Pith. sign in

Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:30.918193Z digest=sha256:231e39b214317f973520c6788cec1af1247484840c718264963a831a73aaf9dc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:30.995540Z digest=sha256:790f864e99485abc9e090a78f91487b181a35e7756ee0af1add137c638cbf271

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:31.090456Z digest=sha256:033b7bfc1de4e6e1d0cbd4f422913f4a939a952ac9b134270d7ddc701ec45a69

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:31.182366Z digest=sha256:a8ad2073a9d99969d814efcece5f606e71ed282cc09e13d936d7f90aafd62203

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:31.243689Z digest=sha256:3885b108846982b2fe2a09805b9d90fb530c731c43e93a0cb4c24754d935375f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:31.302518Z digest=sha256:63f06ae729c90cd5cf9fb19d982ae1bdc5102e1db5c16b277bd411b878189fa2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:31.347861Z digest=sha256:4d3901605264933f95a4bab47e15cf6f85e0039b94e89766be030ba8cc7758ba

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:31.394516Z digest=sha256:757755d0f9fcb0410ba80685288bd9e64ab0f28a5db2babf864a98293f5799a2

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.

source=pdf_text observed=2026-08-07T10:20:31.536487Z digest=sha256:7157eda5dba4e777b2b54edd193aef5d918505f557616368e5b9059a0fa867ca

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:31.596845Z digest=sha256:3459d87f72421418fcc02cb36c29ec0f0b81f4b81f56ef7be50934ff935033c4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:31.670792Z digest=sha256:b3a73973d515385e0aeb26cc93bf1e629521a471aefa467e17884f2b5a37214e

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.

source=pdf_text observed=2026-08-07T10:20:31.732949Z digest=sha256:d7b20a3b5ab63d13b96f777276f3c892882287b5279a88aca26ef64677b5b619

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:31.784438Z digest=sha256:513a9ddfd29d0ae6f68d66598eedb44d53e30d44eb21fed911ab482bd4d4c25f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:31.868034Z digest=sha256:7a43222a33706e7dd8ad0577c1ec87e9da0035e36adaa363128a7d0b7d7d1adc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:31.960605Z digest=sha256:80014d0b64712996701138b5a93b6a912d3073d63ba864acc8cfe59283a496a5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:32.019299Z digest=sha256:ea827b8a4a8f28cf820bf6f1b65d379f719fdb0c0ca66682da10e0f4400db526

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:32.096652Z digest=sha256:176a72413340902ba3fa1b91d3d0d543b073e85d86d540ab21ea4abc47f6de2a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:32.174382Z digest=sha256:8cb80f81ad03256f8c8b9b1367c3aa3f4e15b08965cf0d3a841a7480a16149e2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:32.311179Z digest=sha256:2e88a7cfb6d1ff64a21a66f34a96e6a962bfb3bd8357944878b5964057392f71

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:32.411167Z digest=sha256:46e5671b3ba5e8277d640e6cda99ba826b956093b1bc2634c2ef629f27e1742e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:32.523468Z digest=sha256:197c80829f75e85c073858b0a45e89400963965f9257c037b365ea7f053029fd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:32.666179Z digest=sha256:1d69e06c464b0fa6c08e0c7f95119ed858c4d8e14c9972f1fad6868fb66e7c53

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:32.738000Z digest=sha256:ce0086f4bd2a60cfd74fd75c56a9629936c6354543d99224ca42cdd03e7222af

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:32.834780Z digest=sha256:1943ad15bdeacffd18edb0f9fc41ed123b9a318e64404aefe49ba222d271c72c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:32.951438Z digest=sha256:a3f003f143f90d5b0d12123a144b43ad179079f7ad9a8ecdb07dc04d814b9059

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:33.082279Z digest=sha256:9bb54cff424eb72d3d259df30f191819816492ea9c7fe362610fb233fe2a70aa

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:33.254722Z digest=sha256:bd9976e727259b3efc7200e5c1f8bc259e2f768a1c81601c868cd6f4819daec5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:33.361724Z digest=sha256:36de7e58dbdbe148b7e6c934f24e5e841583e015c0357844a187b9d72083df1b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:33.475002Z digest=sha256:211b77c2ce20ef854850904f90be62f5f8586b31054ff1f3dd13c35006e921c0

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:33.566971Z digest=sha256:ae677dfca302ffcd5e55d639a939184c2e0aed5470ea0a9d5f6b9319fe3220e9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:33.648880Z digest=sha256:e49857a02bc6b6c282ec3732f7b066ca4d86f9226bf4af91b5ac25ec0e47461e

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

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:33.731422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:33.731422Z digest=sha256:06a34078b97d588c44ee3f41f75884fde8f38f370fbf6aeeb3874f90970ae59b

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

Resolution
verified fuzzy
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:33.791659Z digest=sha256:5fa043318e96576b3ae7e13fe89b66ec0c744d0b83917db77824306eeec2bb6a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:33.900730Z digest=sha256:65531c202128b7d44ccf31e3d03f98b0806b9d5e7aff62302c9ce3acaaaf8924

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:c60702c1fa2a6d2c0692f0d33b95a0030ee56ff587ffa7d04649d0d110d184de

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:34.084158Z digest=sha256:7322a5e2df80ab1147492a462dd32e7119fb47c133ccc383d98b1c1c98c4b82f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:34.194013Z digest=sha256:60cc46c831b6aa9f0e75e563e3aa4533adb2036f1deb5835b2f57940a13f9bd1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:34.294896Z digest=sha256:00bdd49cfc1b50866bf26ab0832f93f485167aae34c504d3bdac4b34f54d74ef

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:34.410012Z digest=sha256:85052ef28f50164ce8bb9ee37c2b63b8237450962d7a72d4f7eabde53c4a6e27

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:34.510473Z digest=sha256:a67ee80b1f78b8ae292fa3689bfb1bdceb47ba9fde3fac361afb77ab6dd773ac

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:34.583366Z digest=sha256:30b1e6b83d63b925716b5bdd887bd9a2f9d7b6385773140c088c986a4bf46e45

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:34.675151Z digest=sha256:9c0b8dd1d206cea3f4f74b6d45939cdd897da4aa31a6e8bf829d737b26c46766

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:34.776033Z digest=sha256:36d1b2523fa7387d2fa26f4068ca031ca54550f2f3ccfc3a0d73d5503aeb816e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:34.859916Z digest=sha256:4e3bc23b66b05136090a1cc33ebb157e63a5d8aef56090b333d7a5049133d210

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=sha256:41f5155a3fc473361b25eb64255aa36b8cb0d7ad3c31ae2e4cea4826ff8488d1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:35.064551Z digest=sha256:5c5d3e4b4f6ce097cb7322304abcb1387456f56de1d8fc92850c775ea229904a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:35.191224Z digest=sha256:0d1acdc9e0795e242a2df246a7d639758ca6b56d5327f938db516b147a522cf3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:35.264058Z digest=sha256:dbe20593343d57932b23fd306265ff64846fc9245fca38bd8859f6d0b3012b82

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:35.372061Z digest=sha256:0a40303b76a444f66c9cc93c94d63d3167d6b458d5d07a9be49c849fe9cc47e0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:35.478971Z digest=sha256:12d844b0aa566d119fd87e12d48322c2113220d113a3b90b4048365ac9fab671

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:35.691311Z digest=sha256:31fef3918739e0431b62d19f944747278ccf71e766da63f10f4c36d242b77527

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:35.855040Z digest=sha256:f21a8094abaa779467d09112a64c3168e0897a7ebc4f31094d7d6934259f5067

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:35.967464Z digest=sha256:52ffd0032d3ea79672abf10c774732251177b7528bda48cecf89e99269c878d4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:36.113167Z digest=sha256:54a9a8ac14970925ddb5ea9fb279fa7baf9e2fbd77665d51366f98e6f1a9f0bf

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:d538126d590e7648761c2d3e752201db3bb8f2d63c252ea13bfe19abf7840b55

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:36.402437Z digest=sha256:656d28da41babc7282e348dce694c2277cb3e8682d8b16c4368999a9eb24af64

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:36.563559Z digest=sha256:fb6180de580c2d6dd4fecdaf6d157576d653c2f1559ee2c3deab7a0c827ca983

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T10:20:36.702858Z digest=sha256:aea267c43e159b216df061f515367bfba46a2b5fed8022f56ecde309286e8b79

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:d363c75a7574dfd104625d1f842f2d277531b38c0e80747130bdd043f53647a7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T15:02:12.313057Z digest=sha256:c63a1b7717c64177deafedc3a37fa7a471e6dfd6cacd78100e2088104a75a15c

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=sha256:1f3f11599feae51daca159898915251236b3642a84696b51a97270870969f07b