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Paper Citation Record · LEDGER

Generative Diffusion Model-based Compression of MIMO CSI

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2503.03753.

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

pith.paper-citation-record.v1
2503.03753 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:14:07.717150Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T21:23:04.333248Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact1
  • verified fuzzy29
  • unresolved11
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d93ac47f-d0c3-4d36-aa25-3ce3c5991243 · outbound

This paper cites Overview of deep learning- based CSI feedback in massive MIMO systems,.

Generative Diffusion Model-based Compression of MIMO CSI Overview of deep learning- based CSI feedback in massive MIMO systems,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.975445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 28fc6093-a799-4a33-b2f2-459756c21f4a · outbound

This paper cites Dahlman, S.

Generative Diffusion Model-based Compression of MIMO CSI Dahlman, S

Reference 2

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.637781Z digest=sha256:5ff070d1510606611b19946505c779575459d18f3777e47315647fe1b41f927c

Observation cd88e348-9222-498e-ae53-7ef0edbaf9fd · outbound

This paper cites Zaidi, F.

Generative Diffusion Model-based Compression of MIMO CSI Zaidi, F

Reference 3

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raw_fallback, observed 2026-08-08T22:14:07.963056Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f8f6cb8b-a806-4faa-b334-4d30878dd03c · outbound

This paper cites End-to-end optimized image compression,.

Generative Diffusion Model-based Compression of MIMO CSI End-to-end optimized image compression,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 59454fb5-6c68-4a80-b0ae-a76d539a9add · outbound

This paper cites Variational image compression with a scale hyperprior,.

Generative Diffusion Model-based Compression of MIMO CSI Variational image compression with a scale hyperprior,

Reference 5

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no resolver link, observed 2026-08-08T22:14:07.644214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:14:07.644214Z digest=sha256:eb14b24720e6bb62bc3efc823d0d257e1021e8c6874bfc1ad302d167f8535b30

Observation 053dc00a-09b5-45fd-9946-dfc858d1978d · outbound

This paper cites Lossy image compression with compressive autoencoders,.

Generative Diffusion Model-based Compression of MIMO CSI Lossy image compression with compressive autoencoders,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.946876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.646260Z digest=sha256:4419c84e3063a484cabf296ab3b57d0e9c9780fe7099ec997f9eb36d84f612f6

Observation d11ac509-2530-49fb-a987-1d511f4d4c47 · outbound

This paper cites An introduction to neural data compression,.

Generative Diffusion Model-based Compression of MIMO CSI An introduction to neural data compression,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.940889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.648283Z digest=sha256:e9abaf855583bc906f07024abc45de936069f06d86ac30df28a076c12e761ca8

Observation f896f8f6-639a-4941-9960-c93d93c846f6 · outbound

This paper cites The JPEG still picture compression standard,.

Generative Diffusion Model-based Compression of MIMO CSI The JPEG still picture compression standard,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:14:07.650067Z digest=sha256:a1f118e0989896fb3bb3b5b19e843af589030d72b7213edfbac18c0bb92653c8

Observation 64b75cae-c802-44db-8be7-32219c0aba1e · outbound

This paper cites On universal quantization,.

Generative Diffusion Model-based Compression of MIMO CSI On universal quantization,

Reference 9

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raw_fallback, observed 2026-08-08T22:14:07.930920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.651994Z digest=sha256:6703e330fde3b9902fa1b1b958ffebb515f1c7d717c351383462203c9f3ceba5

Observation 2b5e47c2-aea1-44ad-9639-89329214e85a · outbound

This paper cites Joint autoregressive and hierarchical priors for learned image compression,.

Generative Diffusion Model-based Compression of MIMO CSI Joint autoregressive and hierarchical priors for learned image compression,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.924875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.653963Z digest=sha256:a55c01ece428f88d22a6227f59bf1fa50e18179ab4ccdde3edee4c839232dee9

Observation f7763be4-af11-4dbc-8bee-9fa600f3b858 · outbound

This paper cites Deep learning for massive MIMO CSI feedback,.

Generative Diffusion Model-based Compression of MIMO CSI Deep learning for massive MIMO CSI feedback,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:14:07.655795Z digest=sha256:1b6e4d3e79f943b14f77d438caa739023e0f0bb666ceada2683c94c62579ff9b

Observation 03885c15-fd13-4ce3-8f92-a892792192a2 · outbound

This paper cites Deep learning-based CSI feedback approach for time-varying massive MIMO channels,.

Generative Diffusion Model-based Compression of MIMO CSI Deep learning-based CSI feedback approach for time-varying massive MIMO channels,

Reference 12

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source=pdf_text observed=2026-08-08T22:14:07.657813Z digest=sha256:ba0e81c56b3dda847669df56df114ce22fcd959534a793e79d60ff31cd1438cd

Observation 5ff9d456-ab38-4867-8869-0aeabc0c99a5 · outbound

This paper cites A novel CSI feedback approach for massive MIMO using LSTM-attention CNN,.

Generative Diffusion Model-based Compression of MIMO CSI A novel CSI feedback approach for massive MIMO using LSTM-attention CNN,

Reference 13

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raw_fallback, observed 2026-08-08T22:14:07.911256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.660175Z digest=sha256:46b7e1bddc51ec36baf876ba9bff03bcfc753dfde407b871c59009920ac52340

Observation 4190dc9f-c3d5-40f0-a18e-e24ab1dbb384 · outbound

This paper cites HyperRNN: Deep learning-aided downlink CSI acquisition via partial channel reciprocity for FDD massive MIMO,.

Generative Diffusion Model-based Compression of MIMO CSI HyperRNN: Deep learning-aided downlink CSI acquisition via partial channel reciprocity for FDD massive MIMO,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.662019Z digest=sha256:ede34261cbc17d5b399bf4e54802c5cb89ad21e47e5822be5be18ab1c89fc7ec

Observation fe24b221-af59-4457-a5a6-43b79f6e9e46 · outbound

This paper cites Multi-resolution CSI feedback with deep learning in massive MIMO system,.

Generative Diffusion Model-based Compression of MIMO CSI Multi-resolution CSI feedback with deep learning in massive MIMO system,

Reference 15

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source=pdf_text observed=2026-08-08T22:14:07.664029Z digest=sha256:81bb846563290e3ca24c21bc0df8c7790d9184e7274d98d9096c64fd0e120ad2

Observation ddf3b379-8c58-4c00-af49-d9dbda3ae1ef · outbound

This paper cites Multi-rate variable-length CSI compression for FDD massive MIMO,.

Generative Diffusion Model-based Compression of MIMO CSI Multi-rate variable-length CSI compression for FDD massive MIMO,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.894906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.665920Z digest=sha256:18e69b73568d5e1546a39774def5cd77dd7e734e09f207365bfc81ff134933cf

Observation a7709c48-96e8-420a-9d35-4978e7869ac6 · outbound

This paper cites Deep autoencoder-based massive MIMO CSI feedback with quantization and entropy coding,.

Generative Diffusion Model-based Compression of MIMO CSI Deep autoencoder-based massive MIMO CSI feedback with quantization and entropy coding,

Reference 17

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source=pdf_text observed=2026-08-08T22:14:07.668004Z digest=sha256:5b685e54114665d3e92e4cf45bfdf99e7d28eea7bc7f564ca2493cc5ca984548

Observation 2808b46d-006d-42c2-a3ec-19bd90f67b59 · outbound

This paper cites Machine learning-based CSI feedback with variable length in FDD massive MIMO,.

Generative Diffusion Model-based Compression of MIMO CSI Machine learning-based CSI feedback with variable length in FDD massive MIMO,

Reference 18

Resolution
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raw_fallback, observed 2026-08-08T22:14:07.884400Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 97e7facf-c5c7-4fc6-9977-b4c883bb5075 · outbound

This paper cites Learning variable-rate codes for CSI feedback,.

Generative Diffusion Model-based Compression of MIMO CSI Learning variable-rate codes for CSI feedback,

Reference 19

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raw_fallback, observed 2026-08-08T22:14:07.878295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.672141Z digest=sha256:ccaf8b0cecefeee23aaf45896f7c631790ffe71ae299e6c5155453ac38ae9157

Observation db4fe32e-8654-423b-af44-e84a7f3de632 · outbound

This paper cites An overview of 5G advanced evolution in 3GPP release 18,.

Generative Diffusion Model-based Compression of MIMO CSI An overview of 5G advanced evolution in 3GPP release 18,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.872156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.674077Z digest=sha256:be9f148f713880a581c2c7ca0b897e7601d1c3f5e0500ce1c55c027c0b6c0e16

Observation d95c6a44-6071-4046-9b21-2a8f24be5580 · outbound

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

Generative Diffusion Model-based Compression of MIMO CSI Diffusion models: A comprehensive survey of methods and applications,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.866035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cbbc5b38-2968-4647-aa24-49d76f2d45a5 · outbound

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

Generative Diffusion Model-based Compression of MIMO CSI U-Net: Convolutional networks for biomedical image segmentation,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.678590Z digest=sha256:669d777aa9c7111215b2499b85781d08b89f80596c5f9cd6579acc6acab18dac

Observation a048fb24-0ef1-4e1e-b0ed-6a0290ce6b74 · outbound

This paper cites Diffusion models in vision: A survey,.

Generative Diffusion Model-based Compression of MIMO CSI Diffusion models in vision: A survey,

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:14:07.680497Z digest=sha256:5be0acf9c978bb7eceb725a61e6e93b54af16ad00741b79dd12d9626609fa2fa

Observation a2914138-e568-4d80-b174-56caff69bcf1 · outbound

This paper cites Lossy Compression with Gaussian Diffusion.

Generative Diffusion Model-based Compression of MIMO CSI Lossy Compression with Gaussian Diffusion

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:14:07.682635Z digest=sha256:1700ee84461df630d691ed1b02114b18ae16542634fd051da37d22ab6eedca69

Observation a58df1cc-1ecf-4551-8052-c078fd528425 · outbound

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

Generative Diffusion Model-based Compression of MIMO CSI Lossy image compression with conditional diffusion models,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.849402Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d52f10c5-65ad-47bd-b51a-f925ea44fd24 · outbound

This paper cites Generalization of the rate-distortion function for wyner-ziv coding of noisy sources in the quadratic-gaussian case,.

Generative Diffusion Model-based Compression of MIMO CSI Generalization of the rate-distortion function for wyner-ziv coding of noisy sources in the quadratic-gaussian case,

Reference 26

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raw_fallback, observed 2026-08-08T22:14:07.842977Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.686924Z digest=sha256:5b136d5ddbd86cb1e6dcf1d166c6516abcb914dcf373c2914b07168f051c2799

Observation 6e6bbd73-27f7-4675-894e-e793f7b30ec0 · outbound

This paper cites Eliminating channel feedback in next-generation cellular networks,.

Generative Diffusion Model-based Compression of MIMO CSI Eliminating channel feedback in next-generation cellular networks,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.836553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.688930Z digest=sha256:160a532e12113cb4ed41ca08b8d2ca6538a27b74d9430b2b59db3a7081270100

Observation 4df87e6f-5aeb-486a-bd8c-be1a243e2e72 · outbound

This paper cites FDD massive MIMO without CSI feedback,.

Generative Diffusion Model-based Compression of MIMO CSI FDD massive MIMO without CSI feedback,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.828573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.690944Z digest=sha256:a04ad7b41c0e0ac36f0e9c3d36d9e1f39714733cf8ff675219a2f9a70f89eac1

Observation f0bc3b68-32b5-45a5-800a-5e852ce93514 · outbound

This paper cites NR; physical layer procedures for data (release 15),.

Generative Diffusion Model-based Compression of MIMO CSI NR; physical layer procedures for data (release 15),

Reference 29

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raw_fallback, observed 2026-08-08T22:14:07.821741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.692976Z digest=sha256:c7204e341663f9ec675eba76e5add837bdf29e45f3c4e267fdfb366231b79fc9

Observation 52a162c0-aef8-448d-99a8-d15d6c04fb84 · outbound

This paper cites Sionna: An Open-Source Library for Next-Generation Physical Layer Research.

Generative Diffusion Model-based Compression of MIMO CSI Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:14:07.695447Z digest=sha256:8dea170130b91376569c281e11b71881692c91a42aca698da65b5f6f531543e2

Observation 0a0b4308-0a55-456a-90e3-a0ec5719ef02 · outbound

This paper cites Neural discrete representation learning,.

Generative Diffusion Model-based Compression of MIMO CSI Neural discrete representation learning,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.815428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.697755Z digest=sha256:2f9ee5edc08741ff3678617f53ab96d29d28beef9d4f9e9fa719f72c368674b0

Observation 5ceeaba2-4b6b-4e35-902c-172444cea7b0 · outbound

This paper cites Denoising diffusion implicit models,.

Generative Diffusion Model-based Compression of MIMO CSI Denoising diffusion implicit models,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.809207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.699710Z digest=sha256:2977716759a7fa2f6080eb7c8f4b2c9f9318ffd264a3d476a96868e7fbf84021

Observation ae4adfbf-6d5e-462f-9bce-dcd4cf0af390 · outbound

This paper cites Denoising diffusion probabilistic models,.

Generative Diffusion Model-based Compression of MIMO CSI Denoising diffusion probabilistic models,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.803043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.701636Z digest=sha256:8b6886933a702a6872367bc0e9e0995fc0f8fb20a2e2f09e7a35fb706cfc7488

Observation 4276fa2d-d6c2-4e06-8bfa-ad786e132b22 · outbound

This paper cites Progressive distillation for fast sampling of diffusion models,.

Generative Diffusion Model-based Compression of MIMO CSI Progressive distillation for fast sampling of diffusion models,

Reference 34

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unresolved
no resolver link, observed 2026-08-08T22:14:07.703538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:14:07.703538Z digest=sha256:af0d8358755a2ced52c795c338bd4b06ab573cde6c3c0abf313fa6f40f8f1259

Observation 54708f19-cfa2-4e3c-8962-81363a2ef26c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Generative Diffusion Model-based Compression of MIMO CSI Adam: A Method for Stochastic Optimization

Reference 35

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no resolver link, observed 2026-08-08T22:14:07.705262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:14:07.705262Z digest=sha256:e804784353b0aafe042c365063d850222064c34a667f3e669282da77bf7411c2

Observation a7db1766-6565-4852-9173-2c86fe157692 · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 GHz,.

Generative Diffusion Model-based Compression of MIMO CSI Study on channel model for frequencies from 0.5 to 100 GHz,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.792649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.707437Z digest=sha256:5c8c95a444368c91c7c2e23db20ee0492f5f5d685fb433e4702cd70308e3a13b

Observation 1ef74728-0318-448c-b1b1-ce454fcc8cb0 · outbound

This paper cites Spatial- and frequency- wideband effects in millimeter-wave massive MIMO systems,.

Generative Diffusion Model-based Compression of MIMO CSI Spatial- and frequency- wideband effects in millimeter-wave massive MIMO systems,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.786232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.709375Z digest=sha256:c2ebd8071bf7bfb30749986515ff9ee5340d856059c91bdd1f70c0f98e30014c

Observation 13956737-cb68-4d98-826a-89b37060534c · outbound

This paper cites An Efficient Network with Novel Quantization Designed for Massive MIMO CSI Feedback.

Generative Diffusion Model-based Compression of MIMO CSI An Efficient Network with Novel Quantization Designed for Massive MIMO CSI Feedback

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-08T22:14:07.740502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.711206Z digest=sha256:8a3bf2551574ee2362eab1152c354ab0b038be94762b573259d8313f6a4e4ecd

Observation 2c52e0f8-167d-446b-be93-3d8de38354db · outbound

This paper cites Convolutional neural network- based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis,.

Generative Diffusion Model-based Compression of MIMO CSI Convolutional neural network- based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.780117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.713427Z digest=sha256:5394e76f0be4d49e5c0ad525c50c60b3e523c9ea206c400606d2dc77375b3937

Observation 952cf030-d616-4d72-9c84-5a899e446385 · outbound

This paper cites Malunet: A multi-attention and light-weight unet for skin lesion segmentation,.

Generative Diffusion Model-based Compression of MIMO CSI Malunet: A multi-attention and light-weight unet for skin lesion segmentation,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.773786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.715310Z digest=sha256:60669f30161ab4fafc863e38de66577a0997da6bf99515926b91042ee4f75353

Observation 6c8c88bd-3a26-4ccf-a417-66ced13ff574 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow,.

Generative Diffusion Model-based Compression of MIMO CSI Flow straight and fast: Learning to generate and transfer data with rectified flow,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T22:14:07.766679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-08T22:14:07.717150Z digest=sha256:813d551657f79149798b12aec7e5dc4bad696127a156fbc08c8104851ff0ee88

Pith citing papers

Observation 91e63eb1-ca66-4438-92e2-795ee951ce85 · inbound

Learning-to-Defer with Expert-Conditional Advice cites this paper.

Learning-to-Defer with Expert-Conditional Advice Generative Diffusion Model-based Compression of MIMO CSI

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-14T21:23:04.333248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:23:04.333248Z digest=sha256:718cde2f3800f44d0e8dcc9a65a83378b80dd49fce658737e0fe56f8699d6031