{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T20:16:15Z","timestamp":1783455375714,"version":"3.55.0"},"reference-count":52,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100002338","name":"Ministry of Education of the People&apos;s Republic of China","doi-asserted-by":"publisher","award":["JYB2025XDXM103"],"award-info":[{"award-number":["JYB2025XDXM103"]}],"id":[{"id":"10.13039\/501100002338","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32300525"],"award-info":[{"award-number":["32300525"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012543","name":"Shanghai Science and Technology Development Foundation","doi-asserted-by":"publisher","award":["YDZX20253100002004"],"award-info":[{"award-number":["YDZX20253100002004"]}],"id":[{"id":"10.13039\/100012543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2025M781504"],"award-info":[{"award-number":["2025M781504"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.patcog.2026.114345","type":"journal-article","created":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T06:47:08Z","timestamp":1782542828000},"page":"114345","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PD","title":["Prior-informed generative hashing under non-ideal semantic manifolds for cross-modal retrieval"],"prefix":"10.1016","volume":"180","author":[{"given":"Zequn","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fengling","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8013-5188","authenticated-orcid":false,"given":"Tianshi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guohua","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoli","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"11","key":"10.1016\/j.patcog.2026.114345_b1","doi-asserted-by":"crossref","first-page":"1716","DOI":"10.1109\/JPROC.2024.3525147","article-title":"Cross-modal retrieval: A systematic review of methods and future directions","volume":"112","author":"Wang","year":"2024","journal-title":"Proc. IEEE"},{"key":"10.1016\/j.patcog.2026.114345_b2","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","volume":"32","author":"Cao","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst."},{"issue":"9","key":"10.1016\/j.patcog.2026.114345_b3","doi-asserted-by":"crossref","first-page":"10795","DOI":"10.1109\/TPAMI.2023.3268118","article-title":"Deep long-tailed learning: A survey","volume":"45","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.114345_b4","doi-asserted-by":"crossref","unstructured":"J. Tian, K. Wang, X. Xu, Z. Cao, F. Shen, H.T. Shen, Multimodal disentanglement variational autoencoders for zero-shot cross-modal retrieval, in: Proceedings of the International ACM SIGIR Conference, 2022, pp. 960\u2013969.","DOI":"10.1145\/3477495.3532028"},{"issue":"11","key":"10.1016\/j.patcog.2026.114345_b5","doi-asserted-by":"crossref","first-page":"5823","DOI":"10.1109\/TKDE.2024.3410388","article-title":"Contrastive incomplete cross-modal hashing","volume":"36","author":"Luo","year":"2024","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.patcog.2026.114345_b6","doi-asserted-by":"crossref","unstructured":"C. Wei, K. Sohn, C. Mellina, A. Yuille, F. Yang, Crest: A class-rebalancing self-training framework for imbalanced semi-supervised learning, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021, pp. 10857\u201310866.","DOI":"10.1109\/CVPR46437.2021.01071"},{"issue":"11","key":"10.1016\/j.patcog.2026.114345_b7","doi-asserted-by":"crossref","first-page":"4368","DOI":"10.1109\/TCSVT.2019.2953692","article-title":"Unsupervised cross-media retrieval using domain adaptation with scene graph","volume":"30","author":"Peng","year":"2020","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.patcog.2026.114345_b8","doi-asserted-by":"crossref","unstructured":"Y. Jiang, W. Zhang, X. Zhang, X.-Y. Wei, C.W. Chen, Q. Li, Prior knowledge integration via llm encoding and pseudo event regulation for video moment retrieval, in: Proceedings of the ACM International Conference on Multimedia, 2024, pp. 7249\u20137258.","DOI":"10.1145\/3664647.3681115"},{"key":"10.1016\/j.patcog.2026.114345_b9","first-page":"1","article-title":"Dynamic bit-wise semantic transformer hashing for multi-modal retrieval","author":"Tan","year":"2025","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.114345_b10","doi-asserted-by":"crossref","first-page":"4440","DOI":"10.1109\/TIP.2025.3586504","article-title":"Fast partial-modal online cross-modal hashing","volume":"34","author":"Li","year":"2025","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114345_b11","article-title":"Prompt-driven bit extension hashing for continual cross-modal retrieval","author":"Liu","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.patcog.2026.114345_b12","doi-asserted-by":"crossref","unstructured":"S. Su, Z. Zhong, C. Zhang, Deep joint-semantics reconstructing hashing for large-scale unsupervised cross-modal retrieval, in: Proceedings of the IEEE International Conference on Computer Vision, 2019, pp. 3027\u20133035.","DOI":"10.1109\/ICCV.2019.00312"},{"key":"10.1016\/j.patcog.2026.114345_b13","doi-asserted-by":"crossref","first-page":"6319","DOI":"10.1109\/TMM.2025.3581813","article-title":"Plug-in open-set cross-modal hashing","volume":"27","author":"Wang","year":"2025","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.114345_b14","first-page":"5","article-title":"Unsupervised deep hashing via binary latent factor models for large-scale cross-modal retrieval.","volume":"vol. 1","author":"Wu","year":"2018"},{"issue":"3","key":"10.1016\/j.patcog.2026.114345_b15","first-page":"3877","article-title":"Unsupervised contrastive cross-modal hashing","volume":"45","author":"Hu","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.114345_b16","doi-asserted-by":"crossref","first-page":"2737","DOI":"10.1109\/TIP.2025.3561659","article-title":"Cross-modal hashing via diverse instances matching","volume":"34","author":"Tu","year":"2025","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114345_b17","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2026.114053","article-title":"Unified stable and generalizable online hashing for cross-modal retrieval","volume":"180","author":"Sun","year":"2026","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.114345_b18","doi-asserted-by":"crossref","unstructured":"Q.-Y. Jiang, W.-J. Li, Deep cross-modal hashing, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017, pp. 3232\u20133240.","DOI":"10.1109\/CVPR.2017.348"},{"key":"10.1016\/j.patcog.2026.114345_b19","doi-asserted-by":"crossref","first-page":"4520","DOI":"10.1109\/TMM.2022.3177901","article-title":"Teacher-student learning: Efficient hierarchical message aggregation hashing for cross-modal retrieval","volume":"25","author":"Tan","year":"2022","journal-title":"IEEE Trans. Multimed."},{"issue":"12","key":"10.1016\/j.patcog.2026.114345_b20","doi-asserted-by":"crossref","first-page":"7636","DOI":"10.1109\/TPAMI.2024.3392763","article-title":"Cross-modal hashing method with properties of hamming space: A new perspective","volume":"46","author":"Hu","year":"2024","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.114345_b21","first-page":"1","article-title":"Deep semantic-consistent penalizing hashing for cross-modal retrieval","author":"Qin","year":"2025","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.114345_b22","doi-asserted-by":"crossref","unstructured":"Z. Hu, X. Liu, X. Wang, Y.-m. Cheung, N. Wang, Y. Chen, Triplet fusion network hashing for unpaired cross-modal retrieval, in: Proceedings of the ACM International Conference on Multimedia, 2019, pp. 141\u2013149.","DOI":"10.1145\/3323873.3325041"},{"key":"10.1016\/j.patcog.2026.114345_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110555","article-title":"CAST: Cross-modal retrieval and visual conditioning for image captioning","volume":"153","author":"Cao","year":"2024","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.114345_b24","doi-asserted-by":"crossref","first-page":"1344","DOI":"10.1109\/TIP.2019.2941858","article-title":"Collective affinity learning for partial cross-modal hashing","volume":"29","author":"Guo","year":"2019","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.114345_b25","doi-asserted-by":"crossref","unstructured":"M. Jing, J. Li, L. Zhu, K. Lu, Y. Yang, Z. Huang, Incomplete cross-modal retrieval with dual-aligned variational autoencoders, in: Proceedings of the ACM International Conference on Multimedia, 2020, pp. 3283\u20133291.","DOI":"10.1145\/3394171.3413676"},{"issue":"5","key":"10.1016\/j.patcog.2026.114345_b26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3637442","article-title":"Incomplete cross-modal retrieval with deep correlation transfer","volume":"20","author":"Shi","year":"2024","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"issue":"9","key":"10.1016\/j.patcog.2026.114345_b27","doi-asserted-by":"crossref","first-page":"5890","DOI":"10.1109\/TPAMI.2024.3369102","article-title":"Probabilistic contrastive learning for long-tailed visual recognition","volume":"46","author":"Du","year":"2024","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.114345_b28","doi-asserted-by":"crossref","unstructured":"S. Zhang, Z. Li, S. Yan, X. He, J. Sun, Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021, pp. 2361\u20132370.","DOI":"10.1109\/CVPR46437.2021.00239"},{"key":"10.1016\/j.patcog.2026.114345_b29","doi-asserted-by":"crossref","first-page":"123007","DOI":"10.52202\/079017-3909","article-title":"DiffuLT: Diffusion for long-tail recognition without external knowledge","volume":"37","author":"Shao","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.patcog.2026.114345_b30","doi-asserted-by":"crossref","unstructured":"Y. Chen, Y. Hou, S. Leng, Q. Zhang, Z. Lin, D. Zhang, Long-tail hashing, in: Proceedings of the International ACM SIGIR Conference, 2021, pp. 1328\u20131338.","DOI":"10.1145\/3404835.3462888"},{"key":"10.1016\/j.patcog.2026.114345_b31","first-page":"7642","article-title":"Long-tail cross modal hashing","volume":"vol. 37","author":"Gao","year":"2023"},{"key":"10.1016\/j.patcog.2026.114345_b32","doi-asserted-by":"crossref","unstructured":"Y. Liu, Q. Chen, S. Albanie, Adaptive cross-modal prototypes for cross-domain visual-language retrieval, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021, pp. 14954\u201314964.","DOI":"10.1109\/CVPR46437.2021.01471"},{"issue":"10","key":"10.1016\/j.patcog.2026.114345_b33","doi-asserted-by":"crossref","first-page":"9664","DOI":"10.1109\/TCSVT.2024.3374791","article-title":"Cross-domain transfer hashing for efficient cross-modal retrieval","volume":"34","author":"Li","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"4","key":"10.1016\/j.patcog.2026.114345_b34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3777477","article-title":"Noise-robust generative hashing for cross-modal retrieval","volume":"22","author":"Wang","year":"2026","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"key":"10.1016\/j.patcog.2026.114345_b35","doi-asserted-by":"crossref","unstructured":"Y. Wang, L. Wang, Q. Zhou, Z. Wang, H. Li, G. Hua, W. Tang, Multimodal llm enhanced cross-lingual cross-modal retrieval, in: Proceedings of the ACM International Conference on Multimedia, 2024, pp. 8296\u20138305.","DOI":"10.1145\/3664647.3680886"},{"key":"10.1016\/j.patcog.2026.114345_b36","doi-asserted-by":"crossref","unstructured":"V. Pipoli, A. Saporita, F. Bolelli, M. Cornia, L. Baraldi, C. Grana, R. Cucchiara, E. Ficarra, Missrag: Addressing the missing modality challenge in multimodal large language models, in: Proceedings of the IEEE International Conference on Computer Vision, 2025, pp. 3215\u20133224.","DOI":"10.1109\/ICCV51701.2025.00308"},{"issue":"12","key":"10.1016\/j.patcog.2026.114345_b37","doi-asserted-by":"crossref","first-page":"12861","DOI":"10.1109\/TCSVT.2025.3588769","article-title":"Generative augmentation hashing for few-shot cross-modal retrieval","volume":"35","author":"Li","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.patcog.2026.114345_b38","doi-asserted-by":"crossref","first-page":"5305","DOI":"10.1109\/TMM.2022.3190222","article-title":"Attribute-guided multiple instance hashing network for cross-modal zero-shot hashing","volume":"25","author":"Song","year":"2022","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.114345_b39","doi-asserted-by":"crossref","unstructured":"Y. Li, W. Wang, L. Qu, L. Nie, W. Li, T.-S. Chua, Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond, in: Proceedings of the Association for Computational Linguistics, 2024, pp. 11851\u201311861.","DOI":"10.18653\/v1\/2024.acl-long.639"},{"key":"10.1016\/j.patcog.2026.114345_b40","first-page":"18733","article-title":"Generative multi-modal knowledge retrieval with large language models","volume":"vol. 38","author":"Long","year":"2024"},{"key":"10.1016\/j.patcog.2026.114345_b41","doi-asserted-by":"crossref","first-page":"8255","DOI":"10.1109\/TMM.2024.3379096","article-title":"AAMT: Adversarial attack-driven mutual teaching for source-free domain-adaptive person reidentification","volume":"26","author":"Qu","year":"2024","journal-title":"IEEE Trans. Multimed."},{"issue":"5","key":"10.1016\/j.patcog.2026.114345_b42","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3742422","article-title":"Semantic-enhanced co-attention prompt learning for non-overlapping cross-domain recommendation","volume":"43","author":"Guo","year":"2025","journal-title":"ACM Trans. Inf. Syst."},{"key":"10.1016\/j.patcog.2026.114345_b43","doi-asserted-by":"crossref","DOI":"10.1109\/TMM.2025.3565973","article-title":"Compact-yet-separate: Proto-centric multi-modal hashing with pronounced category differences for multi-modal retrieval","author":"Zuo","year":"2025","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.patcog.2026.114345_b44","series-title":"Gpt-4o system card","author":"Hurst","year":"2024"},{"key":"10.1016\/j.patcog.2026.114345_b45","series-title":"Sdxl: Improving latent diffusion models for high-resolution image synthesis","author":"Podell","year":"2023"},{"key":"10.1016\/j.patcog.2026.114345_b46","unstructured":"J. Li, D. Li, S. Savarese, S. Hoi, Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models, in: Proceedings of the International Conference on Machine Learning, 2023, pp. 19730\u201319742."},{"key":"10.1016\/j.patcog.2026.114345_b47","doi-asserted-by":"crossref","unstructured":"M.J. Huiskes, M.S. Lew, The mir flickr retrieval evaluation, in: Proceedings of the ACM International Conference on Multimedia, 2008, pp. 39\u201343.","DOI":"10.1145\/1460096.1460104"},{"key":"10.1016\/j.patcog.2026.114345_b48","doi-asserted-by":"crossref","unstructured":"T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Doll\u00e1r, C.L. Zitnick, Microsoft coco: Common objects in context, in: Proceedings of the European Conference on Computer Vision, 2014, pp. 740\u2013755.","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"10.1016\/j.patcog.2026.114345_b49","doi-asserted-by":"crossref","unstructured":"T.-S. Chua, J. Tang, R. Hong, H. Li, Z. Luo, Y. Zheng, Nus-wide: a real-world web image database from national university of singapore, in: Proceedings of the ACM International Conference on Image and Video Retrieval, 2009, pp. 1\u20139.","DOI":"10.1145\/1646396.1646452"},{"issue":"9","key":"10.1016\/j.patcog.2026.114345_b50","doi-asserted-by":"crossref","first-page":"8838","DOI":"10.1109\/TKDE.2022.3218656","article-title":"Work together: Correlation-identity reconstruction hashing for unsupervised cross-modal retrieval","volume":"35","author":"Zhu","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1","key":"10.1016\/j.patcog.2026.114345_b51","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1109\/TCSVT.2023.3285266","article-title":"Deep semantic-aware proxy hashing for multi-label cross-modal retrieval","volume":"34","author":"Huo","year":"2024","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.patcog.2026.114345_b52","unstructured":"A. Radford, J.W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al., Learning transferable visual models from natural language supervision, in: Proceedings of the International Conference on Machine Learning, 2021, pp. 8748\u20138763."}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326013105?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326013105?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T19:42:48Z","timestamp":1783453368000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320326013105"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":52,"alternative-id":["S0031320326013105"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.114345","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Prior-informed generative hashing under non-ideal semantic manifolds for cross-modal retrieval","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.114345","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"114345"}}