SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning | Paper Citation Record

Observation 66eceda9-c964-4d1a-ae94-80144fbc3d53 · outbound

This paper cites Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:50.868212Z

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Observation f03a6ee0-d2eb-4934-b87a-63ad86e5e9d9 · outbound

This paper cites an unresolved cited work.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-05T12:59:50.624896Z

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Observation e6897344-d63f-42d5-b112-f4612a0aab3c · outbound

This paper cites AI empowered wireless communications: From bits to semantics,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning AI empowered wireless communications: From bits to semantics,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:50.448490Z

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Observation 75610fd3-f420-4e11-aa68-f6ec06e1062f · outbound

This paper cites Task-oriented communication design in cyber-physical systems: A survey on theory and applications,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Task-oriented communication design in cyber-physical systems: A survey on theory and applications,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:50.242034Z

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Observation 2cbcdcd1-dae2-4c74-b24d-57c00200188e · outbound

This paper cites Robust semantic communications against semantic noise,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Robust semantic communications against semantic noise,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:50.011557Z

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Observation 862219fc-8293-4bd1-80eb-ab776905486d · outbound

This paper cites Learning task-oriented communication for edge inference: An information bottleneck approach,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Learning task-oriented communication for edge inference: An information bottleneck approach,

Reference 6

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Observation e35c2cf3-7c58-4a2a-989b-e3588618316c · outbound

This paper cites Privacy-preserving task-oriented semantic communications against model inversion attacks,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Privacy-preserving task-oriented semantic communications against model inversion attacks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:49.610290Z

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Observation 32fba905-0e40-4acd-8f32-6eb41cf66ec7 · outbound

This paper cites Blockchain-based efficient and trustworthy aigc services in metaverse,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Blockchain-based efficient and trustworthy aigc services in metaverse,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:49.341688Z

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Observation f39260c6-e004-461c-bf4e-c7f20ca5f843 · outbound

This paper cites A lite distributed semantic communication system for internet of things,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning A lite distributed semantic communication system for internet of things,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:49.098751Z

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Observation df8ffd32-be58-4824-826e-146d4d8521a0 · outbound

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

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Deep joint source- channel coding for wireless image transmission,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:48.920275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 96491d02-abe8-4307-818f-51a1890f0256 · outbound

This paper cites Self-supervised learning: Generative or contrastive,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Self-supervised learning: Generative or contrastive,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T12:59:32.487428Z

Source-reported events for the cited work

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Observation 61147b15-9f98-42bf-8d83-b7fb196337fa · outbound

This paper cites A mathematical theory of communication,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning A mathematical theory of communication,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T12:59:32.564465Z

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Observation 2d5f01ba-fcda-411f-89d0-3b041cf67c76 · outbound

This paper cites The Shannon sampling theorem—Its various extensions and applications: A tutorial review,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning The Shannon sampling theorem—Its various extensions and applications: A tutorial review,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:48.771870Z

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Observation 2d3f43ce-0af2-49b5-abf8-c8f26db027ac · outbound

This paper cites From semantic communication to semantic-aware networking: Model, architecture, and open problems,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning From semantic communication to semantic-aware networking: Model, architecture, and open problems,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:48.616617Z

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Observation b019d2af-d96b-498a-a221-6e98206168b3 · outbound

This paper cites Internet of Things (IoT) communication protocols: Review,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Internet of Things (IoT) communication protocols: Review,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:48.482556Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6c7369f8-5d21-4538-8b8f-ebf56ee9b569 · outbound

This paper cites A survey on communication protocols and performance evaluations for internet of things,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning A survey on communication protocols and performance evaluations for internet of things,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:48.376116Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a1b2b9f5-540d-4074-b8ea-92c53840486b · outbound

This paper cites Research directions for the Internet of Things,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Research directions for the Internet of Things,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:48.182523Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 678bca76-5426-4496-b856-f31850099420 · outbound

This paper cites Deep learning enabled semantic communication systems,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Deep learning enabled semantic communication systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:47.890392Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 92995215-275c-446b-9f4c-b1180f6815ca · outbound

This paper cites A Unified Multi-Task Semantic Communication System for Multimodal Data.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning A Unified Multi-Task Semantic Communication System for Multimodal Data

Reference 19

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Observation cc3aa601-f3fd-454d-bec0-84d510047317 · outbound

This paper cites Task-Oriented Multi-User Semantic Communications,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Task-Oriented Multi-User Semantic Communications,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:47.562003Z

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Observation f713ea74-f38c-4246-9bdb-6bd2e9299641 · outbound

This paper cites Semantic communication with memory,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Semantic communication with memory,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:47.281260Z

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Observation eec066eb-292c-405f-9bb8-00c44eb2cc45 · outbound

This paper cites Adaptable Semantic Com- pression and Resource Allocation for Task-Oriented Communications,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Adaptable Semantic Com- pression and Resource Allocation for Task-Oriented Communications,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:47.047478Z

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Observation 30ff5f74-8b7f-40a0-9fe6-92531f748408 · outbound

This paper cites DeepJSCC-f: Deep Joint Source-Channel Coding of Images With Feedback,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning DeepJSCC-f: Deep Joint Source-Channel Coding of Images With Feedback,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:46.779360Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1e1afd00-f420-4d4f-a814-12826945c3fe · outbound

This paper cites Deep Joint Source- Channel Coding for Wireless Image Transmission,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Deep Joint Source- Channel Coding for Wireless Image Transmission,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:46.473884Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44df3b09-7b4b-4899-b263-233bf1a19cf9 · outbound

This paper cites AdaSem: Adaptive Goal-Oriented Semantic Communications for End-to-End Camera Relocalization,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning AdaSem: Adaptive Goal-Oriented Semantic Communications for End-to-End Camera Relocalization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:46.109864Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a83ca65a-5453-48a2-a346-f734d77946bd · outbound

This paper cites Contrastive learning-based semantic communications,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Contrastive learning-based semantic communications,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:45.812401Z

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Observation 229f7629-4390-46d2-bee5-596d458e1fbb · outbound

This paper cites DeepMA: End-to-end deep multiple access for wireless image transmission in semantic communication,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning DeepMA: End-to-end deep multiple access for wireless image transmission in semantic communication,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:45.488442Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9aea4265-45c7-4993-a396-b77096055fc8 · outbound

This paper cites Generative joint source-channel coding for semantic image transmission,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Generative joint source-channel coding for semantic image transmission,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:45.141624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 989c0e61-3255-447f-bbc4-9d9b690bb718 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Learning transferable visual models from natural language supervision,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:44.832328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b14a708e-19ef-47cc-8f71-bfcfb03e0440 · outbound

This paper cites Information constraints on auto-encoding variational bayes,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Information constraints on auto-encoding variational bayes,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:44.548038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 10bfd856-395f-4249-b574-1381cd71dfbc · outbound

This paper cites Deep learning enabled semantic communication systems,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Deep learning enabled semantic communication systems,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:44.270212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 268fa604-307a-4720-a32c-6c4ec47550d6 · outbound

This paper cites Learning robust representations via multi-view information bottleneck,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Learning robust representations via multi-view information bottleneck,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 40d2a001-b167-476f-823a-7443a2f24650 · outbound

This paper cites To compress or not to compress—self- supervised learning and information theory: A review,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning To compress or not to compress—self- supervised learning and information theory: A review,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:43.676773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d983b577-18c7-46d6-a2c4-9d2dfcd44268 · outbound

This paper cites Deep learning and the information bot- tleneck principle,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Deep learning and the information bot- tleneck principle,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:43.401163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 066aab23-f827-417c-a2fd-3bfe017b5ca0 · outbound

This paper cites Task-oriented communication with out-of-distribution detection: An information bottleneck framework,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Task-oriented communication with out-of-distribution detection: An information bottleneck framework,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:43.078714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b8bb50f9-3935-4c5c-8592-180252644f22 · outbound

This paper cites Discovering Invariant Rationales for Graph Neural Networks,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Discovering Invariant Rationales for Graph Neural Networks,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5b1890c0-cfe5-4dbe-a565-e9d3938a350d · outbound

This paper cites Learning invariant representations and risks for semi-supervised domain adaptation,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Learning invariant representations and risks for semi-supervised domain adaptation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:42.495332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ee0eee1-af70-48a1-8995-ef2ee5c939ec · outbound

This paper cites Rethinking infonce: How many negative samples do you need?.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Rethinking infonce: How many negative samples do you need?

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:42.217679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fe402bef-a2d3-4753-943f-66f9302d8f3e · outbound

This paper cites VICReg: Variance-invariance- covariance regularization for self-supervised learning,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning VICReg: Variance-invariance- covariance regularization for self-supervised learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:41.957936Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 647dfec1-c479-46f4-957b-d686371646c9 · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Barlow twins: Self-supervised learning via redundancy reduction,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:41.671817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 372a594a-e793-469d-a5f2-b439a14343b9 · outbound

This paper cites Causality inspired representation learning for domain generalization,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Causality inspired representation learning for domain generalization,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:41.399571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 572f2620-c44b-4f86-8dcd-b257b1193aa1 · outbound

This paper cites Generalizable heterogeneous federated cross- correlation and instance similarity learning,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Generalizable heterogeneous federated cross- correlation and instance similarity learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:41.033084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c7b3090c-03cc-4a3e-9e11-a854c12f0d2c · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning A simple framework for contrastive learning of visual representations,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:40.776419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2bf65a18-55e5-4eb5-8759-f7cd818f6678 · outbound

This paper cites Rethinking minimal sufficient representation in contrastive learning,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Rethinking minimal sufficient representation in contrastive learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:40.556018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a9709d35-355c-42d5-8ede-9f5fa811a125 · outbound

This paper cites Deep learning and the information bottleneck principle,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Deep learning and the information bottleneck principle,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:40.208295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 35aee4d4-7eda-4fc3-83e2-f03a3ae11f66 · outbound

This paper cites Learning multiple layers of features from tiny images,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Learning multiple layers of features from tiny images,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:39.948367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6b0800e7-dc7c-4e2b-bd91-9301729cd20a · outbound

This paper cites EMNIST: Extending mnist to handwritten letters,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning EMNIST: Extending mnist to handwritten letters,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:39.679247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bdb8c0f4-faa0-43cd-9058-cbd350caf3cb · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T12:59:35.660314Z

Source-reported events for the cited work

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Observation adbbd6d4-63a4-4953-b6c3-f7f38899a49c · outbound

This paper cites An analysis of single-layer networks in unsupervised feature learning,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning An analysis of single-layer networks in unsupervised feature learning,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:39.366650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 88be60f3-ff81-4556-a152-64662bd197db · outbound

This paper cites A visual vocabulary for flower clas- sification,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning A visual vocabulary for flower clas- sification,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:39.102194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4b784932-2d03-4c54-a97a-02a28dae5571 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning The cityscapes dataset for semantic urban scene understanding,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:38.845392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ffd22304-d021-41fd-ba63-b59e6f8d5b82 · outbound

This paper cites Deeper, broader and artier domain generalization,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Deeper, broader and artier domain generalization,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:38.610315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e65d9303-cab4-47c0-886c-5df8f1027027 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Gaussian Error Linear Units (GELUs)

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T12:59:36.187488Z

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Observation d0e48b25-6cf1-4879-bbee-6b830333851f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Adam: A Method for Stochastic Optimization

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T12:59:36.307434Z

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Observation d58b2bff-c19c-48c3-9b09-44fc614699ad · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:38.405707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 36a7db0c-745c-4b2d-84cf-ceb85a6c5f32 · outbound

This paper cites SGDR: Stochastic gradient descent with warm restarts,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning SGDR: Stochastic gradient descent with warm restarts,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:38.246400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f95b7413-039e-41ec-9da3-2bb021db4516 · outbound

This paper cites Deep residual learning for image recognition,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Deep residual learning for image recognition,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T12:59:36.567493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8feb3c-c213-4c0b-a077-14133f61e10d · outbound

This paper cites Contrastive learning-based semantic communications,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Contrastive learning-based semantic communications,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:38.070824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1b44e06e-6ad0-4589-9532-8db744f543bb · outbound

This paper cites Deep learning enabled semantic communication systems,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Deep learning enabled semantic communication systems,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:37.906851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3820e821-49f7-49d9-82ae-f3f865d23bc6 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T12:59:36.905474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42111f8e-c0d3-4de8-990b-188c4009df42 · outbound

This paper cites Refign: Align and refine for adaptation of semantic segmentation to adverse conditions,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Refign: Align and refine for adaptation of semantic segmentation to adverse conditions,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:37.717084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b1a896a6-2e02-44ba-8bf6-9a640ce2cbf7 · outbound

This paper cites Map-guided curriculum domain adaptation and uncertainty-aware evaluation for semantic nighttime im- age segmentation,.

SC-GIR: Goal-oriented Semantic Communication via Invariant Representation Learning Map-guided curriculum domain adaptation and uncertainty-aware evaluation for semantic nighttime im- age segmentation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:59:37.530816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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