Paper Citation Record · LEDGER

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2601.03112.

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

pith.paper-citation-record.v1
2601.03112 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T12:26:40.101386Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:27:57.034391Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T15:47:06.420541Z

Reference resolution

47 of 47 outbound references displayed

verified exact0
verified fuzzy0
unresolved47
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89ab36b1-87aa-489b-8c92-51510e16651e · outbound

This paper cites Joint source and channel coding,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Joint source and channel coding,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:35.444976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a8d79a5-9978-4a69-847d-5d830549009b · outbound

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

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Deep joint source- channel coding for wireless image transmission,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:35.557828Z

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Observation 45291601-c12a-40b6-ac01-bc99415d660a · outbound

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

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Deepjscc-f: Deep joint source-channel coding of images with feedback,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:35.662514Z

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Observation 92335a50-7ad9-4080-8a7c-18cd9b81b4dc · outbound

This paper cites Bandwidth-agile image transmission with deep joint source- channel coding,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Bandwidth-agile image transmission with deep joint source- channel coding,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:35.817540Z

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Unavailable: canonical work link unavailable.

Observation 7deac8f4-b4fd-48ee-8068-6330dfee0bfd · outbound

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

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Swinjscc: taming swin transformer for deep joint source-channel coding,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:35.938727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e737442f-1db9-4394-8f98-db44282ff230 · outbound

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

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Nonlinear transform source-channel coding for semantic communications,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:36.065995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e76bb25c-e124-4efe-b048-9f4130f47aad · outbound

This paper cites Improved nonlinear transform source-channel coding to catalyze semantic com- munications,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Improved nonlinear transform source-channel coding to catalyze semantic com- munications,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:36.186549Z

Source-reported events for the cited work

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Observation cfd5a0ea-5a3c-4667-a86c-3c8f4443e38f · outbound

This paper cites Ofdm-guided deep joint source channel coding for wireless multipath fading channels,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Ofdm-guided deep joint source channel coding for wireless multipath fading channels,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:36.235718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa90519d-8467-49cd-9397-904a410bce73 · outbound

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

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Generative joint source-channel coding for semantic image transmission,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:36.332811Z

Source-reported events for the cited work

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Observation 45c231a1-3419-4ea2-b000-9a9ac99ac3d5 · outbound

This paper cites Rate-distortion-perception controllable joint source-channel coding for high-fidelity generative semantic communications,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Rate-distortion-perception controllable joint source-channel coding for high-fidelity generative semantic communications,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:36.412588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bcf6aa4-fddf-4423-a44d-3b4b4aabd3c5 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations The unreasonable effectiveness of deep features as a perceptual metric,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:36.536756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 881c266d-c4d5-47b1-b059-c44244dec153 · outbound

This paper cites Image quality assess- ment: Unifying structure and texture similarity,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Image quality assess- ment: Unifying structure and texture similarity,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:36.646359Z

Source-reported events for the cited work

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Observation f5553520-da21-4a40-9d4a-da18e12c1a34 · outbound

This paper cites Learning new dimensions of human visual similarity using syn- thetic data,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Learning new dimensions of human visual similarity using syn- thetic data,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:36.798413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 104a9576-d011-4fb0-8c37-ad6d49dac2ba · outbound

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

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Learning transferable visual models from natural language supervision,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:36.912724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134fe81f-4901-4cc3-aba1-2ea6d7c61da2 · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Dinov2: Learning robust visual features without supervision,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:37.030672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc7a608a-f67e-4adc-acd5-841cb83c8115 · outbound

This paper cites Denoising diffusion probabilistic models,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Denoising diffusion probabilistic models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:37.152033Z

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Observation 1fdc9ccc-ae83-447e-a881-9c1c3a0abfc4 · outbound

This paper cites A hybrid wireless image transmission scheme with diffusion,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations A hybrid wireless image transmission scheme with diffusion,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:37.318041Z

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Unavailable: canonical work link unavailable.

Observation 6cd1eb5d-2897-4616-9420-db70a486c52b · outbound

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

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Cddm: Channel denoising diffusion models for wireless semantic communica- tions,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:37.421521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0748833f-8170-4146-9673-be50703aa320 · outbound

This paper cites Semantics- guided diffusion for deep joint source-channel coding in wireless image transmission,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Semantics- guided diffusion for deep joint source-channel coding in wireless image transmission,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:37.494433Z

Source-reported events for the cited work

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Observation 70c2bbc2-ed21-4b12-9f7a-2cc17d3ca131 · outbound

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

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:37.604901Z

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Unavailable: canonical work link unavailable.

Observation 91f3b220-7ea1-41ac-8311-f7c1f0aae9ed · outbound

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

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Diffcom: Channel received signal is a natural condition to guide diffusion posterior sampling,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:37.747483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b9231a-d775-4cce-929c-e8cc07d99581 · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Adding conditional control to text-to-image diffusion models,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:37.823669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc9daac0-9b8c-4598-a531-93f2570fe2fe · outbound

This paper cites Pixart-δ: Fast and controllable image generation with latent consistency models,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Pixart-δ: Fast and controllable image generation with latent consistency models,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:37.902581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87d60f16-b42d-4d10-b603-b5fc898de505 · outbound

This paper cites Masked au- toencoders are scalable vision learners,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Masked au- toencoders are scalable vision learners,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:38.023624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9054ac57-9a2e-46dd-98ac-52b562c1a559 · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Self-supervised learning from images with a joint-embedding predictive architecture,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:38.182041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f227db-5d98-4b5b-98d9-50dc7d406f38 · outbound

This paper cites What matters for representation alignment: Global information or spatial structure?.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations What matters for representation alignment: Global information or spatial structure?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:38.340208Z

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Observation 5b82cf4c-460f-4f90-b3a1-407da3aee2b6 · outbound

This paper cites Rep- resentation alignment for generation: Training diffusion transformers is easier than you think,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Rep- resentation alignment for generation: Training diffusion transformers is easier than you think,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:38.450576Z

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Observation a78924f7-1ab1-4d52-9d1c-a0ed040ab3ed · outbound

This paper cites Repa-e: Unlocking vae for end-to-end tuning of latent diffusion transformers,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Repa-e: Unlocking vae for end-to-end tuning of latent diffusion transformers,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:38.579668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72b23ccd-d7aa-437b-8df4-982b5f5ba039 · outbound

This paper cites Reconstruction vs. generation: Taming optimization dilemma in latent diffusion models,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Reconstruction vs. generation: Taming optimization dilemma in latent diffusion models,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:38.700268Z

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Observation a5d95c27-cab9-4e1d-8ed9-5d41285d8743 · outbound

This paper cites an unresolved cited work.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:38.788893Z

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Unavailable: canonical work link unavailable.

Observation 732be88f-6b51-4fd8-9295-25bc39b39e7d · outbound

This paper cites All are worth words: A vit backbone for diffusion models,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations All are worth words: A vit backbone for diffusion models,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:38.846579Z

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Observation 90d1e21b-ca63-4c1f-b759-0084f58a1bdb · outbound

This paper cites Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:38.920422Z

Source-reported events for the cited work

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Observation 035bac7a-8fc5-4693-aa7d-69a780620258 · outbound

This paper cites Scalable diffusion models with transformers,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Scalable diffusion models with transformers,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.011167Z

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Observation 478e4218-2d09-4215-8331-c5837a6f6527 · outbound

This paper cites Rethinking lossy compression: The rate- distortion-perception tradeoff,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Rethinking lossy compression: The rate- distortion-perception tradeoff,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.094395Z

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Observation f793c0fc-6d6b-4e12-a163-c850cddf5abf · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.140268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b338404-71e8-488f-80a4-58ce6e33f3cc · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations High- resolution image synthesis with latent diffusion models,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.191352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a0be6ab-b5a9-47ba-abc3-0d3cd846d70f · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations An image is worth 16x16 words: Trans- formers for image recognition at scale,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.325114Z

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Unavailable: canonical work link unavailable.

Observation e9aa3db7-c13f-43ff-a922-9e28dcfcdcf9 · outbound

This paper cites Universal rate-distortion- perception representations for lossy compression,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Universal rate-distortion- perception representations for lossy compression,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.403586Z

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Unavailable: canonical work link unavailable.

Observation 5aef424a-05d2-4eea-8f35-937f8c08f80c · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language mod- els,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language mod- els,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.479524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 666e93ec-0da2-4a3a-bb51-ca950da51037 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Imagenet: A large-scale hierarchical image database,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.567108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35f0d3c3-4536-44ff-954e-ff4426002b75 · outbound

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

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Design of low-density parity check codes for 5g new radio,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.640037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcccab4c-733c-4d1b-8700-342cbd8d587c · outbound

This paper cites BPG image format.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations BPG image format

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.726420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dca28e2b-de91-4f11-8e92-68cf1fe8b971 · outbound

This paper cites Devel- opments in international video coding standardization after avc, with an overview of versatile video coding (vvc),.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Devel- opments in international video coding standardization after avc, with an overview of versatile video coding (vvc),

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.803504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c2faa91-0049-4539-8cc0-18d52126e064 · outbound

This paper cites Towards image compression with perfect realism at ultra-low bitrates,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Towards image compression with perfect realism at ultra-low bitrates,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.888486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71ffafa0-00e0-4b99-8580-b9077eb7a4b3 · outbound

This paper cites Towards extreme image compression with latent feature guidance and diffusion prior,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Towards extreme image compression with latent feature guidance and diffusion prior,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:39.945834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73f5336d-f69b-45ef-aa02-30b5c5db0708 · outbound

This paper cites Seeing what a gan cannot generate,.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations Seeing what a gan cannot generate,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:40.021852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c29bb0d1-0435-47b3-a0bd-9a9c5a67934e · outbound

This paper cites DINOv3.

DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations DINOv3

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T12:26:40.101386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation aae5ef50-3d65-4104-ad43-137bbe9f9152 · inbound

Adapting Diffusion Language Models for Lossless Pixel-Level Image Transmission cites this paper.

Adapting Diffusion Language Models for Lossless Pixel-Level Image Transmission DiT-JSCC: Rethinking Deep JSCC with Diffusion Transformers and Semantic Representations

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-02T15:47:06.422031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.