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Paper Citation Record · LEDGER

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

As of 10 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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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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T10:20:31.302518Z digest=sha256:99aadb139d44af6698035f681a38291c5986545e38d6a7a00ef3ca6c3fe0824f

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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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

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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

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

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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=sha256:41bc74d829b9482361bbdfafa7de0a1dab2e85879dcc89c81d93b2ed8c5f75d2

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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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.

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

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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=sha256:2dce62e510967bfdf66d8586441084a3d5d9c0158df95b05f319f60e0b712a83

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=sha256:318b32fcae5482a67c666bc6a69c95e0ed12c50ba2a891170aa8e5272acb9e4e

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

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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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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 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

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

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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.

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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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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.

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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:33.566971Z digest=sha256:8bc077033a141de326cd1c24ae33b0ff2b27285a995e10ef5ebea95f2f886ed2

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.

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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:33.731422Z digest=sha256:3b275e3e282d7f79a2b498f098fcb8229073f029e8f937ae1c6d7b28e873f015

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=sha256:13f30ede55a902ea9af4d8b25c7801e4f679373b7c3b646bd84e71ae509fe98b

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=sha256:2ea4c06502de632960f200e8a2f564bae9232e00ad1e0b3ed68c0d63a07f03ae

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:b7e30aab968d3cbfaacd625cd39a72af914f5112c226f6212422e1bb03c63357

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:d25aac5c4dd5fc375b0319f2ac55ebc8e99026fa6f3733cef83e0f1efe58a5d1

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=sha256:6291b7241b6abb66e66ec38585eb708d3b561b781ff43299efe032c43bb5a1d7

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=sha256:80f7b5f9c3ecb0c18c717129141b73f74b841242512eef0ff3635ff9055554d9

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=sha256:30b52d0e98026ebd60fdb91c429086ce6df23ec0a160894593da85ebdf405915

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:aed4d8d03efa7557bd2b993b8e916988a48980bb4321f00d14e608d9f73d747a

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=sha256:330884557a6a2ac32438641d014b841cb0cba16a3ea5361c3247141076c95274

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=sha256:7b5e32779ec3fe87f9ca9e8cd33561739a79c8e6f437fb7dc47a5d94e51cfb21

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=sha256:689ab7a47c1f52f8c8ee9302fc43f4e1d8af290f339a37447754e4221a3eb2df

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=sha256:1c9183a24dfec6dfaaa41c18277892251c0847973aa50cac78a16fef9f1a78ee

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=sha256:113f525c71d5f6160227ae64d4d18b066e1be5f26d7efc1e9438970b3435f132

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:a1c9fd279f41c217036a17ea91fad0dc654255c915770ae58a30c11140d9422a

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:b947dde2c44eec2f7e93fdb89b63ab589f2dfe751b4861b692c9693e206d143e

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=sha256:8003d5870f2954ea4e60097964010b082618d3b8a5e463a1d3a3ebaa136d6cde

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=sha256:09b092fa95502f8631ffb6fb2fddab440887a9788c8c2bdd02a86a1f0f2a8f1b

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=sha256:3279940b037ace80d7ff05b3bd9c8b5134520c064bb0a2e50dc8e0229da6f4c2

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:d25fefc11d99297270810e3be0004f703be69964b059e640f3a06c3a7a80b69e

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=sha256:00a2bbc64f6558645894845a9dbd0c18db3a8c07d644ed8b9ba14029eb66b2da

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:e168d037cf0ddfe8db5c3696e5ab8876bd2a823a7ea65282775e7cb0a8f4ffd6

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=sha256:087b504e97abff2cb9e43b67dd9fa0e97a9905c9d0a517112cec9072fcfdd806

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

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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=sha256:343b1aa5f5526add032aeacf98740e616e795045744e3d71a206550fec8dfd89

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:a752f5e5d9859ebb1c2f82f1fcc76207859845c519c901c6d8526759e426b5f0

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:c1139679ee9d91aa7729ddd3a77d36394298a2b9263abcad975806bbe3420296

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=sha256:98a712acc94d97243aa8f3731d2eb6bc2d64b9813674c009af01518c25e3fef9

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:ed3f4ed60398fac2711400eb2dd3cda72c2b57f77654ad504e161a5c49f7d1d1

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=sha256:33d98aa6fbf9c49146e72b359da57ab469fc2180ac557350a024667de030c6cc

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=sha256:68c0e3bd390440c7dfbaaa52ec63f8b9e0f858434495ee6ad822e76415c45e8d