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Paper Citation Record · LEDGER

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications

As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 3 inbound Pith citation observations for arXiv:2411.17428.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.17428 v3

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:11:21.351535Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:09:49.046063Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T05:35:44.626451Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy27
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe52a007-6889-4c87-abd9-478c91433acd · outbound

This paper cites A mathematical theory of communication,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications A mathematical theory of communication,

Reference 1

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no resolver link, observed 2026-08-12T12:11:21.203147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:21.203147Z digest=sha256:8f254a23b3cdcd85caa0e4b8f979d1fe60d5a10c63106fbb0848a31a147f477e

Observation 1fed1a06-71d7-48c9-baec-176f063dd274 · outbound

This paper cites Breaking the interference and fading gridlock in backscatter communications: State- of-the-art, design challenges, and future directions,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Breaking the interference and fading gridlock in backscatter communications: State- of-the-art, design challenges, and future directions,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.812221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.208244Z digest=sha256:92fe569438a38ebb94be815073cc82c5917f53c49252e353a7ac2f903be02408

Observation 13fc7a69-0921-4044-848d-221e53aa43e9 · outbound

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

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications A lite distributed semantic communication system for internet of things,

Reference 3

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no resolver link, observed 2026-08-12T12:11:21.212686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:21.212686Z digest=sha256:d15fbfd79d3ff56b644ea6833ab6dcbb16175f1b7d77d88ebb277058ceb1f919

Observation 25da085f-487b-4dc9-9174-5439753ccca1 · outbound

This paper cites Semantic communications: Overview, open issues, and future research directions,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Semantic communications: Overview, open issues, and future research directions,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.789027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.217324Z digest=sha256:9652828859fe1763e129aabe26a3e60453dea29b6ac9984a15b154bc54050b10

Observation 30ebd3bc-aef0-475c-9096-1e2d1c6264c3 · outbound

This paper cites Rethinking modern communication from semantic coding to semantic communication,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Rethinking modern communication from semantic coding to semantic communication,

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.774343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.222080Z digest=sha256:7680d04ddfb6d63cc724872287a874e13eb211bf6ff8a3df89889efec8914e45

Observation 22950c76-8dc8-4466-889b-b2c4ea773567 · outbound

This paper cites Semantic communications for digital signals via carrier images,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Semantic communications for digital signals via carrier images,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.759983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.227599Z digest=sha256:2cfdf008bb24b5c396a72b6e397612e29307cff3d304d5bcaaee9f0661f7a9e4

Observation 8540152c-6dca-4ee0-b018-d61e3b15e584 · outbound

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

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Toward semantic communications: Deep learning-based image semantic coding,

Reference 7

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no resolver link, observed 2026-08-12T12:11:21.233675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:21.233675Z digest=sha256:14a71f38d6826e76f59d66123262ba7ecb51b367a268a2523395179b45dfd2c9

Observation 03b854e3-8bb3-4866-beaf-17e7e07bc183 · outbound

This paper cites Deep learning enabled semantic communication systems,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Deep learning enabled semantic communication systems,

Reference 8

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no resolver link, observed 2026-08-12T12:11:21.238079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:21.238079Z digest=sha256:0f5e616eb638fd67d87322088ff0fd461eea9fe927b2c34c7236893bd531e0c7

Observation 00a5282a-6b10-4181-b106-af8afe212fa4 · outbound

This paper cites Trading computing power for reducing communication loads: A semantic communication perspective,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Trading computing power for reducing communication loads: A semantic communication perspective,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.725416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.242601Z digest=sha256:d990aacad68b3c47629437e843acdc7b8e84fe12790f51c97a9c0c22f68d84cd

Observation ded21420-cbd6-4ebe-9ff8-8fd6f90e40d4 · outbound

This paper cites Computation-aware offload- ing for dnn inference tasks in semantic communication assisted mec systems,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Computation-aware offload- ing for dnn inference tasks in semantic communication assisted mec systems,

Reference 10

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raw_fallback, observed 2026-08-12T12:11:21.709946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.247071Z digest=sha256:f74ba4554b3bea4ac7532a3ec1d1d5f00b56c81b4613d6c18a8e013315fc60ec

Observation 348b9298-f1e6-47f0-b9a5-00b75ddedcac · outbound

This paper cites Predictive and adaptive deep coding for wireless image transmission in semantic communication,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Predictive and adaptive deep coding for wireless image transmission in semantic communication,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.694812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.252233Z digest=sha256:76a590a5dbb2b44d497ef03c563c397b7d7126c50a1e0f6c852e543b3befcdb6

Observation e2ed91d7-60a4-47dd-b063-a0aecf362f16 · outbound

This paper cites A gan-based semantic communication for text without csi,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications A gan-based semantic communication for text without csi,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.680341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.256713Z digest=sha256:2d780a91f189cddccafb47017830a09f2135d2ea5eae5af5391f994b5eb2d9c9

Observation 87e1e96c-4282-461e-9f7a-4568d3d5faf1 · outbound

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

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Cddm: Channel denoising diffusion models for wireless semantic communications,

Reference 13

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raw_fallback, observed 2026-08-12T12:11:21.665356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.261060Z digest=sha256:16b3360d2bc855f94b501c07f493a7a4544fdfbc70a5de81c96dd113fc70a245

Observation 1e575234-b4ab-4875-b6da-b9c9827acae7 · outbound

This paper cites Latency-aware generative semantic communications with pre-trained diffusion models,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Latency-aware generative semantic communications with pre-trained diffusion models,

Reference 14

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unresolved
no resolver link, observed 2026-08-12T12:11:21.265854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:21.265854Z digest=sha256:7edb3e54e481d24b2392b6afb476f5aedac8e4cc87e629129c6a9638eef6a0f3

Observation 08c0e884-f815-464e-a726-080c24bc9ff9 · outbound

This paper cites Semantic communication for multi-modal data transmission,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Semantic communication for multi-modal data transmission,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.642521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.270212Z digest=sha256:c8205f893997342f4830831a21bd5cebf63fae7d470445e869e9e190a6f9d0cd

Observation 062b4249-53b8-411a-b0c0-ab6c7805fd8c · outbound

This paper cites A novel lightweight joint source- channel coding design in semantic communications,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications A novel lightweight joint source- channel coding design in semantic communications,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.629368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ac18064e-2f3e-4f23-901a-7abc0c8c3163 · outbound

This paper cites Semantic- enabled 6g communication: A task-oriented and privacy-preserving perspective,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Semantic- enabled 6g communication: A task-oriented and privacy-preserving perspective,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.614905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.279063Z digest=sha256:4a84621505dbd2f33aacb48c5158496243f67fdb0cb02121d578978ec766afea

Observation 5af9b365-727f-485c-89b5-ff26a008012e · outbound

This paper cites Task-oriented communication for graph data: A graph information bottleneck approach,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Task-oriented communication for graph data: A graph information bottleneck approach,

Reference 18

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raw_fallback, observed 2026-08-12T12:11:21.600340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.283458Z digest=sha256:4bdeb170935bd87ae750b5a976042edd3e0b83c45a1a51a249f7385c4b559c49

Observation 934addb2-090a-49dd-a999-a1fe9f64670c · outbound

This paper cites Trustworthy image semantic communication with genai: Explainablity, controllability, and efficiency,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Trustworthy image semantic communication with genai: Explainablity, controllability, and efficiency,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.586896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.287648Z digest=sha256:5ea0a6e8999be67909b0f80ee20ee723ba478fd94ae61e3a36a054e05296269d

Observation aa37bfb6-7948-4b55-874f-e19f071086b6 · outbound

This paper cites Generative ai for physical layer communications: A survey,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Generative ai for physical layer communications: A survey,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.573238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.292320Z digest=sha256:9b080999e0d632c1260e210bba838ecbbf200a79c3d1a0146b007931862c883d

Observation a608605c-3ae9-4626-a883-aa81e3ab09be · outbound

This paper cites Generative ai-driven semantic communication networks: Architecture, technologies and applications,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Generative ai-driven semantic communication networks: Architecture, technologies and applications,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.558894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.296547Z digest=sha256:741050aec5831f743b50450f3cd4ea3c50107f0f361e86a78a4a17d9f822f64c

Observation d13699ad-82d4-466e-89b0-42346b53b3a4 · outbound

This paper cites Selection-based image generation for semantic communication systems,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Selection-based image generation for semantic communication systems,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.542981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.300980Z digest=sha256:8d3ccd0131006028bcbafa69248612ac4a49fddf3b0d2015c9b39bfd543f7be4

Observation 99d5e2ff-9e1d-4567-9a03-2800cce94557 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Imagenet classification with deep convolutional neural networks,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.528993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.306158Z digest=sha256:ce8fc9c1cc44bfa731d51c586f5673bfdbd9b65f0a568dc6e7cf4cdf087bf133

Observation 64b0b122-af5b-4abc-b8f8-c248f9b22616 · outbound

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

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Learning transferable visual models from natural language supervision,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.514600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.310802Z digest=sha256:0e8378493718dae859642a27ef46e968b2434d1770481570de92c31533030040

Observation d3aae9c0-2808-4f3b-8c65-94b07df8ec9d · outbound

This paper cites Enhancing multimodal understanding with clip-based image-to-text transformation,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Enhancing multimodal understanding with clip-based image-to-text transformation,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.500660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.315094Z digest=sha256:257ac24fb4e8da6b5e92f011f4ad814c4d9645919819c2526e889c5292f9f7ac

Observation 5b636a43-70b8-4e59-9986-a964b53cffa0 · outbound

This paper cites Conditional text image generation with diffusion models,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Conditional text image generation with diffusion models,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.486389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.319266Z digest=sha256:eb1cc96719d530fb51b71471f497c1be28e1909c6e19e669008314b90588d39c

Observation b85d32d1-d264-4937-a124-c5ef6af6944a · outbound

This paper cites Deep residual learning for image recognition,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Deep residual learning for image recognition,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T12:11:21.323753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:11:21.323753Z digest=sha256:cc9c909c67091bc4d3907ebda55ac50f032a4a1a02721477d705695b96cbb74f

Observation e99c85f7-17c0-4a63-9b3f-08b134cacdde · outbound

This paper cites Clip-kd: An empirical study of clip model distillation,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Clip-kd: An empirical study of clip model distillation,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.461519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 397b8aa2-84c3-4376-a086-8e83f8256782 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications U-net: Convolutional networks for biomedical image segmentation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.444884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a1da8533-c993-4525-b856-ea12a5a69e3c · outbound

This paper cites Unipc: A unified predictor- corrector framework for fast sampling of diffusion models,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Unipc: A unified predictor- corrector framework for fast sampling of diffusion models,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.431167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.337981Z digest=sha256:4a00dcfae8b40a32abc7294f161edc1a488d4a43c5cf5e2e7e97b0cc1239efeb

Observation 3e3e191a-f7a4-4fc4-a191-091055cc7b52 · outbound

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

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Deep joint source- channel coding for wireless image transmission,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.416847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.342201Z digest=sha256:2844a4c72753d720b75b3a87d0cfc01a1b25a9983c2d8abf648b2ff787cefc45

Observation cd7dced8-c6ae-473d-93c5-7b0d5a262994 · outbound

This paper cites Lamosc: Large language model-driven semantic communication system for visual trans- mission,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Lamosc: Large language model-driven semantic communication system for visual trans- mission,

Reference 32

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raw_fallback, observed 2026-08-12T12:11:21.402759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.347316Z digest=sha256:64e62e03e18b6c0aac42bbd370c72f6cf850ca6d10bd95ce5d9a1cd7c97307a2

Observation 50e5da31-c000-4382-9104-2303975e8ce1 · outbound

This paper cites Witt: A wireless image transmission transformer for semantic communications,.

Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications Witt: A wireless image transmission transformer for semantic communications,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-12T12:11:21.387978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T12:11:21.351535Z digest=sha256:38ae6ff7059a5423ccb8afb00918cbeb65bef2f0f48677c01215c64039d5ee82

Pith citing papers

Observation fee23d38-bd0e-42a9-808f-9e4a774f93b1 · inbound

Semantic Communications for Digital Signals via Carrier Images cites this paper.

Semantic Communications for Digital Signals via Carrier Images Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T19:09:49.046063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:09:49.046063Z digest=sha256:a8d6c3702dc31026a26e78005f0819b2f0453de7c93ce235a8fb1e7d11514c26

Observation 4fc899e9-5342-4ec0-be4f-5a92972b6b1e · inbound

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences cites this paper.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications

Reference 187

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:35:44.704352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T05:35:39.755283Z digest=sha256:8c60fa13ad548466d026863920c522fbe6fa0b0da730c2d60abae327e1bc4403

Observation 8d20c318-54d4-416e-b7ba-48b7351346ec · inbound

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications cites this paper.

A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications

Reference 137

Resolution
unresolved
no resolver link, observed 2026-08-03T06:46:16.374227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:46:16.374227Z digest=sha256:829b67fee858652b28fe9ee20d809170d5894800a826b44b8d75a4d71c4de8bd