{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T15:40:18Z","timestamp":1783784418284,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":67,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T00:00:00Z","timestamp":1783209600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NSF","award":["OAC-2104023, OAC-2247060, OAC-2311875, OAC-2344717, OAC-2514036, OAC-2513768 and OAC-2609480,"],"award-info":[{"award-number":["OAC-2104023, OAC-2247060, OAC-2311875, OAC-2344717, OAC-2514036, OAC-2513768 and OAC-2609480,"]}]},{"name":"DOE","award":["DE-AC02-06CH11357"],"award-info":[{"award-number":["DE-AC02-06CH11357"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,7,6]]},"DOI":"10.1145\/3797905.3800524","type":"proceedings-article","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T11:50:37Z","timestamp":1782993037000},"page":"637-649","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["GPZ: GPU-Accelerated Lossy Compressor for Particle Data"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-5141-9815","authenticated-orcid":false,"given":"Ruoyu","family":"Li","sequence":"first","affiliation":[{"name":"Florida State University, Tallahassee, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7370-6766","authenticated-orcid":false,"given":"Yafan","family":"Huang","sequence":"additional","affiliation":[{"name":"University of Iowa, Iowa City, IA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3318-8059","authenticated-orcid":false,"given":"Longtao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Florida State University, Tallahassee, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3232-4963","authenticated-orcid":false,"given":"Zhuoxun","family":"Yang","sequence":"additional","affiliation":[{"name":"Florida State University, Tallahassee, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9935-5674","authenticated-orcid":false,"given":"Sheng","family":"Di","sequence":"additional","affiliation":[{"name":"The University of Chicago, Chicago, IL, USA and Argonne National Laboratory, Lemont, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8937-4067","authenticated-orcid":false,"given":"Boyuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Indiana University, Bloomington, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5092-3987","authenticated-orcid":false,"given":"Jiajun","family":"Huang","sequence":"additional","affiliation":[{"name":"University of South Florida, Tampa, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0177-502X","authenticated-orcid":false,"given":"Jinyang","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Houston, Houston, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1101-9148","authenticated-orcid":false,"given":"Jiannan","family":"Tian","sequence":"additional","affiliation":[{"name":"Oakland University, Rochester, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7773-7826","authenticated-orcid":false,"given":"Guanpeng","family":"Li","sequence":"additional","affiliation":[{"name":"University of Florida, Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7382-093X","authenticated-orcid":false,"given":"Fengguang","family":"Song","sequence":"additional","affiliation":[{"name":"Indiana University, Bloomington, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7776-1834","authenticated-orcid":false,"given":"Hanqi","family":"Guo","sequence":"additional","affiliation":[{"name":"The Ohio State University, Columbus, OH, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7890-3934","authenticated-orcid":false,"given":"Franck","family":"Cappello","sequence":"additional","affiliation":[{"name":"The University of Chicago, Chicago, IL, USA and Argonne National Laboratory, Lemont, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5328-3962","authenticated-orcid":false,"given":"Kai","family":"Zhao","sequence":"additional","affiliation":[{"name":"Florida State Unviersity, Tallahassee, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,7,5]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00939"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3712285.3759856"},{"key":"e_1_3_3_1_4_2","unstructured":"cuSZ: A GPU-Based Error-Bounded Lossy Compressor for Scientific Data. 2020. https:\/\/github.com\/szcompressor\/cuSZ. Online."},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"crossref","unstructured":"cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. 2024. https:\/\/github.com\/JLiu-1\/cusz-I. Online.","DOI":"10.1109\/SC41406.2024.00019"},{"key":"e_1_3_3_1_6_2","unstructured":"cuSZp2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio. 2024. https:\/\/github.com\/szcompressor\/cuSZp. Online."},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","unstructured":"Sheng Di Jinyang Liu Kai Zhao Xin Liang Robert Underwood Zhaorui Zhang Milan Shah Yafan Huang Jiajun Huang Xiaodong Yu Congrong Ren Hanqi Guo Grant Wilkins Dingwen Tao Jiannan Tian Sian Jin Zizhe Jian Daoce Wang Md\u00a0Hasanur Rahman Boyuan Zhang Shihui Song Jon Calhoun Guanpeng Li Kazutomo Yoshii Khalid Alharthi and Franck Cappello. 2025. A Survey on Error-Bounded Lossy Compression for Scientific Datasets. ACM Comput. Surv. 57 11 Article 287 (June 2025) 38\u00a0pages. 10.1145\/3733104","DOI":"10.1145\/3733104"},{"key":"e_1_3_3_1_8_2","unstructured":"Frontier: The OLCF\u2019s\u00a02021 exascale computer. 2018. https:\/\/www.olcf.ornl.gov\/2018\/02\/13\/frontier-olcfs-exascale-future\/. Online."},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS64566.2025.00083"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/CGO.2015.7054183"},{"key":"e_1_3_3_1_11_2","unstructured":"FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Data on GPUs. 2023. https:\/\/github.com\/szcompressor\/FZ-GPU. Online."},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451802"},{"key":"e_1_3_3_1_13_2","unstructured":"Google Draco. 2024. https:\/\/google.github.io\/draco. Online."},{"key":"e_1_3_3_1_14_2","unstructured":"GROMACS XTC Format. 2024. https:\/\/manual.gromacs.org\/archive\/5.0.4\/online\/xtc.html. Online."},{"key":"e_1_3_3_1_15_2","unstructured":"H5MD format specification version. [n. d.]. https:\/\/www.nongnu.org\/h5md\/h5md.html. Online."},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Salman Habib et\u00a0al. 2016. HACC: extreme scaling and performance across diverse architectures. Commun. ACM 60 1 (2016) 97\u2013104.","DOI":"10.1145\/3015569"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","unstructured":"Jun Han and Chaoli Wang. 2023. CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network. IEEE Transactions on Visualization and Computer Graphics 29 12 (2023) 4951\u20134963. 10.1109\/TVCG.2022.3197203","DOI":"10.1109\/TVCG.2022.3197203"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/2988336.2988355"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","unstructured":"Katrin Heitmann Derek Bingham Earl Lawrence Steven Bergner Salman Habib David Higdon Adrian Pope Rahul Biswas Hal Finkel Nicholas Frontiere and Suman Bhattacharya. 2016. THE MIRA\u2013TITAN UNIVERSE: PRECISION PREDICTIONS FOR DARK ENERGY SURVEYS. The Astrophysical Journal 820 2 (mar 2016) 108. 10.3847\/0004-637X\/820\/2\/108","DOI":"10.3847\/0004-637X\/820\/2\/108"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","unstructured":"Katrin Heitmann Thomas Uram Nicholas Frontiere Salman Habib Adrian Pope Silvio Rizzi and Joe Insley. 2024. The New Worlds Simulations: Large-scale Simulations across Three Cosmologies. (2024). 10.48550\/ARXIV.2406.07276","DOI":"10.48550\/ARXIV.2406.07276"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/SC41406.2024.00021"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581784.3607048"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","unstructured":"Martin Isenburg. 2013. LASzip: lossless compression of LiDAR data. Photogrammetric Engineering & Remote Sensing 79 (02 2013). 10.14358\/PERS.79.2.209","DOI":"10.14358\/PERS.79.2.209"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS47924.2020.00021"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","unstructured":"David Krasowska Julie Bessac Robert Underwood Jon\u00a0C. Calhoun Sheng Di and Franck Cappello. 2021. Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-7) (2021). 10.1109\/DRBSD754563.2021.00011","DOI":"10.1109\/DRBSD754563.2021.00011"},{"key":"e_1_3_3_1_26_2","unstructured":"LAS Specification 1.4 - R15. [n. d.]. https:\/\/paulbourke.net\/dataformats\/laz\/LAS_1_4_r15.pdf. Online."},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS54959.2023.00104"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"publisher","unstructured":"Xin Liang Ben Whitney Jieyang Chen Lipeng Wan Qing Liu Dingwen Tao James Kress David Pugmire Matthew Wolf Norbert Podhorszki and Scott Klasky. 2022. MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. IEEE Trans. Comput. 71 7 (2022) 1522\u20131536. 10.1109\/TC.2021.3092201","DOI":"10.1109\/TC.2021.3092201"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"crossref","unstructured":"Peter Lindstrom. 2014. Fixed-rate compressed floating-point arrays. IEEE Transactions on Visualization and Computer Graphics 20 12 (2014) 2674\u20132683.","DOI":"10.1109\/TVCG.2014.2346458"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/SC41406.2024.00019"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/3731545.3731592"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","unstructured":"Duane Merrill and Andrew Grimshaw. 2011. High performance and scalable radix sorting: A case study of implementing dynamic parallelism for GPU computing. Parallel Processing Letters 21 02 (2011) 245\u2013272. 10.1142\/S0129626411000187","DOI":"10.1142\/S0129626411000187"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","unstructured":"Sparsh Mittal. 2017. A Survey of Techniques for Architecting and Managing GPU Register File. IEEE Transactions on Parallel and Distributed Systems 28 1 (2017) 16\u201328. 10.1109\/TPDS.2016.2546249","DOI":"10.1109\/TPDS.2016.2546249"},{"key":"e_1_3_3_1_34_2","unstructured":"MPEG G-PCC. 2024. https:\/\/github.com\/MPEGGroup\/mpeg-pcc-tmc13. Online."},{"key":"e_1_3_3_1_35_2","unstructured":"MPEG V-PCC. 2024. https:\/\/github.com\/MPEGGroup\/mpeg-pcc-tmc2. Online."},{"key":"e_1_3_3_1_36_2","unstructured":"NVIDIA. 2024. Floating-Point on NVIDIA GPU (CUDA 12.4 Archived Version). https:\/\/docs.nvidia.com\/cuda\/archive\/\/12.4.0\/pdf\/Floating_Point_on_NVIDIA_GPU.pdf. Archived CUDA 12.4 PDF accessed 2025-08-16."},{"key":"e_1_3_3_1_37_2","unstructured":"NVIDIA. 2025. cub::BlockRadixSort Class \u2014 CUB Documentation. https:\/\/nvidia.github.io\/cccl\/cub\/api\/classcub_1_1BlockRadixSort.html. Accessed: 2025-08-17."},{"key":"e_1_3_3_1_38_2","volume-title":"CUDA C++ Best Practices Guide","year":"2025","unstructured":"NVIDIA. 2025. CUDA C++ Best Practices Guide. https:\/\/docs.nvidia.com\/cuda\/cuda-c-best-practices-guide\/"},{"key":"e_1_3_3_1_39_2","unstructured":"ORNL Summit supercomputer. 2021. https:\/\/www.olcf.ornl.gov\/summit\/. Online."},{"key":"e_1_3_3_1_40_2","unstructured":"The Waymo Driver Handbook:\u00a0How our highly-detailed maps help unlock new locations for\u00a0autonomous driving. 2020. https:\/\/waymo.com\/blog\/2020\/09\/the-waymo-driver-handbook-mapping\/."},{"key":"e_1_3_3_1_41_2","unstructured":"PFPL: a guaranteed-error bound lossy compressor\/decompressor that produces bit-for-bit identical files on CPUs and GPUs. 2025. https:\/\/github.com\/burtscher\/PFPL. Online."},{"key":"e_1_3_3_1_42_2","unstructured":"Baidu Apollo: Open Autonomous\u00a0Driving Platform. 2024. https:\/\/en.apollo.auto\/."},{"key":"e_1_3_3_1_43_2","doi-asserted-by":"crossref","unstructured":"Steve Plimpton. 1995. Fast Parallel Algorithms for Short-Range Molecular Dynamics. J. Comput. Phys. 117 1 (1995) 1\u201319.","DOI":"10.1006\/jcph.1995.1039"},{"key":"e_1_3_3_1_44_2","doi-asserted-by":"publisher","unstructured":"Douglas Potter Joachim Stadel and Romain Teyssier. 2017. PKDGRAV3: beyond trillion particle cosmological simulations for the next era of galaxy surveys. Computational Astrophysics and Cosmology 4 1 (18 May 2017) 2. 10.1186\/s40668-017-0021-1","DOI":"10.1186\/s40668-017-0021-1"},{"key":"e_1_3_3_1_45_2","unstructured":"Congrong Ren Sheng Di Longtao Zhang Kai Zhao and Hanqi Guo. 2024. An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data. arxiv:https:\/\/arXiv.org\/abs\/2404.02826\u00a0[cs.IT] https:\/\/arxiv.org\/abs\/2404.02826"},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"publisher","unstructured":"Daniel\u00a0R. Roe and Bernard\u00a0R. Brooks. 2022. Quantifying the effects of lossy compression on energies calculated from molecular dynamics trajectories. Protein Science 31 12 (2022) e4511. 10.1002\/pro.4511 arXiv:https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/pro.4511","DOI":"10.1002\/pro.4511"},{"key":"e_1_3_3_1_47_2","unstructured":"Leica SPL100 Single Photon LiDAR\u00a0Data Sheet. 2024. https:\/\/leica-geosystems.com\/en-us\/products\/airborne-systems\/topographic-lidar-sensors\/leica-spl100."},{"key":"e_1_3_3_1_48_2","unstructured":"Ouster OS0 Ultra-Wide View LiDAR\u00a0Data Sheet. 2024. https:\/\/ouster.com\/products\/hardware\/os0-lidar-sensor."},{"key":"e_1_3_3_1_49_2","unstructured":"HACC Outer\u00a0Rim simulation dataset. 2024. https:\/\/cosmology.alcf.anl.gov\/outerrim\/. Online."},{"key":"e_1_3_3_1_50_2","unstructured":"Aurora supercomputer\u00a0at ANL. [n. d.]. https:\/\/press3.mcs.anl.gov\/aurora\/. Online."},{"key":"e_1_3_3_1_51_2","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS.2017.115"},{"key":"e_1_3_3_1_52_2","doi-asserted-by":"crossref","unstructured":"Nikola Tchipev et\u00a0al. 2019. TweTriS: Twenty trillion-atom simulation. The International Journal of High Performance Computing Applications 33 5 (2019) 838\u2013854.","DOI":"10.1177\/1094342018819741"},{"key":"e_1_3_3_1_53_2","doi-asserted-by":"publisher","DOI":"10.1145\/3410463.3414624"},{"key":"e_1_3_3_1_54_2","unstructured":"USGS 3D Elevation Program. 2024. https:\/\/www.usgs.gov\/3d-elevation-program. Online."},{"key":"e_1_3_3_1_55_2","doi-asserted-by":"crossref","unstructured":"David Van Der\u00a0Spoel Erik Lindahl Berk Hess Gerrit Groenhof Alan\u00a0E Mark and Herman\u00a0JC Berendsen. 2005. GROMACS: fast flexible and free. Journal of computational chemistry 26 16 (2005) 1701\u20131718.","DOI":"10.1002\/jcc.20291"},{"key":"e_1_3_3_1_56_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-803738-6.00015-X"},{"key":"e_1_3_3_1_57_2","volume-title":"Understanding Latency Hiding on GPUs","author":"Volkov Vasily","year":"2016","unstructured":"Vasily Volkov. 2016. Understanding Latency Hiding on GPUs. Technical Report UCB\/EECS-2016-143. Electrical Engineering and Computer Sciences, University of California at Berkeley. http:\/\/www.eecs.berkeley.edu\/Pubs\/TechRpts\/2016\/EECS-2016-143.html Accessed: 2025-08-16."},{"key":"e_1_3_3_1_58_2","unstructured":"WarpX. 2024. https:\/\/ecp-warpx.github.io\/. Online."},{"key":"e_1_3_3_1_59_2","doi-asserted-by":"publisher","unstructured":"Bowen Wu Dimitrios Koutsoukos and Gustavo Alonso. 2025. Efficiently Processing Joins and Grouped Aggregations on GPUs. Proc. ACM Manag. Data 3 1 Article 39 (Feb. 2025) 27\u00a0pages. 10.1145\/3709689","DOI":"10.1145\/3709689"},{"key":"e_1_3_3_1_60_2","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPS64566.2025.00040"},{"key":"e_1_3_3_1_61_2","unstructured":"Rongchao Xu Kunlin Cai Lin Jiang Dahai Yu Zhiqing Hong Yuan Tian and Guang Wang. 2025. GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2510.07735 (2025)."},{"key":"e_1_3_3_1_62_2","doi-asserted-by":"publisher","DOI":"10.1145\/3731545.3731578"},{"key":"e_1_3_3_1_63_2","doi-asserted-by":"publisher","DOI":"10.1145\/3502181.3531473"},{"key":"e_1_3_3_1_64_2","doi-asserted-by":"publisher","DOI":"10.1145\/3588195.3592994"},{"key":"e_1_3_3_1_65_2","doi-asserted-by":"publisher","unstructured":"Longtao Zhang Ruoyu Li Congrong Ren Sheng Di Jinyang Liu Jiajun Huang Robert Underwood Pascal Grosset Dingwen Tao Xin Liang Hanqi Guo Franck Cappello and Kai Zhao. 2025. LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. Proc. ACM Manag. Data 3 1 Article 50 (Feb. 2025) 27\u00a0pages. 10.1145\/3709700","DOI":"10.1145\/3709700"},{"key":"e_1_3_3_1_66_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00145"},{"key":"e_1_3_3_1_67_2","doi-asserted-by":"publisher","DOI":"10.1145\/3369583.3392688"},{"key":"e_1_3_3_1_68_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00007"}],"event":{"name":"ICS '26: 2026 International Conference on Supercomputing","location":"Belfast United Kingdom","acronym":"ICS '26","sponsor":["SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing","SIGARCH ACM Special Interest Group on Computer Architecture"]},"container-title":["Proceedings of the 40th ACM International Conference on Supercomputing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3797905.3800524","content-type":"text\/html","content-version":"vor","intended-application":"syndication"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T13:07:45Z","timestamp":1782997665000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3797905.3800524"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,5]]},"references-count":67,"alternative-id":["10.1145\/3797905.3800524","10.1145\/3797905"],"URL":"https:\/\/doi.org\/10.1145\/3797905.3800524","relation":{},"subject":[],"published":{"date-parts":[[2026,7,5]]},"assertion":[{"value":"2026-07-05","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}