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Paper Citation Record · LEDGER

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework

As of 6 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2606.12899.

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

pith.paper-citation-record.v1
2606.12899 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:04:21.699055Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

23 of 23 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78921f39-c812-4f68-ad33-1a817ac7faec · outbound

This paper cites From specialist to large models: A paradigm evolution towards semantic-aware mimo,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework From specialist to large models: A paradigm evolution towards semantic-aware mimo,

Reference 1

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Observation 83fc7c3a-2e33-4c98-a820-a3aa62485245 · outbound

This paper cites Generative video semantic communication via multimodal semantic fusion with large model,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Generative video semantic communication via multimodal semantic fusion with large model,

Reference 2

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Observation 239aff9c-f7da-4d2f-b6b7-fa22a30e5e9c · outbound

This paper cites Wireless deep video semantic transmission,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Wireless deep video semantic transmission,

Reference 3

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Observation 2fc0c4f3-a7cc-47f0-8c5a-a3a43fd8e539 · outbound

This paper cites Multimodal semantic communication for generative audio-driven video conferenc- ing,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Multimodal semantic communication for generative audio-driven video conferenc- ing,

Reference 4

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Observation a8deffd9-b4b6-4924-b8ce-dfa3383fabf2 · outbound

This paper cites Videoqa-sc: Adaptive semantic communication for video question answering,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Videoqa-sc: Adaptive semantic communication for video question answering,

Reference 5

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Observation 8d3ccc5e-ac83-4c42-a60b-723a4fd339cd · outbound

This paper cites Token communications: A large model-driven framework for cross-modal context-aware semantic communications,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Token communications: A large model-driven framework for cross-modal context-aware semantic communications,

Reference 6

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Observation 21b60e4a-2f12-452a-9a19-503064754e10 · outbound

This paper cites Large model enabled embodied intelligence for 6g integrated perception, communication, and computation network.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Large model enabled embodied intelligence for 6g integrated perception, communication, and computation network

Reference 7

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verified exact
arxiv_id, observed 2026-07-03T16:08:37.717523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 0add877f-e306-488a-a3d0-50c3ef4f4ca0 · outbound

This paper cites Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Reference 8

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local_arxiv, observed 2026-07-03T16:08:37.720232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c290b9d0-4801-4d78-bd4d-306337f9a4a4 · outbound

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

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Latency-aware generative semantic communications with pre-trained diffusion models,

Reference 9

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Observation 4616608a-7ff4-4704-aea3-62d5275a7267 · outbound

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

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Nonlin- ear transform source-channel coding for semantic communications,

Reference 10

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Observation 0c1c810f-3eaa-4d12-807a-d0c70a8e516b · outbound

This paper cites Tifa: Accurate and interpretable text-to-image faithful- ness evaluation with question answering,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Tifa: Accurate and interpretable text-to-image faithful- ness evaluation with question answering,

Reference 11

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Observation 50426aa5-3517-4dfd-ac71-a45308579799 · outbound

This paper cites Unifying flow, stereo and depth estimation,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Unifying flow, stereo and depth estimation,

Reference 12

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Observation bbfe3f8f-a111-452f-8c5d-c68857f44582 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks,

Reference 13

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Observation 44df08be-f599-42ea-a1f3-9c930eea6c06 · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Open-Sora: Democratizing Efficient Video Production for All

Reference 14

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verified exact
local_arxiv, observed 2026-07-03T16:08:37.714736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 28e14851-d7ee-4854-87c9-1b73009403ec · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Frozen in time: A joint video and image encoder for end-to-end retrieval,

Reference 15

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Observation 2bd989a5-9e90-4f51-bec5-957bea0cca2e · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Quo vadis, action recognition? a new model and the kinetics dataset,

Reference 16

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Observation deb367fc-007b-4440-887c-6167318a1eb3 · outbound

This paper cites Advanced video coding for generic audiovisual services.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Advanced video coding for generic audiovisual services

Reference 17

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Observation e7b91330-ba1e-48aa-bfb7-f256f64de775 · outbound

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

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Overview of the high efficiency video coding (hevc) standard,

Reference 18

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Observation ee33e238-b676-4561-bd8e-89d3d6f5576e · outbound

This paper cites Pllava: Parameter-free llava extension from images to videos for video dense captioning,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Pllava: Parameter-free llava extension from images to videos for video dense captioning,

Reference 19

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Observation 49708279-affc-4bf3-8eb9-1ff1063ab2ad · outbound

This paper cites Is space-time attention all you need for video understanding?,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Is space-time attention all you need for video understanding?,

Reference 20

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Observation 511da301-28d9-4551-9d37-2115e72e3da3 · outbound

This paper cites Depth anything v2,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Depth anything v2,

Reference 21

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source=pdf_text observed=2026-06-27T06:04:21.699055Z digest=sha256:1270b248eca132a03239fe0878af852f44205a6522e85ce1cf1f19021b510fb2

Observation 28a08cbc-4954-4e0b-9ed8-4e8ea66d4b7f · outbound

This paper cites Bertscore: Evaluating text generation with bert,.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework Bertscore: Evaluating text generation with bert,

Reference 22

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Observation 7257c769-7afb-4f19-b5c2-a96d422498c2 · outbound

This paper cites No”) andP(“Yes.

LGVSC: A Large-Model-Driven Generative Video Semantic Communication Framework No”) andP(“Yes

Reference 23

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Pith citing papers

No inbound Pith citation observations are available.