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Paper Citation Record · LEDGER

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication

As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2504.21577.

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

pith.paper-citation-record.v1
2504.21577 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:03:07.670928Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:58:32.797786Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32589e56-6faa-47bf-82e8-c3b2d4ae1a98 · outbound

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

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Toward wisdom-evolutionary and primitive- concise 6G: A new paradigm of semantic communication networks,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:08.005360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.577538Z digest=sha256:295c2ce973c9d54efb4ea7626e54be16dca83f63d66fe1ac135ef21b9c3b9e8e

Observation ca37e9bb-70d3-43d1-a286-8a4623b5f999 · outbound

This paper cites Semantic communications based on adaptive generative models and information bottleneck,.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Semantic communications based on adaptive generative models and information bottleneck,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.989001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.581874Z digest=sha256:ad843b32948ee56a834e892f23583385f5a4b440e6c15aa29f6c5b89a08583c7

Observation dc2ac640-7b27-4e7a-a547-e3d044042834 · outbound

This paper cites Communication beyond transmitting bits semantics-guided source and channel coding,.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Communication beyond transmitting bits semantics-guided source and channel coding,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.972720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.586387Z digest=sha256:06e27f5b1d311347b80a2716d6c30e3664bdc48c052136c2e5f3c5c0aeefe4a0

Observation c2c31e70-14fd-4f65-9ecd-786d56eb7c42 · outbound

This paper cites Enhancing semantic communication with deep generative models: An overview,.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Enhancing semantic communication with deep generative models: An overview,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.958928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.590663Z digest=sha256:fd0e2ce4a6f5b8becf4502808a67ab93416e972f8be605a8e454f535ec87a0ce

Observation 1151ae9d-95e5-42ad-9417-dbfec77e7d13 · outbound

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

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Generative joint source-channel coding for semantic image transmission,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.944722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.596218Z digest=sha256:9a79f139438facc2c7fd75f67fc16d202b08b314e44f0e48e40afa7eb64fd12a

Observation aa5eb570-c0ca-4cbe-9a7d-562d6c2f6a00 · outbound

This paper cites Cddm: Channel denoising diffusion models for wireless semantic communica- tions,.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Cddm: Channel denoising diffusion models for wireless semantic communica- tions,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.930547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.603408Z digest=sha256:379b969c43a4565d414d285757ba87e24c8c9424f11cfafbc94bc5662f087dcf

Observation 7a965918-b8e8-4907-80ef-c47b70f5c9db · outbound

This paper cites Text + Sketch: Image Compression at Ultra Low Rates.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Text + Sketch: Image Compression at Ultra Low Rates

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T05:03:07.608317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:03:07.608317Z digest=sha256:a197ba26f6614f5c64905c9711d806cdd04f24063c751617b60196b773a4f3ca

Observation 52722298-e889-4d40-b620-a3e08f2a08f4 · outbound

This paper cites Rate-adaptive generative semantic communication using conditional diffusion models,.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Rate-adaptive generative semantic communication using conditional diffusion models,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.917501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.614056Z digest=sha256:dcb7be91ff90635739c95bd23d5405a9b3c0415ca2ed79640b8853d2411c2b51

Observation cd977d17-e023-43a1-a959-a797e14513d0 · outbound

This paper cites Diffcom: Channel received signal is a natural condition to guide diffusion posterior sampling,.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Diffcom: Channel received signal is a natural condition to guide diffusion posterior sampling,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.904911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.619318Z digest=sha256:db7685b00d41c0c9863fc5bbca4c59dc69b319ee020b080e4fc32a209a2903d3

Observation 93b93600-a861-45f4-9a3b-df5928c90511 · outbound

This paper cites Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T05:03:07.624319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:03:07.624319Z digest=sha256:86531160611a8f26a2f3eda3f9fb5ab832b03d03010a254a737e7faa57503d71

Observation fecfe5ac-e8a1-4b2c-9df7-2acb03dbc1e3 · outbound

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

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Nonlinear transform source-channel coding for semantic communications,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.891488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.629076Z digest=sha256:53e1eced44f4ab405c8ca5b9a0d16103ec49d2d10b215b40a00ffc3d041ef65e

Observation b426ac00-d32d-4ba4-b4cd-6a4521cdd48b · outbound

This paper cites Lossy image compression with conditional diffusion models,.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Lossy image compression with conditional diffusion models,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.878350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.633363Z digest=sha256:c1dfccb2a231536a2e1364d751608cc5bc69a6622e159d4f8f8c069c26974ab2

Observation 7c41de82-7486-4211-9a9a-e27f0b772395 · outbound

This paper cites Global context-aware progres- sive aggregation network for salient object detection,.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Global context-aware progres- sive aggregation network for salient object detection,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T05:03:07.636729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:03:07.636729Z digest=sha256:4ecb9c6a58088191d1d790db3dae949c02567a31e1a62bddea6cc044b5590a58

Observation 19b63edf-0fe8-4571-92ea-57805d095e24 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Progressive Distillation for Fast Sampling of Diffusion Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T05:03:07.641998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:03:07.641998Z digest=sha256:a93619ff65e9ac7eb46727af03ea8a67e5fe03b359ba04202a306a9f71a810ad

Observation fdd18111-8245-4432-9d43-69c5a6061b6d · outbound

This paper cites Denoising Diffusion Implicit Models.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Denoising Diffusion Implicit Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T05:03:07.647463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:03:07.647463Z digest=sha256:8b8d02a593e6b4d219c7f84625ab8682aaa48082e231f5bc48967a3c24e4d4c7

Observation 25b3a065-7cdf-4bc7-bd5a-191a4d8551cd · outbound

This paper cites Swinjscc: Taming swin transformer for deep joint source-channel coding,.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Swinjscc: Taming swin transformer for deep joint source-channel coding,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.857495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.651680Z digest=sha256:c2a61a9ccfbaf94df4526e06f95181bf5d6aa549e1965dd603a5a381ea7c1a61

Observation e937d68e-9917-4867-bfe1-19968b1b91ac · outbound

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

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication U-net: Convolutional networks for biomedical image segmentation,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.842848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.655460Z digest=sha256:2772a294f06e2b36d87908938200134a0fcf6ecd3b57cf45aca823b1993f800b

Observation 09dbfbbe-67be-43a0-a9f9-0f302067c7e4 · outbound

This paper cites DMCE: Diffusion model channel enhancer for multi-user semantic communication systems,.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication DMCE: Diffusion model channel enhancer for multi-user semantic communication systems,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.826203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.659238Z digest=sha256:9143da6f5312e36ba20c340e252a8d2fd72767247df6abed3fcc64a2e918a19d

Observation 3fcbd37e-6b4a-4f21-8378-38256712d3ca · outbound

This paper cites Language-oriented semantic communication for image transmission with fine-tuned diffusion model,.

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Language-oriented semantic communication for image transmission with fine-tuned diffusion model,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.810711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.663251Z digest=sha256:8a16b4761e90c06fa97edf5d602c71c85af33999500eb480952954120294ea6b

Observation c15da6c7-fa80-4c57-8d22-1d6e7afe0266 · outbound

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

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Multimodal semantic communication for generative audio-driven video conferencing,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.795884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.667012Z digest=sha256:d4d68d12148570214529b1c7c0228bd067c0ffb10c00d0bfb81add5e5ae548c8

Observation 3bddc045-0ba7-4dd1-ab58-4a1666ba5c50 · outbound

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

Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication Deep joint source- channel coding for wireless image transmission,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:03:07.781342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T05:03:07.670928Z digest=sha256:1c04f467bb1545bf4c2520229caf998839544bfadb550324ba15c1614ccb4b1e

Pith citing papers

Observation 583221bb-d5f8-454c-be41-7d9440d363ab · inbound

Synesthesia of Machines (SoM)-Empowered Wireless Image Transmission over Complex Dynamic Channel cites this paper.

Synesthesia of Machines (SoM)-Empowered Wireless Image Transmission over Complex Dynamic Channel Latent Feature-Guided Conditional Diffusion for Generative Image Semantic Communication

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T16:58:32.797786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:58:32.797786Z digest=sha256:becd80021f1e45c41142e181b99b9249e8cdff0779043a525005ab28ca0d13f4