Resource Allocation for the Training of Image Semantic Communication Networks | Paper Citation Record

Observation bf30401c-4255-4ab0-b20b-7c8ba293c5bb · outbound

This paper cites Transformer-empowered 6G intelligent networks: From massive MIMO processing to semantic communication,.

Resource Allocation for the Training of Image Semantic Communication Networks Transformer-empowered 6G intelligent networks: From massive MIMO processing to semantic communication,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.823288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d30f125c-d785-4467-b0c5-cf09da517749 · outbound

This paper cites Digital-twin- enabled 6G: Vision, architectural trends, and future directions,.

Resource Allocation for the Training of Image Semantic Communication Networks Digital-twin- enabled 6G: Vision, architectural trends, and future directions,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.813291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a3c7b87-f61e-453d-89d0-ab9842939e46 · outbound

This paper cites Joint optimization of task offloading and resource allocation in tactical edge networks,.

Resource Allocation for the Training of Image Semantic Communication Networks Joint optimization of task offloading and resource allocation in tactical edge networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.805483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2abc4ec6-63f8-4eef-bf78-020c9a077838 · outbound

This paper cites A survey on digital twins: architecture, enabling technologies, security and privacy, and future prospects,.

Resource Allocation for the Training of Image Semantic Communication Networks A survey on digital twins: architecture, enabling technologies, security and privacy, and future prospects,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.795973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31c50ba7-748a-452f-8394-0322cf577aee · outbound

This paper cites Model-assisted learning for adaptive cooperative perception of connected autonomous vehicles,.

Resource Allocation for the Training of Image Semantic Communication Networks Model-assisted learning for adaptive cooperative perception of connected autonomous vehicles,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.625807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a105d027-224f-42ce-ab8c-8758fe7238e2 · outbound

This paper cites Joint RAN slicing and computation offloading for autonomous vehicular networks: A learning-assisted hierarchical approach,.

Resource Allocation for the Training of Image Semantic Communication Networks Joint RAN slicing and computation offloading for autonomous vehicular networks: A learning-assisted hierarchical approach,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.524916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49004c39-d30b-4f93-8936-e5d2f929627d · outbound

This paper cites Continuous user authentication by contact- less wireless sensing,.

Resource Allocation for the Training of Image Semantic Communication Networks Continuous user authentication by contact- less wireless sensing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.516552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9ce1f2b-959c-4e75-b1db-e3b29c9b78a6 · outbound

This paper cites Blockchain-aided secure semantic communication for AI-generated content in metaverse,.

Resource Allocation for the Training of Image Semantic Communication Networks Blockchain-aided secure semantic communication for AI-generated content in metaverse,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.508541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01cfe4a4-3432-4dbe-9146-9e09f3a98695 · outbound

This paper cites Enabling the wireless metaverse via semantic multiverse communication,.

Resource Allocation for the Training of Image Semantic Communication Networks Enabling the wireless metaverse via semantic multiverse communication,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.497802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38c6292d-8694-4f14-a8d6-452d49aa00a5 · outbound

This paper cites MIRAS: Model- based reinforcement learning for microservice resource allocation over scientific workflows,.

Resource Allocation for the Training of Image Semantic Communication Networks MIRAS: Model- based reinforcement learning for microservice resource allocation over scientific workflows,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.488019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8c89c257-a25b-4a06-a0c6-20b95b2d4e17 · outbound

This paper cites Spectral- efficient RIS-aided RSMA URLLC: Toward mobile broadband reliable low latency communication (mBRLLC),.

Resource Allocation for the Training of Image Semantic Communication Networks Spectral- efficient RIS-aided RSMA URLLC: Toward mobile broadband reliable low latency communication (mBRLLC),

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.355017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a654bd9-008c-4272-aae2-1b5f93756b28 · outbound

This paper cites Computation offloading and resource allocation in IoT-based mobile edge computing systems,.

Resource Allocation for the Training of Image Semantic Communication Networks Computation offloading and resource allocation in IoT-based mobile edge computing systems,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.323767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 984fed57-bb41-483e-bb7d-55ed89a18733 · outbound

This paper cites an unresolved cited work.

Resource Allocation for the Training of Image Semantic Communication Networks Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:43:34.315132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f1746bbf-9b40-4a58-89cd-794d50fbc23f · outbound

This paper cites Semantic Communications: Principles and Challenges.

Resource Allocation for the Training of Image Semantic Communication Networks Semantic Communications: Principles and Challenges

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.064850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bc93626-ce40-4aaf-8d19-a974a49ffc0e · outbound

This paper cites Deep learning- enabled semantic communication systems with task-unaware transmitter and dynamic data,.

Resource Allocation for the Training of Image Semantic Communication Networks Deep learning- enabled semantic communication systems with task-unaware transmitter and dynamic data,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.306557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72aca316-37fa-4007-971b-1780350613c2 · outbound

This paper cites Deep learning enabled semantic communication systems,.

Resource Allocation for the Training of Image Semantic Communication Networks Deep learning enabled semantic communication systems,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.094946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e260207-02a5-4f2e-9a3e-dc074ea4251e · outbound

This paper cites Extended context-based semantic communication system for text transmission,.

Resource Allocation for the Training of Image Semantic Communication Networks Extended context-based semantic communication system for text transmission,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.184367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9b3acd1-047f-4d36-a526-7d0993a01ee5 · outbound

This paper cites Semantic text compression for classification,.

Resource Allocation for the Training of Image Semantic Communication Networks Semantic text compression for classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.050806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a6b5aa8-528d-4e3a-a35e-f0b3110d3555 · outbound

This paper cites A robust deep learning enabled semantic communication system for text,.

Resource Allocation for the Training of Image Semantic Communication Networks A robust deep learning enabled semantic communication system for text,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.042818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ac5fdcd-574f-4203-9034-080442209e9f · outbound

This paper cites Deep learning-based image semantic coding for semantic communications,.

Resource Allocation for the Training of Image Semantic Communication Networks Deep learning-based image semantic coding for semantic communications,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:34.036401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0ced528-bc12-49d1-9907-00890c2083ee · outbound

This paper cites Wireless end-to-end image transmission system using semantic communications,.

Resource Allocation for the Training of Image Semantic Communication Networks Wireless end-to-end image transmission system using semantic communications,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.964198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce4d37db-c6dd-479e-a8b1-1bf2fa4f2f03 · outbound

This paper cites Dif- fusion models for audio semantic communication,.

Resource Allocation for the Training of Image Semantic Communication Networks Dif- fusion models for audio semantic communication,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.308017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d36b350a-3c7e-449e-bd74-a53beeae91ac · outbound

This paper cites Wireless semantic commu- nications for video conferencing,.

Resource Allocation for the Training of Image Semantic Communication Networks Wireless semantic commu- nications for video conferencing,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.311612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50ca6d4e-7070-4bb1-8ed5-dc9f227c3c05 · outbound

This paper cites Attention is all you need,.

Resource Allocation for the Training of Image Semantic Communication Networks Attention is all you need,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.314703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e3b225-beac-4467-9156-96988bafc632 · outbound

This paper cites A survey of transfer learning,.

Resource Allocation for the Training of Image Semantic Communication Networks A survey of transfer learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.871813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c78effad-807c-4715-94bf-e31b678f7a2b · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

Resource Allocation for the Training of Image Semantic Communication Networks Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.322906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ecae1f0-b2d0-4bd6-9406-2fa8af1eb819 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Resource Allocation for the Training of Image Semantic Communication Networks Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.327560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19a63485-6b7e-4ad1-a937-4c23b393f953 · outbound

This paper cites Semantic communication systems for speech transmission,.

Resource Allocation for the Training of Image Semantic Communication Networks Semantic communication systems for speech transmission,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.432236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28401623-142b-487e-ad50-f1b13b63847f · outbound

This paper cites Resource allocation for text semantic communications,.

Resource Allocation for the Training of Image Semantic Communication Networks Resource allocation for text semantic communications,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.503385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb4de344-059b-4380-afd7-2a99923c0d15 · outbound

This paper cites QoE-aware resource allocation for semantic communication networks,.

Resource Allocation for the Training of Image Semantic Communication Networks QoE-aware resource allocation for semantic communication networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.855362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44732dfc-0e0b-4533-8c32-47cf94fb9ed1 · outbound

This paper cites Performance optimization for semantic communications: An attention- based reinforcement learning approach,.

Resource Allocation for the Training of Image Semantic Communication Networks Performance optimization for semantic communications: An attention- based reinforcement learning approach,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.805505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f6d2036-513c-4130-90ef-e7eea9880645 · outbound

This paper cites Energy efficient semantic communication over wireless networks with rate splitting,.

Resource Allocation for the Training of Image Semantic Communication Networks Energy efficient semantic communication over wireless networks with rate splitting,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.686295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 286d9b42-27d3-4242-b467-3d1e1dccae60 · outbound

This paper cites Drl-driven dynamic resource allocation for task-oriented semantic communication,.

Resource Allocation for the Training of Image Semantic Communication Networks Drl-driven dynamic resource allocation for task-oriented semantic communication,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.678728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af460ffc-ef47-4855-bdda-b8e64025da40 · outbound

This paper cites Optimization of image transmission in a cooperative semantic communication networks,.

Resource Allocation for the Training of Image Semantic Communication Networks Optimization of image transmission in a cooperative semantic communication networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.671507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a53b64b-d19f-4d2e-b8f6-1b68b806cf95 · outbound

This paper cites An efficient federated learning framework for training semantic communication systems,.

Resource Allocation for the Training of Image Semantic Communication Networks An efficient federated learning framework for training semantic communication systems,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.663005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4520180-e863-4b90-af4c-17fcb29b4f4f · outbound

This paper cites Federated learning-based co- operative model training for task-oriented semantic communication,.

Resource Allocation for the Training of Image Semantic Communication Networks Federated learning-based co- operative model training for task-oriented semantic communication,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.578238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5f18e186-d116-4f3c-bfd0-da187b0575fa · outbound

This paper cites Federated contrastive learning for personalized semantic communication,.

Resource Allocation for the Training of Image Semantic Communication Networks Federated contrastive learning for personalized semantic communication,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.569066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f054c66-5a0c-4655-a1ef-5cedf1c36b9b · outbound

This paper cites Deep joint source- channel coding for wireless image transmission,.

Resource Allocation for the Training of Image Semantic Communication Networks Deep joint source- channel coding for wireless image transmission,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.544738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb66ddfe-2daa-4aa6-b933-85ceea576ff3 · outbound

This paper cites Image restoration under semantic communications,.

Resource Allocation for the Training of Image Semantic Communication Networks Image restoration under semantic communications,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.555659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3633d0fa-4c75-4eda-bd5d-cfe0b7c535fa · outbound

This paper cites Semantic change driven generative semantic communication framework,.

Resource Allocation for the Training of Image Semantic Communication Networks Semantic change driven generative semantic communication framework,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.547442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32b4e38b-f567-4eea-a287-fdd1a422fda8 · outbound

This paper cites HFEL: Joint edge asso- ciation and resource allocation for cost-efficient hierarchical federated edge learning,.

Resource Allocation for the Training of Image Semantic Communication Networks HFEL: Joint edge asso- ciation and resource allocation for cost-efficient hierarchical federated edge learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.356777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56d382c7-cb32-4ee3-951a-a5c8a3e1308c · outbound

This paper cites Energy efficient federated learning over wireless communication networks,.

Resource Allocation for the Training of Image Semantic Communication Networks Energy efficient federated learning over wireless communication networks,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.678053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7884ad27-1521-434c-a524-7fe4752efa95 · outbound

This paper cites Federated learning over wireless networks: Convergence analysis and resource allocation,.

Resource Allocation for the Training of Image Semantic Communication Networks Federated learning over wireless networks: Convergence analysis and resource allocation,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.768084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57278460-0943-459b-9246-e931213a132e · outbound

This paper cites DetFed: Dynamic resource scheduling for deterministic federated learning over time-sensitive networks,.

Resource Allocation for the Training of Image Semantic Communication Networks DetFed: Dynamic resource scheduling for deterministic federated learning over time-sensitive networks,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.774388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13006b6c-6c26-4186-83c6-07972cbadc95 · outbound

This paper cites Joint optimization of en- ergy consumption and completion time in federated learning,.

Resource Allocation for the Training of Image Semantic Communication Networks Joint optimization of en- ergy consumption and completion time in federated learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.244830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3f29ecd-8718-4061-a802-9f1505a60c62 · outbound

This paper cites To talk or to work: Flexible communication compression for energy efficient federated learning over heterogeneous mobile edge devices,.

Resource Allocation for the Training of Image Semantic Communication Networks To talk or to work: Flexible communication compression for energy efficient federated learning over heterogeneous mobile edge devices,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.233902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c86cb1d6-f987-48d7-a83a-85650251c8d2 · outbound

This paper cites Toward semantic communications: Deep learning-based image semantic coding,.

Resource Allocation for the Training of Image Semantic Communication Networks Toward semantic communications: Deep learning-based image semantic coding,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.224879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7587a641-f48c-4bf3-8a68-df638b6d2dc1 · outbound

This paper cites Se- mantic segmentation-based semantic communication system for image transmission,.

Resource Allocation for the Training of Image Semantic Communication Networks Se- mantic segmentation-based semantic communication system for image transmission,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.026413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b6e13c0-dce8-4125-a3f1-a7c51247c7b3 · outbound

This paper cites Innovative semantic communication system.

Resource Allocation for the Training of Image Semantic Communication Networks Innovative semantic communication system

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:43:32.206434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3df2d46-0c53-41b2-918f-7a80dd4ddfb1 · outbound

This paper cites Fair end-to-end window-based congestion control in time-varying data communication networks,.

Resource Allocation for the Training of Image Semantic Communication Networks Fair end-to-end window-based congestion control in time-varying data communication networks,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:33.006863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77a6144d-33dd-411e-a0fa-8577532b5745 · outbound

This paper cites Reward optimization for content providers with mobile data subsidization: A hierarchical game approach,.

Resource Allocation for the Training of Image Semantic Communication Networks Reward optimization for content providers with mobile data subsidization: A hierarchical game approach,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.997525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d58f52b-a0a4-440a-a770-07d0163e213b · outbound

This paper cites Cambini and L.

Resource Allocation for the Training of Image Semantic Communication Networks Cambini and L

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.989629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c25927d3-289d-4102-b7dc-65fed81fce91 · outbound

This paper cites An efficient global optimization algorithm for nonlinear sum- of-ratios problem,.

Resource Allocation for the Training of Image Semantic Communication Networks An efficient global optimization algorithm for nonlinear sum- of-ratios problem,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.981455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ccd228b-1d4a-44e8-b75c-56e5a767f283 · outbound

This paper cites Fractional programming for communication systems—Part I: Power control and beamforming,.

Resource Allocation for the Training of Image Semantic Communication Networks Fractional programming for communication systems—Part I: Power control and beamforming,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.970575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c35329ed-ac69-40f7-b2d9-a71f2799bf8f · outbound

This paper cites Fractional programming for communication systems—Part II: Uplink scheduling via matching,.

Resource Allocation for the Training of Image Semantic Communication Networks Fractional programming for communication systems—Part II: Uplink scheduling via matching,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.800860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1aab7fb7-1248-4d64-a7f1-c6ba877296a5 · outbound

This paper cites an unresolved cited work.

Resource Allocation for the Training of Image Semantic Communication Networks Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.835459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fafb02a5-e9bd-41e0-b667-f38cd91cdcaa · outbound

This paper cites Deep joint source-channel coding for semantic communications,.

Resource Allocation for the Training of Image Semantic Communication Networks Deep joint source-channel coding for semantic communications,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T21:43:31.914441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 182d034b-7ed0-4cba-aeec-626df10be613 · outbound

This paper cites Joint source-channel coding for channel-adaptive digital semantic communications,.

Resource Allocation for the Training of Image Semantic Communication Networks Joint source-channel coding for channel-adaptive digital semantic communications,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.784719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1812a39f-83cb-4679-a3d1-e7e61f10c79e · outbound

This paper cites Cddm: Channel denoising diffusion models for wireless communications,.

Resource Allocation for the Training of Image Semantic Communication Networks Cddm: Channel denoising diffusion models for wireless communications,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.778369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d445019d-6411-494d-8809-3006d3accd5a · outbound

This paper cites Optimizing utility-energy efficiency for the metaverse over wireless networks under physical layer security,.

Resource Allocation for the Training of Image Semantic Communication Networks Optimizing utility-energy efficiency for the metaverse over wireless networks under physical layer security,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.769620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 20f5f5ac-6ab8-4464-ad37-72c8226c3453 · outbound

This paper cites Wireless image transmission with semantic and security awareness,.

Resource Allocation for the Training of Image Semantic Communication Networks Wireless image transmission with semantic and security awareness,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.618755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a87d7328-4b01-432b-a19e-f6bab70cfd22 · outbound

This paper cites Semantic communications for image recovery and classification via deep joint source and channel coding,.

Resource Allocation for the Training of Image Semantic Communication Networks Semantic communications for image recovery and classification via deep joint source and channel coding,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.593989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c2a4ed9-cb57-403a-aa00-cf335f7b29cc · outbound

This paper cites Drl-based energy- efficient resource allocation frameworks for uplink noma systems,.

Resource Allocation for the Training of Image Semantic Communication Networks Drl-based energy- efficient resource allocation frameworks for uplink noma systems,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.583982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 678f5f01-09ea-453e-89d1-2ee76264b67c · outbound

This paper cites A drl-driven intelligent optimization strategy for resource allocation in cloud-edge-end cooperation environments,.

Resource Allocation for the Training of Image Semantic Communication Networks A drl-driven intelligent optimization strategy for resource allocation in cloud-edge-end cooperation environments,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.461044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 82ee3b39-65a1-48c7-b79f-3a1417db1c5d · outbound

This paper cites Deep reinforcement learning- based resource allocation in multi-access edge computing,.

Resource Allocation for the Training of Image Semantic Communication Networks Deep reinforcement learning- based resource allocation in multi-access edge computing,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.452270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cacac782-378b-48f5-987a-9d68db89e789 · outbound

This paper cites Mobile edge adversarial detection for digital twinning to the metaverse: A deep reinforcement learning approach,.

Resource Allocation for the Training of Image Semantic Communication Networks Mobile edge adversarial detection for digital twinning to the metaverse: A deep reinforcement learning approach,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.442475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10cd6f69-2608-4164-aaac-f85741c4aeea · outbound

This paper cites Counterfactual reward estimation for credit assignment in multi-agent deep reinforcement learn- ing over wireless video transmission,.

Resource Allocation for the Training of Image Semantic Communication Networks Counterfactual reward estimation for credit assignment in multi-agent deep reinforcement learn- ing over wireless video transmission,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.331348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7206fae5-4b10-4e69-a03e-6a81d993c948 · outbound

This paper cites Her research interests include Optimization, Federated Learning, Wireless Communications.

Resource Allocation for the Training of Image Semantic Communication Networks Her research interests include Optimization, Federated Learning, Wireless Communications

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:43:32.245460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers