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Paper Citation Record · LEDGER

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems

As of 7 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2509.10490.

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

pith.paper-citation-record.v1
2509.10490 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:22:39.856744Z

measured 51 of 51 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

51 of 51 outbound references displayed

  • verified exact3
  • verified fuzzy41
  • unresolved7
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dce2d19c-e928-4306-bba1-97704f36bfb8 · outbound

This paper cites An overview of massive MIMO: Benefits and challenges,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems An overview of massive MIMO: Benefits and challenges,

Reference 1

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Unavailable: canonical work link unavailable.

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Observation b66cc27e-c2c2-4a6d-a9ba-f93ce72d0625 · outbound

This paper cites Massive MIMO for next generation wireless systems,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Massive MIMO for next generation wireless systems,

Reference 2

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no resolver link, observed 2026-08-05T13:22:36.078369Z

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Unavailable: canonical work link unavailable.

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Observation 283bf5f0-76fc-4bef-9c86-e706bfde205a · outbound

This paper cites On an intelligent hie rarchical routing strategy for ultra-dense free space optical low ear th orbit satellite networks,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems On an intelligent hie rarchical routing strategy for ultra-dense free space optical low ear th orbit satellite networks,

Reference 3

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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 a5b27f29-186b-496a-b4b5-1eb9355fc3e0 · outbound

This paper cites A speculative study on 6G,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems A speculative study on 6G,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7ed77284-a794-49d5-b543-e18883745b35 · outbound

This paper cites Statist ical 3-D beamforming for large-scale MIMO downlink systems over ric ian fading channels,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Statist ical 3-D beamforming for large-scale MIMO downlink systems over ric ian fading channels,

Reference 5

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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 23ec9752-7f5a-450c-93ca-5e92090d3903 · outbound

This paper cites Prospective multiple antenna technologies for beyo nd 5G,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Prospective multiple antenna technologies for beyo nd 5G,

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:43.186038Z

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 c31aca54-1631-4910-aded-104c6c9d7886 · outbound

This paper cites On a novel high accuracy posit ioning with intelligent reflecting surface and unscented kalman filter f or intelligent transportation systems in B5G,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems On a novel high accuracy posit ioning with intelligent reflecting surface and unscented kalman filter f or intelligent transportation systems in B5G,

Reference 7

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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 3d724e94-44e8-49df-a226-3e2f2c141ecb · outbound

This paper cites On a hierarchical content caching and asynchronous updating s cheme for non-terrestrial network-assisted connected automated ve hicles,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems On a hierarchical content caching and asynchronous updating s cheme for non-terrestrial network-assisted connected automated ve hicles,

Reference 8

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raw_fallback, observed 2026-08-05T13:22:43.136719Z

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 ca23e28b-841c-4265-8f38-77e77675f73d · outbound

This paper cites Large-scale antenn a systems with hybrid analog and digital beamforming for millimeter w ave 5G,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Large-scale antenn a systems with hybrid analog and digital beamforming for millimeter w ave 5G,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:43.113089Z

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 10faf5ad-778f-46b0-886e-c6f54b3eaad5 · outbound

This paper cites Massive MIMO for next generation wireless systems,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Massive MIMO for next generation wireless systems,

Reference 10

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unresolved
no resolver link, observed 2026-08-05T13:22:36.731989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 11a9e710-ce46-45c8-a234-1613b84039f2 · outbound

This paper cites Next generation 5G wir eless networks: A comprehensive survey,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Next generation 5G wir eless networks: A comprehensive survey,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:43.076169Z

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 1064ed55-c0c4-4b52-a041-1d47a31887b3 · outbound

This paper cites 6G wireless communications networks: A compreh ensive survey,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems 6G wireless communications networks: A compreh ensive survey,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:43.048946Z

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 f21e7e86-9fb6-45d2-8579-fc7ff0b4ed39 · outbound

This paper cites Compres- sive sensing techniques for next-generation wireless comm unications,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Compres- sive sensing techniques for next-generation wireless comm unications,

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:43.014960Z

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 94a7052f-5451-4745-9c5c-70f39616fe20 · outbound

This paper cites Compre ssed sensing for wireless communications: Useful tips and trick s,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Compre ssed sensing for wireless communications: Useful tips and trick s,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.983466Z

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 01c33869-a78e-4fb9-8359-c6e2eb4b78c9 · outbound

This paper cites Comparison of exp licit CSI feedback schemes for 5G new radio,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Comparison of exp licit CSI feedback schemes for 5G new radio,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.955597Z

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 9713e694-9af7-4210-8625-6a3e9a1049f1 · outbound

This paper cites A review of codebooks for CSI feedback in 5G new radio and beyond.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems A review of codebooks for CSI feedback in 5G new radio and beyond

Reference 16

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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 55efcd3d-3276-4ae3-b804-c15ad52b0a04 · outbound

This paper cites Deep learning for mas sive MIMO CSI feedback,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Deep learning for mas sive MIMO CSI feedback,

Reference 17

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no resolver link, observed 2026-08-05T13:22:37.265281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8a72d60b-53f1-4671-abbf-149fd1ed0134 · outbound

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

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Multi-resolution CSI feedb ack with deep learning in massive MIMO system,

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 788553ba-cbcf-48a9-9ec4-2530ab1d34b3 · outbound

This paper cites Kno wledge- distillation-aided lightweight neural network for massiv e mimo CSI feedback,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Kno wledge- distillation-aided lightweight neural network for massiv e mimo CSI feedback,

Reference 19

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raw_fallback, observed 2026-08-05T13:22:42.871696Z

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 f36384d4-9f94-4269-878b-ca2181a8a155 · outbound

This paper cites Transnet: Full attention ne twork for CSI feedback in FDD massive MIMO system,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Transnet: Full attention ne twork for CSI feedback in FDD massive MIMO system,

Reference 20

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no resolver link, observed 2026-08-05T13:22:37.492838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 221ea756-985a-469d-8580-b2ac5f1c0400 · outbound

This paper cites Dilated convolution based CSI feedback compression for massive MIM O sys- tems,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Dilated convolution based CSI feedback compression for massive MIM O sys- tems,

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.818476Z

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 68ea29a0-59c4-4cab-995b-a0f30d90d71c · outbound

This paper cites Dig-CSI: A distributed and generative model assisted CSI feedback tr aining framework,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Dig-CSI: A distributed and generative model assisted CSI feedback tr aining framework,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.792409Z

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 f7af95e5-1315-4f3b-92fa-b4096c118973 · outbound

This paper cites ChannelGAN: Deep l earning- based channel modeling and generating,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems ChannelGAN: Deep l earning- based channel modeling and generating,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.757836Z

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 c45d274b-150a-4169-b8ac-2e8a4a15fc67 · outbound

This paper cites A review on gener ative adversarial networks: Algorithms, theory, and applicatio ns,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems A review on gener ative adversarial networks: Algorithms, theory, and applicatio ns,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.731301Z

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=2026-08-05T13:22:37.739022Z digest=sha256:91f783d2ed605ce15f5163182a96f83fa48661751a80dc579b14507a00fb8da0

Observation 2bd623f8-056b-4c33-8bf8-ee9c85defd25 · outbound

This paper cites Downlink CSI feedback algorithm with deep transfer learni ng for FDD massive MIMO systems,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Downlink CSI feedback algorithm with deep transfer learni ng for FDD massive MIMO systems,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.710443Z

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 de9e7415-c2e5-446e-a4e9-cba2a9a2405d · outbound

This paper cites Model tran smission- based online updating approach for massive MIMO CSI feedbac k,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Model tran smission- based online updating approach for massive MIMO CSI feedbac k,

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.683012Z

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 4ce5ec90-622e-4170-a475-56b8524d1fe2 · outbound

This paper cites User-centric onli ne gossip training for autoencoder-based CSI feedback,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems User-centric onli ne gossip training for autoencoder-based CSI feedback,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.659340Z

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=2026-08-05T13:22:37.951614Z digest=sha256:f4bcbe6959e025b31ea3488f988953d83117d7d5703c6a450811dcb35a80ad49

Observation bd420118-06d1-46ff-b834-ba08b856caa1 · outbound

This paper cites Unsupervis ed online learning in deep learning-based massive MIMO CSI feedback,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Unsupervis ed online learning in deep learning-based massive MIMO CSI feedback,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.626251Z

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=2026-08-05T13:22:38.059821Z digest=sha256:eba83a51ff0b51406e148c0449f2b415a28832d58e68af902e21c6325105a2c5

Observation b08eedf8-4dad-4748-9057-f23d306f1adb · outbound

This paper cites Continuous onlin e learning- based CSI feedback in massive MIMO systems,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Continuous onlin e learning- based CSI feedback in massive MIMO systems,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.593122Z

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=2026-08-05T13:22:38.130910Z digest=sha256:54a3762627c6f6365ec05dcfcf016e0b811563180c3a2dcd8c0b196e615a8dd4

Observation 5878f19d-8cb0-4c66-9069-a5da368ead40 · outbound

This paper cites Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:22:40.546629Z

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=2026-08-05T13:22:38.196071Z digest=sha256:106a94037a380c13a6d8730efd044be1104dc21021868d42f1e7f23bd1cfbfd4

Observation bcfd8972-3166-46ee-bd44-d3ed0607f0e5 · outbound

This paper cites Decentralize d learning works: An empirical comparison of gossip learning and federated le arning,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Decentralize d learning works: An empirical comparison of gossip learning and federated le arning,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.537867Z

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=2026-08-05T13:22:38.269003Z digest=sha256:0fe494eef69454ef6e407c79a61fd9412dc5d1a500da316163d12c353146eed7

Observation 850b2a53-5eb3-4b15-bab5-905d603c2a6e · outbound

This paper cites Gossip lear ning with linear models on fully distributed data,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Gossip lear ning with linear models on fully distributed data,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.494118Z

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=2026-08-05T13:22:38.355518Z digest=sha256:1685fb3a95159ab83e6df1cfb61169dbf7d80cd4fc0e7dd75ee37d3b3e011525

Observation 669c20b7-0f8b-459c-bf0e-aa0eb1023a6b · outbound

This paper cites Lea rning to continuously optimize wireless resource in episodicall y dynamic en- vironment,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Lea rning to continuously optimize wireless resource in episodicall y dynamic en- vironment,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.468562Z

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=2026-08-05T13:22:38.423155Z digest=sha256:2ff0554def8c58c335256b489ae96f23877aeb7ab7a83cb38d76f9b0fa8d2bf5

Observation 4c40dae5-5cde-4682-bf7c-05270ac437e3 · outbound

This paper cites Parameterization of the cost 2100 MIMO cha nnel model in indoor scenarios,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Parameterization of the cost 2100 MIMO cha nnel model in indoor scenarios,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.442715Z

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=2026-08-05T13:22:38.544126Z digest=sha256:449022b385fd7c82ff619d3fab665887fc01b49ce6b98b5c768fd52707740577

Observation f0c88682-abbc-45a5-bb37-3e6c73edf2c7 · outbound

This paper cites DeepMIMO: A generic deep learning datas et for mil- limeter wave and massive MIMO applications,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems DeepMIMO: A generic deep learning datas et for mil- limeter wave and massive MIMO applications,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.411070Z

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=2026-08-05T13:22:38.631073Z digest=sha256:2e58e049b495fe12944206a332e0271170332ee4d23a7218b43f95da8b991ff5

Observation 0e547a1a-290f-4098-bcb7-2fb4c972d1c2 · outbound

This paper cites Fully convolutional neural network-based CSI limited feedback f or FDD massive MIMO systems,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Fully convolutional neural network-based CSI limited feedback f or FDD massive MIMO systems,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.385339Z

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=2026-08-05T13:22:38.694429Z digest=sha256:24a023f3c4cd31a645b4adc47857f538d5ff3fc2b168b78ddbb50753d8e2971f

Observation a4b41713-7641-4599-aef9-777806669694 · outbound

This paper cites Activatio n functions in deep learning: A comprehensive survey and benchmark,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Activatio n functions in deep learning: A comprehensive survey and benchmark,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.360101Z

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=2026-08-05T13:22:38.780673Z digest=sha256:9e1ea18a097f9da62b52d0167a55fb321fa74c824789064a3d69c2e95c7a82e4

Observation 1a10b4bf-ec71-490f-ab2c-782af6d39c18 · outbound

This paper cites Communication-ef ficient personalized federated edge learning for massive MIMO CSI f eedback,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Communication-ef ficient personalized federated edge learning for massive MIMO CSI f eedback,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.327269Z

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=2026-08-05T13:22:38.894340Z digest=sha256:45486917a5288157095790e2b665d925c92255035c45fd6f5e4c8775327f8c1e

Observation 9ddc3c65-8fcf-4ffb-93c6-cb0901281180 · outbound

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

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Study on channel model for frequencies from 0.5 to 100 GHz,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.302436Z

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=2026-08-05T13:22:38.986525Z digest=sha256:7610836e0f1d057f20a7facb8de29dce6d51fbdeb9c87b69fe06b2f44806263a

Observation 1637cbaf-9928-4faf-a2b0-49aa69b9ef1c · outbound

This paper cites Cross-entropy loss func tions: Theoretical analysis and applications,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Cross-entropy loss func tions: Theoretical analysis and applications,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.267661Z

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=2026-08-05T13:22:39.064238Z digest=sha256:52a0784ef39d73ebb479d6166f2ba31ac5786aac0c9c95258ceb43f12e79956c

Observation 3522a703-8b04-40d1-a4f9-075d4c5b3cbe · outbound

This paper cites Improved training of wasserstein gans,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Improved training of wasserstein gans,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.240330Z

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=2026-08-05T13:22:39.149820Z digest=sha256:3ae1cf600833a7ebed149bfc5b4cabfb26d3cae65ca0287ad95baf3bc2f570df

Observation dceecf7c-950a-42c1-a021-6ff7db69c0df · outbound

This paper cites Automatic different iation in pytorch,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Automatic different iation in pytorch,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:42.197775Z

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=2026-08-05T13:22:39.236140Z digest=sha256:66fcec8888daf2782eb19dd943240d1e7652488b20fe5f557c480a0da46d86b6

Observation 706018ec-8617-4cde-805c-a673aac087dd · outbound

This paper cites Comparison of Methods Generalizing Max- and Average-Pooling.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Comparison of Methods Generalizing Max- and Average-Pooling

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:22:40.345105Z

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=2026-08-05T13:22:39.297780Z digest=sha256:2b97c47d58e1ccc8dda8a2c3437f7db51224a23b5a7b6a247cc745b8ed948348

Observation 905ef5e3-64db-4b5a-bc55-b69d7e0758f1 · outbound

This paper cites Deep learning for effi cient CSI feedback in massive MIMO: Adapting to new environments and s mall datasets,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Deep learning for effi cient CSI feedback in massive MIMO: Adapting to new environments and s mall datasets,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:41.960903Z

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=2026-08-05T13:22:39.353643Z digest=sha256:196008b20790d865ae910e9d619566709d21d60ef9778ee16236b8aa029d7712

Observation 6068d7a1-c8d4-4752-84cb-f4ba030bb938 · outbound

This paper cites Decentralized federated learning of deep neural networks on non-iid data.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Decentralized federated learning of deep neural networks on non-iid data

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T13:22:39.473150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:22:39.473150Z digest=sha256:25c8c44819cc42b68acfb3d79a1cb06f971b1ef68a1d1cf9adb4fff55a35a5a3

Observation 486f5d17-0664-4faa-8c44-6d72e70d74ee · outbound

This paper cites Gossiping gans : Position paper,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Gossiping gans : Position paper,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:41.691897Z

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=2026-08-05T13:22:39.521248Z digest=sha256:84ae98082563025de9647c2fb10167dd36dc949f39594c88a2ee9f7437df5a2a

Observation 332a406b-c3d1-4448-9f57-39c77348ad9a · outbound

This paper cites Torchviz,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Torchviz,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:41.535451Z

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=2026-08-05T13:22:39.607869Z digest=sha256:c34fc4f6bcdfb88c479c47d9bade5366054f7d788014dd8d3a79e962bb84013c

Observation 9f1a7176-dae9-489e-b476-b72d22155d2b · outbound

This paper cites Federated Generative Adversarial Learning.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Federated Generative Adversarial Learning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T13:22:39.664730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:22:39.664730Z digest=sha256:f37d072fc8101a82f6ee614c208cb26d565bfe62a0ad64e6576312b9e811d936

Observation 4c48a35b-7c72-4433-8f91-910123772beb · outbound

This paper cites Gossip learni ng as a decentral- ized alternative to federated learning,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Gossip learni ng as a decentral- ized alternative to federated learning,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:41.301273Z

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=2026-08-05T13:22:39.739736Z digest=sha256:46c8efa62e8f28b71679c9c1a7900e16c37f8d6d9d4799f4656acdd6c5550420

Observation 934729f9-a184-4093-b149-0994e10d0a23 · outbound

This paper cites An efficient deep learning framework for low rate massive MIMO CSI reporting,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems An efficient deep learning framework for low rate massive MIMO CSI reporting,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:41.082475Z

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=2026-08-05T13:22:39.779733Z digest=sha256:1734058c794de805719564cc435f2c97955ef907c05a3f2137da6d2133084172

Observation 811f6374-0bd4-461d-a93f-5da8017c8302 · outbound

This paper cites Distributed d eep convo- lutional compression for massive MIMO CSI feedback,.

Distributed Gossip-GAN for Low-overhead CSI Feedback Training in FDD mMIMO-OFDM Systems Distributed d eep convo- lutional compression for massive MIMO CSI feedback,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:22:40.935888Z

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=2026-08-05T13:22:39.856744Z digest=sha256:31529f02762c8beeca8c7edba20d6dded90e62c1d31f98b9c5749744675bd532

Pith citing papers

No inbound Pith citation observations are available.