Paper Citation Record · LEDGER

A Wireless Foundation Model for Multi-Task Prediction

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 15 inbound Pith citation observations for arXiv:2507.05938.

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

pith.paper-citation-record.v1
2507.05938 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:19:40.883270Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:23:59.422026Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:30:08.591780Z

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy25
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 90ee69ad-b9ae-4931-9fa4-c24b486974b4 · outbound

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

A Wireless Foundation Model for Multi-Task Prediction Toward a 6G AI-native air interface,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc514325-1396-4237-b6b8-dda55b836678 · outbound

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

A Wireless Foundation Model for Multi-Task Prediction Neural network-based fading channel prediction: A comprehensive overview,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:46.118208Z

Source-reported events for the cited work

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

Observation 92f19f10-51ae-44b9-aa94-beea92542f16 · outbound

This paper cites Deep CLSTM for predictive beamforming in integrated sensing and communication-enabled vehicular networks,.

A Wireless Foundation Model for Multi-Task Prediction Deep CLSTM for predictive beamforming in integrated sensing and communication-enabled vehicular networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:45.980780Z

Source-reported events for the cited work

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

Observation 1c898e3f-9ba7-4dd5-85d0-f6991eed4243 · outbound

This paper cites LSTM network: A deep learning approach for short-term traffic fore- cast,.

A Wireless Foundation Model for Multi-Task Prediction LSTM network: A deep learning approach for short-term traffic fore- cast,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:45.814475Z

Source-reported events for the cited work

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

Observation 1fc20bf1-8224-40e8-8d3f-a6b79e2d229d · outbound

This paper cites Addressing the curse of mo- bility in massive mimo with prony-based angular-delay domain channel predictions,.

A Wireless Foundation Model for Multi-Task Prediction Addressing the curse of mo- bility in massive mimo with prony-based angular-delay domain channel predictions,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:45.674487Z

Source-reported events for the cited work

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

Observation 27d04e0e-275a-43f9-90b5-47fa7246818a · outbound

This paper cites Performance analysis of channel extrapolation in FDD massive MIMO systems,.

A Wireless Foundation Model for Multi-Task Prediction Performance analysis of channel extrapolation in FDD massive MIMO systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:45.521553Z

Source-reported events for the cited work

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

Observation 3fe82a77-a740-489e-9d2c-d2c79241177f · outbound

This paper cites Deep learning for fading channel prediction,.

A Wireless Foundation Model for Multi-Task Prediction Deep learning for fading channel prediction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:45.364296Z

Source-reported events for the cited work

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

Observation 370a6ab0-a677-4123-94a1-a6a5a8967f52 · outbound

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

A Wireless Foundation Model for Multi-Task Prediction Accurate channel prediction based on transformer: Making mobility negligible,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:45.063954Z

Source-reported events for the cited work

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

Observation 7172b9b3-7903-4632-beef-6aabda347371 · outbound

This paper cites Cram´er-rao bound optimization for joint radar-communication beamforming,.

A Wireless Foundation Model for Multi-Task Prediction Cram´er-rao bound optimization for joint radar-communication beamforming,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:44.753058Z

Source-reported events for the cited work

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

Observation 40c4f0d3-ab2f-4cf1-ad62-721912f33168 · outbound

This paper cites Radar-assisted predic- tive beamforming for vehicular links: communication served by sensing,.

A Wireless Foundation Model for Multi-Task Prediction Radar-assisted predic- tive beamforming for vehicular links: communication served by sensing,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:44.503031Z

Source-reported events for the cited work

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

Observation b16cb330-0c53-4b84-b2e5-690a5e1c6af2 · outbound

This paper cites Bayesian predictive beamforming for vehicular networks: a low-overhead joint radar-communication approach,.

A Wireless Foundation Model for Multi-Task Prediction Bayesian predictive beamforming for vehicular networks: a low-overhead joint radar-communication approach,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:44.261749Z

Source-reported events for the cited work

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

Observation e51d9eab-ad3f-4f9f-85f3-507f23e9f007 · outbound

This paper cites Spatial–temporal graph neural network traffic prediction based load balancing with reinforcement learning in cellular networks,.

A Wireless Foundation Model for Multi-Task Prediction Spatial–temporal graph neural network traffic prediction based load balancing with reinforcement learning in cellular networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:43.991810Z

Source-reported events for the cited work

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

Observation 86365dc7-7624-4b6d-a5f7-575a792f3942 · outbound

This paper cites A data-driven base station sleeping strategy based on traffic prediction,.

A Wireless Foundation Model for Multi-Task Prediction A data-driven base station sleeping strategy based on traffic prediction,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:43.725904Z

Source-reported events for the cited work

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

Observation 50cf6202-e026-4a84-9c74-aa6caf9cc2e8 · outbound

This paper cites A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and op- timization techniques,.

A Wireless Foundation Model for Multi-Task Prediction A survey of anticipatory mobile networking: Context-based classification, prediction methodologies, and op- timization techniques,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:43.478326Z

Source-reported events for the cited work

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

Observation 0b4506bb-edf0-400c-a7a6-20c7a0f4a6a6 · outbound

This paper cites A survey of time series forecasting from stochastic method to soft computing,.

A Wireless Foundation Model for Multi-Task Prediction A survey of time series forecasting from stochastic method to soft computing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:43.252860Z

Source-reported events for the cited work

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

Observation 08fc9c13-7d8a-405d-8330-776ac0583c53 · outbound

This paper cites A study of deep learn- ing networks on mobile traffic forecasting,.

A Wireless Foundation Model for Multi-Task Prediction A study of deep learn- ing networks on mobile traffic forecasting,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:43.010299Z

Source-reported events for the cited work

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

Observation 1305bc91-8551-441c-a560-78a03b6da8f8 · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

A Wireless Foundation Model for Multi-Task Prediction Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:39.741680Z

Source-reported events for the cited work

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Observation 6f7a3357-bf0c-4c17-a674-5e6bf9468f71 · outbound

This paper cites Attention based spatial-temporal graph convo- lutional networks for traffic flow forecasting,.

A Wireless Foundation Model for Multi-Task Prediction Attention based spatial-temporal graph convo- lutional networks for traffic flow forecasting,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:42.756953Z

Source-reported events for the cited work

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

Observation de40b445-8e77-4db4-bc0f-b289b2b31492 · outbound

This paper cites Language models are unsupervised multitask learners,.

A Wireless Foundation Model for Multi-Task Prediction Language models are unsupervised multitask learners,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:42.505893Z

Source-reported events for the cited work

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

Observation 2f7ac596-475c-4113-9d9f-2d8ceb96c678 · outbound

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

A Wireless Foundation Model for Multi-Task Prediction Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:39.939454Z

Source-reported events for the cited work

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Observation b9a6b817-15b8-429b-8551-4f631943de71 · outbound

This paper cites Beam prediction based on large language models,.

A Wireless Foundation Model for Multi-Task Prediction Beam prediction based on large language models,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:42.282001Z

Source-reported events for the cited work

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

Observation 2597ef07-8cae-45b7-ae14-c8c59f8af31b · outbound

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

A Wireless Foundation Model for Multi-Task Prediction LLM4CP: Adapting large language models for channel prediction,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:40.048012Z

Source-reported events for the cited work

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

This paper cites Large Language Model Enabled Multi-Task Physical Layer Network.

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

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Observation 2bc51b37-fddb-4cbd-89b6-095b8690434b · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

A Wireless Foundation Model for Multi-Task Prediction On the Opportunities and Risks of Foundation Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:40.184088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 978986e9-2df1-4c77-9745-75613f7728d6 · outbound

This paper cites A survey of millimeter wave communications (mmWave) for 5G: opportu- nities and challenges,.

A Wireless Foundation Model for Multi-Task Prediction A survey of millimeter wave communications (mmWave) for 5G: opportu- nities and challenges,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:42.052807Z

Source-reported events for the cited work

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

Observation 00ca6d3c-d612-45e6-ad51-eee728121c43 · outbound

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

A Wireless Foundation Model for Multi-Task Prediction A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:40.334850Z

Source-reported events for the cited work

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Observation 7359209d-853b-4620-aefe-e79b3319bc7f · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

A Wireless Foundation Model for Multi-Task Prediction Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:40.393416Z

Source-reported events for the cited work

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Observation 5571358a-bcaa-432c-ae7a-605022e94058 · outbound

This paper cites Deep residual learning for image recognition,.

A Wireless Foundation Model for Multi-Task Prediction Deep residual learning for image recognition,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:40.470804Z

Source-reported events for the cited work

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Observation 824a0396-7f33-452b-bcd3-bbb8271b9c54 · outbound

This paper cites Attention is all you need,.

A Wireless Foundation Model for Multi-Task Prediction Attention is all you need,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:40.538047Z

Source-reported events for the cited work

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Observation 0e0325d3-a06e-410a-a7a3-eab3bd5074c4 · outbound

This paper cites Are transformers effective for time series forecasting?.

A Wireless Foundation Model for Multi-Task Prediction Are transformers effective for time series forecasting?

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:41.877841Z

Source-reported events for the cited work

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

Observation cbf719ee-bb45-4053-a764-e41947bf197d · outbound

This paper cites A decoder-only foundation model for time-series forecasting,.

A Wireless Foundation Model for Multi-Task Prediction A decoder-only foundation model for time-series forecasting,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:41.730705Z

Source-reported events for the cited work

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

Observation 1d184f41-79d7-42d8-b3a7-4ac6352eec1b · outbound

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

A Wireless Foundation Model for Multi-Task Prediction QuaDRiGa: A 3-D multi-cell channel model with time evo- lution for enabling virtual field trials,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:41.549631Z

Source-reported events for the cited work

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

Observation 37086819-7c55-44f3-9f3a-4206daa6830d · outbound

This paper cites A multi- source dataset of urban life in the city of milan and the province of trentino,.

A Wireless Foundation Model for Multi-Task Prediction A multi- source dataset of urban life in the city of milan and the province of trentino,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:41.416542Z

Source-reported events for the cited work

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

Observation d3c31cce-070c-4e75-9910-bfa9602cb679 · outbound

This paper cites Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network,.

A Wireless Foundation Model for Multi-Task Prediction Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:41.159504Z

Source-reported events for the cited work

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

Observation 5449c3ca-2809-4d6b-9708-8ca6778d6e4b · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

A Wireless Foundation Model for Multi-Task Prediction Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:41.061110Z

Source-reported events for the cited work

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

Pith citing papers

Observation 83661892-245c-4030-abe2-1e4afd1aeafd · inbound

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities cites this paper.

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities A Wireless Foundation Model for Multi-Task Prediction

Reference 59

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Observation 5097d66c-4bef-45c9-8c7b-02c3f4819896 · inbound

EMind: A Foundation Model for Multi-task Electromagnetic Signals Understanding cites this paper.

EMind: A Foundation Model for Multi-task Electromagnetic Signals Understanding A Wireless Foundation Model for Multi-Task Prediction

Reference 6

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Source-reported events for the cited work

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Observation 6796becc-feef-4fde-93dc-e0fe6bfbccb7 · inbound

AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G cites this paper.

AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G A Wireless Foundation Model for Multi-Task Prediction

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.045390Z

Source-reported events for the cited work

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

Observation 9cf1a03e-91be-4c90-906a-4dff46d9a074 · inbound

SiFo: Wireless Foundation Model for Low-Overhead Site-Specific CSI Feedback cites this paper.

SiFo: Wireless Foundation Model for Low-Overhead Site-Specific CSI Feedback A Wireless Foundation Model for Multi-Task Prediction

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-19T21:47:48.404321Z

Source-reported events for the cited work

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

Observation d6e97988-c629-432e-89c5-511ee71d801b · inbound

Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence cites this paper.

Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence A Wireless Foundation Model for Multi-Task Prediction

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T21:07:46.986343Z

Source-reported events for the cited work

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

Observation 5aaf0fc3-80c4-4afe-8ca0-79a5387b2d27 · inbound

PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels cites this paper.

PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels A Wireless Foundation Model for Multi-Task Prediction

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-25T00:06:29.126739Z

Source-reported events for the cited work

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

Observation b18c61aa-9c85-4460-8a3b-b8e7a4178d82 · inbound

Foundation Models for Wireless Communications: From PHY Intelligence to Network Autonomy cites this paper.

Foundation Models for Wireless Communications: From PHY Intelligence to Network Autonomy A Wireless Foundation Model for Multi-Task Prediction

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:47:03.855260Z

Source-reported events for the cited work

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

Observation fe867e0d-7069-4c2e-907d-aa026345c365 · inbound

A Unified Adaptive Feature Composition Framework for Multi-Task Generalization in Wireless Foundation Models cites this paper.

A Unified Adaptive Feature Composition Framework for Multi-Task Generalization in Wireless Foundation Models A Wireless Foundation Model for Multi-Task Prediction

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:27:36.517496Z

Source-reported events for the cited work

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

Observation 45ad5629-090c-4a1f-aa4c-9e0caf8ffb29 · inbound

ConsisFormer: Compute-Efficient Transformer for Wireless Foundation Models Based on Channel Consistency cites this paper.

ConsisFormer: Compute-Efficient Transformer for Wireless Foundation Models Based on Channel Consistency A Wireless Foundation Model for Multi-Task Prediction

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:09:36.485957Z

Source-reported events for the cited work

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

Observation 7848eed3-71c7-45ed-b3d6-c95e9bd2e360 · inbound

CSI-CLIP++: A Scalable Channel Foundation Model for Wireless Communication via CIR-CSI Consistency cites this paper.

CSI-CLIP++: A Scalable Channel Foundation Model for Wireless Communication via CIR-CSI Consistency A Wireless Foundation Model for Multi-Task Prediction

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:30:08.593866Z

Source-reported events for the cited work

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

Observation 20342710-45d1-4cf9-9451-02ad7cf03c11 · inbound

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models cites this paper.

CFM-Bench: A Unified Multi-Domain, Multi-Task Benchmark for Channel Foundation Models A Wireless Foundation Model for Multi-Task Prediction

Reference 20

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Source-reported events for the cited work

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Observation 6de4fb72-7218-4293-a4bc-438a48a943c1 · inbound

Hierarchical Wireless Foundation Model for Multi-Task Optimization cites this paper.

Hierarchical Wireless Foundation Model for Multi-Task Optimization A Wireless Foundation Model for Multi-Task Prediction

Reference 17

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Source-reported events for the cited work

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Observation 7a5df8e8-0496-4831-b997-757aeb1df7ae · inbound

Cross-System Neural Precoder: Exploiting Structural Consistency for Fast Adaptation cites this paper.

Cross-System Neural Precoder: Exploiting Structural Consistency for Fast Adaptation A Wireless Foundation Model for Multi-Task Prediction

Reference 5

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Observation 75be36e8-f1d8-48b8-a76f-5f5c63bc297a · inbound

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective cites this paper.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective A Wireless Foundation Model for Multi-Task Prediction

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T20:23:59.422026Z

Source-reported events for the cited work

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Observation 82324cf9-e916-43b7-b1ab-4895a727df87 · inbound

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation cites this paper.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation A Wireless Foundation Model for Multi-Task Prediction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T05:58:25.149378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.