Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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
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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

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:30.918193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:44.631425Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:44.621428Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:44.610749Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:44.600695Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:44.589919Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:44.566391Z

Source-reported events for the cited work

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

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

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:31.536487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:44.263018Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:43.982402Z

Source-reported events for the cited work

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:43.783059Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:43.291224Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:42.998277Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:42.775765Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:42.549231Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:42.335844Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:42.094178Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:41.967746Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:41.605940Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:41.291120Z

Source-reported events for the cited work

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

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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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

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

Source-reported events for the cited work

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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

Resolution: verified fuzzy; 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 2026-08-07T06:34:17.273281+00:00.

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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:20:40.917524Z

Source-reported events for the cited work

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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 2026-08-07T06:34:17.273281+00:00.

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

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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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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

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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

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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

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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

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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

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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

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

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

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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

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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

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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

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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

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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

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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

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