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Paper Citation Record · LEDGER

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models

As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2506.05637.

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

pith.paper-citation-record.v1
2506.05637 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:36.702858Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:02:12.313057Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:02:12.747381Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy48
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 435e8c79-a913-421c-9fbe-d59d61145aa7 · outbound

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

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Joint radar and communication design: Applications, state-of-the-art, and the road ahead,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b72fc03e-e621-4817-b617-a2a04502d43d · outbound

This paper cites Space-air-ground integrated wireless networks for 6G: Basics, key technologies, and future trends,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Space-air-ground integrated wireless networks for 6G: Basics, key technologies, and future trends,

Reference 2

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raw_fallback, observed 2026-08-07T10:20:44.641128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f6820b69-5d42-4191-bdb0-bb16a9cabc9d · outbound

This paper cites Integrated Sensing and Communication: Towards dual- functional wireless networks for 6G and beyond,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Integrated Sensing and Communication: Towards dual- functional wireless networks for 6G and beyond,

Reference 3

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c945bcb2-0073-4253-b5a4-397ab9c5d3ab · outbound

This paper cites Waveform design and signal processing aspects for fusion of wireless communications and radar sensing,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Waveform design and signal processing aspects for fusion of wireless communications and radar sensing,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f2ec5481-0c52-4af0-b8e1-04f875688df4 · outbound

This paper cites JCR70: A low-complexity millimeter-wave proof-of-concept platform for a fully-digital SIMO joint communication-radar,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models JCR70: A low-complexity millimeter-wave proof-of-concept platform for a fully-digital SIMO joint communication-radar,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7da1baf1-ca85-4e8f-ae88-35ce8069477f · outbound

This paper cites Increasing capacity in wireless broadcast systems using distributed transmission/directional reception (DTDR),.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Increasing capacity in wireless broadcast systems using distributed transmission/directional reception (DTDR),

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4273c66d-8c79-4e7c-acb7-69ed28d8fed5 · outbound

This paper cites High resolution FDMA MIMO radar,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models High resolution FDMA MIMO radar,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2d4aa5b1-b567-40b6-9cb4-57b55524ba70 · outbound

This paper cites Extremely large aperture array (ELAA) communications: Foundations, research advances and challenges,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Extremely large aperture array (ELAA) communications: Foundations, research advances and challenges,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6c6a3eff-fcbe-4323-a371-5335ba0e1b83 · outbound

This paper cites Joint maneuver and beamforming design for UA V-enabled integrated sensing and communication,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Joint maneuver and beamforming design for UA V-enabled integrated sensing and communication,

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation de81c1ec-9f54-4934-81bc-6b6a80bed8e2 · outbound

This paper cites Joint beamforming and UA V trajectory optimization for covert communications in ISAC networks.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Joint beamforming and UA V trajectory optimization for covert communications in ISAC networks

Reference 11

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Observation fd14cd24-988d-4424-a8a8-33489a2c8ed0 · outbound

This paper cites MU-MIMO communications with MIMO radar: From co-existence to joint transmis- sion,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models MU-MIMO communications with MIMO radar: From co-existence to joint transmis- sion,

Reference 12

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raw_fallback, observed 2026-08-07T10:20:43.982402Z

Source-reported events for the cited work

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Observation 26fc8975-f095-4435-b33b-909d74a80270 · outbound

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

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Joint transmit beamforming for multiuser MIMO communications and MIMO radar,

Reference 13

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no resolver link, observed 2026-08-07T10:20:31.732949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:31.732949Z digest=sha256:c833f5bc48c4e8d727e5082061f0cb20b58fb1ad0892b58da6c98b0ce10f206a

Observation 1741d800-779b-448b-b272-07596ff0ed39 · outbound

This paper cites Communication-sensing region for cell-free massive MIMO ISAC systems,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Communication-sensing region for cell-free massive MIMO ISAC systems,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5faffe6e-f64d-46b6-be9a-e128108b9dec · outbound

This paper cites SNR/CRB- constrained joint beamforming and reflection designs for RIS-ISAC systems,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models SNR/CRB- constrained joint beamforming and reflection designs for RIS-ISAC systems,

Reference 15

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raw_fallback, observed 2026-08-07T10:20:43.520249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 04411f49-f91e-4cb7-91fe-3562e420a131 · outbound

This paper cites Cram ´er-Rao bound optimiza- tion for active RIS-empowered ISAC systems,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Cram ´er-Rao bound optimiza- tion for active RIS-empowered ISAC systems,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 168445b7-7cf7-4864-afd1-1bc102acbe83 · outbound

This paper cites Learning- based predictive beamforming for integrated sensing and communica- tion in vehicular networks,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Learning- based predictive beamforming for integrated sensing and communica- tion in vehicular networks,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:32.019299Z digest=sha256:213d05fa9d82f60529eaa168d6ff33a30c4d0beea89c9d1688cd73d5d4cdbe21

Observation 0d28c82d-37bb-4e9d-b02f-dbd20266d23d · outbound

This paper cites Predictive beamforming for vehicles with complex behaviors in ISAC systems: A deep learning approach,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Predictive beamforming for vehicles with complex behaviors in ISAC systems: A deep learning approach,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3c9e8579-8678-478c-aa6a-4f2dbdcc793b · outbound

This paper cites ISAC- NET: Model-driven deep learning for integrated passive sensing and communication,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models ISAC- NET: Model-driven deep learning for integrated passive sensing and communication,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:32.174382Z digest=sha256:eac72a54a7b02986f8c418c2f76447562317ca84dfba553f33be996647ace2f1

Observation fe9ff654-56eb-41c7-ba30-6a231fe07241 · outbound

This paper cites Fluid antenna system liberating multiuser MIMO for ISAC via deep reinforcement learning,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Fluid antenna system liberating multiuser MIMO for ISAC via deep reinforcement learning,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:32.311179Z digest=sha256:ba22ede490e73e6a5696f587879af3f36f46c0adaca1bac4770b3519d5a1da8f

Observation ddf8f068-5b2a-4be9-9e59-98bc34412a63 · outbound

This paper cites Hybrid deep reinforcement learning for enhancing localization and communication efficiency in RIS-aided cooperative ISAC systems,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Hybrid deep reinforcement learning for enhancing localization and communication efficiency in RIS-aided cooperative ISAC systems,

Reference 21

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raw_fallback, observed 2026-08-07T10:20:42.214910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:32.411167Z digest=sha256:32327e1975823d2238a5ec58ce719b27def4a0bb06d8252805be0af6838cc528

Observation 7445d223-fa6f-4289-8660-92ea513aca6f · outbound

This paper cites Deep reinforcement learning-based resource allocation for integrated sensing, communi- cation, and computation in vehicular network,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Deep reinforcement learning-based resource allocation for integrated sensing, communi- cation, and computation in vehicular network,

Reference 22

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f5d678aa-ab90-4218-84cd-bab7965df3d6 · outbound

This paper cites Semidefinite relaxation of quadratic optimization problems,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Semidefinite relaxation of quadratic optimization problems,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:32.666179Z digest=sha256:be9cd334e7a7c528054e8ed469547abb2e2d44b38fd473d3972835e8dba7aed2

Observation 3d639a1f-a61c-4b8f-bd84-8dd0901f3cbd · outbound

This paper cites Deep learning,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Deep learning,

Reference 24

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raw_fallback, observed 2026-08-07T10:20:41.837103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:32.738000Z digest=sha256:00e62d0d4ea4791c3db63fe82d73491e3d9f3b04d4300b391f36f5af63c76b1f

Observation b49fa71b-2977-4666-a058-f992c6c7f87d · outbound

This paper cites A survey of multi-objective optimization in wireless sensor networks: Metrics, algorithms, and open problems,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models A survey of multi-objective optimization in wireless sensor networks: Metrics, algorithms, and open problems,

Reference 25

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raw_fallback, observed 2026-08-07T10:20:41.723483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7cd52671-1c8a-4d7e-8065-ecedba2538fd · outbound

This paper cites Knowledge-driven deep learning paradigms for wireless network optimization in 6G,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Knowledge-driven deep learning paradigms for wireless network optimization in 6G,

Reference 26

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raw_fallback, observed 2026-08-07T10:20:41.605940Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:32.951438Z digest=sha256:019c0a06b4f175415688820882c332558496a70caa51d025e09c6ddc186cfadd

Observation 0fe2902f-047a-42be-ba83-cbcbf301ba52 · outbound

This paper cites ChatGLM-Math: Improving math problem-solving in large language models with a self-critique pipeline.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models ChatGLM-Math: Improving math problem-solving in large language models with a self-critique pipeline

Reference 27

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raw_fallback, observed 2026-08-07T10:20:41.495343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:33.082279Z digest=sha256:144b6ba0b8c42cb5e0615ba55214a9add8bb5b2b0edea2cf82d5db6056fcb067

Observation 3f3a7257-9c59-4c1d-9142-4cd7929d7627 · outbound

This paper cites Large language models as optimizers.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Large language models as optimizers

Reference 28

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raw_fallback, observed 2026-08-07T10:20:41.403798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f501c30b-071e-4119-a5e0-a4fc67afe64f · outbound

This paper cites Large language model for multiobjective evolutionary optimization.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Large language model for multiobjective evolutionary optimization

Reference 29

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raw_fallback, observed 2026-08-07T10:20:41.291120Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:33.361724Z digest=sha256:40c095979cbacf6c24a93af0d218e12b97093c636445cc5244d2a5a99dfdc014

Observation 13914d2c-b8b7-43a6-8849-08ee81fabab0 · outbound

This paper cites Large language models to enhance bayesian optimization.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Large language models to enhance bayesian optimization

Reference 30

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raw_fallback, observed 2026-08-07T10:20:41.173360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a454aae4-2968-4662-806b-35a6dfbb7300 · outbound

This paper cites Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems

Reference 31

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no resolver link, observed 2026-08-07T10:20:33.566971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:33.566971Z digest=sha256:33caaf146664e269967e2469dbccc0a7ccf4157b8cffa23536534068984acbd5

Observation a9a6d664-83b5-4bd0-916d-c9d16bb50142 · outbound

This paper cites Leveraging large language models for the generation of novel meta- heuristic optimization algorithms,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Leveraging large language models for the generation of novel meta- heuristic optimization algorithms,

Reference 32

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raw_fallback, observed 2026-08-07T10:20:41.051977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:33.648880Z digest=sha256:9c4a72487e1356ce221f45e045eae9b474d66ebbf16cec4ca1eaf7361e509249

Observation 967a4876-9bc2-485f-9584-f2dcb02fbf10 · outbound

This paper cites A Survey of Large Language Models.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models A Survey of Large Language Models

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:33.731422Z digest=sha256:c6701e95ba94d165441e59c7159f407cb5ef4918ab02b1c205ce150e75039051

Observation 3ca704dc-92d9-4328-af78-ae470030e981 · outbound

This paper cites Large language model (LLM) for telecommunications: A comprehensive survey on principles, key techniques, and opportuni- ties,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Large language model (LLM) for telecommunications: A comprehensive survey on principles, key techniques, and opportuni- ties,

Reference 34

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raw_fallback, observed 2026-08-07T10:20:40.917524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:33.791659Z digest=sha256:ba9ea82bc1fe1fe08a32e057534b46b6858e4e2632dc4a4b28904be23fa02c1f

Observation 1687c755-422d-47c6-bcfe-cf27e99480e7 · outbound

This paper cites WirelessLLM: Empowering large language models towards wireless intelligence,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models WirelessLLM: Empowering large language models towards wireless intelligence,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:40.780136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:33.900730Z digest=sha256:945e450a91ba367a758d76d0c842c824129fa6f81481b1b8caad8a622f3ed4fa

Observation e2a6c90d-2088-41b8-9711-4823ec425ebf · outbound

This paper cites WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models WirelessAgent: Large Language Model Agents for Intelligent Wireless Networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:33.975246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:33.975246Z digest=sha256:a9c967a6cf5c5e2cdea568a60a63f35ac8a546108a1cea22a978199e7cb4c20f

Observation de02471f-09db-435e-8fbb-b9edcd2d0a29 · outbound

This paper cites Large language model agents for radio map generation and wireless network planning,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Large language model agents for radio map generation and wireless network planning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:40.643614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:34.084158Z digest=sha256:ea5ba7faca3b667088b9e68ae9366c084c8a6596f2963749cdeca1f480881004

Observation 5c98cadd-66ec-4774-9dd0-5639abcf8a56 · outbound

This paper cites Large language model-based wireless network design,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Large language model-based wireless network design,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:40.461021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:34.194013Z digest=sha256:4ed8ddb66d38f983344ed5a4155b7a43794cd3bfa605e02ede0bd53fc99c4590

Observation 788b9c0e-35bc-416b-8270-15eb0ffcbe05 · outbound

This paper cites Toward intelligent commu- nications: Large model empowered semantic communications,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Toward intelligent commu- nications: Large model empowered semantic communications,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:40.276240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:34.294896Z digest=sha256:7e6a0c1414b6f24ba54da4c7ff0b89dda7246c978eab2e14cfa6b76d603b36b6

Observation 29a090dc-e3e4-49db-9026-7dca475c6905 · outbound

This paper cites Large language models empowered autonomous edge AI for connected intelligence,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Large language models empowered autonomous edge AI for connected intelligence,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:40.131223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:34.410012Z digest=sha256:c3a71d92ec7be20d029b69614ded3cb5b837795625536dc65cc08ee9d3fca19e

Observation 5634a79f-964f-42e3-a03f-4fdfd898dffb · outbound

This paper cites Large language model based multi-objective optimization for integrated sensing and communication in UA V networks,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Large language model based multi-objective optimization for integrated sensing and communication in UA V networks,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:39.994173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:34.510473Z digest=sha256:e7d12854cc031de3a5c59f25c6c98b4a6c8930c4988e23c3671fdc7aab8468c7

Observation c33d9315-ea6c-47b6-ad14-bab06cc3cead · outbound

This paper cites Radar-assisted predictive beamforming for vehicular links: Communication served by sensing,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Radar-assisted predictive beamforming for vehicular links: Communication served by sensing,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:39.827246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:34.583366Z digest=sha256:8ec9f53c1c496643ce4a9f66bd5c7b4a2b42691563b080557d334e877fedb0d6

Observation 2ee5b6b2-ade0-4728-999e-2cf831c044fd · outbound

This paper cites Full duplex radio/radar technology: The enabler for advanced joint communication and sensing,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Full duplex radio/radar technology: The enabler for advanced joint communication and sensing,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:39.701394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:34.675151Z digest=sha256:9c1e3831c074f6ba7052c43fedc62241a10d74c50616961080db7d5837708240

Observation 35f043ff-d92f-48da-a2d4-729540ee94c3 · outbound

This paper cites Joint power allocation and user association optimization for IRS-assisted mmWave systems,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Joint power allocation and user association optimization for IRS-assisted mmWave systems,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:39.530462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:34.776033Z digest=sha256:b34a263ce1ac8748913d51c3db48087bf766bd24587e095688cbe7d78b94a8d4

Observation ab650825-25ba-4620-9c76-4d2cfd4d9c6a · outbound

This paper cites LTE: the Evolution of Mobile Broadband,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models LTE: the Evolution of Mobile Broadband,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:39.395996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:34.859916Z digest=sha256:d3c207cefe07df1bdd52a5451845be86f6f83a83443482324afa189a2ed3cf5a

Observation 2c49e40f-b1c2-4551-a6a9-339145193a92 · outbound

This paper cites Target detection and localization using MIMO radars and sonars,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Target detection and localization using MIMO radars and sonars,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:34.952734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:34.952734Z digest=sha256:6d5342689fa7bf10fc554aeaa4424cae59b40bae312dfbac85c72f43facc5e94

Observation 3822ee5c-d12b-40f3-9f35-3286fd30eb1b · outbound

This paper cites an unresolved cited work.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:20:39.256586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:35.064551Z digest=sha256:c132957c5d2503a463d4c9ddc3da548c666be56e51d597f50bf5009197108ab8

Observation ce0f5015-7c92-421e-b07a-4eaed6a905d1 · outbound

This paper cites an unresolved cited work.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:20:39.113497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:35.191224Z digest=sha256:76024a64df5439c7302c02888bb25b9641780797f5e461cf1cc20e5c86302bb1

Observation daa5c333-47dc-4765-85ed-42c8fd3b9804 · outbound

This paper cites Language models are few-shot learners,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Language models are few-shot learners,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:38.956571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:35.264058Z digest=sha256:3e01e9d0d7c584c9f1fb3b55c30778cf4e09abd788b600ef7aaf85b71c031380

Observation 87e4f92d-a00f-4fde-9c3f-99470566021e · outbound

This paper cites Chain of thought prompting elicits reasoning in large language models,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Chain of thought prompting elicits reasoning in large language models,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:38.828304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:35.372061Z digest=sha256:3be3ddf44d3db9a6cf8030e26de60b810d91eda78ef889aeee7354f4faef5572

Observation 5bd6a4fd-d9e0-49ac-8ce9-88460b8ab5c9 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Reflexion: Language agents with verbal reinforcement learning,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:38.646161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:35.478971Z digest=sha256:ddc8ac26fe3362f869fcee68bb2821b330871b223b6ed6836522681d6eb52821

Observation d6a60d90-2534-4d76-ab41-751efe5d8c03 · outbound

This paper cites Fractional programming for communication systems–Part I: Power control and beamforming,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Fractional programming for communication systems–Part I: Power control and beamforming,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:38.431577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:35.691311Z digest=sha256:9a014679acd789697dc09191797de50b92b1212e253823914bce9d4bb30e1d2a

Observation 9bbe5138-4a00-4f2f-840e-9fa19d4801a7 · outbound

This paper cites Fractional programming for communication systems–Part II: Uplink scheduling via matching,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Fractional programming for communication systems–Part II: Uplink scheduling via matching,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:38.169929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:35.855040Z digest=sha256:94e8ac2a5f777bf0af4248bfd8873256a148d4f5133f7c72bce9ecefe3cd6f6f

Observation 7992ff69-58d8-479b-9169-f0f19c82690a · outbound

This paper cites STARS enabled integrated sensing and communication,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models STARS enabled integrated sensing and communication,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:44.400780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:35.967464Z digest=sha256:8946205dd6181b103eb41cf624124d4b4bf2728320c955a7b8bad1653759e173

Observation 261af18a-d1bd-46a8-8c9d-be37974c5e17 · outbound

This paper cites On augmented Lagrangian methods with general lower-level constraints,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models On augmented Lagrangian methods with general lower-level constraints,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:37.937858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:36.113167Z digest=sha256:5fe832eea2e83e630642a3aeb84a98e4b7055b09de410fa810b8102de459b568

Observation 3a2623f7-5499-4023-a831-57d1c4bed922 · outbound

This paper cites CVX: Matlab software for disciplined convex programming, version 2.1,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models CVX: Matlab software for disciplined convex programming, version 2.1,

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:36.270794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:36.270794Z digest=sha256:c76743235a120dfe3a3a3664688c59a0d85e6e9c45bae6d369021a11eb35dbff

Observation 240b0c64-3c30-470b-aa2a-ebc7a9fa1d3b · outbound

This paper cites Majorization–minimization al- gorithms in signal processing, communications, and machine learning,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Majorization–minimization al- gorithms in signal processing, communications, and machine learning,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:37.609157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:36.402437Z digest=sha256:5523346e2c1bad12e069e274e0695f5f948b7294204ed274141e29121df491c7

Observation 8151100c-e55c-49c5-a4e4-c212dc455e66 · outbound

This paper cites Machiavelli and the gale-shapley algorithm,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Machiavelli and the gale-shapley algorithm,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:37.321465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:36.563559Z digest=sha256:d6ebc9db6d078b93953482fe916b3ad3d04f26fa7127fe2116b959fcf22c1851

Observation 1f831815-0951-4c26-95e2-8431d3667662 · outbound

This paper cites User association and power control for UA V-enabled cellular networks,.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models User association and power control for UA V-enabled cellular networks,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:20:37.054894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:36.702858Z digest=sha256:db072154554ae7deb9cf16214bc2bbeace0e3c89dd042fc5aecf1f5befb6c519

Observation 0008331e-a06e-4edf-9c7a-1089c9e50e28 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Joint User Association and Beamforming Design for ISAC Networks with Large Language Models Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:35.589274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:35.589274Z digest=sha256:fa78e1cce7d188adbeb98c87b83b5e055aa57144a7713c488c2855f74a239288

Pith citing papers

Observation 56963300-3ecf-41e7-bf7c-e2a805a2f1db · inbound

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks cites this paper.

LLM-Aided Joint Secrecy Precoding and Trajectory for RSMA-Based Heterogeneous UAV Networks Joint User Association and Beamforming Design for ISAC Networks with Large Language Models

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:02:12.757665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:02:12.313057Z digest=sha256:53e5e6a83ef48f6556bcc87f5165407e4fb2180e9448faf948a219d8392c57b7

Observation bf3a1b69-9c03-488a-a3a0-ea8f49461ab3 · inbound

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives cites this paper.

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives Joint User Association and Beamforming Design for ISAC Networks with Large Language Models

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-04T19:34:30.775997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:34:30.775997Z digest=sha256:d2e9743c6485c503e960acab3122d3d42078aebc77919d975cf2e8c55c439253