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Paper Citation Record · LEDGER

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 4 inbound Pith citation observations for arXiv:2508.01205.

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

pith.paper-citation-record.v1
2508.01205 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:50:26.151278Z

measured 46 of 46 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:43:33.085873Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T12:37:53.418100Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12de92c8-d085-4467-aeb0-90acad9f351b · outbound

This paper cites Intellicise wireless networks from semantic commu- nications: A survey, research issues, and challenges,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Intellicise wireless networks from semantic commu- nications: A survey, research issues, and challenges,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.631083Z

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 473b030f-f50b-4918-a28b-12de54d72048 · outbound

This paper cites Recent contributions to the mathematical theory of com- munication,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Recent contributions to the mathematical theory of com- munication,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.619637Z

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=2026-08-06T05:50:26.007050Z digest=sha256:68c6deeb41a45165f97577dbce92559063b06ef806912fb6c281b52611256831

Observation c4d313d7-b76e-4cc6-a557-e09de52cf951 · outbound

This paper cites A mathematical theory of communication,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication A mathematical theory of communication,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T05:50:26.010901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:50:26.010901Z digest=sha256:931c5f5772abf3db72df79c0b1f99b91fbbc9d4a98aff4a90661fb56fcf81e52

Observation 1b5881f9-0809-4cdc-83a7-867858927bef · outbound

This paper cites Toward wisdom-evolutionary and primitive-concise 6G: A new paradigm of semantic communication networks,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Toward wisdom-evolutionary and primitive-concise 6G: A new paradigm of semantic communication networks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.601269Z

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=2026-08-06T05:50:26.014665Z digest=sha256:10d8370cdf8558249b8d304517641ae99637a9d6ce1fc98417dd67c851119a2a

Observation 2220e647-7a86-4cf7-a7e9-b839ac768d4e · outbound

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

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Semantic communications: Overview, open issues, and future research directions,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.589646Z

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=2026-08-06T05:50:26.018495Z digest=sha256:173c199bf9fb644f6375cb121254958227046ed4346cbe6b28a9579e724734f5

Observation e73c8b08-2122-4eef-a1dd-c054768faf28 · outbound

This paper cites A paradigm shift toward semantic communications,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication A paradigm shift toward semantic communications,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.578703Z

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=2026-08-06T05:50:26.022389Z digest=sha256:ffdd47f0ddfe6b222cf1ae1f6aacb83ff7378da864b8ded2115f26eef4eaaad2

Observation 52dd848e-496f-4955-826d-95ac44f116b6 · outbound

This paper cites Semantic communication system based on semantic slice models propagation,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Semantic communication system based on semantic slice models propagation,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.567395Z

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=2026-08-06T05:50:26.025991Z digest=sha256:1ec80c37dc6961df270a99df2f8c346472162be992e3d12028ea828375189ebd

Observation 274f397e-9cb8-451f-bf6a-3c86e8f2ac3d · outbound

This paper cites Model division multiple access for semantic communi- cations,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Model division multiple access for semantic communi- cations,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.555960Z

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=2026-08-06T05:50:26.029771Z digest=sha256:14d0e84718062c1f0dee93d46210370eddeb979214d92e10858684e4d36311dc

Observation e918fc6c-5d20-4182-bf68-adb5e4889923 · outbound

This paper cites MDVSC—Efficient wireless model division video se- mantic communication,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication MDVSC—Efficient wireless model division video se- mantic communication,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.545228Z

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=2026-08-06T05:50:26.033058Z digest=sha256:bc0914ed047c26858b81582af5367d8c093facb3e20fbeb2fc1eb44f44ad8cb5

Observation c843681f-efb3-4710-897e-45f05ab8bb0a · outbound

This paper cites Deep learning enabled semantic communication systems,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Deep learning enabled semantic communication systems,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.534856Z

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=2026-08-06T05:50:26.036381Z digest=sha256:1255a90090805a22555c615c39d95e0a6964e19d7cbf06d6db338732cb366e18

Observation a2f9a979-da1d-4675-b187-b08ba174dcc6 · outbound

This paper cites Deep learning for joint source- channel coding of text,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Deep learning for joint source- channel coding of text,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.523436Z

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=2026-08-06T05:50:26.040224Z digest=sha256:c29d75cf5c872e206a3d71606bb8eec751bd72868f70927e3e4d17e9db3f82a2

Observation 4c2004f9-381c-4415-b277-adf0d203f6bf · outbound

This paper cites A perceptually mo- tivated approach for low-complexity speech semantic communication,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication A perceptually mo- tivated approach for low-complexity speech semantic communication,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.511479Z

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=2026-08-06T05:50:26.043474Z digest=sha256:1414f1909dbb2905398e59dbdcb99d4871c76fbb2d597c1296809247db9647bf

Observation 4c706058-c6c0-433c-96af-2a17ec696bce · outbound

This paper cites Semantic communication systems for speech transmission,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Semantic communication systems for speech transmission,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T05:50:26.046930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:50:26.046930Z digest=sha256:f80439488ead06c880c23ef80e1280e7b93aea5f7b677dc12cf17ff2610dcf54

Observation 07c5699e-ad08-48b2-b9f7-94d1f8efad21 · outbound

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

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Deep joint source- channel coding for wireless image transmission,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.494309Z

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=2026-08-06T05:50:26.050265Z digest=sha256:b5dcce7e958e704318bbeb686f4aaf6a3161414fc912c8e25524be57881e6635

Observation bfdbb3c2-e672-4e44-b4d0-9819d5035219 · outbound

This paper cites DeepJSCC-f: Deep joint source-channel coding of images with feedback,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication DeepJSCC-f: Deep joint source-channel coding of images with feedback,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.483606Z

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=2026-08-06T05:50:26.053467Z digest=sha256:37bf3cca2d9ed8f61e0d52a2d29465e02ea0b471ea6204a57135a3faa7a756a7

Observation c807db48-8edb-43db-8ff7-705d14a951c2 · outbound

This paper cites A specific task-oriented semantic image communication system for substation patrol inspection,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication A specific task-oriented semantic image communication system for substation patrol inspection,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.472567Z

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=2026-08-06T05:50:26.056591Z digest=sha256:13450fde31d4496ec69d4fa2f4be598e254fb88dee7c09447081e28fcb4bcc00

Observation 10bd0196-d523-4704-baba-7a0cb797af17 · outbound

This paper cites Nonlinear transform source-channel coding for semantic communications,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Nonlinear transform source-channel coding for semantic communications,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T05:50:26.059694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:50:26.059694Z digest=sha256:335df7d9a71893fc9e1a18325d86f612e02f6f05079e29119dceacf7d7fdcf34

Observation 1f6d4b89-28e9-485c-83ca-935dddfd0d59 · outbound

This paper cites W AFI-VSC: Wireless adaptive frame interpolation video semantic communication,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication W AFI-VSC: Wireless adaptive frame interpolation video semantic communication,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.454761Z

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=2026-08-06T05:50:26.062943Z digest=sha256:4c2791543d0a36851e568ef04476814e833aa3013cd8dd938882e7e08274a522

Observation 21268f44-db15-468b-8fe3-d592a04a860d · outbound

This paper cites Agent-driven generative semantic communication with cross-modality and prediction,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Agent-driven generative semantic communication with cross-modality and prediction,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.444300Z

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=2026-08-06T05:50:26.066409Z digest=sha256:2d40d7865e7548368cd14c75def5018ca0078a05d5468fbadb75dc668f43b3ee

Observation 28309d32-0ab5-4808-9619-c9c0b545e90e · outbound

This paper cites Wireless semantic communi- cations for video conferencing,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Wireless semantic communi- cations for video conferencing,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.433468Z

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=2026-08-06T05:50:26.070101Z digest=sha256:286d942dca88143c1a0a3502ba9cd4b07bd6693eea0f37c396ec96b9050bce41

Observation 78983770-eafc-45a4-bfcd-105e7f93d206 · outbound

This paper cites A semantic communication and vvc based hybrid video coding system,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication A semantic communication and vvc based hybrid video coding system,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.423563Z

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=2026-08-06T05:50:26.074138Z digest=sha256:fd36c3e76cf4a3e5df3cbbda6892798c8c27ab9bf49b76743d87edf7e5d77a80

Observation 3fac6c59-1154-4362-8834-5b786c4d1ae5 · outbound

This paper cites Multimodal se- mantic communication for generative audio-driven video conferencing,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Multimodal se- mantic communication for generative audio-driven video conferencing,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.413217Z

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=2026-08-06T05:50:26.078154Z digest=sha256:9d77ea689d21b1411d881760d071c076536111bdceda2ac756e77fdcdb1f744e

Observation 794e8aee-fa24-4f14-adea-39a4300a49e4 · outbound

This paper cites Toward adaptive semantic communications: Efficient data transmission via online learned nonlinear transform source-channel coding,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Toward adaptive semantic communications: Efficient data transmission via online learned nonlinear transform source-channel coding,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.403316Z

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=2026-08-06T05:50:26.081476Z digest=sha256:1f38b75738ac20a0d6f7cbb82152cf812417a790bcdbce4025a3632fd79783de

Observation 032af3bb-8a99-4776-a2b4-106850045673 · outbound

This paper cites DSCS: A decoupled semantic communication system for video conferencing,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication DSCS: A decoupled semantic communication system for video conferencing,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.392890Z

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=2026-08-06T05:50:26.085034Z digest=sha256:5e4632bdfea4899e3d8ebca16ee727ec09ebbcb36f250d3a5f43393cf83a0eb4

Observation b636cbd7-02d7-4322-a997-8490008472ca · outbound

This paper cites Wireless deep video semantic transmission,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Wireless deep video semantic transmission,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.382093Z

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=2026-08-06T05:50:26.088471Z digest=sha256:9acb498b176fc99af70f8459bd10e7a1452085047d4a1cd8880f547ab25f28c2

Observation f532f911-572e-4f13-a705-169ff37d1173 · outbound

This paper cites DeepWiVe: Deep-learning-aided wireless video transmission,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication DeepWiVe: Deep-learning-aided wireless video transmission,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.371888Z

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=2026-08-06T05:50:26.092250Z digest=sha256:18cb2683872c161bb0e7c446abe5e18a417a8caa2f7c16adff2678c24df75d7a

Observation c49ba882-22b5-497e-a969-a03f81b334f5 · outbound

This paper cites an unresolved cited work.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:50:26.361653Z

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=2026-08-06T05:50:26.096129Z digest=sha256:26b1e0d5f8133c27d3433998e322379f2992589c5730c1917f082a06101e52a4

Observation ffd90c4d-133f-4abd-add6-49e50414b143 · outbound

This paper cites Diffusion-based wireless semantic communication for VR image,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Diffusion-based wireless semantic communication for VR image,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.350619Z

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=2026-08-06T05:50:26.099459Z digest=sha256:0305aaf5550ee0d54715d23b3b81b9ab2a79d205f3614422eca5e5266645bf07

Observation a2fdcb16-eacd-4d26-8b9f-f22d19b8dfd0 · outbound

This paper cites A semantic communication system for point cloud,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication A semantic communication system for point cloud,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.340069Z

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=2026-08-06T05:50:26.103350Z digest=sha256:9cd487452e8eb3a9c1e61aad3c20323d1a90ae8098562d141449a31c2ad20900

Observation 471c21fe-b612-427f-a001-3e48e9960f74 · outbound

This paper cites sDMCM—Semantic digital modulation constellation mapping scheme for semantic communication,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication sDMCM—Semantic digital modulation constellation mapping scheme for semantic communication,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.329475Z

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=2026-08-06T05:50:26.106896Z digest=sha256:59c34b3a415db701a3bc793850c9b62a1740d3622a709a4a3cc99d0cd0ef2192

Observation d6daf8e3-e272-4b05-93f0-26eb6cfc7dce · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.317910Z

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=2026-08-06T05:50:26.111135Z digest=sha256:314145afc71ea80e2d23a1a92a1daac08db350e5170b31d942da81ae040d5dfa

Observation 5e08e350-5341-40d6-9b34-1d44e760ebd9 · outbound

This paper cites SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.306580Z

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=2026-08-06T05:50:26.114769Z digest=sha256:60b0dee3c15992530686ca600fd09d4cfb5617531bc4c79d14fe52ecc21800e9

Observation c526716c-b289-428b-a95d-f57fa18e58f0 · outbound

This paper cites Video Swin transformer,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Video Swin transformer,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.294147Z

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=2026-08-06T05:50:26.118485Z digest=sha256:2dcd6eade40e62b90474b8e2b2d6bc0dc89920c372695130aa2a85dd8057ec5d

Observation 79243f07-90b9-4ad0-ab98-5a36281f278c · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T05:50:26.121911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:50:26.121911Z digest=sha256:d06839206acb6b1ff75a461116defbdca4e1ba556fe8f6679178ce4fc363e826

Observation 5a63803b-c150-4b05-a9cb-6e9627302bf2 · outbound

This paper cites Video enhance- ment with task-oriented flow,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Video enhance- ment with task-oriented flow,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.281062Z

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=2026-08-06T05:50:26.125646Z digest=sha256:d7b67a08bf3958faabb1b19d68411cd1017a60cd03130d02627b47ad7b4b77bb

Observation 7f962495-c849-4bc0-8897-f1a991303e30 · outbound

This paper cites Common test conditions and software reference configurations,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Common test conditions and software reference configurations,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.269602Z

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=2026-08-06T05:50:26.129376Z digest=sha256:3006a4010f546ce05916a5de8fc520ac49c57be39f52152389541da2c04b07b4

Observation bb9b5795-7c04-4e29-8353-8cc8aecc581c · outbound

This paper cites UVG dataset: 50/120fps 4K sequences for video codec analysis and development,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication UVG dataset: 50/120fps 4K sequences for video codec analysis and development,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.256372Z

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=2026-08-06T05:50:26.133555Z digest=sha256:4c96ecfce12ba6f131172d55aaabe039165abc4668b7c512ac243aec3f8e05de

Observation 29db623d-43ca-40b7-b844-7e5cdefe55c9 · outbound

This paper cites Overview of the H.264/A VC video coding standard,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Overview of the H.264/A VC video coding standard,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.244730Z

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=2026-08-06T05:50:26.136895Z digest=sha256:c05c6788b77a346112f766ede65a5d6a8553f63026f684363d9f9404e70ee92f

Observation 2393ba39-d019-4122-b7d5-dc3b8c6d4d6f · outbound

This paper cites Overview of the high efficiency video coding (HEVC) standard,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Overview of the high efficiency video coding (HEVC) standard,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.232818Z

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=2026-08-06T05:50:26.140353Z digest=sha256:ec21e8f19c6394e98f9dca6887052d16d1f7903d46404387732edf8848598bf5

Observation a35aa491-96f3-48b2-bc9e-801b23c9d88a · outbound

This paper cites Design of low-density parity check codes for 5G new radio,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Design of low-density parity check codes for 5G new radio,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.221633Z

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=2026-08-06T05:50:26.143749Z digest=sha256:c38ab3cbd09d23f491fd864734471be2699c1baef2727d75e0e1f9f353854b77

Observation 5d1def90-8466-4126-9ebe-29aff4538dd9 · outbound

This paper cites Multiscale structural similarity for image quality assessment,.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication Multiscale structural similarity for image quality assessment,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:50:26.208549Z

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=2026-08-06T05:50:26.147382Z digest=sha256:733450a5394fd22e6dc5b8823fd747670a4eaf4f70a11834e47146b653f5ed57

Observation 47cc4d6a-531f-477c-8cdf-347f864549ed · outbound

This paper cites End-to-end Optimized Image Compression.

Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication End-to-end Optimized Image Compression

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T05:50:26.151278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:50:26.151278Z digest=sha256:12e09957100a6ed314ce11f35d08a8b1f3c87fa0cd3b6f0ee1d530b8f3a6a1db

Pith citing papers

Observation d294962a-61b0-4f4f-a57c-6142d07b1be1 · inbound

SITP: A High-Reliability Semantic Information Transport Protocol Without Retransmission for Semantic Communication cites this paper.

SITP: A High-Reliability Semantic Information Transport Protocol Without Retransmission for Semantic Communication Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T06:43:33.085873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:43:33.085873Z digest=sha256:3a43faebfbee7d63ddcac1c2e1a3fef6c5896fc784dfa281c25d5f3de02378c2

Observation 1ba9d7b7-b94d-499d-8322-4de699e0d7f5 · inbound

Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication cites this paper.

Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:37:53.420429Z

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=2026-05-16T12:33:06.117387Z digest=sha256:da53c7ea38e6be917296eacf2b63b3b61e116d051da0056670a4bfadbf61e6f8

Observation 2e4f5905-c817-4fe8-8df3-5288f06b8c8c · inbound

Adaptive Semantic Communication for Wireless Image Transmission Leveraging Mixture-of-Experts Mechanism cites this paper.

Adaptive Semantic Communication for Wireless Image Transmission Leveraging Mixture-of-Experts Mechanism Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:28:14.026508Z

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=2026-05-13T20:25:24.777956Z digest=sha256:fe172e1e8642b85646ae8ef915713eb73f6a23d8b844db06f5ecae24c4a26634

Observation 71170560-2b64-4489-a5bc-f0e79558d7cf · inbound

SPAT: A Semantic Port-Aware Adaptive-Rate Transmission Protocol for Semantic Communication cites this paper.

SPAT: A Semantic Port-Aware Adaptive-Rate Transmission Protocol for Semantic Communication Conquering High Packet-Loss Erasure: MoE Swin Transformer-Based Video Semantic Communication

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:41:31.014523Z

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=2026-05-09T21:12:52.107475Z digest=sha256:0b09eb372237b56155ac6745327bcb79cae22019553b7729ecfe51d10c9f0d55