","DOI":"10.1007\/s40314-022-02140-6"},{"key":"2551_CR18","unstructured":"Lv, F., Lu, F., & Wu, J. (2018). MBLLEN: Low-light image\/video enhancement using cnns. In: BMVC ."},{"key":"2551_CR19","doi-asserted-by":"crossref","unstructured":"Guo, C., Li, C., Guo, J., Loy, C.C., Hou, J., Kwong, S., & Cong, R. (2020). Zero-reference deep curve estimation for low-light image enhancement. In: CVPR, pp. 1777\u20131786 .","DOI":"10.1109\/CVPR42600.2020.00185"},{"key":"2551_CR20","doi-asserted-by":"crossref","unstructured":"Cai, Y., Bian, H., Lin, J., Wang, H., Timofte, R., & Zhang, Y. (2023). Retinexformer: One-stage Retinex-based transformer for low-light image enhancement. In: ICCV, pp. 12470\u201312479 .","DOI":"10.1109\/ICCV51070.2023.01149"},{"key":"2551_CR21","doi-asserted-by":"crossref","unstructured":"Liu, R., Ma, L., Zhang, J., Fan, X., & Luo, Z. (2021). Retinex-inspired unrolling with cooperative prior architecture search for low-light image enhancement. In: CVPR, pp. 10556\u201310565 .","DOI":"10.1109\/CVPR46437.2021.01042"},{"key":"2551_CR22","doi-asserted-by":"crossref","unstructured":"Wu, W., Weng, J., Zhang, P., Wang, X., Yang, W., & Jiang, J. (2022). URetinex-net: Retinex-based deep unfolding network for low-light image enhancement. In: CVPR, pp. 5891\u20135900 .","DOI":"10.1109\/CVPR52688.2022.00581"},{"key":"2551_CR23","doi-asserted-by":"publisher","first-page":"15758","DOI":"10.1109\/TNNLS.2023.3289626","volume":"35","author":"X Liu","year":"2024","unstructured":"Liu, X., Xie, Q., Zhao, Q., Wang, H., & Meng, D. (2024). Low-light image enhancement by Retinex-based algorithm unrolling and adjustment. IEEE Trans. Neural Netw. Learn. Syst., 35, 15758\u201315771.","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"2551_CR24","doi-asserted-by":"crossref","unstructured":"Liang, J., Cao, J., Sun, G., Zhang, K., Van\u00a0Gool, L., & Timofte, R. (2021). Swinir: Image restoration using swin transformer. In: ICCVW, pp. 1833\u20131844 .","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"2551_CR25","unstructured":"Pereira-S\u00e1nchez, I., Sans, E., Navarro, J., & Duran, J. (2024). Multi-Head Attention Residual Unfolded Network for Model-Based Pansharpening https:\/\/arxiv.org\/abs\/2409.02675."},{"key":"2551_CR26","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1007\/s10851-010-0251-1","volume":"40","author":"A Chambolle","year":"2011","unstructured":"Chambolle, A., & Pock, T. (2011). A first-order primal-dual algorithm for convex problems with applications to imaging. J. Math. Imaging Vis., 40, 120\u2013145.","journal-title":"J. Math. Imaging Vis."},{"key":"2551_CR27","doi-asserted-by":"crossref","unstructured":"Torres, D., Sbert, C., & Duran, J. (2025). A retinex-based variational model with a nonlocal gradient-type constraint for low-light image enhancement. In: Submitted to Int. Conf. Image Processing (ICIP) .","DOI":"10.1007\/s11263-025-02551-y"},{"key":"2551_CR28","doi-asserted-by":"publisher","first-page":"2825","DOI":"10.1109\/TIP.2010.2049239","volume":"19","author":"JM Morel","year":"2010","unstructured":"Morel, J. M., Petro, A. B., & Sbert, C. (2010). A pde formalization of Retinex theory. IEEE Trans. Image Process., 19, 2825\u20132837.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR29","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1109\/83.557356","volume":"6","author":"D Jobson","year":"1996","unstructured":"Jobson, D., Rahman, Z., & Woodell, G. (1996). Properties and performance of a center\/surround Retinex. IEEE Trans. Image Process., 6, 451\u2013462.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR30","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1109\/83.597272","volume":"6","author":"D Jobson","year":"1997","unstructured":"Jobson, D., Rahman, Z., & Woodell, G. (1997). A multi-scale Retinex for bridging the gap between color images and the human observation of scenes. IEEE Trans. Image Process., 6, 965\u2013976.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR31","doi-asserted-by":"crossref","unstructured":"Galdran, A., Bria, A., Alvarez-Gila, A., Vazquez-Corral, J., & Bertalm\u00edo, M. (2018). On the duality between Retinex and image dehazing. In: CVPR, pp. 8212\u20138221 .","DOI":"10.1109\/CVPR.2018.00857"},{"key":"2551_CR32","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.1137\/070698592","volume":"7","author":"G Gilboa","year":"2009","unstructured":"Gilboa, G., & Osher, S. (2009). Nonlocal operators with applications to image processing. Multiscale Model. Simul., 7, 1005\u20131028.","journal-title":"Multiscale Model. Simul."},{"key":"2551_CR33","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1137\/130928625","volume":"7","author":"J Duran","year":"2014","unstructured":"Duran, J., Buades, A., Coll, B., & Sbert, C. (2014). A nonlocal variational model for pansharpening image fusion. SIAM J. Imaging Sciences, 7, 761\u2013796.","journal-title":"SIAM J. Imaging Sciences"},{"key":"2551_CR34","doi-asserted-by":"publisher","first-page":"787","DOI":"10.1137\/140972664","volume":"8","author":"D Zosso","year":"2015","unstructured":"Zosso, D., Tran, G., & Osher, S. (2015). Non-local retinex\u2013a unifying framework and beyond. SIAM J. Imaging Sciences, 8, 787\u2013826.","journal-title":"SIAM J. Imaging Sciences"},{"key":"2551_CR35","doi-asserted-by":"crossref","unstructured":"Lore, K.G., Akintayo, A., & Sarkar, S. (2017). LLNet: A deep autoencoder approach to natural low-light image enhancement. Pattern Recognit. 61 .","DOI":"10.1016\/j.patcog.2016.06.008"},{"key":"2551_CR36","doi-asserted-by":"publisher","first-page":"2175","DOI":"10.1007\/s11263-021-01466-8","volume":"129","author":"F Lv","year":"2021","unstructured":"Lv, F., Yu, L., & Lu, F. (2021). Attention guided low-light image enhancement with a large scale low-light simulation dataset. Int. J. Comput. Vis., 129, 2175\u20132193.","journal-title":"Int. J. Comput. Vis."},{"key":"2551_CR37","doi-asserted-by":"publisher","first-page":"2340","DOI":"10.1109\/TIP.2021.3051462","volume":"30","author":"Y Jiang","year":"2021","unstructured":"Jiang, Y., Gong, X., Liu, D., Cheng, Y., Fang, C., Shen, X., Yang, J., Zhou, P., & Wang, Z. (2021). Enlightengan: Deep light enhancement without paired supervision. IEEE Trans. Image Process., 30, 2340\u20132349.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR38","unstructured":"Wei, C., Wang, W., Yang, W., & Liu, J. (2018). Deep Retinex decomposition for low-light enhancement. In: BMVC ."},{"key":"2551_CR39","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1007\/s11263-020-01407-x","volume":"129","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Guo, X., Ma, J., Liu, W., & Zhang, J. (2021). Beyond brightening low-light images. Int. J. Comput. Vis., 129, 1013\u20131027.","journal-title":"Int. J. Comput. Vis."},{"key":"2551_CR40","doi-asserted-by":"publisher","first-page":"2072","DOI":"10.1109\/TIP.2021.3050850","volume":"30","author":"W Yang","year":"2021","unstructured":"Yang, W., Wang, W., Huang, H., Wang, S., & Liu, J. (2021). Sparse gradient regularized deep retinex network for robust low-light image enhancement. IEEE Trans. Image Process., 30, 2072\u20132086.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR41","first-page":"1576","volume":"35","author":"Z Zhu","year":"2025","unstructured":"Zhu, Z., Yang, X., Lu, R., Shen, T., Zhang, T., & Wang, S. (2025). Ghost imaging in the dark: A multi-illumination estimation network for low-light image enhancement. IEEE Trans. Image Process., 35, 1576\u20131590.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR42","doi-asserted-by":"crossref","unstructured":"Jin, Y., Yang, W., & Tan, R.T. (2022). Unsupervised night image enhancement: When layer decomposition meets light-effects suppression. In: ECCV, pp. 404\u2013421 .","DOI":"10.1007\/978-3-031-19836-6_23"},{"key":"2551_CR43","doi-asserted-by":"publisher","first-page":"969","DOI":"10.1109\/TCI.2024.3420942","volume":"10","author":"L Zhao","year":"2024","unstructured":"Zhao, L., Chen, B., Zhang, J., Wang, A., & Bai, H. (2024). RIRO: From Retinex-inspired reconstruction optimization model to deep low-light image enhancement unfolding network. IEEE Trans. Comput. Imaging, 10, 969\u2013983.","journal-title":"IEEE Trans. Comput. Imaging"},{"key":"2551_CR44","doi-asserted-by":"publisher","first-page":"2545","DOI":"10.1109\/TPAMI.2024.3524538","volume":"47","author":"W Wu","year":"2025","unstructured":"Wu, W., Weng, J., Zhang, P., Wang, X., Yang, W., & Jiang, J. (2025). Interpretable optimization-inspired unfolding network for low-light image enhancement. IEEE Trans. Pattern Anal. Mach. Intell., 47, 2545\u20132562.","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2551_CR45","doi-asserted-by":"publisher","first-page":"2080","DOI":"10.1109\/TIP.2007.901238","volume":"16","author":"K Dabov","year":"2007","unstructured":"Dabov, K., Foi, A., Katkovnik, V., & Egiazarian, K. (2007). Image denoising by sparse 3-D transform-domain collaborative filtering. IEEE Trans. Image Process., 16, 2080\u20132095.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR46","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1109\/TIP.2017.2759252","volume":"27","author":"CO Ancuti","year":"2018","unstructured":"Ancuti, C. O., Ancuti, C., De Vleeschouwer, C., & Bekaert, P. (2018). Color balance and fusion for underwater image enhancement. IEEE Trans. Image Process., 27, 379\u2013393.","journal-title":"IEEE Trans. Image Process."},{"key":"2551_CR47","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1017\/S096249291600009X","volume":"25","author":"A Chambolle","year":"2016","unstructured":"Chambolle, A., & Pock, T. (2016). An introduction to continuous optimization for imaging. Acta Numer., 25, 161\u2013319.","journal-title":"Acta Numer."},{"key":"2551_CR48","doi-asserted-by":"crossref","unstructured":"Petro, A.B., Sbert, C., & Morel, J.M. (2014). Multiscale Retinex. IPOL, 71\u201388.","DOI":"10.5201\/ipol.2014.107"},{"key":"2551_CR49","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/0016-0032(80)90058-7","volume":"310","author":"G Buchsbaum","year":"1980","unstructured":"Buchsbaum, G. (1980). A spatial processor model for object colour perception. J. Frankl. Inst., 310, 1\u201326.","journal-title":"J. Frankl. Inst."},{"key":"2551_CR50","doi-asserted-by":"crossref","unstructured":"Wang, X., Girshick, R., Gupta, A., & He, K. (2018). Non-local neural networks. In: CVPR, pp. 7794\u20137803 .","DOI":"10.1109\/CVPR.2018.00813"},{"key":"2551_CR51","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., & Gelly, S., et al. (2020). An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 ."},{"key":"2551_CR52","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A., Shechtman, E., & Wang, O. (2018). The unreasonable effectiveness of deep features as a perceptual metric. In: CVPR .","DOI":"10.1109\/CVPR.2018.00068"},{"key":"2551_CR53","doi-asserted-by":"publisher","DOI":"10.1117\/3.34917","volume-title":"Digital Image Compression Techniques","author":"M Rabbani","year":"1991","unstructured":"Rabbani, M., & Jones, P. W. (1991). Digital Image Compression Techniques (Vol. 7). California: SPIE press."},{"issue":"3","key":"2551_CR54","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1109\/97.995823","volume":"9","author":"Z Wang","year":"2002","unstructured":"Wang, Z., & Bovik, A. C. (2002). A universal image quality index. IEEE Signal Processing Letters, 9(3), 81\u201384.","journal-title":"IEEE Signal Processing Letters"},{"key":"2551_CR55","doi-asserted-by":"crossref","unstructured":"Mittal, A., Soundararajan, R., & Bovik, A. C. (2013). Making a \u201ccompletely blind\u201d image quality analyzer. IEEE Signal Process. Lett.,20, 209\u2013212.","DOI":"10.1109\/LSP.2012.2227726"},{"key":"2551_CR56","doi-asserted-by":"crossref","unstructured":"Wang, R., Zhang, Q., Fu, C.-W., Shen, X., Zheng, W.-S., & Jia, J (2019). Underexposed photo enhancement using deep illumination estimation. In: CVPR, pp. 6842\u20136850 .","DOI":"10.1109\/CVPR.2019.00701"}],"container-title":["International Journal of Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-025-02551-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11263-025-02551-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-025-02551-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T06:29:29Z","timestamp":1762928969000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11263-025-02551-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,11]]},"references-count":56,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["2551"],"URL":"https:\/\/doi.org\/10.1007\/s11263-025-02551-y","relation":{},"ISSN":["0920-5691","1573-1405"],"issn-type":[{"type":"print","value":"0920-5691"},{"type":"electronic","value":"1573-1405"}],"subject":[],"published":{"date-parts":[[2025,8,11]]},"assertion":[{"value":"5 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 July 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 August 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}