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Paper Citation Record · LEDGER

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC

As of 12 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:2501.16951.

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

pith.paper-citation-record.v1
2501.16951 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:36:17.859113Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:02:45.179652Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:02:45.413286Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved14
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a4cde05-e72c-4255-8590-28cab736c163 · outbound

This paper cites Joint radar and communication design: Applications, state-of-the-art, and the road ahead,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Joint radar and communication design: Applications, state-of-the-art, and the road ahead,

Reference 1

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no resolver link, observed 2026-08-10T05:36:17.717639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0512f8b5-8e4c-4b85-b0d0-a261d83bf294 · outbound

This paper cites An overview of signal processing techniques for joint communication and radar sensing,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC An overview of signal processing techniques for joint communication and radar sensing,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.272395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.721100Z digest=sha256:d31d7698abc4a83de405371c211e6082980853dcceab57b230d23a7e81cfdd99

Observation 43b4a8c4-812a-496f-85e5-1398513aaa46 · outbound

This paper cites Integrated sensing and communications: Toward dual-functional wire- less networks for 6g and beyond,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Integrated sensing and communications: Toward dual-functional wire- less networks for 6g and beyond,

Reference 3

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no resolver link, observed 2026-08-10T05:36:17.723842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:36:17.723842Z digest=sha256:773398d11875e49206f0f9a5781dc6e6c519412689b67420d4f437b5c2016c73

Observation d1aa0e02-1c4e-4ccb-bb62-4b06408d4101 · outbound

This paper cites Cooperative ISAC networks: Performance analysis, scaling laws and optimization,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Cooperative ISAC networks: Performance analysis, scaling laws and optimization,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.257089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.726651Z digest=sha256:2581e4c433cf2ba43e59091235dd8795fc405ee6f518fe6f7db022120b7fdf2f

Observation ae5bf285-7500-4d1c-a26a-07a658a00ce5 · outbound

This paper cites Sensing-assisted communication in vehicular networks with intelligent surface,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Sensing-assisted communication in vehicular networks with intelligent surface,

Reference 5

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raw_fallback, observed 2026-08-10T05:36:18.247068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cdfbd911-7d22-47fd-b4e4-7103e25c5710 · outbound

This paper cites To- ward dual-functional radar-communication systems: Optimal waveform design,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC To- ward dual-functional radar-communication systems: Optimal waveform design,

Reference 6

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no resolver link, observed 2026-08-10T05:36:17.732139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:36:17.732139Z digest=sha256:9516ef59f1443d8a5782a05ed7f1a8f01eec0a5ce010399d2b2756b3b600eddf

Observation 2ff5684e-41c4-4380-b856-d4b267d2a777 · outbound

This paper cites Joint transmit beamforming for multiuser MIMO communications and MIMO radar,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Joint transmit beamforming for multiuser MIMO communications and MIMO radar,

Reference 7

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unresolved
no resolver link, observed 2026-08-10T05:36:17.734848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:36:17.734848Z digest=sha256:1263f1c537e11de87f6dec54166a569b6d63800ac362147565c19bfc3fc05dbe

Observation 7e1b23e6-3a93-4c81-8b3a-d2775f1d85fe · outbound

This paper cites Low-complexity beamformer design for joint radar and communications systems,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Low-complexity beamformer design for joint radar and communications systems,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.227865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.737140Z digest=sha256:b3daa54d5d1666b85922bcd2799612d2700e819e90a5b54d0505fdb6d57265c0

Observation 4b47f42a-e629-4385-ad63-f57a3e24480a · outbound

This paper cites Cram ´er-rao bound optimization for joint radar-communication beamforming,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Cram ´er-rao bound optimization for joint radar-communication beamforming,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.220517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.740405Z digest=sha256:2f15b50064a68c8e55f5ee58f9dfb7c56d384e97f4baa0386f19b069a373d2ca

Observation 521ed136-4c7d-4d33-8305-da875b3c6ac7 · outbound

This paper cites Optimal transmit beamforming for integrated sensing and communication,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Optimal transmit beamforming for integrated sensing and communication,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.213336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.743693Z digest=sha256:0d149f3dfcef741208c200e426cb6d68d88f0ca19731ccc1f000f5a86bd76002

Observation 214aca3a-4620-46cb-ac6b-bb706607f97a · outbound

This paper cites A framework for mutual information-based MIMO integrated sensing and communication beam- forming design,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC A framework for mutual information-based MIMO integrated sensing and communication beam- forming design,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.206323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.747099Z digest=sha256:97b9f199424c33558d6c82157566b7b641aa45979e1bc7f0eb9070bae7e6972d

Observation e88533e7-4a68-405a-8129-028c107e3f32 · outbound

This paper cites Network-level inte- grated sensing and communication: Interference management and BS coordination using stochastic geometry,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Network-level inte- grated sensing and communication: Interference management and BS coordination using stochastic geometry,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.197230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.750370Z digest=sha256:0cceb63c023e00c52dd206c320c6ea13f4a4cfb9879cf52be24b679ee6d7ce84

Observation 866c6654-da34-4be1-be06-a0213a5a73be · outbound

This paper cites Cooperative ISAC networks: Opportunities and challenges,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Cooperative ISAC networks: Opportunities and challenges,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.188492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.753511Z digest=sha256:42d00e4114b63204a65c415c464ce33462b7d7fd55ff49e9fbcc1933e2da2d7e

Observation 593e49d2-ce7a-4051-a710-e1653f414999 · outbound

This paper cites Precoding for Multi-Cell ISAC: from Coordinated Beamforming to Coordinated Multipoint and Bi-Static Sensing.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Precoding for Multi-Cell ISAC: from Coordinated Beamforming to Coordinated Multipoint and Bi-Static Sensing

Reference 14

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unresolved
no resolver link, observed 2026-08-10T05:36:17.757041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c223c32f-15c1-476f-bf85-f907c7e5ad41 · outbound

This paper cites Low-complexity transmit antenna selection and beamforming for large-scale MIMO communications,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Low-complexity transmit antenna selection and beamforming for large-scale MIMO communications,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.179694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.760626Z digest=sha256:47497228f996111cdfc111f98c8c8905180a6fc41da5030cd256eb02d9da3fcd

Observation 8126ef20-28ce-4419-8488-67d745ca65d1 · outbound

This paper cites An iteratively weighted mmse approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC An iteratively weighted mmse approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.170423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.763734Z digest=sha256:3353cbf7e013fcc2d79433a3ef2bda561b62e212377050a08088f58e33f057ab

Observation cef1e5fa-1628-4e81-91be-cd9ad1db3463 · outbound

This paper cites Mutual information-based integrated sensing and communications: A wmmse framework,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Mutual information-based integrated sensing and communications: A wmmse framework,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.161085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.766863Z digest=sha256:8324418aeaad91068316204384cfdcd2499da88b9886d19174fa958796ef4123

Observation 5540ac4e-c64c-4d6b-ba94-fd7d76fcfb17 · outbound

This paper cites Twenty- five years of advances in beamforming: From convex and nonconvex optimization to learning techniques,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Twenty- five years of advances in beamforming: From convex and nonconvex optimization to learning techniques,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.151386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.769874Z digest=sha256:b5aca90de2206f491b88958e970c8eed3dcef3a4a8094d5fb90ecd1b74efe68d

Observation c92a2b12-bb58-4e83-84fc-9ea0fb5e0b33 · outbound

This paper cites Learning to optimize: Training deep neural networks for interference management,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Learning to optimize: Training deep neural networks for interference management,

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.142200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.773117Z digest=sha256:e3809770f63f9bff033e95aab6638c8abd18d8e395b807e3de26a40466b5fc9d

Observation eff295ca-eb50-41fd-b8f4-c502d41f17bd · outbound

This paper cites A deep learning framework for optimization of MISO downlink beam- forming,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC A deep learning framework for optimization of MISO downlink beam- forming,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.132932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.776381Z digest=sha256:a7dcfb6bf894d2b833a038503ddc6952638a4afa181bb429d240ec3546bb4b09

Observation ed720eab-ec4c-4a82-92c5-33784a7a803b · outbound

This paper cites Unsu- pervised learning-based fast beamforming design for downlink MIMO,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Unsu- pervised learning-based fast beamforming design for downlink MIMO,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.123018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.779714Z digest=sha256:55acaa1b44eeab064fbbfd10784831436427b226f110b6c5256d159734970a35

Observation 9479e12b-65ab-4990-80e5-16a99e39e283 · outbound

This paper cites Beamforming design for large-scale antenna arrays using deep learning,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Beamforming design for large-scale antenna arrays using deep learning,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.111935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.783057Z digest=sha256:3311316c2dd237cfe85f422b9121ee9e1b2f4da6ceda150dce93afd5c843f7a6

Observation 41cc320a-1f9b-4dfa-9753-35dd63f679f4 · outbound

This paper cites Unsuper- vised deep learning for massive MIMO hybrid beamforming,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Unsuper- vised deep learning for massive MIMO hybrid beamforming,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.102198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.786083Z digest=sha256:7f0364616e308c71373eee052ed9490bff506c0bb59acaa931031f4ccf4aaeaa

Observation 339a6d48-c6f4-48bf-8dc5-4cbcb7c4701c · outbound

This paper cites Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.091577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.789238Z digest=sha256:45507eda57d339341ca1b3635f85aad7f80a03fddd57134a9a539bcabceb1e24

Observation 74cdacf5-f809-4003-8e1f-d7c81f8e02e4 · outbound

This paper cites Learning to precode for integrated sensing and communication systems,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Learning to precode for integrated sensing and communication systems,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.083122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.792343Z digest=sha256:18744b0e3cbbb152d075fc4a44c4716bbca970c16e9edbad4547984adc14c7fe

Observation f5954b8c-1ed6-4c65-bf64-5c910440a853 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Communication-efficient learning of deep networks from decentralized data,

Reference 26

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unresolved
no resolver link, observed 2026-08-10T05:36:17.795425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:36:17.795425Z digest=sha256:eeb4d24fbae3cb03ce615ece50f0e2f4eeb8da10ce977d6c63cdf497c66666d0

Observation 569560c7-9af7-4c4c-b2ca-d56ab266590f · outbound

This paper cites Distributed learning in wireless networks: Recent progress and future challenges,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Distributed learning in wireless networks: Recent progress and future challenges,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T05:36:17.798436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:36:17.798436Z digest=sha256:ab5e8b7ba3fffa8f92a2e5d812f5ba88062a34d95cdf313c1d1a9983de240cee

Observation 79998845-1115-43cf-831e-d9ef9e75182f · outbound

This paper cites Federated learning for hybrid beamforming in mm-wave massive MIMO,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Federated learning for hybrid beamforming in mm-wave massive MIMO,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.065056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.801522Z digest=sha256:b0efcc17a26a4d0701bf25e335dc06a6383b98947ca0de27bd56a71fa269a607

Observation a7239705-b782-4592-9b81-d80c11465cd3 · outbound

This paper cites Federated learning for channel estimation in conventional and ris-assisted massive MIMO,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Federated learning for channel estimation in conventional and ris-assisted massive MIMO,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.056577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.805167Z digest=sha256:f16269c88c1b09a0a004834c06f62ed0fbc9e79aa6c90fb53544258c72c98167

Observation 4387a608-0492-44d0-8a56-fe7843ff122e · outbound

This paper cites Federated learning for physical layer design,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Federated learning for physical layer design,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.046440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.808898Z digest=sha256:3e6314dc97e1dc84cfb297e44fbf6ee2866bc3910005aadbdc43948b95f5f8fd

Observation 050e6112-cec1-4cc7-9be2-710d90d4e397 · outbound

This paper cites Model-driven federated learning for channel estimation in millimeter-wave massive MIMO systems,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Model-driven federated learning for channel estimation in millimeter-wave massive MIMO systems,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.036429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.812217Z digest=sha256:a1b3ee2ac749d20bb6e041f1fa4bf32740f82f1960f5ac8529b1e7bb8e24ae66

Observation 888d4e5e-86a9-4426-9f1d-442c39f97f99 · outbound

This paper cites Fast beamforming design via deep learning,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Fast beamforming design via deep learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.026541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.815572Z digest=sha256:9ef0bbd190e89e46b842dd72280df5449649bec214980d6e14cb6a734641a7a8

Observation bd60cbf4-f7e3-4f78-a937-0c4d3d1bca95 · outbound

This paper cites Federated learning for precoding design in cell-free massive MIMO systems,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Federated learning for precoding design in cell-free massive MIMO systems,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.016606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.818906Z digest=sha256:2a45714d1a0d334e4243e9e39a4c34a0bebe9c5151d8cf2e8bfe03f1438bfdde

Observation 1223645b-ec63-4772-95b4-3027838ff1af · outbound

This paper cites Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T05:36:17.822018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:36:17.822018Z digest=sha256:9c7ecd524c9cf94e68755015bcea73927a4eaa43ddeca44b2e6147a6876a26a3

Observation f5ca0b29-509a-4ea6-be5f-4eb098cebf21 · outbound

This paper cites On probing signal design for MIMO radar,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC On probing signal design for MIMO radar,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:18.006983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.825761Z digest=sha256:35c697e886929cc62cb4e2bb2eb19a7bb976c3d0d0859a42204f00964d6f1464

Observation 0b2bb5f9-5c96-453f-adba-0ae47808d260 · outbound

This paper cites MIMO radar waveform design based on mutual information and minimum mean-square error estimation,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC MIMO radar waveform design based on mutual information and minimum mean-square error estimation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:17.996701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.829133Z digest=sha256:d89325facc8738081437bcd6369184a447c441d336fbf39fb7c23b2198a6616c

Observation 9f8591fb-79ef-4237-bbb5-f53f50bd5d0a · outbound

This paper cites Multilayer feedforward networks are universal approximators,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Multilayer feedforward networks are universal approximators,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T05:36:17.832464Z

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source=pdf_text observed=2026-08-10T05:36:17.832464Z digest=sha256:3e0163ba47d3b7cabc37795ccc8ad5f998ee72b1d9d250050fec6f68fd2d89eb

Observation d0e90cdf-c4e5-4ef7-ae3a-8d5b20401f76 · outbound

This paper cites Rectifier nonlinearities improve neural network acoustic models,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Rectifier nonlinearities improve neural network acoustic models,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T05:36:17.835939Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:36:17.835939Z digest=sha256:e0331a20a19382adbd4e78354bae72d5e6a8244f2efad260b3be76bd35881286

Observation 2c63bbd8-e5cc-45cf-ab15-cb6942c2e316 · outbound

This paper cites Backpropagation and stochastic gradient descent method,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Backpropagation and stochastic gradient descent method,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T05:36:17.839122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:36:17.839122Z digest=sha256:b5555867f81c7acc4ab6241954f327b6a786c2c637addfede6176b8890508fe9

Observation b3a79570-d13b-4ad1-a7ed-2f2a44bc13c5 · outbound

This paper cites Iterative algorithm induced deep-unfolding neural networks: Precoding design for mul- tiuser MIMO systems,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Iterative algorithm induced deep-unfolding neural networks: Precoding design for mul- tiuser MIMO systems,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:17.970341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.842239Z digest=sha256:07c5221ec682932789bcff7b5d96308a85cd495bb3f376d7823a6a4703211dcc

Observation dd3c0b7b-c5cd-45cf-99e4-c9aac0b2f240 · outbound

This paper cites Multi-cell coordinated joint sensing and communications,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Multi-cell coordinated joint sensing and communications,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:17.959812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.844660Z digest=sha256:80b8bed23bc1f786ce3f3588b8661ed09bfca04d67bdc32852e9761e409ff036

Observation 26f64341-d69f-41b1-83a3-81ad470503f8 · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC On the Convergence of FedAvg on Non-IID Data

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T05:36:17.846980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:36:17.846980Z digest=sha256:628c963d7426b899a2531e1a1e1afb741ff2650fe7131ccbb42407d457b82299

Observation 8c54de15-80d4-4a31-a86b-7b43ff8a66d7 · outbound

This paper cites Deep learning methods for universal miso beamforming,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Deep learning methods for universal miso beamforming,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:17.949537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.849599Z digest=sha256:e1756a4df1bf95460a07a3250606fc77023bacce1daa56c9e9d20ab6ccf8f9b3

Observation 36648284-8ffb-4d92-9f07-8a11f3a24359 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Adam: A Method for Stochastic Optimization

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T05:36:17.851840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:36:17.851840Z digest=sha256:db5d4840690130d6b2741e04c713a39be6be00fcccc402ad8e4f76d6f22298a9

Observation 7a66d385-15dc-4ef0-9d22-02ce29bbf25f · outbound

This paper cites Massive MIMO linear precoding: A survey,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Massive MIMO linear precoding: A survey,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:17.939148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.854506Z digest=sha256:608d12c5fb9a8d74ce60a5cbb546a1a892d432f28d5acd29a2c1418780d8e9ba

Observation 44dc4cdc-1b5d-4de9-b3c8-10ed613b8aaf · outbound

This paper cites Distributed beamforming coordination in multicell MIMO channels,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Distributed beamforming coordination in multicell MIMO channels,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T05:36:17.928229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T05:36:17.856896Z digest=sha256:5361c33021c5aa5be61494d6a312b98af09e586b5979c9f3f5e47d4a3792b12a

Observation 38cead2a-85ec-49bd-956c-78778b9c3c4e · outbound

This paper cites Learning both weights and con- nections for efficient neural network,.

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC Learning both weights and con- nections for efficient neural network,

Reference 47

Resolution
unresolved
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T05:36:17.859113Z digest=sha256:94afc64c3c34cd5888a8a1e4145ad1fda11399c468d3fd7234214264b9747041

Pith citing papers

Observation e3a9f810-fa1b-4c97-8815-4151eb346d99 · inbound

Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities cites this paper.

Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC

Reference 196

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:02:45.418542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-05T17:02:45.179652Z digest=sha256:751220d7d8a46f0ff3cfa8afee19787719a25153959e548e4cd3ca91687dd294