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Paper Citation Record · LEDGER

Large Language Model Enabled Multi-Task Physical Layer Network

As of 23 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 10 inbound Pith citation observations for arXiv:2412.20772.

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

pith.paper-citation-record.v1
2412.20772 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:20:15.410899Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:24.642962Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T16:01:34.625655Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b78f6019-d4dc-4bcc-9323-f901d8ee91cf · outbound

This paper cites Toward a 6G AI-native air interface,.

Large Language Model Enabled Multi-Task Physical Layer Network Toward a 6G AI-native air interface,

Reference 1

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Observation c0aba6bb-ca7e-4b4e-996f-5b712c11b9dd · outbound

This paper cites An introduction to deep learning for the physical layer,.

Large Language Model Enabled Multi-Task Physical Layer Network An introduction to deep learning for the physical layer,

Reference 2

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Observation b685cc38-38f9-46d2-a192-fca89d230a30 · outbound

This paper cites Deep learning for massive MIMO CSI feedback,.

Large Language Model Enabled Multi-Task Physical Layer Network Deep learning for massive MIMO CSI feedback,

Reference 3

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 794ea964-1524-4361-baee-c094329d9a84 · outbound

This paper cites Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,.

Large Language Model Enabled Multi-Task Physical Layer Network Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,

Reference 4

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Observation 6f59892e-17b5-4bed-8560-1b6d1390a531 · outbound

This paper cites Accurate channel prediction based on transformer: Making mobility negligible,.

Large Language Model Enabled Multi-Task Physical Layer Network Accurate channel prediction based on transformer: Making mobility negligible,

Reference 5

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d49e280f-7fd7-46cb-913e-51513c28abcc · outbound

This paper cites Model-driven deep learning for MIMO detection,.

Large Language Model Enabled Multi-Task Physical Layer Network Model-driven deep learning for MIMO detection,

Reference 6

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b04c855a-292f-4265-9b66-ecd0645225cd · outbound

This paper cites Artificial intelligence for 6G networks: Technology advancement and standardization,.

Large Language Model Enabled Multi-Task Physical Layer Network Artificial intelligence for 6G networks: Technology advancement and standardization,

Reference 7

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Observation c5be941c-7f37-427c-b399-85bd621793b0 · outbound

This paper cites Language models are unsupervised multitask learners,.

Large Language Model Enabled Multi-Task Physical Layer Network Language models are unsupervised multitask learners,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 87f8d64c-2f2f-42be-9050-e0f15059c601 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Large Language Model Enabled Multi-Task Physical Layer Network Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 9

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source=pdf_text observed=2026-08-10T23:20:15.251213Z digest=sha256:aa7543a761272ff3a439ce17976355a68c22e8c590c63785260d5882d1c5a2cc

Observation 0091342d-087c-4a28-a04c-40eb0181ec74 · outbound

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

Large Language Model Enabled Multi-Task Physical Layer Network Language models are few-shot learners,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:20:15.257151Z digest=sha256:a8d3ebfa274c11cd50be5356769515f0f9c736ab85ac0cad45ba9a6a77139319

Observation 2e3ddd60-2b0f-415b-b7a9-65504840149f · outbound

This paper cites LLM-Empowered Resource Allocation in Wireless Communications Systems.

Large Language Model Enabled Multi-Task Physical Layer Network LLM-Empowered Resource Allocation in Wireless Communications Systems

Reference 11

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Observation fba0eb6d-b500-490f-9de0-01e2a2f1c70b · outbound

This paper cites Prompt-Enabled Large AI Models for CSI Feedback.

Large Language Model Enabled Multi-Task Physical Layer Network Prompt-Enabled Large AI Models for CSI Feedback

Reference 12

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Observation b994d3d6-b5a8-4bf6-8928-58cfd4bdd0f1 · outbound

This paper cites LLM4CP: Adapting large language models for channel prediction,.

Large Language Model Enabled Multi-Task Physical Layer Network LLM4CP: Adapting large language models for channel prediction,

Reference 13

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source=pdf_text observed=2026-08-10T23:20:15.276860Z digest=sha256:c5fffa5aa1e0219a08e0d2d1583fad06d3ede139fd7c7bfffa010e0d8bbfb71e

Observation ee43cdc2-3d8d-45d0-8cb4-b17e6fce91ed · outbound

This paper cites Beam Prediction based on Large Language Models.

Large Language Model Enabled Multi-Task Physical Layer Network Beam Prediction based on Large Language Models

Reference 14

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source=pdf_text observed=2026-08-10T23:20:15.282352Z digest=sha256:a34d888e8c553d5a462797bfa8a6b51a8b410160f92de48fcfaf3f11e2d2bb30

Observation 9140838d-b01a-495a-b68b-e616eacae327 · outbound

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

Large Language Model Enabled Multi-Task Physical Layer Network WirelessLLM: Empowering large language models towards wireless intelligence,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3009d2d9-1054-4b83-9a41-b33d861b0063 · outbound

This paper cites Large language model (LLM) for telecom- munications: A comprehensive survey on principles, key techniques, and opportunities,.

Large Language Model Enabled Multi-Task Physical Layer Network Large language model (LLM) for telecom- munications: A comprehensive survey on principles, key techniques, and opportunities,

Reference 16

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7564ec40-0497-4f83-9713-8e82ff17a5ca · outbound

This paper cites AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models.

Large Language Model Enabled Multi-Task Physical Layer Network AI and Deep Learning for Terahertz Ultra-Massive MIMO: From Model-Driven Approaches to Foundation Models

Reference 17

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Observation d6362a9f-7470-4bb7-9038-9f6f05761aea · outbound

This paper cites Large language model enhanced multi-agent systems for 6G communications,.

Large Language Model Enabled Multi-Task Physical Layer Network Large language model enhanced multi-agent systems for 6G communications,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2597d565-18c3-46cc-b216-2572d504175a · outbound

This paper cites Large Generative AI Models for Telecom: The Next Big Thing?.

Large Language Model Enabled Multi-Task Physical Layer Network Large Generative AI Models for Telecom: The Next Big Thing?

Reference 19

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source=pdf_text observed=2026-08-10T23:20:15.310606Z digest=sha256:a24fe824bd5442bf09a747874d5b4cf0032df9dddd790b0a683b42c55063aab0

Observation a88abf3b-a0bc-404b-915c-6524392b752d · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Large Language Model Enabled Multi-Task Physical Layer Network LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

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source=pdf_text observed=2026-08-10T23:20:15.316576Z digest=sha256:e4f98f5f1486e806a7e71c918f01f08401fac55b28b75b0d36723445dcc2c4e3

Observation 741b03ff-afe5-4020-9fd4-7e25ea565df4 · outbound

This paper cites LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models.

Large Language Model Enabled Multi-Task Physical Layer Network LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models

Reference 21

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Observation 2eb7f9e3-e04d-44bc-b5fe-320a1756ded6 · outbound

This paper cites Optimal multiuser trans- mit beamforming: A difficult problem with a simple solution structure,.

Large Language Model Enabled Multi-Task Physical Layer Network Optimal multiuser trans- mit beamforming: A difficult problem with a simple solution structure,

Reference 22

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Observation 308393f2-531f-4ad2-b29e-cd402f9140dc · outbound

This paper cites Effects of channel aging in massive MIMO systems,.

Large Language Model Enabled Multi-Task Physical Layer Network Effects of channel aging in massive MIMO systems,

Reference 23

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:20:15.332089Z digest=sha256:bfe5a122a3a71ed88135a9c7d5dc38c1c4c6b10d59c9f4d43c54f56997d7e0b6

Observation 847351c3-2f5c-49d4-a983-9eef8f873cc2 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Large Language Model Enabled Multi-Task Physical Layer Network A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 24

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Observation e361197f-1761-4fc7-9db5-e67985978169 · outbound

This paper cites Squeeze-and-excitation networks,.

Large Language Model Enabled Multi-Task Physical Layer Network Squeeze-and-excitation networks,

Reference 25

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b79a8a43-7671-4645-8854-465d7710ed5a · outbound

This paper cites Qwen2.5 Technical Report.

Large Language Model Enabled Multi-Task Physical Layer Network Qwen2.5 Technical Report

Reference 26

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source=pdf_text observed=2026-08-10T23:20:15.349376Z digest=sha256:5fc3368a097b9d30190707806c146c8741031be9aa4225ab0202d4431ea2563e

Observation 9c4671fb-1671-4d56-b0c9-fa4592104f6b · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Large Language Model Enabled Multi-Task Physical Layer Network QLoRA: Efficient Finetuning of Quantized LLMs

Reference 27

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Observation d09995d0-5a9b-40e7-a6db-2276ca22ea5f · outbound

This paper cites QuaDRiGa: A 3-D multi-cell channel model with time evolution for enabling virtual field trials,.

Large Language Model Enabled Multi-Task Physical Layer Network QuaDRiGa: A 3-D multi-cell channel model with time evolution for enabling virtual field trials,

Reference 28

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9985203a-ec9e-48ff-a905-f239f01a18b6 · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 GHz(Release 15)[R].

Large Language Model Enabled Multi-Task Physical Layer Network Study on channel model for frequencies from 0.5 to 100 GHz(Release 15)[R]

Reference 29

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 400f9722-596a-4df8-83ea-45060ce51ffc · outbound

This paper cites Neural network-based fading channel pre- diction: A comprehensive overview,.

Large Language Model Enabled Multi-Task Physical Layer Network Neural network-based fading channel pre- diction: A comprehensive overview,

Reference 30

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:20:15.371359Z digest=sha256:e83b4952832f3cc72d90bebedd375dacb3ba909a7fe173284c6c03ab5adf4069

Observation 0d5afab6-0eec-4ef1-b376-8c7143dc8405 · outbound

This paper cites Deep learning for fading channel prediction,.

Large Language Model Enabled Multi-Task Physical Layer Network Deep learning for fading channel prediction,

Reference 31

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ed0c1e13-ad47-4803-856e-188b4dbd796d · outbound

This paper cites LSTM-GRU model-based channel prediction for one-bit massive MIMO system,.

Large Language Model Enabled Multi-Task Physical Layer Network LSTM-GRU model-based channel prediction for one-bit massive MIMO system,

Reference 32

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:20:15.382026Z digest=sha256:45e1dcfeba25184a49bfcb7173c5fdf2b78379295bc4fc06933e96c76ae05f7d

Observation 47493180-b7c5-4541-9337-7e1fbdd9d964 · outbound

This paper cites Performance analysis for massive MIMO downlink with low complexity approximate zero-forcing precoding,.

Large Language Model Enabled Multi-Task Physical Layer Network Performance analysis for massive MIMO downlink with low complexity approximate zero-forcing precoding,

Reference 33

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:20:15.387471Z digest=sha256:c5c125585121ada2763e8eb245df9858a0a498752652de7f12fc4848f3489393

Observation 806fb691-8bcf-46c0-afe9-615ec1a7ed53 · outbound

This paper cites Weighted sum-rate maximization using weighted MMSE for MIMO- BC beamforming design,.

Large Language Model Enabled Multi-Task Physical Layer Network Weighted sum-rate maximization using weighted MMSE for MIMO- BC beamforming design,

Reference 34

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:20:15.393199Z digest=sha256:eac3851e7c4174bd1dfde1fccd89f408cc1b819703bbf45cd5d761bf9586ff05

Observation 33b3e061-2e60-48bb-96f2-5bcae04964c0 · outbound

This paper cites A deep learning framework for optimization of MISO downlink beam- forming,.

Large Language Model Enabled Multi-Task Physical Layer Network A deep learning framework for optimization of MISO downlink beam- forming,

Reference 35

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raw_fallback, observed 2026-08-10T23:20:15.676976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:20:15.398772Z digest=sha256:4f8c20c509e2165a05c59686189d3cd93cc37e32d85d902fb38673309473601c

Observation 755f06c4-1813-4e5c-8f5d-a93e76a5de17 · outbound

This paper cites Power of deep learning for channel estimation and signal detection in OFDM systems,.

Large Language Model Enabled Multi-Task Physical Layer Network Power of deep learning for channel estimation and signal detection in OFDM systems,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.661181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:20:15.405031Z digest=sha256:fbe7a301a898424f1d0083ea3b6c9ab4add6f281355f9c73a707b451f5f16096

Observation 535b3d4d-7e25-4dbf-b565-d71ed3e1d9f8 · outbound

This paper cites Deep MIMO detection,.

Large Language Model Enabled Multi-Task Physical Layer Network Deep MIMO detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.643176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T23:20:15.410899Z digest=sha256:c42ce21ad37f5c392a7c1044656d74aa525f6371511d8f85747d87bf5ce822c7

Pith citing papers

Observation 18561bc1-f8a8-4fcb-a93c-24fa283ddef7 · inbound

Prompt-Enabled Large AI Models for CSI Feedback cites this paper.

Prompt-Enabled Large AI Models for CSI Feedback Large Language Model Enabled Multi-Task Physical Layer Network

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:58.481771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.481771Z digest=sha256:a3da82c0dfd2db2ff64e1ee42e760f3aa0687071fff127ef0b3015a5c5562adc

Observation b2fae212-75bd-4804-9183-45a84475235e · inbound

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges cites this paper.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges Large Language Model Enabled Multi-Task Physical Layer Network

Reference 136

Resolution
unresolved
no resolver link, observed 2026-08-15T23:50:24.642962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:50:24.642962Z digest=sha256:bf71a35f4e7f8bae6663a0b8a2e4378c3a18a780bbf02492d94673234f1e18b9

Observation 6be6907c-e444-40b6-93fa-331bdf67d57e · 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 Large Language Model Enabled Multi-Task Physical Layer Network

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:55.708374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:55.708374Z digest=sha256:c575b153feea88ab8242f872eccb349d2b2c233583fbd8c1dd8ee531f4148313

Observation 62839d28-6288-424c-8798-91cc357ecc84 · inbound

Empowering Near-Field Communications in Low-Altitude Economy with LLM: Fundamentals, Potentials, Solutions, and Future Directions cites this paper.

Empowering Near-Field Communications in Low-Altitude Economy with LLM: Fundamentals, Potentials, Solutions, and Future Directions Large Language Model Enabled Multi-Task Physical Layer Network

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T19:16:58.137660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:16:58.137660Z digest=sha256:47a57a178ff24eb20e9e9d6c8ac5d7b4568969467731fd25cae93b0476d7801c

Observation 7f3680bd-bf1f-49e8-b52b-bc6702aea4c0 · inbound

LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks cites this paper.

LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks Large Language Model Enabled Multi-Task Physical Layer Network

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:33.211716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:33.211716Z digest=sha256:cdde36f631395270370c53236f4e23eeb93f05095b3687e1f3c9119d6f2cf180

Observation 48b5d914-d762-44b4-8e82-988936fb4f52 · inbound

A Wireless Foundation Model for Multi-Task Prediction cites this paper.

A Wireless Foundation Model for Multi-Task Prediction Large Language Model Enabled Multi-Task Physical Layer Network

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:19:40.106045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:19:40.106045Z digest=sha256:3799ae3612493781399fa5fb5edb01539651b756d4ef60192488f1ecc0972175

Observation 44f66169-9691-4cc5-940d-85ad5ba5d3ca · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Large Language Model Enabled Multi-Task Physical Layer Network

Reference 248

Resolution
unresolved
no resolver link, observed 2026-08-05T04:50:32.462707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:32.462707Z digest=sha256:52bf66f6662cc1cc29c5ffb925e21922b2f3fe3648d07a60bc3c1c7ce9ee9131

Observation 3503f802-1fc8-4b00-a31f-e3eeb953fb8f · inbound

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

Modular PE-Structured Learning for Cross-Task Wireless Communications Large Language Model Enabled Multi-Task Physical Layer Network

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T20:27:46.515855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:27:46.515855Z digest=sha256:4f8a18f60b27e89568fd691cf4e966da83ee396f210716b05019d5919b7990eb

Observation 105e8f61-e12c-4c45-b8bc-17a93a5f3de7 · inbound

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization cites this paper.

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization Large Language Model Enabled Multi-Task Physical Layer Network

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T17:14:55.970674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:14:55.970674Z digest=sha256:8a1e9f17b53d114886577381a4b93a8a190ff3a08ef612aed1fe1ac13c099cee

Observation 6d15635f-35db-4bd6-874c-03ab6ba2ef99 · inbound

RadarPLM: Adapting Pre-trained Language Models for Marine Radar Target Detection by Selective Fine-tuning cites this paper.

RadarPLM: Adapting Pre-trained Language Models for Marine Radar Target Detection by Selective Fine-tuning Large Language Model Enabled Multi-Task Physical Layer Network

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:01:34.627995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-18T16:00:10.105362Z digest=sha256:71f44ef1e083c70c09518ce91282635c433e15713d3d367624554e4cfdb48595