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Paper Citation Record · LEDGER

Federated Learning Strategies for Coordinated Beamforming in Multicell ISAC

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.721100Z digest=sha256:7e41a0b131fd08a16b5713eca2545432f2ccf7d3f7577b4005aeef98a69f8d50

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.726651Z digest=sha256:8dbce4a613e426c0bb0b9dd4e0ea10353dc39c9899b5d7027a038704640fb892

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.729263Z digest=sha256:ef7f68f6af4bb79c5aefbc0e193bc3a73bdf5e07eb6d63196002a3816e50e193

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.737140Z digest=sha256:3021cebd1c07d8b8dad5cfd50ced05a3c614cd4a17943e52660199952a776e01

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.740405Z digest=sha256:5934f0c4b11e233b8d5dfc794aefae75deb2b6888548bb1f647b483deae748c2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.743693Z digest=sha256:11e56675a9e31790a4083c76bc3990f39c076dd275198d058ff2ede24ce64b18

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.747099Z digest=sha256:eb6975b9c24d6f00644ad578f3bc69320ce6e95291c5a0b43aebe52b131a77dc

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.750370Z digest=sha256:49fb92d2ce55e1920cf30d7c9e27e88f24462157f3342762522a1f3b6bd1fabd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.753511Z digest=sha256:ec754996384b9e0e195efcd8a3f033f11e3656743cde2cc1bd173443afbae348

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.

source=pdf_text observed=2026-08-10T05:36:17.757041Z digest=sha256:73b4c8b63a1980f68e9e09e9cd979eaff565bbf8fdbed69ebb2f6b77808af2af

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.760626Z digest=sha256:861032b9c3cd2771ff953e62049872676f9e3aa16f4b5618d5fee55f4a520f4e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.763734Z digest=sha256:976625a70453af891d8ef1ab0d392f2dcc35d4d4a3ac841df574b4b90685731e

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.766863Z digest=sha256:ea5558c6d4dc939247ca848c42daeb333ff93bda095f2d1dc590fca749c7d6d3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.769874Z digest=sha256:ae47e8f2bfc37da0cfbafb38d36971bad21ca72f6091f7dbf6e4d2913e1c53a9

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.773117Z digest=sha256:7c02bfc51ab65680493b7a6758e7b929ec36ccb43771aca43ed877218471991f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.776381Z digest=sha256:929ed18ff455ff49c690e27b4f0ee54e0de2828d7a90a2838c81ec117c4301b6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.779714Z digest=sha256:e690637df1ff4344b74ed271325e9a5b889267074240b927249c1a840e47a293

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.783057Z digest=sha256:34816e12a740ab635d838ece92fc12e06d956d35b0b7e0efd17e186e64f416ac

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.786083Z digest=sha256:0947cfd71eaba542e78161eb216cbe56d2a63f87824388232719723cf5ae6446

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.789238Z digest=sha256:aa764b094880126798c08d76920203094ac8b0a5a6992ff9ba1f1d182e91f022

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.792343Z digest=sha256:8af830f9ab8de43e423ca43942edaa5b7f49bba55ab52aa75c81a2ac3a14a99b

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

Resolution
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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.801522Z digest=sha256:c7f6639cad88b4c95f76b7ecbc2eaa00bdeecefff51c0bb47401226b2d3a37c8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.805167Z digest=sha256:c235de7243de741a7ac2db2b4e9c30ee6c878b0621d50c6ca6c4832d132c5fac

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.808898Z digest=sha256:8a36c177dfc849e96e8e8aa23c3e2f53c066548bde2598c43473633ad2277bf7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.812217Z digest=sha256:424c018832e12c2419bd700541b7bf5a31818ea78848a1ade9b5348adb8b9f0f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.815572Z digest=sha256:fb0f8d72d457dc1fc6f27047fc74d9dab19054e2cca1d29fca3d5f379aba717e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.818906Z digest=sha256:233e46649aee65504e5b511d93cda109047de31a36d6c61a52c4a1481a4990d7

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

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source=pdf_text observed=2026-08-10T05:36:17.822018Z digest=sha256:eec8f963f3e1861db99127d2a28e0749f0174ef7ab541fee81fe1583a2e897e4

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.825761Z digest=sha256:932ff01eabb5b09ea7ac406ce09b6e790d977eb75de7fbbfc46fbf0e5f6fe113

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.829133Z digest=sha256:852ff7be34a9f0dedc939b00256094391812ff6b217a9afa8146d6b587f1c342

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

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

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Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.842239Z digest=sha256:cf0615ae11afe7cd1d306dde72e651b5665bc257df3a97d5efd7e791441b17ff

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.844660Z digest=sha256:e2e776d1ffc0e1e3a480a540b1ad5411c932ae6549b7db98bf7230df9f28218a

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.849599Z digest=sha256:2b40a5b0d66220c4de22b5afd8c90ba6af7e8ba08163ac4f80e568d56ce71a5d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.854506Z digest=sha256:87ec75063f344b9c95664153d1ed5b7d726fb0c3e5ac51f78f02d6a5e1d0f615

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T05:36:17.856896Z digest=sha256:dbe9027e6d08dff51d50483f6ae36ede66157a0a07e4f471169f49c9593d5be3

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

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unresolved
no resolver link, observed 2026-08-10T05:36:17.859113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T17:02:45.179652Z digest=sha256:5570202fd772656b3e235065291a1ee3fb1d4c8ce041913f277629f72eefa271