[{"name":"S2-2502792","title":"LS from RAN WG1: Reply LS on data collection to enable ML model training and inference in 5GC for Direct AI\/ML based positioning","source":"RAN WG1","contact":"Yufei Blankenship","contact-id":59257,"tdoctype":"LS in","for":"Information","abstract":"RAN WG1 thanks SA WG2 for the LS on data collection to enable ML model training and inference in 5GC for direct AI\/ML based positioning. RAN WG1 would like to provide the responses to the following questions in SA WG2 LS (S2-2405833) based on RAN WG1 progress up to RAN WG1#117 meeting. {. . .}. Furthermore, RAN WG1 would like to notify SA WG2 of the following: (a) RAN WG1 is still working on further details of training data collection and model inference of Case 3b and 2b. RAN WG1 may provide additional input to SA WG2 in the future. (b) For the related RAN work item (NR_AIML_air), Rel-19 WID (RP-240774) has assigned Case 3b 1st priority, and Case 2b 2nd priority. (c) Note: in RAN WG1 agreement, 'AI\/ML based positioning' by itself refers to all positioning cases, including Case 3b and 2b. (d) Note: the working assumptions and agreements above are based on RAN WG1 understanding for RAN work item (NR_AIML_air). Action: RAN WG1 respectfully asks SA WG2 to take the above into account in their future work.","secretary_remarks":"Revision of S2-2501357. Not Handled. Postponed.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20480,"status":"postponed","reservation_date":"2025-03-22 07:08:22","uploaded":"2025-03-22 07:54:36","revisionof":"S2-2501357","revisedto":"S2-2504568","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"RAN WG2, RAN WG3.","lsoriginalls":"R1-2405578","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502792.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502793","title":"LS from RAN WG1: LS on signalling feasibility of dataset and parameter sharing","source":"RAN WG1","contact":"Taesang Yoo","contact-id":47135,"tdoctype":"LS in","for":"Information","abstract":"The Rel-19 two-sided AI\/ML CSI compression study for AI\/ML Air Interface has the following study objectives (RP-242399; revision of RP-240774) {. . .}","secretary_remarks":"Revision of S2-2501364. Not Handled. Postponed.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20460,"status":"postponed","reservation_date":"2025-03-22 07:08:22","uploaded":"2025-03-22 07:54:36","revisionof":"S2-2501364","revisedto":"S2-2504569","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2","Cc":"SA WG2, SA WG3","lsoriginalls":"R1-2410922","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502793.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502802","title":"LS from RAN WG2: Reply LS to SA WG2 on LMF-based AI\/ML Positioning for Case 2b","source":"RAN WG2","contact":"Boubacar Kimba dit Adamou","contact-id":56689,"tdoctype":"LS in","for":"Action","abstract":"RAN WG2 thanks SA WG2 for the liaison in R2-2500062 [S2-2501133] to inform about the progress on LMF-involved AI\/ML positioning case 2b. Regarding the inquiry by SA WG2 to provide current progress and future work plans, RAN WG2 has discussed the liaison, and RAN WG2 would like to provide the following feedback: - Current progress: As per WID RP-243244, LMF-based AI\/ML Positioning for Case 2a and Case 2b are second priority use cases, RAN WG2 has not made any discussion or agreement on Case 2a and Case 2b. - RAN WG2 future work plan: RAN WG2 does not have any plan to work on Case 2a and Case 2b in Rel-19. Action: RAN WG2 kindly asks SA WG2 to take the above feedback for AI\/ML positioning use cases into account.","secretary_remarks":"Revision of S2-2501387. Noted in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20020,"status":"noted","reservation_date":"2025-03-22 07:08:23","uploaded":"2025-03-22 07:54:36","revisionof":"S2-2501387","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"RAN WG1, RAN WG3","lsoriginalls":"R2-2501507","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502802.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502816","title":"LS from CT WG4: LS on Questions on stage 2 requirements for AIML_CN","source":"CT WG4","contact":"Mamdoh Shahin","contact-id":96517,"tdoctype":"LS in","for":"Action","abstract":"CT WG4 would appreciate SA WG2 insights on a few questions related to data collection from NRF and OAM. {. . .} Action: CT WG4 kindly asks SA WG2 group to answer CT WG4 questions.","secretary_remarks":"Responses drafted in S2-2503248, S2-2503283. Not Handled. Postponed.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20410,"status":"postponed","reservation_date":"2025-03-22 07:08:23","uploaded":"2025-03-22 13:14:35","revisionof":"","revisedto":"S2-2504575","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"CT WG3","lsoriginalls":"C4-250630","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502816.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502818","title":"LS from RAN WG1: Reply LS on LMF-based AI\/ML Positioning for Case 2b","source":"RAN WG1","contact":"Huaming Wu","contact-id":79776,"tdoctype":"LS in","for":"Action","abstract":"RAN WG1 thanks SA WG2 for the LS on LMF-based AI\/ML Positioning for Case 2b. RAN WG1 would like to provide the following agreements and working assumptions reached up to RAN WG1#119 related to Case 2b as response to SA WG2 on data types and procedures, with reference to RAN WG1 chairman notes for each. {. .} RAN WG1 may provide additional input in the future to SA WG2 for Case 2b if any new agreement reached in RAN WG1. Action: RAN WG1 kindly asks SA WG2 to take the above answer into consideration in future work.","secretary_remarks":"Noted in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20030,"status":"noted","reservation_date":"2025-03-22 07:08:23","uploaded":"2025-03-22 13:14:35","revisionof":"","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"RAN WG2","lsoriginalls":"R1-2501523","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502818.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502819","title":"LS from RAN WG1: Reply LS on LMF-based AI\/ML Positioning for Case 3b","source":"RAN WG1","contact":"Florent Munier","contact-id":46491,"tdoctype":"LS in","for":"Action","abstract":"RAN WG1 thanks SA WG2 for the LS on LMF-based AI\/ML Positioning for Case 3b. RAN WG1 would like to provide the following agreements and working assumptions reached up to RAN WG1#119 related to Case 3b as response to SA WG2 on data types, with reference to RAN WG1 chairman notes for each. {. . .} RAN WG1 would continue work and may provide additional input in the future to SA WG2 for Case 3b if any new agreement reached in RAN WG1. Action: RAN WG1 respectfully asks SA WG2 to take the above reply into account for their future work.","secretary_remarks":"Noted in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20070,"status":"noted","reservation_date":"2025-03-22 07:08:23","uploaded":"2025-03-22 13:14:35","revisionof":"","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"RAN WG2","lsoriginalls":"R1-2500389","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502819.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502826","title":"LS from RAN WG3: Reply LS on LMF-based AI\/ML Positioning for case 3b","source":"RAN WG3","contact":"Jiajun Chen","contact-id":84462,"tdoctype":"LS in","for":"Action","abstract":"RAN WG3 thanks SA WG2 for the reply LS on LMF-based AI\/ML Positioning for case 3b in R3-250074\/ S2-2501341. The feedback from RAN WG3's perspective is provided separately for each of the following Editor's Notes. {. .} The corresponding updates on NRPPa Measurement procedures will be available when the Rel-19 TS 38.455 is published. Action: RAN WG3 kindly asks SA WG2 to take information above into account.","secretary_remarks":"Postponed in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20080,"status":"postponed","reservation_date":"2025-03-22 07:08:23","uploaded":"2025-03-22 13:14:35","revisionof":"","revisedto":"S2-2504577","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"RAN WG1","lsoriginalls":"R3-250796","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502826.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502840","title":"LS from SA WG5: Reply LS on ML Model provisioning by OAM to LMF for UE positioning","source":"SA WG5","contact":"Hassan Al-kanani","contact-id":47274,"tdoctype":"LS in","for":"Action","abstract":"SA WG5 thanks SA WG2 for the LS on ML Model provisioning by OAM to LMF for UE positioning in document S2-2412890. SA WG5 has concluded the following answers for the questions of the LS as below: {. .} Action: SA WG5 kindly asks SA WG2 to take the SA WG5's reply above into consideration and welcomes further cooperation on the provision of ML Model for UE positioning.","secretary_remarks":"Responses drafted in S2-2502857, S2-2503227, S2-2503340. Final response in S2-2504197.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19850,"status":"replied to","reservation_date":"2025-03-22 07:08:23","uploaded":"2025-03-22 13:14:35","revisionof":"","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"","lsoriginalls":"S5-250826","lsreply":"S2-2504197","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502840.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502841","title":"LS from SA WG5: Reply LS on AI\/ML UE sided data collection","source":"SA WG5","contact":"Yizhi Yao","contact-id":66963,"tdoctype":"LS in","for":"Information","abstract":"SA WG5 would like to thank TSG RAN for their LS in RP-243316 on AI\/ML UE sided data collection. SA WG5 has discussed the questions about the feasibility for transfer of data over UP for Solution 3 (UE-> gNB->OAM -> Server). SA WG5 has made the following analysis about the termination points of the UP tunnel for this solution: {. . .}","secretary_remarks":"Not Handled. Postponed.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20470,"status":"postponed","reservation_date":"2025-03-22 07:08:24","uploaded":"2025-03-22 13:14:35","revisionof":"","revisedto":"S2-2504579","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG RAN","Cc":"TSG SA, SA WG2","lsoriginalls":"S5-250828","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502841.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502857","title":"[DRAFT] Reply LS on ML Model provisioning by OAM to LMF for UE positioning","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"LS out","for":"Approval","abstract":"To: SA WG5. Attachments: S2-2502818\/S2-2502819","secretary_remarks":"Response to S2-2502840. Revised in parallel session to S2-2503963.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19860,"status":"revised","reservation_date":"2025-03-24 08:55:04","uploaded":"2025-03-27 08:43:52","revisionof":"","revisedto":"S2-2503963","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502857.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502858","title":"LMF re-selection based on AI capability","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: More comprehensive description in step 5 of clause 6.4 on LMF change. Add some description that the source LMF may send a indication of AIML based positioning to the re-selected target LMF to enable the target LMF do positioning using ML Model. Alignment change in clause 4.3.12.","secretary_remarks":"Confirm Specification Number - CR states 23.273! Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20660,"status":"not treated","reservation_date":"2025-03-24 08:55:04","uploaded":"2025-03-27 08:43:52","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1406.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502858.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502859","title":"Clarifications on the time interval supporting VFL","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a note saying that the time interval Supporting VFL is the time interval support both VFL training and VFL inference. Formatting corrections.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20740,"status":"not treated","reservation_date":"2025-03-24 08:55:05","uploaded":"2025-03-27 08:42:22","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1407.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502859.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502860","title":"Clarifications on VFL inference","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the VFL inference filter is derived form Analytics filter and can be equivalent. Calrify that the target of VFL inference is derived from target of analytics reporting and can be equivalent. Editorial modifications.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20850,"status":"not treated","reservation_date":"2025-03-24 08:55:05","uploaded":"2025-03-27 08:42:22","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1408.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502860.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502861","title":"General maintenance of KI#1","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Delete Note 3 in clause 7.1.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20670,"status":"not treated","reservation_date":"2025-03-24 08:55:06","uploaded":"2025-03-27 08:40:41","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1409.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502861.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502862","title":"General maintenance of KI#4","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding agreed data collection source of NWDAF.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20940,"status":"not treated","reservation_date":"2025-03-24 08:55:07","uploaded":"2025-03-27 08:40:41","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1410.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502862.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502863","title":"Optimization of VFL triggers","source":"ZTE, Huawei, Hisilicon, vivo, OPPO","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce the time negotiation mechanism before the starts of VFL training and inference. Add Analytics ID, VFL correlation ID, VFL server AF ID in the VFL training complete message of case A. Wording improvements and Editorial corrections.","secretary_remarks":"Revised in parallel session to S2-2503970.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20160,"status":"revised","reservation_date":"2025-03-24 08:55:08","uploaded":"2025-03-28 07:31:05","revisionof":"","revisedto":"S2-2503970","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1411.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502863.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502864","title":"Output parameters clarifications in KI#3","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify note 5 and table heading say it is a statistical data, not a prediction data","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20910,"status":"not treated","reservation_date":"2025-03-24 08:55:09","uploaded":"2025-03-27 08:38:56","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1412.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502864.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502865","title":"VFL clients removal during VFL training","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the server may request some or all of the clients leave VFL training process or stop the whole VFL training process, base on the reported sample loss information and can not response on time indication.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20810,"status":"not treated","reservation_date":"2025-03-24 08:55:10","uploaded":"2025-03-27 08:38:56","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1413.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502865.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502866","title":"VFL high level description refinements","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Terminology alignment, wording improvement of high level description of VFL. Add note saying that the VFL correlation ID needs to be unique among VFL processes. Change the wording of accuracy monitoring of VFL server. Editorial changes.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20750,"status":"not treated","reservation_date":"2025-03-24 08:55:10","uploaded":"2025-03-27 08:38:56","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1414.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502866.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502867","title":"LMF re-selection based on AI capability","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add LMF AIML positioning capability in the NF profile of LMF.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20710,"status":"not treated","reservation_date":"2025-03-24 08:55:11","uploaded":"2025-03-27 08:36:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.3.0","workitem":[{"winame":"AIML_CN"}],"crnumber":6164.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502867.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502868","title":"LMF re-selection based on AI capability","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add LMF AI positioning capability to related NRF services.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20720,"status":"not treated","reservation_date":"2025-03-24 08:55:12","uploaded":"2025-03-27 08:36:42","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.3.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5379.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502868.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502899","title":"KI#1: Considering RAN load when collecting data to train model for positioning","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The LMF may subscribe at an NWDAF for Network Performance Analytics to select times for data collection when NG-RAN is not experiencing extensive load. The LMF may also subscribe at the AMF to RAN overload information in the area where data are to be collected and refrain from data collection when being notified of a RAN overload.","secretary_remarks":"Revision of (Unhandled) S2-2501476. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20610,"status":"not treated","reservation_date":"2025-03-25 18:22:55","uploaded":"2025-03-28 23:39:45","revisionof":"S2-2501476","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":637.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502899.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502931","title":"Removal of requirements related to case 2b","source":"Vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove requirements related to case 2b, i.e., UE-assisted\/LMF-based positioning with LMF-side model.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20680,"status":"not treated","reservation_date":"2025-03-26 05:12:26","uploaded":"2025-03-28 10:36:25","revisionof":"","revisedto":"S2-2504779","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1415.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502931.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2E.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502932","title":"Removal of requirements related to case 2b","source":"Vivo, Xiaomi, ZTE, OPPO, Mediatek Inc., Samsung, Nokia","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove requirements related to case 2b, i.e., UE-assisted\/LMF-based positioning with LMF-side model.","secretary_remarks":"Revised in parallel session to S2-2503967.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20040,"status":"revised","reservation_date":"2025-03-26 05:12:28","uploaded":"2025-03-28 10:36:25","revisionof":"","revisedto":"S2-2503967","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":700.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502932.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":true,"ran_affected":false,"cn_affected":true,"clauses_affected":"3.1, 5.18.0, 5.18.2, 6.22.2 (void), 6.22.3, 6.22.4, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502933","title":"Update on input data collection by NWDAF for LMF-based AIML positioning","source":"ETRI","contact":"ChangSik Lee","contact-id":95981,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - NWDAF includes the 'purpose for data collection' in the procedure for input data collection from LMF in clause 6.22.4 - Modify Nlmf_DataExposure_Subscribe service operation to include 'purpose for data collection'","secretary_remarks":"Noted in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20120,"status":"noted","reservation_date":"2025-03-26 06:15:31","uploaded":"2025-03-27 09:20:30","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":701.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502933.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4, 8.3.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502934","title":"Corrections on input data for QoS and policy assistance analytics","source":"ETRI","contact":"ChangSik Lee","contact-id":95981,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add 'QoS Flow change' as an input data for QoS and policy assistance analytics to align with clause 5.2.8.3.1 of TS 23.502","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20920,"status":"not treated","reservation_date":"2025-03-26 06:45:23","uploaded":"2025-03-27 09:20:39","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1416.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502934.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502947","title":"Changes on user consent and privacy for AIML-based positioning","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"User consent and privacy updates for AI\/ML-based positioning","secretary_remarks":"Revised in parallel session to S2-2503965, merging S2-2503598","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19950,"status":"revised","reservation_date":"2025-03-26 11:58:59","uploaded":"2025-03-28 16:43:00","revisionof":"","revisedto":"S2-2503965","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":702.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502947.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.12.1, 5.18.0, 5.18.x (new), 6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502948","title":"Remaining aspects on user consent and privacy for AI\/ML-based positioning .","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"discussion","for":"Decision","abstract":"This discussion paper analyses the status of open issues for user consent and privacy for AI\/ML-based positioning in SA WG2 and proposes a way forward.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20510,"status":"not treated","reservation_date":"2025-03-26 12:02:34","uploaded":"2025-03-28 16:43:00","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2502948.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503030","title":"Remove EN on LMF's consideration of RAN load","source":"Samsung","contact":"Hyesung Kim","contact-id":83054,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove EN and add a NOTE","secretary_remarks":"Wrong WI code AIML_CN_Ph2 (should be AIML_CN)! Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20620,"status":"not treated","reservation_date":"2025-03-27 07:30:13","uploaded":"2025-03-28 13:32:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":704.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503030.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503110","title":"ML Model provisioning by OAM for LMF-based AI\/ML Positioning","source":"NTT DOCOMO, Ericsson","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Resolving the Editor's note on ML model provisioning by OAM for LMF-based AI\/ML positioning Adding a new clause to clarify the interaction between LMF and OAM","secretary_remarks":"Revised in parallel session to S2-2503964.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19910,"status":"revised","reservation_date":"2025-03-27 13:18:10","uploaded":"2025-03-28 10:37:00","revisionof":"","revisedto":"S2-2503964","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":705.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503110.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503111","title":"Exposure of control plane signalling information from NFs","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Specifying the control plane signalling information exposed by NFs - Unifying the term used for information about the control plane signallings exposed by NFs - Unified the explanation of the exposed information among different service operations","secretary_remarks":"Revision of (Unhandled) S2-2501995. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21010,"status":"not treated","reservation_date":"2025-03-27 13:21:44","uploaded":"2025-03-28 10:50:03","revisionof":"S2-2501995","revisedto":"S2-2504833","release":"Rel-19","crspec":"23.502","crspecversion":"19.3.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5238.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503111.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503119","title":"Correction of NF Signalling Information for Signalling Storm Analytics","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: NF signalling information is moved from Table 6.22.2-1 to a new Table 6.22.2-7","secretary_remarks":"Revision of (Unhandled) S2-2501996. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20950,"status":"not treated","reservation_date":"2025-03-27 13:23:54","uploaded":"2025-03-28 10:58:14","revisionof":"S2-2501996","revisedto":"S2-2504834","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1400.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503119.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503130","title":"Alignment of existing mechanisms for accuracy generation impacted by VFL procedures","source":"Huawei, HiSilicon, ZTE","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updating Clause 6.2D.2 to allow the NWDAF containing AnLF to trigger the VFl accuracy monitoring to support the selection of VFL Clients for the VFL Inference procedure and differentiate the calculation of analytics accuracy information when VFL inference is performed. Updating Clause 6.2E.2 to enable the VFL Server to trigger the VFL accuracy monitoring during VFL training. Updating Clause 6.2E.3.1 with a NOTE indicating that this procedure is not required in case of ML Model trained with VFL Training as VFL NWDAF containing AnLF and NWDAF containing MTLF are in this release of the specification the same VFL Server.","secretary_remarks":"Revised in parallel session to S2-2503972.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20230,"status":"revised","reservation_date":"2025-03-27 13:39:32","uploaded":"2025-03-28 09:38:36","revisionof":"","revisedto":"S2-2503972","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1417.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503130.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2D.2, 6.2E.2, 6.2E.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503131","title":"Clarification on registration and discovery for VFL","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Update the discovery and selection for NWDAF as VFL server or NWDAF as VFL client. 2. Update the discovery and selection for AF as VFL server or AF as VFL client. 3. Update the Registration and Discovery procedure for VFL.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20770,"status":"not treated","reservation_date":"2025-03-27 13:39:38","uploaded":"2025-03-28 09:38:36","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1418.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503131.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.5, 6.2H.2.1.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503134","title":"Correction on usage of signalling storm analytics for reliability of NF services","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the sentence of SCP actions regarding NF service reliability Some editorial updates in clause 5.21.3.3","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20990,"status":"not treated","reservation_date":"2025-03-27 13:48:38","uploaded":"2025-03-28 12:20:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.3.0","workitem":[{"winame":"AIML_CN"}],"crnumber":6184.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503134.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.21.3.3, 5.21.3.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503135","title":"Clarifying Signalling Storm Analytics","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify the analytics target and filter information","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20960,"status":"not treated","reservation_date":"2025-03-27 13:48:40","uploaded":"2025-03-28 12:20:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1419.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503135.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.1, 6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503136","title":"Adding SCP as data source for NWDAF data collection","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Editorial improvement on data channel procedures in clause 6.2 to supplement the description on SCP. Remove the redundant signalling description related to the SCP. Correct the numbering error of referred clause.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20970,"status":"not treated","reservation_date":"2025-03-27 13:48:41","uploaded":"2025-03-28 12:20:10","revisionof":"","revisedto":"S2-2504746","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1420.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503136.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.2.1, 6.2.2.2, 6.2.2.4, 6.2.2.5, 6.22.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503190","title":"LMF checking LCS privacy profile before collecting input data and ground truth","source":"Ericsson, AT&T","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove user consent checks at the LMF and replace them for the LMF checking the LCS privacy profile and related Editor s Notes for the user consent in relation with training and performance monitoring of a ML Model.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20520,"status":"not treated","reservation_date":"2025-03-27 16:04:27","uploaded":"2025-03-28 18:24:43","revisionof":"","revisedto":"S2-2504873","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":708.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503190.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.0, 5.18.2, 6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503191","title":"Resolution of Editor s Note based on RAN WG1 and RAN 3 LS replies.","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: These Editor s Notes are removed, the procedure for data collection from NG-RAN refers to NRPPa procedures when LMF collects data from NG-RAN. The Editor s Note related to the input data tht RAN WG1 defines are also removed, as these data are also part of the NRPPa signalling, as such a reference to NRPPA is considered sufficient.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20630,"status":"not treated","reservation_date":"2025-03-27 16:04:29","uploaded":"2025-03-28 18:24:43","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":709.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503191.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.0, 6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503193","title":"Update triggering Case A and some corrections and Resolving ENs for VFL","source":"Ericsson, China Telecom","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Added details how VFL will be handled in Contents of ML Model Provisioning, clause 6.2A.2 In Training procedures: Resolving the EN Editor's note: When the AnLF determine the VFL server AF is FFS. For example, during the training phase. by removing it since it is described that the VFL server is learned in Training procedure. Resolving EN Editor's note: Whether weight of the VFL Client is computed by VFL server is FFS. by keeping existing text on weights but making it a NOTE, since it only describes internals of the VFL server Resolving EN Editor's note: Whether VFL server and VFL clients share feature information is FFS. by removing it since no further feature information is to be shared Fixed errors in case A and C Fixing duplicated text of starting training via Analytics request by removing case D in training procedure, since same text is available in Inference procedure. The following NOTE is a duplicate of case A, so remove NOTE 4: VFL Server can determine to start the training based on local configuration and agreement among vendors and\/or application providers participating in the same group for specific VFL task(s). The content of Intermediate model training information is already stated in clause 6.2H.3 to not be specified. So two NOTES 2 and 4 in training procedure are removed together with some text on examples are removed from the procedure. Same with NOTE 8, which is removed since this info belongs better in clause 6.2H.3 In the termination request from Server to clients, removing 'the termination message contains VFL Correlation ID and may contain the intermediate model training information to each of the VFL clients'. VFL correlation ID is superfluous since each subscription will contain the VFL correlation ID, and it is enough just using the subscription correlation ID when doing unsubscribe. Also in unsubscribe usually no other information than subscription correlation ID is sent, and see no reason to extend that in this case. If Server would like to send 'the intermediate model training information to each of the VFL clients' after it has decided to terminate the VFL, it can do a last round using subscription request, followed by an unsubscribe. In Inference procedures: The Following NOTE in Inference procedure seems wrong since we have agreed on aggregating clients when untrusted AF is server. NOTE 2: In this Release, it is assumed that local intermediate inference is shared between VFL server and VFL client. So that NOTE is removed In clause 6.2H.3 Changing the heading to state services with a plural s Resolving EN Editor's note: Which parameters are optional, or mandatory is FFS, the list of parameters also needs to be extended. by adding a few parameters and also stating which ones are optional. The new parameters are VFL training iteration number, Feature ID and use case context. Since VFL has the use case context available from AnLF, it can be forwarded to support the clients to set-up the correct local model. Removing one duplicate parameter, namely VFL Interoperability Information Adding the parameters for the new services Naf_training and Nnef_Training In Service operation clauses: In clause 11.5.1 and 12.6.1 Resolving the ENs Editor s note: Parameters of the service operations are FFS and more will be added when procedures and content of services are agreed. by adding parameters Also resolving Editor s note: It is ffs whether this service is also provided by an AF acting as VFL server and enables a consumer to request VFL Training. by removing it, since we have agreed to use a new service for this.","secretary_remarks":"Revised in parallel session to S2-2503971.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20200,"status":"revised","reservation_date":"2025-03-27 16:04:30","uploaded":"2025-03-28 18:24:44","revisionof":"","revisedto":"S2-2503971","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1421.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503193.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2A.2; 6.2H.2.3.1; 6.2H.2.3.2; 6.2H.2.4.2; 6.2H.3; 7.5.2; 7.12.2; 11.5.1; 11.5.2; 12.6.1; 12.6.2; 11.2.1; 11.2.2; 12.2.1 and 12.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503194","title":"Selection of aggregating client in VFL","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: First Registration and Discovery procedure: When VFL process shall start only one VFL interoperability indicator is used, therefore removing plural indicators in Discovery, In same sentence also replacing explicitly mentioned optional parameters with parameters described in clause 5.2. Second Registration and Discovery procedure: Removed 'NWDAF as VFL client registers to NRF with its NF profile, it may include those analytics IDs on which it supports to do VFL with AF as VFL server.', since it seems to indicate some new type of registration, which is not the intention. Resolving following EN Editor's note: How the NEF assists the VFL training process as well as whether the service operations going via NEF is using the existing or new service operation are FFS. by adding how the aggregating client used in Training procedure is selected by the MNO through NEF in clause 6.2H.2.1.2.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20780,"status":"not treated","reservation_date":"2025-03-27 16:04:31","uploaded":"2025-03-28 18:24:44","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1422.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503194.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.1.1; 6.2H.2.1.2; 6.2H.2.3.1, 6.2H.2.3.2 and 12.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503215","title":"Discussion on UE LCS privacy check for ground truth data collection and input data storage for ML model training for AI\/ML positioning .","source":"Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"discussion","for":"Discussion","abstract":"This DP discusses UE LCS privacy check for ground truth data collection at LMF and corresponding proposal to resolve the issue with respect to ground truth data collection by LMF and storage at ADRF. Detailed procedures are in S2-2503216, S2-2503217.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20530,"status":"not treated","reservation_date":"2025-03-27 17:05:30","uploaded":"2025-03-28 21:25:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503215.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503216","title":"UE LCS privacy check for ground truth data collection and input data storage for ML model training for AI\/ML positioning","source":"Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: It is proposed to extend the NF that query to check the LCS privacy profile in UDM to include LMF. The LMF checks if the NWDAF is authorized to retrieve UE location based on the UE privacy profile stored as part of UE subscription data in the UDM. When authorized, the LMF sends the UE location data (ground truth data) to the NWDAF.","secretary_remarks":"Revised in parallel session to S2-2504172.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19970,"status":"revised","reservation_date":"2025-03-27 17:09:02","uploaded":"2025-03-28 21:25:51","revisionof":"","revisedto":"S2-2504172","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":710.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503216.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.12, 6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503217","title":"UE LCS privacy check for ground truth data collection","source":"Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Extend the NF that query to check the LCS privacy profile in UDM to include LMF.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20540,"status":"not treated","reservation_date":"2025-03-27 17:14:28","uploaded":"2025-03-28 21:25:51","revisionof":"","revisedto":"S2-2504992","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1423.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503217.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2E.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503218","title":"Input data storage in ADRF for ML model training for AI\/ML positioning","source":"Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: PLMN class operator client type in the UE LCS privacy profile to includes ADRF in the LCS client list.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20550,"status":"not treated","reservation_date":"2025-03-27 17:17:47","uploaded":"2025-03-28 21:25:51","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":711.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503218.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.1, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503219","title":"Update ADRF service consumer to include LMF","source":"Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update ADRF service consumer list to include LMF as a data management service consumer.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20690,"status":"not treated","reservation_date":"2025-03-27 17:20:40","uploaded":"2025-03-28 21:25:51","revisionof":"","revisedto":"S2-2504993","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1424.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503219.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2B.7, 10.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503227","title":"[DRAFT] Reply LS on ML Model provisioning by OAM to LMF for UE positioning","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"LS out","for":"Approval","abstract":"To: SA WG5. Attachments: Agreed CR 712 for TS 23.273.","secretary_remarks":"Response to S2-2502840. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19890,"status":"not treated","reservation_date":"2025-03-27 18:16:54","uploaded":"2025-03-28 23:39:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503227.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503229","title":"KI#1: ML Model training by OAM for LMF models for UE positioning","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The LMF may also request a trained ML model for LMF-based AI\/ML Positioning from OAM and OAM may provision such a model to the LMF by leveraging the ML model loading management capabilities specified in clause 7.3a.3 of TS 28.105 [x]. OAM may use the Nlmf_DataExposure service to obtain input data for related model training and model accuracy monitoring.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20490,"status":"not treated","reservation_date":"2025-03-27 18:33:31","uploaded":"2025-03-28 23:39:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":712.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503229.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503233","title":"Parameters from Analytics Request also required for VFL inference","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"An analysis which parameters from Analytics Request are also required for VFL inference is being provided.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20860,"status":"not treated","reservation_date":"2025-03-27 19:45:59","uploaded":"2025-03-28 23:39:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503233.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503234","title":"Parameters for vertical federated learning inference procedure","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add parameters as defined for the the analytics request (as defined in Clause 6.1.3 of TS 23.228) that cannot be handled by the VFL server alone but need to be forwarded to the VFL clients also to the VFL interence service. Also add the data time window as parameter to the service operations. Removed resolved ENs.","secretary_remarks":"Revised in parallel session to S2-2503973.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20250,"status":"revised","reservation_date":"2025-03-27 19:55:24","uploaded":"2025-03-28 23:39:45","revisionof":"","revisedto":"S2-2503973","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1425.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503234.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503235","title":"Parameters for vertical federated learning inference procedure","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add parameters as defined for the the analytics request (as defined in Clause 6.1.3 of TS 23.228) that cannot be handled by the the NWDAF sending an inference request to the AF acting as VFL server. Step 7 only applies for AF as VFL server case. Figure is updated to show only service operations related to AF as server in steps 1 and 7.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20870,"status":"not treated","reservation_date":"2025-03-27 20:13:24","uploaded":"2025-03-28 23:39:45","revisionof":"","revisedto":"S2-2504560","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1426.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503235.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503237","title":"Correcting triggers for VFL training","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Mistakes in the description of Training triggers for cases B and C are corrected. Figure is converted back to Visio and editorial issues are fixed.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20820,"status":"not treated","reservation_date":"2025-03-27 20:26:15","uploaded":"2025-03-28 23:39:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1427.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503237.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503240","title":"Correcting procedures for Exchanging intermediate results between VFL clients","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The VFL clients that contact other VFL clients for result sharing during VFL training and inference also perform the VFL client selection and the negotiation with those clients in the preparation phase. The result sharing betweem VFL clients is also applicable to the trusted AF as server and NWDAF as server cases.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20890,"status":"not treated","reservation_date":"2025-03-27 20:33:05","uploaded":"2025-03-28 23:39:45","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1428.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503240.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503242","title":"KI#2: VFL services","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define the following new services to support VFL: Nnwdaf_VflInference, Naf_VflTraining, Naf_VflInference, Nnef_VflTraining, Nnef_VflInference","secretary_remarks":"Revision of (Unhandled) S2-2501499. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20900,"status":"not treated","reservation_date":"2025-03-27 20:40:11","uploaded":"2025-03-28 23:39:45","revisionof":"S2-2501499","revisedto":"S2-2504561","release":"Rel-19","crspec":"23.501","crspecversion":"19.3.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5676.0,"crrevision":4.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503242.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503248","title":"[DRAFT] Reply LS on Questions on stage 2 requirements for AIML_CN","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"LS out","for":"Approval","abstract":"To: CT WG4. CC: CT WG3. Attachments: CR 1432 for TS 23.288, CR 5429 for TS 23.502","secretary_remarks":"Response to S2-2502816. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20420,"status":"not treated","reservation_date":"2025-03-27 20:57:49","uploaded":"2025-03-28 23:39:45","revisionof":"","revisedto":"S2-2504567","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"CT WG4","Cc":"CT WG3","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503248.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503250","title":"Updates on VFL inference","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Analytic service request to the VFL server is clarified and Note is changed into normative text.","secretary_remarks":"Revised in parallel session to S2-2503974.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20280,"status":"revised","reservation_date":"2025-03-27 21:03:22","uploaded":"2025-03-28 23:02:54","revisionof":"","revisedto":"S2-2503974","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1429.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503250.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503251","title":"Update on VFL training","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Service operation using NEF is resolved. Therefore, the following E.N. is not needed. Editor's note: How the NEF assists the VFL training process as well as whether the service operations going via NEF is using the existing or new service operation are FFS. During preparation phase, feature information are shared between VFL server and VFL clients. Therefore, the following E.N. is not needed during VFL training. Editor's note: Whether VFL server and VFL clients share feature information is FFS. In VFL training procedure, for step 8 and step 9, it needs further clarification for VFL training termination between successful training and training failure. NOTE 7 is updated as when VFL training failure, it shall be informed to all VFL Clients. When NEF is involved for VFL training for untrusted AF as VFL server, mapping of external NWDAF ID are stored and resued for VFL inference after successful VFL training.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20830,"status":"not treated","reservation_date":"2025-03-27 21:12:37","uploaded":"2025-03-28 23:02:54","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1430.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503251.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.3.1, 6.2H.2.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503252","title":"Updates on VFL preparation","source":"Interdigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: It clarifies that VFL clients may evaluate UE's status if needed and NEF may perform sample intersection when 3rd party AF is involved as VFL server.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20790,"status":"not treated","reservation_date":"2025-03-27 21:18:00","uploaded":"2025-03-28 23:02:54","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1431.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503252.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.2.1, 6.2H.2.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503253","title":"AIML_CN KI#4 Resolve issues for event exposure and for SCP mitigation actions","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Confirm tentative text for SCP mitigation actions in ENs that are supported by CT WG4 procedures. 2. Resolve Issues raided by CT WG4 by removing the following input parameters in the Nnrf_NFManagement_NFStatusSubscribe service operation: - NF load status information, capacity and priority information of NF and NF Services, etc as described in Table 6.22.2-2 and Table 6.22.2-5 of TS 23.288 [50]. 3. SCP event exposure in clause 5.2.29.2.1 can target specific NF service instances. Reported 'request type' relates to NF service instance if available and otherwise NF service name. 4. Fix identing in clause 5.2.29.2.1 to clarify that a single event is being defined.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20450,"status":"not treated","reservation_date":"2025-03-27 21:20:18","uploaded":"2025-03-28 23:39:45","revisionof":"","revisedto":"S2-2504584","release":"Rel-19","crspec":"23.502","crspecversion":"19.3.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5420.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503253.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503255","title":"AIML_CN KI#4 Resolve issues for event exposure","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Remove Note that no input data to be collected from PCF are defined. 2. Remove Note from Table 6.22.2-5 that the information not available from OAM can be exposed by the NRF. 3. Clarify in Table 6.22.2-2 which information is part of the NF profile and remove remove requirements for the SCP to expose information about PU loads, capacity and priorioty of other NFs. 4. Clarify in Table 6.22.2-1 that Request type designates a NF service instance when available and otherwise NF service name. 5. Indicate for all IEs in Table 6.22.2-1 which can be reported by the SCP event exposure service that the SCP can be the input data source.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20440,"status":"not treated","reservation_date":"2025-03-27 21:45:39","uploaded":"2025-03-28 23:39:45","revisionof":"","revisedto":"S2-2504583","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1432.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503255.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503282","title":"CR for 23.501 AIML_CN SCP related alignment","source":"Vivo","contact":"Li Hu","contact-id":104884,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Alignment with new defined SCP services.","secretary_remarks":"Revision of (Unhandled) S2-2501761. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21000,"status":"not treated","reservation_date":"2025-03-28 01:48:26","uploaded":"2025-03-28 10:07:30","revisionof":"S2-2501761","revisedto":"S2-2504785","release":"Rel-19","crspec":"23.501","crspecversion":"19.3.0","workitem":[{"winame":"AIML_CN"}],"crnumber":6108.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503282.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.2.3, 4.2.6, 4.2.7, 7.2.30","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503283","title":"[DRAFT] Reply LS on Questions on stage 2 requirements for AIML_CN","source":"vivo","contact":"Li Hu","contact-id":104884,"tdoctype":"LS out","for":"Approval","abstract":"To: CT WG4. CC: CT WG3","secretary_remarks":"Response to S2-2502816. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20430,"status":"not treated","reservation_date":"2025-03-28 01:48:27","uploaded":"2025-03-28 10:07:30","revisionof":"","revisedto":"S2-2504783","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"CT WG4","Cc":"CT WG3","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503283.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503319","title":"Editor s Note clean up for the VFL","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove all the Editor's note related to the VFL. Add one sentence to clarify NWDAF containing AnLF determine the VFL server AF during the VFL training phase as described in the clause 6.2H.2.3.2.","secretary_remarks":"Revised in parallel session to S2-2503969.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20130,"status":"revised","reservation_date":"2025-03-28 03:19:50","uploaded":"2025-03-28 10:16:19","revisionof":"","revisedto":"S2-2503969","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1433.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503319.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.1, 6.2H.2.2.2, 6.2H.2.3.1, 6.2H.2.3.2, 6.2H.2.4.1, 6.2H.2.4.2, 6.2H.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503340","title":"[DRAFT] Reply LS on ML Model provisioning by OAM to LMF for UE positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"LS out","for":"Approval","abstract":"It proposes to provide input regarding the data collection mechanisms defined in SA WG2.","secretary_remarks":"Response to S2-2502840. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19900,"status":"not treated","reservation_date":"2025-03-28 05:22:28","uploaded":"2025-03-28 12:20:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503340.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503341","title":"Update of ML model retrieval from OAM","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the following EN, and add reference to SA WG5 specification for ML model retrieval from OAM. Editor's note: Whether LMF can retrieve ML model from OAM needs confirmation from SA WG5.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20500,"status":"not treated","reservation_date":"2025-03-28 05:22:29","uploaded":"2025-03-28 12:20:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":713.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503341.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"2, 4.3.8","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503342","title":"Update of input data and procedure for LMF-based AIML positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Remove the following ENs: Editor's note: What input data collected from UE and NG-RAN to LMF for LMF-based AI\/ML Positioning will be determined by RAN WG1. How to collect the input data for LMF-based AI\/ML Positioning calculation need coordination with RAN WGs. Editor's note: The types of LMF-based AI\/ML positioning model (e.g., per positioning case) is FFS, which needs to be coordinated with RAN WGs. Editor's note: The collected input data for LMF-based AI\/ML Positioning model training will be determined by RAN WG1. How to collect the input data for LMF-based AI\/ML Positioning model training need coordination with RAN WGs. Editor's note: The procedure to collect the input data for AI\/ML based positioning calculation by the LMF from the NG-RAN is subject to RAN WG progress and feedback. Editor's note: Whether and how the LMF takes the RAN load into account in this procedure is FFS. Editor's note: The input data used for LMF-based AI\/ML Positioning will be decided by RAN WGs. Editor's note: The data samples used for LMF-based AI\/ML Positioning will be decided by RAN WGs. 2. Remove clause 6.22.2, and update the step 7 and step 11 of clause 6.22.3. 3. Remove positioning case information and data source type related descriptions.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20600,"status":"not treated","reservation_date":"2025-03-28 05:22:29","uploaded":"2025-03-28 12:20:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":714.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503342.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.0, 6.22.2, 6.22.3, 6.22.4, 8.3.4.2, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503343","title":"Update the procedure of data collection from NG-RAN","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Change the 'Nlmf_Location_MeasurementData Request' in step 2 to 'Nlmf_DataExposure_Subscribe'. 2. Clarify that the steps 3-11 will be skipped when the LMF collects the data of PRUs from other PRU serving LMFs. 3. Other editorial changes.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20640,"status":"not treated","reservation_date":"2025-03-28 05:22:30","uploaded":"2025-03-28 12:20:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":715.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503343.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503344","title":"Updates of NWDAF discovery and ML model provisioning for LMF-based AI\/ML Positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the following EN, and remove the positioning case information for NWDAF registration and discovery. Editor's note: Whether the AI\/ML positioning model needs to be trained per case (i.e. case 2b, case 3b) is FFS, this needs coordination with RAN WGs. Update the parameters of Nnwdaf_MLModelProvision and Nnwdaf_MLModelInfo services operations based on TS 23.273. Change the name of indication to LMF-based AI\/ML positioning indication to align with TS 23.501 and TS 23.502.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20700,"status":"not treated","reservation_date":"2025-03-28 05:22:31","uploaded":"2025-03-28 12:20:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1434.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503344.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2A.1, 6.2A.2, 6.2A.3, 7.5.2, 7.5.4, 7.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503345","title":"Corrections of LMF-based AI\/ML positioning indication","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add LMF-based AI\/ML positioning indication and its purpose for NWDAF discovery. Editorial modifications.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20580,"status":"not treated","reservation_date":"2025-03-28 05:22:31","uploaded":"2025-03-28 12:20:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":716.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503345.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.0","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503347","title":"Correction on VFL correlation ID handling","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Move the AF action above from preparation to training and align the inference procedure.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20760,"status":"not treated","reservation_date":"2025-03-28 05:26:15","uploaded":"2025-03-28 09:38:36","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1435.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503347.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.1, 6.2H.2.1.2, 6.2H.2.3.2, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503348","title":"Update to VFL preparation procedure","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add missing parameters in related parts and remove the following EN, and add the missing parameters used in preparation procedure. Editor's note: Which parameters are optional, or mandatory is FFS, the list of parameters also needs to be extended.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20800,"status":"not treated","reservation_date":"2025-03-28 05:26:16","uploaded":"2025-03-28 09:38:36","revisionof":"","revisedto":"S2-2504760","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1436.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503348.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.1, 6.2H.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503349","title":"Update the inference service for VFL","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Change the Analytics Filter Information and Analytics Reporting Information as mandatory inputs of Analytics request\/subscribe. 2. Add the Inference time information, and remove the following EN. Editor's note: It is FFS whether additional parameters are needed to send from the VFL server to VFL client, e.g. parameters used in training phase and parameters from Analytics request. 3. Change the 'Data time window' in step 2 to 'Reporting time'. 4. Make alignment for the names of intermediate local inference results and combined inference results.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20880,"status":"not treated","reservation_date":"2025-03-28 05:26:17","uploaded":"2025-03-28 09:38:36","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1437.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503349.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4.1, 7.13.2, 7.13.4, 7.13.5, 11.3.2, 11.3.4, 11.3.5, 12.3.2, 12.3.4, 12.3.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503365","title":"Update and Resolve ENs for VFL Training Procedure","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Align the VFL trigger case between the Figure and the procedure description. - The Case B and Case C of the Step 0 and Step 7 are switched in the Figure. - Clarified that case B is the case that the NWDAF as a VFL Server case. - Step 0e (Case 5) is changed to Step 0e (Case D), and this case is for an NWDAF as VFL Server case. 2. Remove ENs in Reason for change. 3. Align service operation names in descriptions and the Figures with the definition.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20840,"status":"not treated","reservation_date":"2025-03-28 05:56:56","uploaded":"2025-03-28 12:49:40","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1440.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503365.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503366","title":"Clarification on Aggregator NWDAF Client Selection","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. It is clarified that the NEF select any VFL client as an aggregator. 2. Added in a NOTE that untrusted AF Server knows whether the NEF uses aggregator client by configuration. 3. Alignment of the descriptions in training and inference procedure. 4. Editorial changes.","secretary_remarks":"Revised in parallel session to S2-2503975 (withdrawn). Merged into S2-2503976","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20330,"status":"revised","reservation_date":"2025-03-28 05:58:04","uploaded":"2025-03-28 12:49:40","revisionof":"","revisedto":"S2-2503975","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1441.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503366.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.2, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503368","title":"Clarification on Signalling Storm Analytics","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Clarify example actions of AMF to mitigate and prevent the signalling storm in Table 6.22.3-3. 2. Editorial changes","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20980,"status":"not treated","reservation_date":"2025-03-28 05:59:16","uploaded":"2025-03-28 12:49:40","revisionof":"","revisedto":"S2-2505052","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1442.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503368.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":true,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.3, 6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503410","title":"Enhancements on the input and output of QoS and Policy Assistance Analytics","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: RAN performance data collected from the OAM defined in clause 6.6.2 in TS 23.288 is added as input. Delete 'Applicable duration of QoS and Policy Assistance information' in the output table.","secretary_remarks":"Revision of (Unhandled) S2-2501699. Revised in parallel session to S2-2503977.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20380,"status":"revised","reservation_date":"2025-03-28 06:59:50","uploaded":"2025-03-28 14:52:52","revisionof":"S2-2501699","revisedto":"S2-2503977","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1386.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503410.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.2, 6.23.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503411","title":"NF discovery for signaling data collection related to signaling storm analytics","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updates to Nnrf_NFDiscovery service that if the service consumer wants to get the whole list NF instances of the slice or area, it will provide a wildcard to the NF serive name and NF type as the input parameters.","secretary_remarks":"Revision of (Unhandled) S2-2501703. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21020,"status":"not treated","reservation_date":"2025-03-28 07:01:14","uploaded":"2025-03-28 14:52:52","revisionof":"S2-2501703","revisedto":"S2-2504929","release":"Rel-19","crspec":"23.502","crspecversion":"19.3.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5350.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503411.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503535","title":"Address ENs for AI positioning case 3b","source":"Vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Address some ENs by adding the Notes about how to collect the input data for case 3b.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21030,"status":"not treated","reservation_date":"2025-03-28 09:13:26","uploaded":"2025-03-28 10:58:16","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":719.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503535.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.0, 6.22.3.","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503536","title":"Clarification on VFL Server registration & discovery","source":"Vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Distinct parameters clearly for VFL registration and VFL discovery correspondingly; - Move the untrusted AF as VFL server's registration operation to a correct step for procedure of 6.2H.2.1.2. - Other minor changes.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21040,"status":"not treated","reservation_date":"2025-03-28 09:13:40","uploaded":"2025-03-28 10:58:16","revisionof":"","revisedto":"S2-2504781","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1443.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503536.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2H.2.1.1, 6.2H.2.1.2.","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503537","title":"Clarification on VFL inference","source":"Vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a new clause to describe the contents of VFL inference service. Remove ENs in clause 6.2H.2.4.1 and 6.2H.2.4.2.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21050,"status":"not treated","reservation_date":"2025-03-28 09:13:41","uploaded":"2025-03-28 10:58:16","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1444.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503537.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4, 6.2H.2.4.1, 6.2H.2.4.2, 6.2H.X(new).","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503538","title":"Clarification on VFL training","source":"Vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove ENs in clause 6.2H.2.3. Wording update to clarify the service operation which will be used.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":21060,"status":"not treated","reservation_date":"2025-03-28 09:13:43","uploaded":"2025-03-28 10:58:16","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1445.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503538.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1, 6.2H.2.3.2.","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503564","title":"Resolve ENs on input data for LMF based AI\/ML positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Resolve the ENs on input data for LMF based AI\/ML positioning. Remove the EN on whether and how the LMF takes the RAN load into account.","secretary_remarks":"Revised in parallel session to S2-2503968.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20090,"status":"revised","reservation_date":"2025-03-28 09:37:08","uploaded":"2025-03-28 10:09:54","revisionof":"","revisedto":"S2-2503968","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":720.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503564.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"2, 5.18.0, 6.22.3, 6.22.4, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503565","title":"Further corrections on QoS and policy assistance analytics","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Change 'SDF template' in input parameter and input data to 'service data flow filters' \/ 'Packet Filter Set'. Clarify the events that the NWDAF uses to collect input data. Remove the wrong description of consumer NF in the procedure. Editorial modifications.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20930,"status":"not treated","reservation_date":"2025-03-28 09:37:09","uploaded":"2025-03-28 10:09:54","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1448.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503565.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1, 6.23.2, 6.23.3, 6.23.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503577","title":"Addition of NOTE to user consent purpose","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a NOTE to Table 5.2.3.3.1-1 indicating that existing user consent purposes of model training and analytics can be applied to model monitoring and inference, respectively. Add reference to TS 23.273 in user consent entry of Table 5.2.3.3.1-1 Minor wording adjustment to LCS privacy since GMLC is not the only NF that can request the UE LCS privacy profile","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20730,"status":"not treated","reservation_date":"2025-03-28 09:42:14","uploaded":"2025-03-28 16:42:18","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.3.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5457.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503577.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.3.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503598","title":"Clarification on privacy check for data collection","source":"Xiaomi","contact":"Tingfang Tang","contact-id":100554,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add clarification for privacy check for the ground truth data collection from UE in clause 5.18.2 and clause 6.22.3. Add LMF as LCS for allowed to locate the particular UE.","secretary_remarks":"Merged into S2-2503965","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19990,"status":"merged","reservation_date":"2025-03-28 10:05:32","uploaded":"2025-03-28 14:51:25","revisionof":"","revisedto":"S2-2505030","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":721.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503598.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.0, 5.18.2, 6.22.3, 7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503663","title":"Discussion of the user consent and UE LCS privacy check for AI\/ML based positioning.","source":"Qualcomm Incorporated, Xiaomi","contact":"Juan Zhang","contact-id":73274,"tdoctype":"discussion","for":"Information","abstract":"This discussion paper analyses the user consent procedure and the UE LCS privacy check procedure for AI\/ML based positioning.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20560,"status":"not treated","reservation_date":"2025-03-28 11:09:31","uploaded":"2025-03-28 16:46:06","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503663.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503665","title":"UE LCS privacy check for AI\/ML based positioning","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF will perform UE LCS privacy check in differetn clauses.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20570,"status":"not treated","reservation_date":"2025-03-28 11:12:33","uploaded":"2025-03-28 16:46:06","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":724.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503665.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.0, 5.18.2, 6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503668","title":"UE LCS privacy check for AI\/ML based positioning","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF needs to check the user consent and UE LCS privacy in UDM during the data collection procedure in clause 6.2E.4.","secretary_remarks":"Revised in parallel session to S2-2503966.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20000,"status":"revised","reservation_date":"2025-03-28 11:15:11","uploaded":"2025-03-28 16:46:06","revisionof":"","revisedto":"S2-2503966","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1449.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503668.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503674","title":"Removal the AI\/ML based positioning for case 2b","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the data collection from UE in clause 5.18.0 and 5.18.2 Remove the procedure about data collection from UE in clause 6.22.2 Add the note to clarify that the data source type is only set as NG-RAN in this release in clasue 6.22.4 and 8.3.4.2.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20590,"status":"not treated","reservation_date":"2025-03-28 11:19:22","uploaded":"2025-03-28 16:46:06","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":725.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503674.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503693","title":"Removal the EN about LMF taking into account RAN load","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the editor's note regarding LMF considering the RAN load in clause 6.22.3.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20650,"status":"not treated","reservation_date":"2025-03-28 11:23:25","uploaded":"2025-03-28 16:46:06","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":726.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503693.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503718","title":"Maintenance of VFL model training and inference with client intermediate results sharing between VFL clients","source":"Samsung","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce new parameters to NWDAF and NEF service operations of model training and inference to support intermediate results sharing between VFL clients. Clarification on model training and inference procedures. Remove redundant EN from clause 6.2H.2.3.1. Other editorial changes.","secretary_remarks":"Revised in parallel session to S2-2503976, merging S2-2503366","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20350,"status":"revised","reservation_date":"2025-03-28 12:07:39","uploaded":"2025-03-28 15:47:23","revisionof":"","revisedto":"S2-2503976","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1450.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503718.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1, 6.2H.2.3.2, 6.2H.2.4.2, 7.12.1, 7.12.2, 7.13.1, 7.13.2, 7.13.5, 12.2.2, 12.3.2, 12.3.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503963","title":"[DRAFT] Reply LS on ML Model provisioning by OAM to LMF for UE positioning","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"LS out","for":"Approval","abstract":"To: SA WG5. Attachments: S2-2502818\/S2-2502819","secretary_remarks":"Revision of S2-2502857. Revised in parallel session to S2-2504197.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19870,"status":"revised","reservation_date":"2025-04-15 06:42:23","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2502857","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG5","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503963.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503964","title":"ML Model provisioning by OAM for LMF-based AI\/ML Positioning","source":"NTT DOCOMO, Ericsson, Nokia, Huawei, HiSilicon","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Resolving the Editor's note on ML model provisioning by OAM for LMF-based AI\/ML positioning Adding a new clause to clarify the interaction between LMF and OAM","secretary_remarks":"Revision of S2-2503110. Revised in parallel session to S2-2504198.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19920,"status":"revised","reservation_date":"2025-04-15 06:42:23","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2503110","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":705.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503964.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503965","title":"Changes on user consent and privacy for AIML-based positioning","source":"Apple, Xiaomi","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"User consent and privacy updates for AI\/ML-based positioning","secretary_remarks":"Revision of S2-2502947, merging S2-2503598. Postponed in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19960,"status":"postponed","reservation_date":"2025-04-15 06:42:24","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2502947","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":702.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503965.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503966","title":"UE LCS privacy check for AI\/ML based positioning","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF needs to check the user consent and UE LCS privacy in UDM during the data collection procedure in clause 6.2E.4.","secretary_remarks":"Revision of S2-2503668. Postponed in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20010,"status":"postponed","reservation_date":"2025-04-15 06:42:25","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2503668","revisedto":"S2-2504815","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1449.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503966.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503967","title":"Removal of requirements related to case 2b","source":"Vivo, Xiaomi, ZTE, OPPO, Mediatek Inc., Samsung, Nokia, CATT","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove requirements related to case 2b, i.e., UE-assisted\/LMF-based positioning with LMF-side model.","secretary_remarks":"Revision of S2-2502932. Revised in parallel session to S2-2504200.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20050,"status":"revised","reservation_date":"2025-04-15 06:42:26","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2502932","revisedto":"S2-2504200","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":700.0,"crrevision":1.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503967.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503968","title":"Resolve ENs on input data for LMF based AI\/ML positioning","source":"CATT, Ericsson, vivo","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Resolve the ENs on input data for LMF based AI\/ML positioning. Remove the EN on whether and how the LMF takes the RAN load into account.","secretary_remarks":"Revision of S2-2503564. Revised in parallel session to S2-2504201.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20100,"status":"revised","reservation_date":"2025-04-15 06:42:27","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2503564","revisedto":"S2-2504201","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":720.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503968.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503969","title":"Editor s Note clean up for the VFL","source":"OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove all the Editor's note related to the VFL. Add one sentence to clarify NWDAF containing AnLF determine the VFL server AF during the VFL training phase as described in the clause 6.2H.2.3.2 or based on the VFL server discovery procedure .","secretary_remarks":"Revision of S2-2503319. Revised in parallel session to S2-2504202.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20140,"status":"revised","reservation_date":"2025-04-15 06:42:28","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2503319","revisedto":"S2-2504202","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1433.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503969.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503970","title":"Optimization of VFL triggers","source":"ZTE, Huawei, Hisilicon, vivo, OPPO, Nokia, Futurewei, Samsung, China Mobile, Interdigital","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce the time negotiation mechanism before the starts of VFL training and inference. Add Analytics ID, VFL correlation ID, VFL server AF ID in the VFL training complete message. Wording improvements and Editorial corrections.","secretary_remarks":"Revision of S2-2502863. Revised in parallel session to S2-2504215.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20170,"status":"revised","reservation_date":"2025-04-15 06:42:29","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2502863","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1411.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503970.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503971","title":"Update triggering Case A and some corrections and Resolving ENs for VFL","source":"Ericsson, China Telecom, ZTE","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Added details how VFL will be handled in Contents of ML Model Provisioning, clause 6.2A.2 Also updating MLModelProvisoining with error cause code for Case B and C and adding response for Case A In Training procedures: Resolving the EN Editor's note: When the AnLF determine the VFL server AF is FFS. For example, during the training phase. by removing it since it is described that the VFL server is learned in Training procedure. Resolving EN Editor's note: Whether weight of the VFL Client is computed by VFL server is FFS. by keeping existing text on weights Resolving EN Editor's note: Whether VFL server and VFL clients share feature information is FFS. by removing it since no further feature information is to be shared Fixed errors in case A Also, for Case A adding from S2-2502863: Adding the possibility for AF VFL server to not start training if it believes the training time is longer than requested. Adding the possibility for the AF server to optionally send the VFL correlation ID at end of training. The following NOTE is a duplicate of first case in step 0, so remove NOTE 4: VFL Server can determine to start the training based on local configuration and agreement among vendors and\/or application providers participating in the same group for specific VFL task(s). The content of Intermediate model training information is already stated in clause 6.2H.3 to not be specified. So NOTE 6 is removed.Also NOTE 8 in training procedure is removed together with some text on examples are removed from the procedure. In the termination request from Server to clients, removing 'the termination message contains VFL Correlation ID and may contain the intermediate model training information to each of the VFL clients'. VFL correlation ID is superfluous since each subscription will contain the VFL correlation ID, and it is enough just using the subscription correlation ID when doing unsubscribe. Also in unsubscribe usually no other information than subscription correlation ID is sent, and see no reason to extend that in this case. If Server would like to send 'the intermediate model training information to each of the VFL clients' after it has decided to terminate the VFL, it can do a last round using subscription request, followed by an unsubscribe. Correcting an error for the case when untrusted AF is VFL server adding 'AF stores the External NWDAF IDs together with the NEF and VFL correlation ID, to be able to use this e.g. for Inference later' In Inference procedures: The Following NOTE in Inference procedure seems wrong since we have agreed on aggregating clients when untrusted AF is server. NOTE 2: In this Release, it is assumed that local intermediate inference is shared between VFL server and VFL client. So that NOTE is removed In clause 6.2H.3 Changing the heading to state services with a plural s Resolving EN Editor's note: Which parameters are optional, or mandatory is FFS, the list of parameters also needs to be extended. by adding a few parameters and also stating which ones are optional. The new parameters are VFL training iteration number, Feature ID and use case context. Since VFL has the use case context available from AnLF, it can be forwarded to support the clients to set-up the correct local model. Removing one duplicate parameter, namely VFL Interoperability Information Adding the parameters for the new services Naf_training and Nnef_Training in a new clause In Service operation clauses: In clause 11.5.1 and 12.6.1 Resolving the ENs Editor s note: Parameters of the service operations are FFS and more will be added when procedures and content of services are agreed. by adding parameters Also resolving Editor s note: It is ffs whether this service is also provided by an AF acting as VFL server and enables a consumer to request VFL Training. by removing it, since we have agreed to use a new service for this.","secretary_remarks":"Revision of S2-2503193. 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{"name":"S2-2503972","title":"Alignment of existing mechanisms for accuracy generation impacted by VFL procedures","source":"Huawei, HiSilicon, ZTE","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updating Clause 6.2D.2 to allow the NWDAF containing AnLF to trigger the VFl accuracy monitoring to support the selection of VFL Clients for the VFL Inference procedure and differentiate the calculation of analytics accuracy information when VFL inference is performed. Updating Clause 6.2E.2 to enable the VFL Server to trigger the VFL accuracy monitoring during VFL training. Updating Clause 6.2E.3.1 with a NOTE indicating that this procedure is not required in case of ML Model trained with VFL Training as VFL NWDAF containing AnLF and NWDAF containing MTLF are in this release of the specification the same VFL Server.","secretary_remarks":"Revision of S2-2503130. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20240,"status":"agreed","reservation_date":"2025-04-15 06:42:31","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2503130","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1417.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"SP-250464","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503972.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503973","title":"Parameters for vertical federated learning inference procedure","source":"Nokia, Vivo, Huawei","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add parameters as defined for the the analytics request (as defined in Clause 6.1.3 of TS 23.228) that cannot be handled by the VFL server alone but need to be forwarded to the VFL clients also to the VFL interence service. Also add the data time window as parameter to the service operations. Removed resolved ENs.","secretary_remarks":"Revision of S2-2503234. Revised in parallel session to S2-2504216.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20260,"status":"revised","reservation_date":"2025-04-15 06:42:32","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2503234","revisedto":"S2-2504216","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1425.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503973.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503974","title":"Updates on VFL inference","source":"Interdigital, Samsung","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Analytic service request to the VFL server is clarified and Note is changed into normative text.","secretary_remarks":"Revision of S2-2503250. Revised in parallel session to S2-2504217.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20290,"status":"revised","reservation_date":"2025-04-15 06:42:33","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2503250","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1429.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503974.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503975","title":"Clarification on Aggregator NWDAF Client Selection","source":"LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"WITHDRAWN: Summary of change: 1. It is clarified that the NEF select any VFL client as an aggregator. 2. Added in a NOTE that untrusted AF Server knows whether the NEF uses aggregator client by configuration. 3. Alignment of the descriptions in training and inference procedure. 4. Editorial changes.","secretary_remarks":"Revision of S2-2503366. WITHDRAWN","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20340,"status":"withdrawn","reservation_date":"2025-04-15 06:42:34","uploaded":null,"revisionof":"S2-2503366","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1441.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503976","title":"Maintenance of VFL model training and inference with client intermediate results sharing between VFL clients","source":"Samsung, ZTE, Nokia, OPPO, LG Electronics, Ericsson","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarification on aggregator selection. Clarification on preparation by involving aggregator. Editorial changes to model training and inference procedures. Remove redundant ENs from clause 6.2H.2.3.1. Other editorial changes.","secretary_remarks":"Revision of S2-2503718, merging S2-2503366. Revised in parallel session to S2-2504218.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20360,"status":"revised","reservation_date":"2025-04-15 06:42:52","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2503718","revisedto":"S2-2504218","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1450.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503976.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2503977","title":"Enhancements on the input and output of QoS and Policy Assistance Analytics","source":"China Mobile, ETRI","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: RAN performance data collected from the OAM defined in clause 6.6.2 in TS 23.288 is added as input. Delete 'Applicable duration of QoS and Policy Assistance information' in the output table.","secretary_remarks":"Revision of S2-2503410. Revised in parallel session to S2-2504219.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20390,"status":"revised","reservation_date":"2025-04-15 06:42:53","uploaded":"2025-04-15 07:31:12","revisionof":"S2-2503410","revisedto":"S2-2504219","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1386.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2503977.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504172","title":"UE LCS privacy check for ground truth data collection and input data storage for ML model training for AI\/ML positioning","source":"Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: It is proposed to extend the NF that query to check the LCS privacy profile in UDM to include LMF. The LMF checks if the NWDAF is authorized to retrieve UE location based on the UE privacy profile stored as part of UE subscription data in the UDM. When authorized, the LMF sends the UE location data (ground truth data) to the NWDAF. PLMN class operator client type in the UE LCS privacy profile includes ADRF in the LCS client list. Detailed procedure for input data storage and deletion from ADRF.","secretary_remarks":"Revision of S2-2503216. Postponed in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19980,"status":"postponed","reservation_date":"2025-04-15 06:19:22","uploaded":"2025-04-15 07:31:11","revisionof":"S2-2503216","revisedto":"S2-2504991","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":710.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504172.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504197","title":"Reply LS on ML Model provisioning by OAM to LMF for UE positioning","source":"SA WG2","contact":"Yuang Feng","contact-id":102777,"tdoctype":"LS out","for":"Approval","abstract":"To: SA WG5. Attachments: S2-2502818\/S2-2502819","secretary_remarks":"Revision of S2-2503963. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19880,"status":"approved","reservation_date":"2025-04-15 06:19:36","uploaded":"2025-04-15 07:31:11","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"S2-2502840","lsto":"SA WG5","Cc":"","lsoriginalls":"","lsreply":"S5-252430","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504197.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504198","title":"ML Model provisioning by OAM for LMF-based AI\/ML Positioning","source":"NTT DOCOMO, Ericsson, Nokia, Huawei, HiSilicon","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Resolving the Editor's note on ML model provisioning by OAM for LMF-based AI\/ML positioning","secretary_remarks":"Revision of S2-2503964. Endorsed in parallel session. Block endorsed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19930,"status":"endorsed","reservation_date":"2025-04-15 06:19:36","uploaded":"2025-04-15 07:31:11","revisionof":"","revisedto":"S2-2504829","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":705.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504198.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504199","title":"AIML_CN KI#1: Status and proposal on user consent and privacy profile","source":"Apple","contact":"Maurice Pope","contact-id":648,"tdoctype":"discussion","for":"Information","abstract":"Slides on LCS privacy & User consent","secretary_remarks":"NEW PAPER TO HELP DISCUSSION. Noted in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19940,"status":"noted","reservation_date":"2025-04-15 06:19:37","uploaded":"2025-04-15 07:31:11","revisionof":"","revisedto":"S2-2504667","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504199.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504200","title":"Removal of requirements related to case 2b","source":"Vivo, Xiaomi, ZTE, OPPO, Mediatek Inc., Samsung, Nokia, CATT, Ericsson, Qualcomm Incorporated, Huawei, HiSilicon, ERTI","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove requirements related to case 2b, i.e., UE-assisted\/LMF-based positioning with LMF-side model.","secretary_remarks":"Revision of S2-2503967. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20060,"status":"agreed","reservation_date":"2025-04-15 06:19:37","uploaded":"2025-04-15 07:31:11","revisionof":"S2-2503967","revisedto":"S2-2504780","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":700.0,"crrevision":2.0,"crcategory":"C","tsg_crp":"SP-250464","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504200.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504201","title":"Resolve ENs on input data for LMF based AI\/ML positioning","source":"CATT, Ericsson, vivo, Huawei, HiSilicon","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Resolve the ENs on input data for LMF based AI\/ML positioning. Remove the EN on whether and how the LMF takes the RAN load into account.","secretary_remarks":"Revision of S2-2503968. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20110,"status":"agreed","reservation_date":"2025-04-15 06:19:38","uploaded":"2025-04-15 07:31:11","revisionof":"S2-2503968","revisedto":"S2-2504849, S2-2505281","release":"Rel-19","crspec":"23.273","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":720.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"SP-250464","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504201.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504202","title":"Editor s Note clean up for the VFL","source":"OPPO, Nokia","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove all the Editor's note related to the VFL. Add one sentence to clarify NWDAF containing AnLF determine the VFL server AF during the VFL training phase as described in the clause 6.2H.2.3.2 or based on the VFL server discovery procedure .","secretary_remarks":"Revision of S2-2503969. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20150,"status":"agreed","reservation_date":"2025-04-15 06:19:38","uploaded":"2025-04-15 07:31:11","revisionof":"S2-2503969","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1433.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"SP-250464","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504202.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504215","title":"Optimization of VFL triggers","source":"ZTE, Huawei, Hisilicon, vivo, OPPO, Nokia, Futurewei, Samsung, China Mobile, Interdigital","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce the time negotiation mechanism before the starts of VFL training and inference. Add Analytics ID, VFL correlation ID, VFL server AF ID in the VFL training complete message. Wording improvements and Editorial corrections.","secretary_remarks":"Revision of S2-2503970. Revised in parallel session to S2-2504221.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20180,"status":"revised","reservation_date":"2025-04-15 06:19:48","uploaded":"2025-04-15 07:31:11","revisionof":"","revisedto":"S2-2504221","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1411.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504215.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504216","title":"Parameters for vertical federated learning inference procedure","source":"Nokia, Vivo, Huawei, Oppo, Samsung","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add parameters as defined for the the analytics request (as defined in Clause 6.1.3 of TS 23.228) that cannot be handled by the VFL server alone but need to be forwarded to the VFL clients also to the VFL interence service. Also add the data time window as parameter to the service operations. Removed resolved ENs.","secretary_remarks":"Revision of S2-2503973. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20270,"status":"agreed","reservation_date":"2025-04-15 06:19:49","uploaded":"2025-04-15 07:31:11","revisionof":"S2-2503973","revisedto":"S2-2504853","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1425.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"SP-250464","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504216.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504217","title":"Updates on VFL inference","source":"Interdigital, Samsung","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Analytic service request to the VFL server is clarified and Note is changed into normative text.","secretary_remarks":"Revision of S2-2503974. Revised in parallel session to S2-2504243.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20300,"status":"revised","reservation_date":"2025-04-15 06:19:50","uploaded":"2025-04-15 07:31:11","revisionof":"","revisedto":"S2-2504243","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1429.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504217.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504218","title":"Maintenance of VFL model training and inference with client intermediate results sharing between VFL clients","source":"Samsung, ZTE, Nokia, OPPO, LG Electronics, Ericsson","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarification on aggregator selection. Clarification on preparation by involving aggregator. Editorial changes to model training and inference procedures. Remove redundant ENs from clause 6.2H.2.3.1. Other editorial changes.","secretary_remarks":"Revision of S2-2503976. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20370,"status":"agreed","reservation_date":"2025-04-15 06:19:51","uploaded":"2025-04-15 07:31:11","revisionof":"S2-2503976","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1450.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"SP-250464","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504218.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504219","title":"Enhancements on the input and output of QoS and Policy Assistance Analytics","source":"China Mobile, ETRI, Samsung, Huawei","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: RAN performance data collected from the OAM defined in clause 6.6.2 in TS 23.288 is added as input. Delete 'Applicable duration of QoS and Policy Assistance information' in the output table.","secretary_remarks":"Revision of S2-2503977. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20400,"status":"agreed","reservation_date":"2025-04-15 06:19:52","uploaded":"2025-04-15 07:31:11","revisionof":"S2-2503977","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1386.0,"crrevision":3.0,"crcategory":"F","tsg_crp":"SP-250464","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504219.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504220","title":"Update triggering Case A and some corrections and Resolving ENs for VFL","source":"Ericsson, China Telecom, ZTE","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Added details how VFL will be handled in Contents of ML Model Provisioning, clause 6.2A.2 Also updating MLModelProvisoining with error cause code for Case B and C and adding response for Case A In Training procedures: Resolving the EN Editor's note: When the AnLF determine the VFL server AF is FFS. For example, during the training phase. by removing it since it is described that the VFL server is learned in Training procedure. Resolving EN Editor's note: Whether weight of the VFL Client is computed by VFL server is FFS. by keeping existing text on weights Resolving EN Editor's note: Whether VFL server and VFL clients share feature information is FFS. by removing it since no further feature information is to be shared Fixed errors in case A Also, for Case A adding from S2-2502863: Adding the possibility for AF VFL server to not start training if it believes the training time is longer than requested. Adding the possibility for the AF server to optionally send the VFL correlation ID at end of training. The following NOTE is a duplicate of first case in step 0, so remove NOTE 4: VFL Server can determine to start the training based on local configuration and agreement among vendors and\/or application providers participating in the same group for specific VFL task(s). The content of Intermediate model training information is already stated in clause 6.2H.3 to not be specified. So NOTE 6 is removed. Also NOTE 8 in training procedure is removed together with some text on examples are removed from the procedure. In the termination request from Server to clients, removing 'the termination message contains VFL Correlation ID and may contain the intermediate model training information to each of the VFL clients'. VFL correlation ID is superfluous since each subscription will contain the VFL correlation ID, and it is enough just using the subscription correlation ID when doing unsubscribe. Also in unsubscribe usually no other information than subscription correlation ID is sent, and see no reason to extend that in this case. If Server would like to send 'the intermediate model training information to each of the VFL clients' after it has decided to terminate the VFL, it can do a last round using subscription request, followed by an unsubscribe. Correcting an error for the case when untrusted AF is VFL server adding 'AF stores the External NWDAF IDs together with the NEF and VFL correlation ID, to be able to use this e.g. for Inference later' In Inference procedures: The Following NOTE in Inference procedure seems wrong since we have agreed on aggregating clients when untrusted AF is server. NOTE 2: In this Release, it is assumed that local intermediate inference is shared between VFL server and VFL client. So that NOTE is removed In clause 6.2H.3 Changing the heading to state services with a plural s Resolving EN Editor's note: Which parameters are optional, or mandatory is FFS, the list of parameters also needs to be extended. by adding a few parameters and also stating which ones are optional. The new parameters are VFL training iteration number, Feature ID and use case context. Since VFL has the use case context available from AnLF, it can be forwarded to support the clients to set-up the correct local model. Removing one duplicate parameter, namely VFL Interoperability Information Adding the parameters for the new services Naf_training and Nnef_Training in a new clause In Service operation clauses: In clause 11.5.1 and 12.6.1 Resolving the ENs Editor s note: Parameters of the service operations are FFS and more will be added when procedures and content of services are agreed. by adding parameters Also resolving Editor s note: It is ffs whether this service is also provided by an AF acting as VFL server and enables a consumer to request VFL Training. by removing it, since we have agreed to use a new service for this.","secretary_remarks":"Revision of S2-2503971. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20220,"status":"agreed","reservation_date":"2025-04-15 06:19:53","uploaded":"2025-04-15 07:31:11","revisionof":"S2-2503971","revisedto":"S2-2504878, S2-2505251, S2-2505274","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1421.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"SP-250464","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504220.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504221","title":"Optimization of VFL triggers","source":"ZTE, Huawei, Hisilicon, vivo, OPPO, Nokia, Futurewei, Samsung, China Mobile, Interdigital","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce the time negotiation mechanism before the starts of VFL training and inference. Add Analytics ID, VFL correlation ID, VFL server AF ID in the VFL training complete message. Wording improvements and Editorial corrections.","secretary_remarks":"Revision of S2-2504215. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20190,"status":"agreed","reservation_date":"2025-04-15 06:19:53","uploaded":"2025-04-15 07:31:11","revisionof":"S2-2504215","revisedto":"S2-2504553, S2-2504696, S2-2505417","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1411.0,"crrevision":3.0,"crcategory":"F","tsg_crp":"SP-250464","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504221.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504243","title":"Inclusion of several Non-3GPP Device Identifiers","source":"Nokia, InterDigital Inc., LG Electronics, Samsung, ZTE, Xiaomi","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Session Management policies corresponding to handling of Non-3GPP Devices is updated to clarify the several case scenario.","secretary_remarks":"Revision of S2-2504217. Agreed in parallel session. Wrong document uploaded. Revised to S2-2504476.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20310,"status":"revised","reservation_date":"2025-04-15 06:20:01","uploaded":"2025-04-15 07:31:11","revisionof":"S2-2504217","revisedto":"S2-2504476","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1429.0,"crrevision":3.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504243.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2504476","title":"Updates on VFL inference","source":"Interdigital, Samsung","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Analytic service request to the VFL server is clarified and Note is changed into normative text.","secretary_remarks":"Revision of S2-2504243. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20320,"status":"agreed","reservation_date":"2025-04-15 06:21:34","uploaded":"2025-04-15 07:41:19","revisionof":"S2-2504243","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1429.0,"crrevision":4.0,"crcategory":"F","tsg_crp":"SP-250464","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_168_Goteborg_2025-04\/Docs\/S2-2504476.zip","group":"S2","meeting":"S2-168","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4.1","crsinpack":null,"crsinpacknumber":0}]