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Paper Citation Record · LEDGER

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2509.01641.

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

pith.paper-citation-record.v1
2509.01641 v3

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:27:14.670500Z

measured 32 of 32 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 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

32 of 32 outbound references displayed

  • verified exact2
  • verified fuzzy18
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c91cbf95-87a3-4893-957c-f9529500d48d · outbound

This paper cites Denoising diffusion probabilis- tic models,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Denoising diffusion probabilis- tic models,

Reference 1

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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 1ea5d852-8e55-493e-92f1-ab3979144f3e · outbound

This paper cites Denoising Diffusion Implicit Models.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Denoising Diffusion Implicit Models

Reference 2

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no resolver link, observed 2026-08-05T12:27:14.455182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:27:14.455182Z digest=sha256:9d2c7c71e711347ad6d719cdaa2c48348acf5ca01dc3b427d790f95eeeb97514

Observation fe8467ce-d5d4-40da-afe4-327f9dc4bcc9 · outbound

This paper cites Versatile diffusion: Text, images and variations all in one diffusion model,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Versatile diffusion: Text, images and variations all in one diffusion model,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-05T12:27:16.160053Z

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 b7e0ab54-4d3a-4a54-adef-5e0a6b8d79d2 · outbound

This paper cites IRDM: A generative diffusion model for indoor radio map interpolation,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation IRDM: A generative diffusion model for indoor radio map interpolation,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-05T12:27:16.134075Z

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 3604b718-d88d-4a52-8788-471b0f9396fe · outbound

This paper cites RF-Diffusion: Radio signal generation via time-frequency diffusion,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation RF-Diffusion: Radio signal generation via time-frequency diffusion,

Reference 5

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raw_fallback, observed 2026-08-05T12:27:16.104895Z

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 330c094d-0afd-4c76-bd81-350f1bb7825a · outbound

This paper cites Diffusion-based gen- erative prior for low-complexity MIMO channel estimation,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Diffusion-based gen- erative prior for low-complexity MIMO channel estimation,

Reference 6

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verified exact
raw_fallback, observed 2026-08-05T12:27:15.721656Z

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 599c31f6-2bbb-4891-b002-bc23babaf801 · outbound

This paper cites MIMO channel estimation using score-based generative models,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation MIMO channel estimation using score-based generative models,

Reference 7

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raw_fallback, observed 2026-08-05T12:27:16.078266Z

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 243ec8cc-7cc0-434d-a0b5-35022795c4aa · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Diffusion models: A comprehensive survey of methods and applications,

Reference 8

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raw_fallback, observed 2026-08-05T12:27:16.054733Z

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 c80ecccc-a1bc-435e-b382-685e41b09ee3 · outbound

This paper cites An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization

Reference 9

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unresolved
no resolver link, observed 2026-08-05T12:27:14.521472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:27:14.521472Z digest=sha256:c68c80b268c693778ad819d7d2697e2627e84905b9d5c5f056eb4ad4e3bae3c1

Observation 5f7f244a-5313-4db5-9489-fba0e320b25d · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 10

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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 620e3435-d390-488a-a033-0f60e44a71b9 · outbound

This paper cites Latentpaint: Image inpainting in latent space with diffusion models,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Latentpaint: Image inpainting in latent space with diffusion models,

Reference 11

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raw_fallback, observed 2026-08-05T12:27:16.012215Z

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 0c5ee8ac-0649-4bb9-8775-9f60fad4c402 · outbound

This paper cites Image Inpainting via Tractable Steering of Diffusion Models.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Image Inpainting via Tractable Steering of Diffusion Models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b96471ef-02de-46d9-8840-0800c20c459f · outbound

This paper cites Imagic: Text-based real image editing with diffusion models,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Imagic: Text-based real image editing with diffusion models,

Reference 13

Resolution
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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 a8f27984-90be-4cad-b2f0-48efa9ddc229 · outbound

This paper cites Diffusion model-based image editing: A survey,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Diffusion model-based image editing: A survey,

Reference 14

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verified fuzzy
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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 3bea681c-10d2-4c90-8c10-20e4c6238140 · outbound

This paper cites Inversion-based style transfer with diffusion models,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Inversion-based style transfer with diffusion models,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-05T12:27:15.936944Z

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 f0a25a80-712b-4e11-871c-d25fabb98688 · outbound

This paper cites RADiff: Controllable diffusion models for radio astronomical maps generation,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation RADiff: Controllable diffusion models for radio astronomical maps generation,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-05T12:27:15.916118Z

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 25be5b15-f7fc-4b42-90e0-a9cc633a2b25 · outbound

This paper cites RM-Gen: Conditional diffusion model-based radio map generation for wireless net- works,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation RM-Gen: Conditional diffusion model-based radio map generation for wireless net- works,

Reference 17

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raw_fallback, observed 2026-08-05T12:27:15.891579Z

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 e15c42c2-00f8-4049-8425-f0577411b6ac · outbound

This paper cites RadioDiff: An effective generative diffusion model for sampling-free dynamic radio map construction,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation RadioDiff: An effective generative diffusion model for sampling-free dynamic radio map construction,

Reference 18

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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 5c673d74-491a-4ddc-8eb4-97db61e72d8f · outbound

This paper cites An introduction to deep learning for the physical layer,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation An introduction to deep learning for the physical layer,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 24c356a6-3995-4f0b-8e64-53bb8896a95d · outbound

This paper cites A comprehensive survey of knowledge-driven deep learning for intelligent wireless network optimization in 6G,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation A comprehensive survey of knowledge-driven deep learning for intelligent wireless network optimization in 6G,

Reference 20

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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 8fc11cc7-cc29-4da1-8898-df14b1c0af98 · outbound

This paper cites Wireless large AI model: shaping the AI-empowered future of 6G and beyond.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Wireless large AI model: shaping the AI-empowered future of 6G and beyond

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2bf59ee0-bc2f-41b8-9aac-ca90ade60e96 · outbound

This paper cites High dimensional channel estimation using deep generative networks,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation High dimensional channel estimation using deep generative networks,

Reference 22

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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 b00bf2c1-0745-44ff-a045-9b3713d4809a · outbound

This paper cites Diffusion model based channel estimation,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Diffusion model based channel estimation,

Reference 23

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no resolver link, observed 2026-08-05T12:27:14.614182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:27:14.614182Z digest=sha256:dc69a78515e80168669e4f368dbc47595954109f3dca83f4ec8e7b9535a33faf

Observation 8e54f76d-1108-4965-9418-ef5e9d7a7bdb · outbound

This paper cites Joint channel estimation and data detection in massive MIMO systems based on diffusion models,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Joint channel estimation and data detection in massive MIMO systems based on diffusion models,

Reference 24

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no resolver link, observed 2026-08-05T12:27:14.619546Z

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Unavailable: canonical work link unavailable.

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Observation c95f9e75-d521-4098-9d6f-9709dee0f1fa · outbound

This paper cites Generative diffusion receivers: Achieving pilot-efficient MIMO-OFDM communi- cations,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Generative diffusion receivers: Achieving pilot-efficient MIMO-OFDM communi- cations,

Reference 25

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no resolver link, observed 2026-08-05T12:27:14.625891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ec138542-9ce3-440b-9934-7ffd8f8f305c · outbound

This paper cites Channel mapping based on interleaved learning with complex-domain MLP-Mixer,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Channel mapping based on interleaved learning with complex-domain MLP-Mixer,

Reference 26

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raw_fallback, observed 2026-08-05T12:27:15.825903Z

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 eb598519-6c56-4385-9af0-a6593ca8bc25 · outbound

This paper cites Improved denoising diffu- sion probabilistic models,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Improved denoising diffu- sion probabilistic models,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-05T12:27:15.804676Z

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 651c8f62-2cf0-444a-a616-4c50dde28047 · outbound

This paper cites Progressive distillation for fast sam- pling of diffusion models,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Progressive distillation for fast sam- pling of diffusion models,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-05T12:27:15.782760Z

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 e5418f5f-48d0-4df2-8998-e87faea359fe · outbound

This paper cites A hybrid inference archi- tecture incorporating neural network with belief propagation for AI receivers,.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation A hybrid inference archi- tecture incorporating neural network with belief propagation for AI receivers,

Reference 29

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metadata mismatch
raw_fallback, observed 2026-08-05T12:27:14.975957Z

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=2026-08-05T12:27:14.654381Z digest=sha256:ba94d46ba7d0495c187760b2662b9298de1e7da74018acdd7eb3ac15afb7478c

Observation fbc9c7af-c598-454b-9564-8eff2530d538 · outbound

This paper cites DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Reference 30

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no resolver link, observed 2026-08-05T12:27:14.663907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b84d1adf-d6b9-4648-aa76-144814d82d49 · outbound

This paper cites New algorithms for sampling and diffusion models.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation New algorithms for sampling and diffusion models

Reference 31

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verified exact
local_arxiv, observed 2026-08-05T12:27:14.744470Z

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 1697b056-8e2d-462c-aff4-7f772471e393 · outbound

This paper cites an unresolved cited work.

Non-Identical Diffusion Models in MIMO-OFDM Channel Generation Unresolved cited work

Reference 2248

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metadata mismatch
raw_fallback, observed 2026-08-05T12:27:15.606239Z

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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Pith citing papers

No inbound Pith citation observations are available.