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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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

Resolution
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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.007050Z digest=sha256:fe6b6704e5f717617885ad6ee8c9a66bbc96063d9b7ad96d3cb2a71d8a31ca1c

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=sha256:4034a57b7756f05038ab4649862db380f6e87bed914f1d55b06d55cd6af30604

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.014665Z digest=sha256:188cb5914ed8bca77ca70392d4368b1cdf0d4a909d5619692e5508e658e1ec31

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.018495Z digest=sha256:21502f497d50a74b3389569dbeb865be83017cb95dfacd79e7b82eed2999dcc9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.022389Z digest=sha256:12a3696e0cb5c8c852a9fa48f82d2ddd02a87e50c4b2a6ce0dc57f08c04fceaf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.025991Z digest=sha256:5250c5cd52aaeddb1bbd8824eb0c0c85a1ea5d1ba22593b0e11e3d4ed2a834c2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.029771Z digest=sha256:5311ac2fdfc09389118471d3a8e779fc425882595b7ef64555e7b1d6a21fdcc1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.033058Z digest=sha256:2c1bdf1402a7bf6e078de818e3fcb14b905230ceb1e8ef41a371955ff5267e1c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.036381Z digest=sha256:d715f33a85aa437ab84d6caf1753f93bdeecd7dc445cd1d8b9098e77cf2664e0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.040224Z digest=sha256:309c5e63bdb88a9063018e5e6b155f7cabc1f63cef0eb9c5e85b1a110ef86074

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.043474Z digest=sha256:aa769bcb793776f92225cf25669ffeece569851ba10ef75d2001434788e87a5a

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=sha256:70c0890586b02007fff91befa4cab95550e5204a421f730aeeb143ef9c1b39f9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.050265Z digest=sha256:52882bbce3563e57efc5bc0b6ae17aa88f5600f65eb0e3b627fa0b3fca188d99

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.053467Z digest=sha256:0b426e3d75597ba2b388e09b8906c67e06dc601ca55d63adb50a8f3ab5a50a1f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.056591Z digest=sha256:1008345f9a97784d68fef565075869e26a4d34c87933ebf3662bc2a6a68bab1f

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:e8688c1ae5a1a2206010cd2d5e7eccb39182d1a8c581db4c0f48253dee043123

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.062943Z digest=sha256:7fcc4543cb1780a2c3fb5c6c3ca19af88edb3aaf96acca8f320cf6ed2b7ede5a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.066409Z digest=sha256:b4fc7c25ab4028de62056b09438728b80a3d5eb287fa1ca3d71e1e0153b0317d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.070101Z digest=sha256:b08ff38ac97df3cc9a72aed0d58f7ec13f925868d21af4634ce3373ac593ed68

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.074138Z digest=sha256:43523bdc59effe67c4cf2b6c1c6050cdecb1e7217fa807e0d97981cc20af9f45

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.078154Z digest=sha256:51301a235f2e7225f20d79ef8eaf603875206debfeb7fed72bc7d3812b21a818

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.081476Z digest=sha256:3be99f9a6277f3ca1dd45683f6f0e913a09c0b42d20a41b2c0a4c3f97a58b2d1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.085034Z digest=sha256:3699d8b02d66e8e8e12584375161870d1ee7f978b7eb2385a0139a74e20820d5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.088471Z digest=sha256:d58f1891aee168feb0374685f95874f9740f81fd14243ba7acd4cd2d85473d39

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.092250Z digest=sha256:b7a10944ebb08697f1bb0556e83b9403beb03d7a151f0949b73ba0c119ff05b6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.096129Z digest=sha256:26278a112cba61328f411fe1fec574a7cd3f255236dc30069c2623aa86603b3b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.099459Z digest=sha256:54b07d2bd3ad81630cb249ed7b7d510020e02ecc477d88a99456c16bc0dcd7c8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.103350Z digest=sha256:540720a92d94ec21ac333f59725232e92a4bea663bbb8b3ca3d6001d748c76ec

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.106896Z digest=sha256:a60cb06f772683f95d82c83b3f1b6cbfc3524d973a54e0af84a3cec3214420df

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.111135Z digest=sha256:4c892ceb922604f06be11fbcd5acdfbd014e533aa205cb0e20314576f077348e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.114769Z digest=sha256:e78556bb82b27a73a7bac4a90ed99eeb33a0d52faae45769495902f76ede6910

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.118485Z digest=sha256:089b2f370d15b286113b7628e7a5abdedf10cb40e579d3c612dee09dd44fc31b

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=sha256:21924fa5854a92c1a35bf93b1732038cf0870ecb81f60c8dcb879d0756dddcbd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.125646Z digest=sha256:8d72029d4667fbd58e78ea2221006d89d4c83144e5974153ba1726799c6511af

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.129376Z digest=sha256:f46c519bdd474b8ba7267af46a86d075ffc3ff16ee7e059e8e56ffc9841b8d00

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.133555Z digest=sha256:c8f3f4d004758b65f8e711ffc4c17ce4eb52b880bfd4767880fd7418642490e3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.136895Z digest=sha256:d93339a1bceefd33688f43288b96cda3fdb044d421524360ffc1b1ebfb07bfee

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.140353Z digest=sha256:5fd548dab8d923454a37ad89a5a6b9950727b33e7ab4d2a75e297785b99de4a3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.143749Z digest=sha256:697a7046637e836c00a5e514437039cd98e684b5eb97f6c07d0c56d56a79876f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T05:50:26.147382Z digest=sha256:61882ef1645b7476e9fbbf53db49b6dccbff3fd557442570793937d088cfb56b

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:c6034fd53e5ae1ce426d52a9fc25862be81cb849a35eea33abaa8b852a0e9748

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:c242cccde36119a2a5637e459b589692f206b723f2ae0c756e6b0173d1c5a089

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T12:33:06.117387Z digest=sha256:46445fd303f5c62e077fac83b90840e3d2995d9130184f4c6ff92f8d5cd2da7b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:25:24.777956Z digest=sha256:291648f80292407f519912f4e30265ff18effdef1092d92edd06b2bd33c2a97d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T21:12:52.107475Z digest=sha256:578de859d3d5d0a1a053d91b519a13d4cdd78309b528e7be8f72b32aaea9ac31