{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T02:55:18Z","timestamp":1761015318923,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":75,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T00:00:00Z","timestamp":1730678400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-2312834"],"award-info":[{"award-number":["CNS-2312834"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,4]]},"DOI":"10.1145\/3646547.3688422","type":"proceedings-article","created":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T09:40:26Z","timestamp":1730454026000},"page":"530-544","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["High-Fidelity Cellular Network Control-Plane Traffic Generation without Domain Knowledge"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8887-1698","authenticated-orcid":false,"given":"Z. Jonny","family":"Kong","sequence":"first","affiliation":[{"name":"Purdue University, West Lafayette, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8528-4740","authenticated-orcid":false,"given":"Nathan","family":"Hu","sequence":"additional","affiliation":[{"name":"Stanford University, Palo Alto, CA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1136-9909","authenticated-orcid":false,"given":"Y. Charlie","family":"Hu","sequence":"additional","affiliation":[{"name":"Purdue University, West Lafayette, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3091-8894","authenticated-orcid":false,"given":"Jiayi","family":"Meng","sequence":"additional","affiliation":[{"name":"University of Texas at Arlington, Arlington, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0752-2122","authenticated-orcid":false,"given":"Yaron","family":"Koral","sequence":"additional","affiliation":[{"name":"AT&amp;T Labs, Middletown, USA"}]}],"member":"320","published-online":{"date-parts":[[2024,11,4]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"214","article-title":"Architecture Enhancements for Control and User Plane Separation of EPC Nodes","volume":"23","author":"GPP.","year":"2016","unstructured":"3GPP. 2016. Architecture Enhancements for Control and User Plane Separation of EPC Nodes. Technical Specification (TS) 23.214. https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx'specificationId=3077","journal-title":"Technical Specification (TS)"},{"key":"e_1_3_2_1_2_1","first-page":"401","article-title":"General Packet Radio Service (GPRS) Enhancements for Evolved Universal Terrestrial Radio Access Network (E-UTRAN) Access","volume":"23","author":"GPP.","year":"2016","unstructured":"3GPP. 2016. General Packet Radio Service (GPRS) Enhancements for Evolved Universal Terrestrial Radio Access Network (E-UTRAN) Access. Technical Specification (TS) 23.401. https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx'specificationId=849","journal-title":"Technical Specification (TS)"},{"key":"e_1_3_2_1_3_1","first-page":"501","article-title":"System Architecture for the 5G System","volume":"23","author":"GPP.","year":"2016","unstructured":"3GPP. 2016. System Architecture for the 5G System. Technical Specification (TS) 23.501. https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx'specificationId=3144","journal-title":"Technical Specification (TS)"},{"key":"e_1_3_2_1_4_1","unstructured":"3GPP. 2024. About 3GPP. https:\/\/www.3gpp.org\/about-us. (2024)."},{"key":"e_1_3_2_1_5_1","volume-title":"Proc. of USENIX NSDI.","author":"Agarwal Anup","year":"2022","unstructured":"Anup Agarwal, Zaoxing Liu, and Srinivasan Seshan. 2022. HeteroSketch: Coordinating Network-Wide Monitoring in Heterogeneous and Dynamic Networks. In Proc. of USENIX NSDI."},{"key":"e_1_3_2_1_6_1","unstructured":"Strategy Analytics. 2021. 5G Signaling and Control Plane Traffic Depends on Service Communications Proxy (SCP). https:\/\/carrier.huawei.com\/ \/media\/cnbgv2\/download\/products\/core\/strategy-analytics-5g-signaling-en.pdf. (2021)."},{"key":"e_1_3_2_1_7_1","volume-title":"Proc. of the Annual Workshop of the Australasian Language Technology Association.","author":"Arora Gaurav","year":"2019","unstructured":"Gaurav Arora, Afshin Rahimi, and Timothy Baldwin. 2019. Does an LSTM Forget More than a CNN? An Empirical Study of Catastrophic Forgetting in NLP. In Proc. of the Annual Workshop of the Australasian Language Technology Association."},{"key":"e_1_3_2_1_8_1","volume-title":"Proc. of USENIX NSDI.","author":"Bhardwaj Romil","year":"2022","unstructured":"Romil Bhardwaj, Zhengxu Xia, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Nikolaos Karianakis, Kevin Hsieh, Paramvir Bahl, and Ion Stoica. 2022. Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers. In Proc. of USENIX NSDI."},{"key":"e_1_3_2_1_9_1","volume-title":"Quantifying Memorization across Neural Language Models. arXiv preprint arXiv:2202.07646","author":"Carlini Nicholas","year":"2022","unstructured":"Nicholas Carlini, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Florian Tramer, and Chiyuan Zhang. 2022. Quantifying Memorization across Neural Language Models. arXiv preprint arXiv:2202.07646 (2022)."},{"volume-title":"International Colloquium on Automata, Languages, and Programming","author":"Charikar Moses","key":"e_1_3_2_1_10_1","unstructured":"Moses Charikar, Kevin Chen, and Martin Farach-Colton. 2002. Finding Frequent Items in Data Streams. In International Colloquium on Automata, Languages, and Programming. Springer."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2012.6214266"},{"key":"e_1_3_2_1_12_1","volume-title":"Advances in NeurIPS","volume":"31","author":"Chen Liqun","year":"2018","unstructured":"Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, and Lawrence Carin. 2018. Adversarial Text Generation via Feature-mover's Distance. Advances in NeurIPS, Vol. 31 (2018)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/IEMCON.2019.8936224"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"B. Claise. 2004. Cisco Systems NetFlow Services Export Version 9. (2004).","DOI":"10.17487\/rfc3954"},{"key":"e_1_3_2_1_15_1","volume-title":"Encyclopedia of Algorithms","author":"Cormode Graham","year":"2008","unstructured":"Graham Cormode. 2008. Count-Min Sketch. Encyclopedia of Algorithms (2008)."},{"key":"e_1_3_2_1_16_1","volume-title":"Data and Control Plane Traffic Modelling for LTE Networks. Mobile Networks and Applications","author":"Dababneh Dima","year":"2015","unstructured":"Dima Dababneh, Marc St-Hilaire, and Christian Makaya. 2015. Data and Control Plane Traffic Modelling for LTE Networks. Mobile Networks and Applications (2015)."},{"key":"e_1_3_2_1_17_1","volume-title":"Words: Transformers for Image Recognition at Scale. arXiv","author":"Dosovitskiy Alexey","year":"2020","unstructured":"Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al. 2020. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. arXiv 2020. arXiv preprint arXiv:2010.11929 (2020)."},{"key":"e_1_3_2_1_18_1","unstructured":"Ericsson. 2023. free5GC. https:\/\/free5gc.org\/. (2023)."},{"key":"e_1_3_2_1_19_1","volume-title":"arXiv preprint arXiv:1706.02633","author":"Esteban Crist\u00f3bal","year":"2017","unstructured":"Crist\u00f3bal Esteban, Stephanie L Hyland, and Gunnar R\u00e4tsch. 2017. Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs. arXiv preprint arXiv:1706.02633 (2017)."},{"key":"e_1_3_2_1_20_1","volume-title":"Proc. of ACM MobiCom.","author":"Ferguson Andrew E","year":"2023","unstructured":"Andrew E Ferguson, Jon Larrea, and Mahesh K Marina. 2023. CoreKube: An Efficient, Autoscaling and Resilient Mobile Core System. In Proc. of ACM MobiCom."},{"key":"e_1_3_2_1_21_1","volume-title":"Proc. of USENIX NSDI.","author":"Fonseca Rodrigo","year":"2007","unstructured":"Rodrigo Fonseca, George Porter, Randy H Katz, and Scott Shenker. 2007. X-trace: A Pervasive Network Tracing Framework. In Proc. of USENIX NSDI."},{"key":"e_1_3_2_1_22_1","volume-title":"5G Evolution: A View on 5G Cellular Technology Beyond 3GPP Release 15","author":"Ghosh Amitabha","year":"2019","unstructured":"Amitabha Ghosh, Andreas Maeder, Matthew Baker, and Devaki Chandramouli. 2019. 5G Evolution: A View on 5G Cellular Technology Beyond 3GPP Release 15. IEEE access, Vol. 7 (2019), 127639--127651."},{"key":"e_1_3_2_1_23_1","volume-title":"Advances in NeurIPS","volume":"30","author":"Gulrajani Ishaan","year":"2017","unstructured":"Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron C Courville. 2017. Improved Training of Wasserstein GANs. Advances in NeurIPS, Vol. 30 (2017)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3631588.3631599"},{"key":"e_1_3_2_1_25_1","volume-title":"Logan: Membership Inference Attacks against Generative Models. arXiv preprint arXiv:1705.07663","author":"Hayes Jamie","year":"2017","unstructured":"Jamie Hayes, Luca Melis, George Danezis, and Emiliano De Cristofaro. 2017. Logan: Membership Inference Attacks against Generative Models. arXiv preprint arXiv:1705.07663 (2017)."},{"key":"e_1_3_2_1_26_1","volume-title":"arXiv preprint arXiv:1809.04281","author":"Anna Huang Cheng-Zhi","year":"2018","unstructured":"Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Ian Simon, Curtis Hawthorne, Andrew M Dai, Matthew D Hoffman, Monica Dinculescu, and Douglas Eck. 2018. Music Transformer. arXiv preprint arXiv:1809.04281 (2018)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3098822.3098831"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511976"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISWTA.2012.6373868"},{"key":"e_1_3_2_1_30_1","volume-title":"Proc. of ACM SIGCOMM.","author":"Jain Vivek","year":"2022","unstructured":"Vivek Jain, Hao-Tse Chu, Shixiong Qi, Chia-An Lee, Hung-Cheng Chang, Cheng-Ying Hsieh, KK Ramakrishnan, and Jyh-Cheng Chen. 2022. L25GC: a Low Latency 5G Core Network Based on High-Performance NFV Platforms. In Proc. of ACM SIGCOMM."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3652963.3655071"},{"key":"e_1_3_2_1_32_1","volume-title":"Faaiq Bilal, Wei Ye, Joerg Widmer, Feng Qian, and Zhi-Li Zhang.","author":"Fezeu Rostand A K.","year":"2024","unstructured":"Rostand A K. Fezeu, Claudio Fiandrino, Eman Ramadan, Jason Carpenter, Lilian Coelho de Freitas, Faaiq Bilal, Wei Ye, Joerg Widmer, Feng Qian, and Zhi-Li Zhang. 2024. Unveiling the 5G Mid-Band Landscape: From Network Deployment to Performance and Application QoE. In Proc. of ACM SIGCOMM."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU46091.2019.9003750"},{"key":"e_1_3_2_1_34_1","volume-title":"Proc. of the 16th Workshop on Innovative Use of NLP for Building Educational Applications.","author":"Katinskaia Anisia","year":"2021","unstructured":"Anisia Katinskaia and Roman Yangarber. 2021. Assessing Grammatical Correctness in Language Learning. In Proc. of the 16th Workshop on Innovative Use of NLP for Building Educational Applications."},{"key":"e_1_3_2_1_35_1","volume-title":"Proc. of USENIX NSDI.","author":"Kim Hyojoon","year":"2015","unstructured":"Hyojoon Kim, Joshua Reich, Arpit Gupta, Muhammad Shahbaz, Nick Feamster, and Russ Clark. 2015. Kinetic: Verifiable Dynamic Network Control. In Proc. of USENIX NSDI."},{"key":"e_1_3_2_1_36_1","volume-title":"On Convergence and Stability of GANs. arXiv preprint arXiv:1705.07215","author":"Kodali Naveen","year":"2017","unstructured":"Naveen Kodali, Jacob Abernethy, James Hays, and Zsolt Kira. 2017. On Convergence and Stability of GANs. arXiv preprint arXiv:1705.07215 (2017)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/WIMOB.2010.5645043"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1109\/WMNC.2010.5678742"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3419394.3423643"},{"key":"e_1_3_2_1_40_1","volume-title":"Balancing Quality of Service, Pricing and Utilisation in Multiservice Networks with Stream and Elastic Traffic. Teletraffic Science and Engineering","author":"Lindberger Karl","year":"1999","unstructured":"Karl Lindberger. 1999. Balancing Quality of Service, Pricing and Utilisation in Multiservice Networks with Stream and Elastic Traffic. Teletraffic Science and Engineering (1999)."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3341302.3342076"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2934872.2934906"},{"key":"e_1_3_2_1_43_1","volume-title":"Advances in NeurIPS","volume":"31","author":"Lucic Mario","year":"2018","unstructured":"Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, and Olivier Bousquet. 2018. Are GANs Created Equal? A Large-scale Study. Advances in NeurIPS, Vol. 31 (2018)."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00567"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3618257.3624808"},{"key":"e_1_3_2_1_46_1","volume-title":"International conference on machine learning. PMLR, 3481--3490","author":"Mescheder Lars","year":"2018","unstructured":"Lars Mescheder, Andreas Geiger, and Sebastian Nowozin. 2018. Which Training Methods for GANs do actually Converge?. In International conference on machine learning. PMLR, 3481--3490."},{"key":"e_1_3_2_1_47_1","unstructured":"Meta. 2024. Meta Llama 3. https:\/\/llama.meta.com\/llama3. (2024)."},{"key":"e_1_3_2_1_48_1","unstructured":"Nokia Siemens Networks. 2016. Signaling is Growing 50% Faster than Data Traffic. http:\/\/goo.gl\/uwnRiO. (2016)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00284"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"crossref","unstructured":"Peter Phaal Sonia Panchen and Neil McKee. 2001. RFC3176: InMon Corporation's sFlow: A Method for Monitoring Traffic in Switched and Routed Networks. (2001).","DOI":"10.17487\/rfc3176"},{"key":"e_1_3_2_1_51_1","volume-title":"Proc. of USENIX NSDI.","author":"Pontarelli Salvatore","year":"2019","unstructured":"Salvatore Pontarelli, Roberto Bifulco, Marco Bonola, Carmelo Cascone, Marco Spaziani, Valerio Bruschi, Davide Sanvito, Giuseppe Siracusano, Antonio Capone, Michio Honda, et al. 2019. Flowblaze: Stateful Packet Processing in Hardware. In Proc. of USENIX NSDI."},{"key":"e_1_3_2_1_52_1","unstructured":"Alec Radford Karthik Narasimhan Tim Salimans Ilya Sutskever et al. 2018. Improving Language Understanding by Generative Pre-training. (2018)."},{"key":"e_1_3_2_1_53_1","unstructured":"Alec Radford Jeffrey Wu Rewon Child David Luan Dario Amodei Ilya Sutskever et al. 2019. Language Models are Unsupervised Multitask Learners. OpenAI blog Vol. 1 8 (2019) 9."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2017.93"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2018.12.012"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71617-4_6"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30484-3_56"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2024.110616"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/1012888.1005733"},{"key":"e_1_3_2_1_60_1","volume-title":"Advances in NeurIPS","volume":"30","author":"Srivastava Akash","year":"2017","unstructured":"Akash Srivastava, Lazar Valkov, Chris Russell, Michael U Gutmann, and Charles Sutton. 2017. Veegan: Reducing Mode Collapse in GANs using Implicit Variational Learning. Advances in NeurIPS, Vol. 30 (2017)."},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207181"},{"key":"e_1_3_2_1_62_1","volume-title":"Advances in NeurIPS","volume":"30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All You Need. Advances in NeurIPS, Vol. 30 (2017)."},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2009.2020830"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148946"},{"key":"e_1_3_2_1_65_1","volume-title":"Fahad Shahbaz Khan, and Joost van de Weijer","author":"Wang Yaxing","year":"2020","unstructured":"Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, and Joost van de Weijer. 2020. Minegan: Wffective Knowledge Transfer from GANs to Target Domains with Few Images. In Proc. of IEEE\/CVF CVPR. 9332--9341."},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_14"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.1145\/1140086.1140094"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"e_1_3_2_1_69_1","volume-title":"Advances in NeurIPS","volume":"32","author":"Xu Lei","year":"2019","unstructured":"Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, and Kalyan Veeramachaneni. 2019. Modeling Tabular Data using Conditional Gan. Advances in NeurIPS, Vol. 32 (2019)."},{"key":"e_1_3_2_1_70_1","volume-title":"STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models. arXiv preprint arXiv:2009.12740","author":"Xu Shengzhe","year":"2020","unstructured":"Shengzhe Xu, Manish Marwah, and Naren Ramakrishnan. 2020. STAN: Synthetic Network Traffic Generation using Autoregressive Neural Models. arXiv preprint arXiv:2009.12740 (2020)."},{"key":"e_1_3_2_1_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3230543.3230544"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/3597503.3639074"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544216.3544251"},{"key":"e_1_3_2_1_74_1","volume-title":"Advances in NeurIPS","volume":"32","author":"Yoon Jinsung","year":"2019","unstructured":"Jinsung Yoon, Daniel Jarrett, and Mihaela Van der Schaar. 2019. Time-series Generative Adversarial Networks. Advances in NeurIPS, Vol. 32 (2019)."},{"key":"e_1_3_2_1_75_1","volume-title":"Proc. of USENIX NSDI.","author":"Yu Minlan","year":"2013","unstructured":"Minlan Yu, Lavanya Jose, and Rui Miao. 2013. Software Defined Traffic Measurement with OpenSketch. In Proc. of USENIX NSDI."}],"event":{"name":"IMC '24: ACM Internet Measurement Conference","sponsor":["SIGMETRICS ACM Special Interest Group on Measurement and Evaluation","SIGCOMM ACM Special Interest Group on Data Communication"],"location":"Madrid Spain","acronym":"IMC '24"},"container-title":["Proceedings of the 2024 ACM on Internet Measurement Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3646547.3688422","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3646547.3688422","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T11:51:26Z","timestamp":1755863486000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3646547.3688422"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,4]]},"references-count":75,"alternative-id":["10.1145\/3646547.3688422","10.1145\/3646547"],"URL":"https:\/\/doi.org\/10.1145\/3646547.3688422","relation":{},"subject":[],"published":{"date-parts":[[2024,11,4]]},"assertion":[{"value":"2024-11-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}