Paper Citation Record · LEDGER

LLM4WM: Adapting LLM for Wireless Multi-Tasking

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 4 inbound Pith citation observations for arXiv:2501.12983.

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

pith.paper-citation-record.v1
2501.12983 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:38:59.341830Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:57:10.494549Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:40:52.681344Z

Reference resolution

43 of 43 outbound references displayed

verified exact2
verified fuzzy33
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ea50f1d-c86c-4622-a92c-f34e72f8cef9 · outbound

This paper cites Massive MIMO for Next Generation Wireless Systems,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Massive MIMO for Next Generation Wireless Systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:39:00.055924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7d13a60-e44f-402a-87d4-eaa56402093e · outbound

This paper cites An Overview of Massive MIMO: Benefits and Challenges,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking An Overview of Massive MIMO: Benefits and Challenges,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:39:00.038319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7cc3ceed-af1d-4a1e-aab1-3e7581c83b65 · outbound

This paper cites Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:39:00.014796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 502ef7e2-67da-435f-bfaf-c8072b23a2cc · outbound

This paper cites Estimating Doubly-Selective Chan- nels for Hybrid mmWave Massive MIMO Systems: A Doubly-Sparse Approach,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Estimating Doubly-Selective Chan- nels for Hybrid mmWave Massive MIMO Systems: A Doubly-Sparse Approach,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.998062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 522c62b7-fd8f-4829-affb-fffd8ed3d784 · outbound

This paper cites Beam Pattern Modulation Embedded Hybrid Transceiver Optimization for Integrated Sensing and Communication.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Beam Pattern Modulation Embedded Hybrid Transceiver Optimization for Integrated Sensing and Communication

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:38:59.496438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6d93b241-ed44-42b4-96c8-de1541cb0665 · outbound

This paper cites Deep Learning-Based Channel Estimation,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Deep Learning-Based Channel Estimation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.986003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4087290-a505-47e8-a561-c73dbfb74754 · outbound

This paper cites High Dimensional Channel Estimation Using Deep Generative Networks,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking High Dimensional Channel Estimation Using Deep Generative Networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.973751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7174e0c-8502-454f-8e36-693635fd7218 · outbound

This paper cites MIMO Channel Estimation Using Score- Based Generative Models,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking MIMO Channel Estimation Using Score- Based Generative Models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.962007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 59cd8bfa-df56-41ad-8bad-8cb9f3177e1d · outbound

This paper cites Intelligent Multi-Modal Sensing-Communication Inte- gration: Synesthesia of Machines,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Intelligent Multi-Modal Sensing-Communication Inte- gration: Synesthesia of Machines,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.949716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce6a5ee7-8b00-44cb-800a-b7685ddb5703 · outbound

This paper cites Integrated Sensing and Communications Towards Proactive Beamforming in mmWave V2I via Multi-Modal Feature Fusion (MMFF),.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Integrated Sensing and Communications Towards Proactive Beamforming in mmWave V2I via Multi-Modal Feature Fusion (MMFF),

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.937721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6e8f2ae-2cf6-4a52-89c6-e1de32f5fac2 · outbound

This paper cites Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular Networks with Double Dynamics.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Synesthesia of Machines (SoM)-Enhanced ISAC Precoding for Vehicular Networks with Double Dynamics

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T16:38:59.473510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 18fb6daf-ef61-4f23-8807-cbea29e286ff · outbound

This paper cites Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.924058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a1a5567-7e2a-4e01-97d5-330b983c1357 · outbound

This paper cites Multi-Task Learning-Based Channel Estimation for RIS Assisted Multi-User Communication Systems,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Multi-Task Learning-Based Channel Estimation for RIS Assisted Multi-User Communication Systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.911211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 80f5d16a-d4cb-4a41-b4ec-d082226f8d8f · outbound

This paper cites Language Models are Few-Shot Learners,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Language Models are Few-Shot Learners,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.899821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 23d306a8-79cc-4f78-bdcc-f98c1c9c68d2 · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Towards Expert-Level Medical Question Answering with Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T16:38:59.214603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0abc4806-02d1-4c6c-9679-65ab1de7f5e3 · outbound

This paper cites SaulLM-7B: A pioneering Large Language Model for Law.

LLM4WM: Adapting LLM for Wireless Multi-Tasking SaulLM-7B: A pioneering Large Language Model for Law

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T16:38:59.219345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13a3e8ef-da92-49a3-9224-603cd5f68610 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

LLM4WM: Adapting LLM for Wireless Multi-Tasking BloombergGPT: A Large Language Model for Finance

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T16:38:59.223802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34fa0a96-48cc-43ac-bc2f-bba7217b87b4 · outbound

This paper cites Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.888598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c8fdcad2-c783-4651-8189-b507f51a4153 · outbound

This paper cites LLM4CP: Adapting Large Language Models for Channel Prediction,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking LLM4CP: Adapting Large Language Models for Channel Prediction,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.874841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2af4a741-92a8-43cd-abbf-a5b1f3638e95 · outbound

This paper cites WiFo: Wireless Foundation Model for Channel Prediction.

LLM4WM: Adapting LLM for Wireless Multi-Tasking WiFo: Wireless Foundation Model for Channel Prediction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T16:38:59.237024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dd28acd-cc41-4237-9d38-8320af151fd6 · outbound

This paper cites When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.861303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5fb5fe9d-54a1-4f7f-b94e-d0e4540d559e · outbound

This paper cites an unresolved cited work.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T16:38:59.246506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59e6b321-9ae8-429d-b9e8-6891577ea778 · outbound

This paper cites Accurate Channel Prediction Based on Transformer: Making Mobility Negligible,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Accurate Channel Prediction Based on Transformer: Making Mobility Negligible,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.839998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ced3f926-134b-465a-9238-231127c8cd02 · outbound

This paper cites Deep UL2DL: Data- Driven Channel Knowledge Transfer From Uplink to Downlink,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Deep UL2DL: Data- Driven Channel Knowledge Transfer From Uplink to Downlink,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.826983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95ad389f-4935-4238-a6ed-0a2ba82e33a9 · outbound

This paper cites Sub-6G Aided Millimeter Wave Hybrid Beamforming: A Two-Stage Deep Learning Framework With Statistical Channel Information,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Sub-6G Aided Millimeter Wave Hybrid Beamforming: A Two-Stage Deep Learning Framework With Statistical Channel Information,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.812629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c3c4c534-048d-42c6-9fff-6f7b1661d765 · outbound

This paper cites Attention Aided CSI Wireless Lo- calization,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Attention Aided CSI Wireless Lo- calization,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.801147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15c246f9-45d3-4482-a835-d5b7a0907cc2 · outbound

This paper cites Environment Features-Based Model for Path Loss Prediction,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Environment Features-Based Model for Path Loss Prediction,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.790078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ecadaad8-92fd-42ab-b278-8d189c27bd1e · outbound

This paper cites VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.779453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e4be2cf4-1367-4bce-ba3b-a85bd6ffb26d · outbound

This paper cites ST-Adapter: Parameter- Efficient Image-to-Video Transfer Learning,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking ST-Adapter: Parameter- Efficient Image-to-Video Transfer Learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.767610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9e2e77ad-1da9-4fa8-8e03-8c78d9481ee8 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

LLM4WM: Adapting LLM for Wireless Multi-Tasking Gaussian Error Linear Units (GELUs)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T16:38:59.286013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efd7cc46-b576-46b6-8507-c1c254970375 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T16:38:59.291381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b2582e-4987-4a09-9293-d2bbe4f544f2 · outbound

This paper cites NetLLM: Adapting Large Language Models for Net- working,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking NetLLM: Adapting Large Language Models for Net- working,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.644394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1cd7ef1b-05f4-48ec-bf28-bc43b9aad2f2 · outbound

This paper cites End-to-End Multi-Task Learning with Attention,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking End-to-End Multi-Task Learning with Attention,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.632202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0019fa2-3903-4209-b73f-93549937a61e · outbound

This paper cites QuaDRiGa: A 3- D Multi-Cell Channel Model With Time Evolution for Enabling Virtual Field Trials,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking QuaDRiGa: A 3- D Multi-Cell Channel Model With Time Evolution for Enabling Virtual Field Trials,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.620090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 19984913-b5b1-4d67-a342-d23dd022c2d9 · outbound

This paper cites Millimeter Wave Beam- Selection Using Out-of-Band Spatial Information,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Millimeter Wave Beam- Selection Using Out-of-Band Spatial Information,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.607048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5d8c9fc-b8ea-4350-bc62-801a9b381a2f · outbound

This paper cites FIFS: Fine-Grained Indoor Fingerprinting System,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking FIFS: Fine-Grained Indoor Fingerprinting System,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.593380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0785d375-c154-4e0f-8ce8-4819d79c7cd3 · outbound

This paper cites Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.581776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4bedb37b-e2d0-495b-a25b-8d99bc894a77 · outbound

This paper cites DNN-based Localization from Channel Estimates: Feature Design and Experimental Results,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking DNN-based Localization from Channel Estimates: Feature Design and Experimental Results,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.569102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 252e4baa-57db-4d17-ab20-526055fcef4a · outbound

This paper cites Deep Learning for Fading Channel Prediction,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Deep Learning for Fading Channel Prediction,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.556909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27bc897d-7107-4cc1-a385-34a79470bb5d · outbound

This paper cites Cross-stitch net- works for multi-task learning,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Cross-stitch net- works for multi-task learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.544578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fb91ed4b-6846-429b-81ff-0349881caa92 · outbound

This paper cites Deep Residual Learning for Image Recognition,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Deep Residual Learning for Image Recognition,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.525472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00f33d86-742e-4667-b070-7e76f7bf14d0 · outbound

This paper cites Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Parameter-Efficient Tuning on Layer Normalization for Pre-trained Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T16:38:59.336862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c99133e5-b04b-4997-8a42-d47ce440646e · outbound

This paper cites Attention Is All You Need,.

LLM4WM: Adapting LLM for Wireless Multi-Tasking Attention Is All You Need,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:38:59.509989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 76e84bd9-6fe1-43a9-90f7-3867044c4f58 · inbound

RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings cites this paper.

RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings LLM4WM: Adapting LLM for Wireless Multi-Tasking

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T10:57:10.494549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 308d000d-39f0-4816-a66b-4208a9ccef42 · inbound

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration cites this paper.

Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration LLM4WM: Adapting LLM for Wireless Multi-Tasking

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:55.705478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77c1844c-5673-43a8-b144-f9e4c2dbcfed · inbound

Modular PE-Structured Learning for Cross-Task Wireless Communications cites this paper.

Modular PE-Structured Learning for Cross-Task Wireless Communications LLM4WM: Adapting LLM for Wireless Multi-Tasking

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T20:27:46.519935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 047b6f49-1755-497a-a34b-bb00212fb173 · inbound

Semantic Communication with an LLM-enabled Knowledge Base cites this paper.

Semantic Communication with an LLM-enabled Knowledge Base LLM4WM: Adapting LLM for Wireless Multi-Tasking

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:40:52.695045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.