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Paper Citation Record · LEDGER

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications

As of 9 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2606.12858.

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

pith.paper-citation-record.v1
2606.12858 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:05:01.479246Z

measured 29 of 29 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 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

29 of 29 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 53366b5a-c2aa-4185-958e-b90bdb3b8084 · outbound

This paper cites Joint source-channel-generation coding: From distortion-oriented reconstruction to semantic-consistent gen- eration,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Joint source-channel-generation coding: From distortion-oriented reconstruction to semantic-consistent gen- eration,

Reference 1

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:61113f6477bcb5d48ebe25859334e03c6100977c15e373146640de57ae0cfff6

Observation 31dd8263-60c9-4a65-b4b1-ae3c27c6db0d · outbound

This paper cites Coding Theorems for a Discrete Source With a Fidelity Criterion, Institute of Radio Engineers, International Convention Record, vol. 7, 1959.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Coding Theorems for a Discrete Source With a Fidelity Criterion, Institute of Radio Engineers, International Convention Record, vol. 7, 1959

Reference 2

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Observation 62db0b82-ea40-42b8-81fa-351e9c610a68 · outbound

This paper cites Deep Joint Source-Channel Coding for Wireless Image Transmission,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Deep Joint Source-Channel Coding for Wireless Image Transmission,

Reference 3

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Observation 2ecca3d2-689f-44d0-b4f8-11e9438400b6 · outbound

This paper cites Nonlinear Transform Source-Channel Coding for Semantic Communications,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Nonlinear Transform Source-Channel Coding for Semantic Communications,

Reference 4

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Observation 9014533f-414e-4bdb-b4ba-8904e99100bc · outbound

This paper cites MambaJSCC: Adaptive Deep Joint Source-Channel Coding With Generalized State Space Model,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications MambaJSCC: Adaptive Deep Joint Source-Channel Coding With Generalized State Space Model,

Reference 5

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Observation 4307e01e-e0a6-4934-b84c-1d3b433afb8a · outbound

This paper cites Wireless Deep Video Semantic Transmission,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Wireless Deep Video Semantic Transmission,

Reference 6

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:935921cae232de9c43905c87ac9f5ffe801fbb7db4b25a61f4ed83870f81e7aa

Observation eaff0696-3727-4dfb-a4c9-20879a73dd1a · outbound

This paper cites Problems of monetary management: the uk experience,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Problems of monetary management: the uk experience,

Reference 7

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:59d8c2d4ef7d60e0f7e23087eea1540e7030607322d586275b0e334a76e4c2ad

Observation 8e93735b-3f9e-4621-9f78-6cdfdcbeb602 · outbound

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

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications The unreasonable effectiveness of deep features as a perceptual metric,

Reference 8

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:d3bc61021f588f24e1854b919472cb96ba14b5e10a3934950b882b4c598c4d2d

Observation 307efe25-4648-4f9d-b146-566c010b60a8 · outbound

This paper cites High-fidelity generative image compression,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications High-fidelity generative image compression,

Reference 9

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:cefa533abc7f7ffaa5a55500ec0876b303c42509765ca7028672fd054c34664e

Observation f4b974f6-e3ee-4fac-9eef-81cc2a706c85 · outbound

This paper cites Reducing artifact generation when using per- ceptual loss for image deblurring of microscopy data for mi- crostructure analysis,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Reducing artifact generation when using per- ceptual loss for image deblurring of microscopy data for mi- crostructure analysis,

Reference 10

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Observation 15ba1d9d-41ed-4df1-86fe-3c0116edf595 · outbound

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

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Universal rate- distortion-perception representations for lossy compression,

Reference 11

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:bbb0b7ec0aa7cbbde5d1ddbd5fb7a172f6579a4ed30aa86bb867e7e455e264ad

Observation 556e8ee5-e204-4c4d-acbd-1f1e1b11b1a9 · outbound

This paper cites On the rate-distortion-perception function,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications On the rate-distortion-perception function,

Reference 12

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:3eace658335d4ae3b65536f39e9e7f64c87a6a864decac6bb01695d03c5425a0

Observation f249ee8d-a650-4300-a4d2-82558b4b434c · outbound

This paper cites Task-oriented lossy compression with data, perception, and classification con- straints,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Task-oriented lossy compression with data, perception, and classification con- straints,

Reference 13

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Observation 495073d1-fdbb-4300-82c5-2476acb1a05e · outbound

This paper cites Per- ceptual learned source-channel coding for high-fidelity image semantic transmission,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Per- ceptual learned source-channel coding for high-fidelity image semantic transmission,

Reference 14

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:9e0fa52ad6055af0346a3c6d116831029f4cffa6a08604dbd32fd0e90a14706f

Observation 81e5a18f-b2fe-4676-bd42-4233f6098fa0 · outbound

This paper cites CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications,

Reference 15

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Observation 8c317607-06a5-40d7-9f8d-37ca9e7f6efd · outbound

This paper cites Icdm: Interference cancellation diffusion models for wireless semantic communications,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Icdm: Interference cancellation diffusion models for wireless semantic communications,

Reference 16

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:af16a80cbeae53e5d4a1ce71788c4fd5e8e780f49736ae21090d61f848602fec

Observation ed68e4b3-ba4c-478c-b69a-9bfe0cc8896d · outbound

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

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Semantics-guided diffusion for deep joint source-channel coding in wireless image transmission,

Reference 17

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:330f098d9d12e6d9e0f7af1c8513a4ba1d927f920a7166b7b74066e2daa3d31a

Observation 3e052dd3-4c47-413d-99ad-10d8c1fb206d · outbound

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

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Diffcom: Channel received signal is a natural condition to guide diffusion posterior sampling,

Reference 18

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:21c8e90e72e2e651b75779b67d04988275d03c7f875d750ff5ac84ac764d92b4

Observation 7aa401a6-b80a-4eb0-b4cf-21bef754bf80 · outbound

This paper cites High perceptual quality wireless image delivery with denoising diffusion models,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications High perceptual quality wireless image delivery with denoising diffusion models,

Reference 19

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:7df171458701d87e682dc1556640c333c58fa692d67cdff6808377d22429e989

Observation b1056a48-dd37-4733-9385-7fc10fad95e5 · outbound

This paper cites Commin: Semantic image communications as an inverse problem with inn- guided diffusion models,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Commin: Semantic image communications as an inverse problem with inn- guided diffusion models,

Reference 20

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:cfd2079097e9bee4176492c35eef579b7c98ae171af4ba5cd16cc1e4e850777a

Observation 63554c79-e5e9-4d35-99f3-781027f84ff5 · outbound

This paper cites Diffusion-aided joint source channel coding for high realism wireless image transmission,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Diffusion-aided joint source channel coding for high realism wireless image transmission,

Reference 21

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Observation fcf18e31-8b17-4929-bea4-4e03a10e6863 · outbound

This paper cites Flow Matching for Generative Modeling,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Flow Matching for Generative Modeling,

Reference 22

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:d0e97d99f51ec976a19f4b23e288ea3513ae9692464d07910f5ba180a2805970

Observation 43c83529-d0c7-4a9a-befb-d82f3cf28b78 · outbound

This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 23

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:7fc9fc6dcea2c73d7ba35aca1d3983374891c13da68f3ba117ee14fe43268807

Observation c07e5a7c-ee2d-4584-8fdf-8b6a7ecb42c4 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Score-Based Generative Modeling through Stochastic Differential Equations,

Reference 24

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:00fc06b9910190a12c0cb2087cf3c1dafc2f0ad1c00f0bea9d23a11bb5542f49

Observation cb3d09f0-b550-40c4-8aae-b8bbf783027b · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Image quality assessment: Unifying structure and texture similarity,

Reference 25

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Observation 25ac669e-edb4-4653-8623-60337652f060 · outbound

This paper cites CLIPScore: A reference-free evaluation metric for image cap- tioning,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications CLIPScore: A reference-free evaluation metric for image cap- tioning,

Reference 26

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:de48f81cb762e320a48bf7691ee5951afba002d90ceab6bc2dafe99aa30085e4

Observation cf39b098-0e71-486f-8ace-e39c2bb06078 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications DINOv2: Learning Robust Visual Features without Supervision

Reference 27

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

source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:d66b0719056df34811f0306829d14c069ca517dba630fc5d7cab4fe63b535d9f

Observation aa3c2f01-7e51-4538-9f00-57d692720497 · outbound

This paper cites Dreamsim: Learning new dimensions of human visual similarity using synthetic data,.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Dreamsim: Learning new dimensions of human visual similarity using synthetic data,

Reference 28

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:731d2e85a515a6a28574595d8bc87d43b169f6797e563363b06af348ff8f89cb

Observation 356305a3-7c5f-4880-a694-591ef8c93485 · outbound

This paper cites Rethinking FID: Towards a Better Evaluation Metric for Image Generation.

JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications Rethinking FID: Towards a Better Evaluation Metric for Image Generation

Reference 29

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arxiv_id, observed 2026-07-03T16:08:37.572961Z

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source=pdf_text observed=2026-06-27T06:05:01.479246Z digest=sha256:f028a0955f1e095f4a7312a04d9d84323e329bb88f503874ef9714c85e6fc73c

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