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		Spec #	CR #	Revision #	CR Cat	Impacted Version	Target Release	Title	WG TDoc #	CR status at WG	WG meeting ref	WG Source information	TSG TDoc #	CR status at TSG	TSG meeting ref	TSG Source information	New Version	Work Items	Remarks


23.273	0570	-	B	18.6.0	Rel-19	Support of AI/ML based positioning methods	S2-2408670		SA2#164	InterDigital, Inc.						AIML_CN
23.273	0569	-	B	18.6.0	Rel-19	Data collection for AI/ML positioning model training	S2-2408668		SA2#164	InterDigital, Inc.						AIML_CN
23.273	0568	-	B	18.6.0	Rel-19	LMF selection for AI/ML based positioning	S2-2408665		SA2#164	InterDigital, Inc.						AIML_CN
23.273	0556	-	B	18.6.0	Rel-19	LMF enhancements for Direct AI/ML based positioning	S2-2408333		SA2#164	Huawei, HiSilicon						AIML_CN
23.273	0555	-	B	18.6.0	Rel-19	New procedure for LMF to retrieve ML Model from MTLF	S2-2408269		SA2#164	Vivo, OPPO, Chi...						AIML_CN
23.273	0554	-	B	18.6.0	Rel-19	Data collection for AI/ML based positioning	S2-2408267		SA2#164	Vivo, OPPO,ZTE						AIML_CN
23.273	0553	-	B	18.6.0	Rel-19	Support of AI/ML based positioning feature	S2-2408265		SA2#164	Vivo, OPPO, Med...						AIML_CN
23.273	0551	-	B	18.6.0	Rel-19	Extend UE LCS privacy profile to support Authorization for data collection for AI/ML model training	S2-2408211	postponed	SA2#164	Xiaomi						AIML_CN
23.273	0550	-	B	18.6.0	Rel-19	Support AI/ML model performance monitoring	S2-2408210		SA2#164	Xiaomi						AIML_CN
23.273	0549	-	B	18.6.0	Rel-19	Support Direct AI/ML based positioning	S2-2408209		SA2#164	Xiaomi						AIML_CN
23.273	0543	3	B	18.6.0	Rel-19	Introduction of LMF enhancement for Direct AI/ML based Positioning	S2-2409414	agreed	SA2#164	Qualcomm Incorp...	SP-241264	approved	SA#105	SA WG2	19.0.0	AIML_CN
23.273	0543	2	B	18.6.0	Rel-19	Introduction of LMF enhancement for Direct AI/ML based Positioning	S2-2409131	revised	SA2#164	Qualcomm Incorp...						AIML_CN
23.273	0543	1	B	18.6.0	Rel-19	Introduction of LMF enhancement for Direct AI/ML based Positioning	S2-2408890	revised	SA2#164	Qualcomm Incorp...						AIML_CN
23.273	0543	-	B	18.6.0	Rel-19	Introduction of LMF enhancement for Direct AI/ML based Positioning	S2-2407881	revised	SA2#164	Qualcomm Incorp...						AIML_CN
23.273	0542	-	B	18.6.0	Rel-19	Procedure for LMF to retrieve ML models in TS23.273	S2-2407808	revised	SA2#164	China Mobile						AIML_CN
23.273	0537	-	B	18.6.0	Rel-19	ML Model based UE positioning support	S2-2407588	revised	SA2#164	NTT DOCOMO						AIML_CN
23.273	0536	-	B	18.6.0	Rel-19	LMF event exposure to support data collection for AI/ML based positioning	S2-2407556		SA2#164	CATT						AIML_CN
23.273	0535	-	B	18.6.0	Rel-19	Support of LMF selection based on AI/ML based positioning capability	S2-2407543	revised	SA2#164	ZTE, China Tele...						AIML_CN
23.273	0533	-	B	18.6.0	Rel-19	Support of AI/ML based positioning	S2-2407525		SA2#164	CATT						AIML_CN
23.273	0532	3	B	18.6.0	Rel-19	KI#1 - LMF enhancements for UE positioning using a ML model	S2-2409415	agreed	SA2#164	Ericsson	SP-241264	approved	SA#105	SA WG2	19.0.0	AIML_CN
23.273	0532	2	B	18.6.0	Rel-19	KI#1 - LMF enhancements for UE positioning using a ML model	S2-2409132	revised	SA2#164	Ericsson						AIML_CN
23.273	0532	1	B	18.6.0	Rel-19	KI#1 - LMF enhancements for UE positioning using a ML model	S2-2408891	revised	SA2#164	Ericsson						AIML_CN
23.273	0532	-	B	18.6.0	Rel-19	KI#1 - LMF enhancements for UE positioning using a ML model	S2-2407488	revised	SA2#164	Ericsson						AIML_CN
23.288	1189	-	B	18.6.0	Rel-19	Enhancing Network Data Analytics to support Flexible combined/joint analytics	S2-2408674		SA2#164	InterDigital, Inc.						AIML_CN
23.288	1188	-	B	18.6.0	Rel-19	Enabling VFL Inference in 5GC	S2-2408663		SA2#164	Interdigital						AIML_CN
23.288	1187	-	B	18.6.0	Rel-19	Enabling VFL training in 5GC with AF as Server	S2-2408662		SA2#164	Interdigital						AIML_CN
23.288	1186	-	B	18.6.0	Rel-19	VFL Procedures for client discovery and sample/feature alignment	S2-2408660		SA2#164	Interdigital						AIML_CN
23.288	1185	3	B	18.6.0	Rel-19	High level feature description for VFL	S2-2409418	agreed	SA2#164	Interdigital	SP-241264	approved	SA#105	SA WG2	19.0.0	AIML_CN
23.288	1185	2	B	18.6.0	Rel-19	High level feature description for VFL	S2-2409135	revised	SA2#164	Interdigital						AIML_CN
23.288	1185	1	B	18.6.0	Rel-19	High level feature description for VFL	S2-2408888	revised	SA2#164	Interdigital						AIML_CN
23.288	1185	-	B	18.6.0	Rel-19	High level feature description for VFL	S2-2408659	revised	SA2#164	Interdigital						AIML_CN
23.288	1184	-	B	18.6.0	Rel-19	New analytics for signaling storm mitigation and prevention	S2-2408600		SA2#164	Samsung						AIML_CN
23.288	1182	-	B	18.6.0	Rel-19	KI#4: new Analytics ID for signalling storm caused by abnormal NF behavior	S2-2408585		SA2#164	Nokia						AIML_CN
23.288	1181	-	B	18.6.0	Rel-19	KI#4: Extending Abnormal behaviour related network data analytics for signalling storm caused by massive UE signalling	S2-2408576		SA2#164	Nokia						AIML_CN
23.288	1179	1	B	18.6.0	Rel-19	KI#3: QoS Parameters Assistance Analytics and Extensions to Observed service experience, QoS sustainability, Network Performance analytics	S2-2409090	merged	SA2#164	Nokia						AIML_CN
23.288	1179	-	B	18.6.0	Rel-19	KI#3: QoS Parameters Assistance Analytics and Extensions to Observed service experience, QoS sustainability, Network Performance analytics	S2-2408543	revised	SA2#164	Nokia						AIML_CN
23.288	1178	-	B	18.6.0	Rel-19	New analytics ID UE signalling to support Network Abnormal Behaviour Mitigation and Prevention	S2-2408515		SA2#164	China Telecom						AIML_CN
23.288	1177	-	B	18.6.0	Rel-19	KI#2: Service operation extensions for VFL	S2-2408499	withdrawn	SA2#164	Nokia						AIML_CN
23.288	1176	-	B	18.6.0	Rel-19	KI#2: VFL procedures	S2-2408495		SA2#164	Nokia						AIML_CN
23.288	1175	-	B	18.6.0	Rel-19	KI#2: Updating FL to HFL	S2-2408490	revised	SA2#164	Nokia						AIML_CN
23.288	1174	-	B	18.6.0	Rel-19	KI#2: NWDAF discovery for VFL	S2-2408484		SA2#164	Nokia						AIML_CN
23.288	1173	-	B	18.6.0	Rel-19	KI#2: VFL definitions	S2-2408483	revised	SA2#164	Nokia						AIML_CN
23.288	1172	-	B	18.6.0	Rel-19	KI#2: VFL procedures with NWDAF as server	S2-2408479		SA2#164	Nokia						AIML_CN
23.288	1171	3	B	18.6.0	Rel-19	Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and/or AF(s) with NWDAF as the VFL server	S2-2409419	agreed	SA2#164	ICS, OPPO, Inte...	SP-241264	approved	SA#105	SA WG2	19.0.0	AIML_CN
23.288	1171	2	B	18.6.0	Rel-19	Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and/or AF(s) with NWDAF as the VFL server	S2-2409136	revised	SA2#164	ICS, OPPO, Inte...						AIML_CN
23.288	1171	1	B	18.6.0	Rel-19	Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and/or AF(s) with NWDAF as the VFL server	S2-2409088	revised	SA2#164	ICS, OPPO, Inte...						AIML_CN
23.288	1171	-	B	18.6.0	Rel-19	Registration and Discovery procedure for Vertical Federated Learning among NWDAF(s) and/or AF(s) with NWDAF as the VFL server	S2-2408406	revised	SA2#164	ICS, OPPO, Inte...						AIML_CN
23.288	1170	-	B	18.6.0	Rel-19	NWDAF enhancements for Direct AI/ML positioning	S2-2408330		SA2#164	Huawei, HiSilicon						AIML_CN
23.288	1169	-	B	18.6.0	Rel-19	VFL Inference Procedures	S2-2408318		SA2#164	Huawei, HiSilicon						AIML_CN
23.288	1168	-	B	18.6.0	Rel-19	Model Training using Vertical Federated Learning	S2-2408317	withdrawn	SA2#164	Huawei, HiSilicon						AIML_CN
23.288	1166	-	B	18.6.0	Rel-19	NWDAF assisted signalling storm analytics	S2-2408309		SA2#164	Huawei, HiSilicon						AIML_CN
23.288	1164	3	B	18.6.0	Rel-19	Support for LMF to retrieve ML Model of AI/ML based positioning	S2-2409413	agreed	SA2#164	Vivo	SP-241264	approved	SA#105	SA WG2	19.0.0	AIML_CN
23.288	1164	2	B	18.6.0	Rel-19	Support for LMF to retrieve ML Model of AI/ML based positioning	S2-2409130	revised	SA2#164	Vivo						AIML_CN
23.288	1164	1	B	18.6.0	Rel-19	Support for LMF to retrieve ML Model of AI/ML based positioning	S2-2408885	revised	SA2#164	Vivo						AIML_CN
23.288	1164	-	B	18.6.0	Rel-19	Support for LMF to retrieve ML Model of AI/ML based positioning	S2-2408270	revised	SA2#164	Vivo						AIML_CN
23.288	1163	-	B	18.6.0	Rel-19	NWDAF collects data from LMF in order to train ML model for AI positioning	S2-2408268		SA2#164	Vivo						AIML_CN
23.288	1162	-	B	18.6.0	Rel-19	Vertical Federated Learning if NWDAF is VFL Server in TS 23.288	S2-2408258		SA2#164	KDDI						AIML_CN
23.288	1161	-	B	18.6.0	Rel-19	General Support for Vertical Federated Learning in TS 23.288.	S2-2408257	revised	SA2#164	KDDI						AIML_CN
23.288	1160	-	B	18.6.0	Rel-19	Vertical Federated Learning if AF is VFL Server in TS 23.288	S2-2408256	revised	SA2#164	KDDI						AIML_CN
23.288	1159	-	B	18.6.0	Rel-19	Vertical Federated Learning Support if AF is VFL Server with multiple NWDAFs in TS 23.288.	S2-2408255		SA2#164	KDDI						AIML_CN
23.288	1158	-	B	18.6.0	Rel-19	New procedure of VFL Inference when NWDAF as VFL Server	S2-2408231		SA2#164	Vivo						AIML_CN
23.288	1157	-	B	18.6.0	Rel-19	New procedures for VFL training	S2-2408230		SA2#164	Vivo						AIML_CN
23.288	1156	-	B	18.6.0	Rel-19	New procedure of sample alignment when NWDAF as VFL Server	S2-2408229		SA2#164	Vivo						AIML_CN
23.288	1155	-	B	18.6.0	Rel-19	Registration and discovery of VFL entities	S2-2408228		SA2#164	Vivo						AIML_CN
23.288	1154	-	B	18.6.0	Rel-19	5GC Supports for Vertical Federated Learning	S2-2408227		SA2#164	Vivo						AIML_CN
23.288	1153	-	B	18.6.0	Rel-19	Vertical Federated Learning Support in TS 23.288	S2-2408129	withdrawn	SA2#164	KDDI Corporation						AIML_CN
23.288	1152	-	B	18.6.0	Rel-19	Adding functionality to FL server NWDAF for sample alignment	S2-2408099		SA2#164	NTT DOCOMO						AIML_CN
23.288	1151	-	B	18.6.0	Rel-19	KI#4: Massive UE signaling strom mitigation and prevention	S2-2408093		SA2#164	ETRI						AIML_CN
23.288	1150	-	B	18.6.0	Rel-19	KI#2: Training and inference procedures for VFL among multiple NWDAFs	S2-2408041		SA2#164	ETRI						AIML_CN
23.288	1149	-	B	18.6.0	Rel-19	KI#2: Preparation procedure including sample alignment for AF-initiated VFL	S2-2408040		SA2#164	ETRI						AIML_CN
23.288	1148	-	B	18.6.0	Rel-19	KI#2: Registration and discovery procedures of VFL entities	S2-2408038		SA2#164	ETRI						AIML_CN
23.288	1147	-	B	18.6.0	Rel-19	KI#1: Extending NWDAF descrioption to cover model provisioning to LMF	S2-2408025	withdrawn	SA2#164	Nokia						AIML_CN
23.288	1146	-	B	18.6.0	Rel-19	KI#1: model storage and retrieval	S2-2408016		SA2#164	Nokia						AIML_CN
23.288	1145	-	B	18.6.0	Rel-19	Sample and feature alignment procedure for VFL	S2-2408001		SA2#164	Futurewei, OPPO						AIML_CN
23.288	1144	-	B	18.6.0	Rel-19	Vertical Federated Learning General Description	S2-2407918		SA2#164	Huawei, HiSilicon						AIML_CN
23.288	1142	-	B	18.6.0	Rel-19	Enhancement to support NWDAF-assisted policy control and QoS enhancement	S2-2407885		SA2#164	Qualcomm Incorp...						AIML_CN
23.288	1141	-	B	18.6.0	Rel-19	Enhancement for AIML based Positioning	S2-2407880		SA2#164	Qualcomm Incorp...						AIML_CN
23.288	1139	-	B	18.6.0	Rel-19	Performance monitoring for AI/ML based positioning in TS23.273	S2-2407807	revised	SA2#164	China Mobile, C...						AIML_CN
23.288	1138	-	A	18.6.0	Rel-19	Vertical Federated Learning (VFL) between NWDAF(s) and AF(s)	S2-2407806		SA2#164	China Mobile, C...						AIML_CN
23.288	1137	-	B	18.6.0	Rel-19	NWDAF capability to support Vertical Federated Learning in TS 23.288	S2-2407804		SA2#164	LG Electronics						AIML_CN
23.288	1136	-	B	18.6.0	Rel-19	General inference procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s)	S2-2407803		SA2#164	China Mobile, C...						AIML_CN
23.288	1135	-	B	18.6.0	Rel-19	General Description of Vertical Federated Learning	S2-2407802		SA2#164	LG Electronics						AIML_CN
23.288	1134	3	B	18.6.0	Rel-19	General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s)	S2-2409416	revised	SA2#164	China Mobile, C...						AIML_CN
23.288	1134	2	B	18.6.0	Rel-19	General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s)	S2-2409134	revised	SA2#164	China Mobile, C...						AIML_CN
23.288	1134	1	B	18.6.0	Rel-19	General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s)	S2-2408886	revised	SA2#164	China Mobile, C...						AIML_CN
23.288	1134	-	B	18.6.0	Rel-19	General training procedure for NWDAF initiated Vertical Federated Learning between NWDAF(s) and AF(s)	S2-2407800	revised	SA2#164	China Mobile, C...						AIML_CN
23.288	1133	-	B	18.6.0	Rel-19	Support of VFL model training with successive VFL client information sharing	S2-2407755	revised	SA2#164	Samsung						AIML_CN
23.288	1132	2	B	18.6.0	Rel-19	Support of QoS and policy assistance analytics	S2-2409138	revised	SA2#164	Samsung, vivo, ...						AIML_CN
23.288	1132	1	B	18.6.0	Rel-19	Support of QoS and policy assistance analytics	S2-2409089	revised	SA2#164	Samsung, vivo, ...						AIML_CN
23.288	1132	-	B	18.6.0	Rel-19	Support of QoS and policy assistance analytics	S2-2407754	revised	SA2#164	Samsung, vivo, ...						AIML_CN
23.288	1131	-	B	18.6.0	Rel-19	Enhancements to Analytics IDs to support QoS and policy	S2-2407753	revised	SA2#164	Samsung, vivo, ...						AIML_CN
23.288	1129	-	B	18.6.0	Rel-19	23.288 : QoS/Policy Assistance Information Analytics	S2-2407691		SA2#164	ETRI						AIML_CN
23.288	1128	-	B	18.6.0	Rel-19	QoS and policy assistance service by NWDAF	S2-2407647	revised	SA2#164	Huawei, HiSilicon						AIML_CN
23.288	1126	3	B	18.6.0	Rel-19	General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server	S2-2409417	agreed	SA2#164	OPPO, ETRI, Chi...	SP-241264	approved	SA#105	SA WG2	19.0.0	AIML_CN
23.288	1126	2	B	18.6.0	Rel-19	General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server	S2-2409133	revised	SA2#164	OPPO, ETRI, Chi...						AIML_CN
23.288	1126	1	B	18.6.0	Rel-19	General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server	S2-2408887	revised	SA2#164	OPPO, ETRI, Chi...						AIML_CN
23.288	1126	-	B	18.6.0	Rel-19	General inference procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server	S2-2407639	revised	SA2#164	OPPO, ETRI, Chi...						AIML_CN
23.288	1125	-	B	18.6.0	Rel-19	General training procedure for vertical federated learning between AF and NWDAFs with AF as the VFL server	S2-2407638		SA2#164	OPPO, ZTE, ETRI...						AIML_CN
23.288	1124	-	B	18.6.0	Rel-19	Sample and Feature alignment procedure for Vertical Federated Learning with AF as the VFL server	S2-2407637		SA2#164	OPPO, Futurewei...						AIML_CN
23.288	1122	-	B	18.6.0	Rel-19	NF Signalling Storm Analytics	S2-2407591		SA2#164	NTT DOCOMO						AIML_CN
23.288	1121	2	B	18.6.0	Rel-19	QoS Flows Analytics	S2-2409137	withdrawn	SA2#164	NTT DOCOMO						AIML_CN
23.288	1121	1	B	18.6.0	Rel-19	QoS Flows Analytics	S2-2409091	revised	SA2#164	NTT DOCOMO						AIML_CN
23.288	1121	-	B	18.6.0	Rel-19	QoS Flows Analytics	S2-2407589	revised	SA2#164	NTT DOCOMO						AIML_CN
23.288	1120	-	B	18.6.0	Rel-19	KI4: Abnormal NF Signalling Storm Detection Analytics	S2-2407575		SA2#164	Lenovo						AIML_CN
23.288	1119	-	B	18.6.0	Rel-19	KI2: Support of distributed inference for a model trained using VFL	S2-2407574		SA2#164	Lenovo						AIML_CN
23.288	1118	-	B	18.6.0	Rel-19	KI3: NWDAF-assisted policy control	S2-2407573		SA2#164	Lenovo						AIML_CN
23.288	1117	-	B	18.6.0	Rel-19	KI2: Vertical Federated Learning Procedure where FL Server is AF	S2-2407570		SA2#164	Lenovo						AIML_CN
23.288	1116	-	B	18.6.0	Rel-19	KI2: Vertical Federated Learning Procedure where FL Server is NWDAF	S2-2407569		SA2#164	Lenovo						AIML_CN
23.288	1115	-	B	18.6.0	Rel-19	KI2: Vertical Federated Learning Registration, Discovery and Sample Alignmnet where FL Server is AF	S2-2407568		SA2#164	Lenovo						AIML_CN
23.288	1114	-	B	18.6.0	Rel-19	KI2: Vertical Federated Learning Registration, Discovery and Sample Alignment where FL Server is NWDAF	S2-2407567		SA2#164	Lenovo						AIML_CN
23.288	1113	-	B	18.6.0	Rel-19	KI1: Support of training LMF-side models at MTLF	S2-2407566		SA2#164	Lenovo						AIML_CN
23.288	1112	-	B	18.6.0	Rel-19	Horizontal Federated Learning to train ML model for AI/ML based positioning	S2-2407560		SA2#164	CATT						AIML_CN
23.288	1111	-	B	18.6.0	Rel-19	NWDAF service enhancements for AI/ML based positioning	S2-2407559		SA2#164	CATT						AIML_CN
23.288	1110	-	B	18.6.0	Rel-19	Analytics exposure for QoS policy assistance information analytics	S2-2407558		SA2#164	CATT						AIML_CN
23.288	1109	-	B	18.6.0	Rel-19	NWDAF service enhancements for QoS policy assistance information analytics and ML model provisioning	S2-2407557		SA2#164	CATT						AIML_CN
23.288	1108	-	B	18.6.0	Rel-19	VFL terminologies and abbreviations	S2-2407545		SA2#164	ZTE						AIML_CN
23.288	1107	-	B	18.6.0	Rel-19	Support of VFL related-features	S2-2407544		SA2#164	ZTE						AIML_CN
23.288	1104	4	B	18.6.0	Rel-19	New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs	S2-2409420	revised	SA2#164	SK Telecom, AT&...						AIML_CN
23.288	1104	3	B	18.6.0	Rel-19	New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs	S2-2409139	revised	SA2#164	SK Telecom, AT&...						AIML_CN
23.288	1104	2	B	18.6.0	Rel-19	New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs	S2-2408889	revised	SA2#164	SK Telecom, AT&...						AIML_CN
23.288	1104	1	B	18.6.0	Rel-19	New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs	S2-2408408	revised	SA2#164	SK Telecom, AT&...						AIML_CN
23.288	1104	-	B	18.6.0	Rel-19	New analytics ID to support Signalling storm Mitigation and Prevention caused by NFs	S2-2407534	revised	SA2#164	SK Telecom, AT&...						AIML_CN
23.288	1103	-	B	18.6.0	Rel-19	QoS policy assistance information analytics / ML model accuracy monitoring	S2-2407531		SA2#164	CATT, China Mob...						AIML_CN
23.288	1102	-	B	18.6.0	Rel-19	Model provisioning for QoS policy assistance information analytics	S2-2407530		SA2#164	CATT						AIML_CN
23.288	1101	-	B	18.6.0	Rel-19	NWDAF assisted QoS policy generation	S2-2407529	revised	SA2#164	CATT, China Mob...						AIML_CN
23.288	1100	1	B	18.6.0	Rel-19	Model training and provisioning for AI/ML based positioning	S2-2408884	merged	SA2#164	CATT, China Uni...						AIML_CN
23.288	1100	-	B	18.6.0	Rel-19	Model training and provisioning for AI/ML based positioning	S2-2407527	revised	SA2#164	CATT, China Uni...						AIML_CN
23.288	1099	-	B	18.6.0	Rel-19	AI/ML based positioning functional description	S2-2407526		SA2#164	CATT						AIML_CN
23.288	1097	-	B	18.6.0	Rel-19	QoS and policy assistance information analytic	S2-2407492	revised	SA2#164	Ericsson						AIML_CN
23.288	1096	-	B	18.6.0	Rel-19	KI#2 VFL training and inference	S2-2407491		SA2#164	Ericsson						AIML_CN
23.288	1095	-	B	18.6.0	Rel-19	KI#4 - Updates in input/output for signalling storm analytics report	S2-2407490		SA2#164	Ericsson						AIML_CN
23.501	5621	-	B	19.0.0	Rel-19	VFL support during the discovery of NWDAF, NEF, and AF instances	S2-2408657		SA2#164	ICS, Futurewei,...						AIML_CN
23.501	5598	-	B	19.0.0	Rel-19	KI#2 NEF extensions for VFL	S2-2408524	revised	SA2#164	Nokia						AIML_CN
23.501	5597	-	B	19.0.0	Rel-19	General description on Network Abnormal Behaviour Mitigation and Prevention	S2-2408516		SA2#164	China Telecom, ...						AIML_CN
23.501	5592	-	B	19.0.0	Rel-19	KI#2: New services for VFL	S2-2408500	withdrawn	SA2#164	Nokia						AIML_CN
23.501	5591	-	B	19.0.0	Rel-19	KI#2: NWDAF extensions for VFL	S2-2408493	revised	SA2#164	Nokia						AIML_CN
23.501	5590	-	B	19.0.0	Rel-19	KI#2 NRF extensions for VFL	S2-2408485	revised	SA2#164	Nokia						AIML_CN
23.501	5575	-	B	19.0.0	Rel-19	VFL support during the discovery of NWDAF, NEF, and AF instances	S2-2408409	withdrawn	SA2#164	ICS, Futurewei,...						AIML_CN
23.501	5563	-	B	19.0.0	Rel-19	NWDAF enhancements for Direct AI/ML positioning	S2-2408331		SA2#164	Huawei, HiSilicon						AIML_CN
23.501	5549	-	B	19.0.0	Rel-19	Vertical Federated Learning in TS 23.502	S2-2408225	withdrawn	SA2#164	KDDI Corporation						AIML_CN
23.501	5537	-	B	19.0.0	Rel-19	New analytics for signaling storm mitigation (TS 23.501)	S2-2408157		SA2#164	Vivo, SK Telecom						AIML_CN
23.501	5533	-	B	19.0.0	Rel-19	Vertical Federated Learning in TS 23.501	S2-2408130	revised	SA2#164	KDDI						AIML_CN
23.501	5515	-	B	19.0.0	Rel-19	KI#2: Enhancement of NWDAF and NEF to support Vertical Federated Learning	S2-2408049		SA2#164	ETRI						AIML_CN
23.501	5507	-	B	19.0.0	Rel-19	KI#1: Extending NWDAF description to cover model provisioning to LMF	S2-2408026	revised	SA2#164	Nokia						AIML_CN
23.501	5476	-	F	19.0.0	Rel-19	The consumer of ML model provision	S2-2407882		SA2#164	Qualcomm Incorp...						AIML_CN
23.501	5442	-	B	19.0.0	Rel-19	23.501 : NWDAF capability of QoS/Policy Assistance for NWDAF discovery and selection.	S2-2407693		SA2#164	ETRI						AIML_CN
23.501	5421	-	B	19.0.0	Rel-19	NWDAF discovery and selection for AI/ML based positioning	S2-2407561		SA2#164	CATT						AIML_CN
23.502	4992	-	B	19.0.0	Rel-19	Enhancement to NRF s discovery and registration procedures to support VFL	S2-2408658		SA2#164	ICS, Futurewei,...						AIML_CN
23.502	4979	-	B	19.0.0	Rel-19	KI#2: NEF service operation extensions for VFL	S2-2408533	withdrawn	SA2#164	Nokia						AIML_CN
23.502	4976	-	B	19.0.0	Rel-19	AF service enhancement to support timer information collection	S2-2408517		SA2#164	China Telecom						AIML_CN
23.502	4971	-	B	19.0.0	Rel-19	KI#2: NRF extensions for VFL	S2-2408487	revised	SA2#164	Nokia						AIML_CN
23.502	4960	-	B	19.0.0	Rel-19	Enhancement to NRF's discovery and registration procedures to support VFL	S2-2408411	withdrawn	SA2#164	ICS, Futurewei,...						AIML_CN
23.502	4952	-	B	19.0.0	Rel-19	NWDAF enhancements for Direct AI/ML positioning	S2-2408332		SA2#164	Huawei, HiSilicon						AIML_CN
23.502	4945	-	B	19.0.0	Rel-19	Vertical Federated Learning in TS 23.502	S2-2408259	revised	SA2#164	KDDI						AIML_CN
23.502	4938	-	B	19.0.0	Rel-19	Supporting authorization for data collection of AI model training in UDM	S2-2408212		SA2#164	Xiaomi						AIML_CN
23.502	4922	-	B	19.0.0	Rel-19	KI#2: Enhancement of NRF service for NWDAF and NEF to support Vertical Federated Learning	S2-2408054		SA2#164	ETRI						AIML_CN
23.502	4881	-	B	19.0.0	Rel-19	NWDAF capability to support Vertical Federated Learning in TS 23.502	S2-2407805	revised	SA2#164	LG Electronics						AIML_CN
23.502	4868	-	B	19.0.0	Rel-19	23.502 : NRF service enhancements for NWDAF with the capability of QoS/Policy Assistance	S2-2407719		SA2#164	ETRI						AIML_CN
23.502	4849	-	B	19.0.0	Rel-19	QFI Change event	S2-2407590	revised	SA2#164	NTT DOCOMO						AIML_CN
23.502	4842	-	B	19.0.0	Rel-19	NWDAF discovery for AI/ML based positioning via NRF	S2-2407562		SA2#164	CATT						AIML_CN
23.502	4839	-	B	19.0.0	Rel-19	Example mitigation actions for signalling storm caused by NF signalling	S2-2407533	revised	SA2#164	Nokia						AIML_CN
23.503	1340	-	B	19.0.0	Rel-19	Update on Policy decisions based on NWDAF	S2-2407917	revised	SA2#164	Huawei, HiSilicon						AIML_CN
23.503	1334	-	B	19.0.0	Rel-19	Enhancement to support NWDAF-assisted policy control and QoS enhancement	S2-2407886		SA2#164	Qualcomm Incorp...						AIML_CN
23.503	1328	-	B	19.0.0	Rel-19	Support for NWDAF-assisted policy control and QoS	S2-2407756	revised	SA2#164	Samsung						AIML_CN
23.503	1311	-	B	19.0.0	Rel-19	Policy decisions based on QoS policy assistance information analytics	S2-2407532	revised	SA2#164	CATT, China Mob...						AIML_CN
23.503	1303	-	B	19.0.0	Rel-19	PCF use of QoS and policy assistance information analytic	S2-2407493	revised	SA2#164	Ericsson						AIML_CN