Pith. sign in

Paper Citation Record · LEDGER

Large Language Model Enabled Multi-Task Physical Layer Network

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 8 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 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:06:58.481771Z

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.206073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.206073Z digest=sha256:5cc3d3a5a496f14c63d7a37e9c3615af55c12ebcaf4198afa58b6004469ce39f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:16.043724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.211778Z digest=sha256:252700ed3673d6e5431521ab19868df1cbf0592f63ba6664445725e60a24296d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:16.027421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.217472Z digest=sha256:c7aa769715e9c87b11f5d0149d06a5739cf7333f98e2c66619b70d98ece726c6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:16.009960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.222921Z digest=sha256:1e265b74e306df0b9adf0a2fe7aaafd41e1e08b937f75f25acfc4a64ac560352

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.989896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.228210Z digest=sha256:f689eed096136d405b771f5532e52fc9e1147ef415b10841fee59492c1d93338

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.971531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.234652Z digest=sha256:50f0cde4e40353dc9484002bbc5883f2a7e12334feb52b5093b9cb1f9d844b04

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.955193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.240799Z digest=sha256:ccdf387e4c6af904cb8f3b3bfb694fd8925191bc1220fa3af62409264da530f6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.938837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.245668Z digest=sha256:9e2dec1df9856559f5d1fac89867632725bcbd76adcef9eb55a92a98ae93dc5d

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.251213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.251213Z digest=sha256:c0420b203b52531a441bac3fc2d982cf9b6ec2824681311b9eabf6d39a92944e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.922216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.257151Z digest=sha256:bcd5bd2e6d471ce57b878efb826c0dc12f725925b3499b6967a4679da3bc6377

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.262952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.262952Z digest=sha256:16d18f9e9d259049f34c245924e07d8d515f3c4f54daa7d7b7df0ecf8e2534b1

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.270697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.270697Z digest=sha256:6ab7a25798da8e55e7cbdc421b5b42f167070f277204ad36465ff43666a5f65e

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.276860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.276860Z digest=sha256:f28282625d394e80b9543c0e6d1d73fc9bb0b846c9402fc250ab9205147e40d7

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.282352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.282352Z digest=sha256:1461d4ccad33d0b5e7f3e104111873251c6ebb6c24618e15bc7768f9edb3d18d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.891906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.288291Z digest=sha256:41c3b6c0eeb7679393e97e838bd0ce8c16e12d51d37bddbca8b7334738d95f9b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.874697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.293751Z digest=sha256:580be1585f1410f8ba8c0e48e78c140b3034557632ff740cb0dbae5bf69b8dc4

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.299676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.299676Z digest=sha256:7631769070e521545b38a6aef371b8e27798f59fc1a50f49a67e573894d85d01

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.859706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.305485Z digest=sha256:9de391836bca020c010fdcbd1f480abf9ad8caa1157d006b41773c6034b4dc31

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.310606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.310606Z digest=sha256:4a2fe99ea5fa433c72860358880d963d435af256877b79cb77f2d47424fcbe5b

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.316576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.316576Z digest=sha256:a8ade489a9953ad7e312a53228ae3bbadbef9fdeda099601e4c5fdf5bc769311

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.321577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.321577Z digest=sha256:d3a5d1e082b056ca53072e8ea7bc5ed061c38561d5e4ce9fb178ec5e59d65116

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.843381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.326909Z digest=sha256:3fe9e695618dc9e15412770f65ee3887bf587e624ce707ff0c549038dcfef6e6

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.827291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.332089Z digest=sha256:50fdfe1c29e97a87808d3c7fc34f69b29326f8521d2ed9231408c70b6fdfa4df

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.337477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.337477Z digest=sha256:82fe3318d03c2bce9435b1f45f6399594ba75c15758668eb1668f29c33add6c5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.811430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.344015Z digest=sha256:e3e2f02b34dce6cd2f0b2ba14f5ab5f387cd075d603140f28bcfbabad3736298

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.349376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.349376Z digest=sha256:b0ec39ec6be00e8894aeb2cf0884a0be1306b0c648f285f760fbc0ba35acc0e9

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:20:15.355039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:20:15.355039Z digest=sha256:f3aad6413873f139e5f02bb06a20e93e880ce5f2eedf160e2d07143f3094064d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.795654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.360896Z digest=sha256:88e4b202e11f957a2869cfeecdd3f9725b914fce04012b7bb1532f8b8f9658fa

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.779345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.366041Z digest=sha256:2246aff73278552c30e791981c906028ae5ac939a66bfc18d179e9169c488a42

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.762739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.371359Z digest=sha256:b03376ab49f677866732b0713acb041568e5dafb665bf9abd488f2a32bf09ba4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.746470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.376537Z digest=sha256:4026edc02160ec370da7f68013be1832991cd048864572e11543785141abdec8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.730455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.382026Z digest=sha256:3fa1ddc7bab61daa55ba5715c28322bad9538e243c4ad76bb207091a2098033c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.710899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.387471Z digest=sha256:43fdabb9eef619a3cb7b01dbce873a39f03edb78cad0f10aa81c1c0c4a8eb58c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:20:15.693288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.393199Z digest=sha256:29163d75e57d231e07baf3091a3ecb0ea112b5541365310a1654fde9cda43b62

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

Resolution
verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.398772Z digest=sha256:f8da496adae6d8a352ae7b724f2ed56e694a57bd648d6ec6adb47ab97b5c7bbb

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.405031Z digest=sha256:1e270e560d5647e17f74d729873766d67614ca0173b36d5d4df0d0a8accf24c1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T23:20:15.410899Z digest=sha256:cc59dd17a10000bb9c924d4a5b412d8f0da9aed38b83f18f8d306d555a3ce623

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:bff6493c2c573c28d233cb111a1c3aa2e89f8d50d3d7b26d4b6ab9db73eefe70

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:d7810dfc763faf4f4586ca9ea17652d78bd424275602bb8eaccb401a0d544e49

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=sha256:9d6cd3f90d4b411847e8e81394b1a16a35c13a40e3feca2bc1f6ccb4a77e72be

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:f53b0184fe66c5c78feac08a491c7db00b1eb4f010138e6473f7b6e11e95ad77

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:da731c7aeaec0e3f1390e9bec82f35fc6eade797adcaa97446fdea8b6e1e4360

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:cd1b87d83cea512714f655a13f2d94aac43f3b5cfc852e8d77825193fbaa7c57

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:b39508fdde2459ae32e363688b10e1481dbd92893a115b9547d620744e43eae2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T16:00:10.105362Z digest=sha256:cfd769158afa86252f7be95dd010495d7fa7aa8ba0d82b5b15d75ad3c86e6266