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Paper Citation Record · LEDGER

Large Wireless Model (LWM): A Foundation Model for Wireless Channels

As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 39 inbound Pith citation observations for arXiv:2411.08872.

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

pith.paper-citation-record.v1
2411.08872 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:18:14.608855Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:20:15.106297Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:09:36.480623Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aeb7d630-e4fa-40fa-8466-d4ff163f0d6c · outbound

This paper cites LWM: A Pre-trained Wireless Foundation Model for Universal Feature Extraction,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels LWM: A Pre-trained Wireless Foundation Model for Universal Feature Extraction,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.478302Z digest=sha256:4e18d3e5f2625bc577557c33dd4838f3536f17a3ccb56439da2c00eda688dece

Observation 5f769013-67d1-445b-a670-570151d4c9a7 · outbound

This paper cites Attention is all you need,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Attention is all you need,

Reference 2

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source=pdf_text observed=2026-08-12T21:18:14.483904Z digest=sha256:18afa94c9f38f49ffb954b727add6113c1e91525a3440ebc330ab611cf371e62

Observation 9290bce5-5bcf-4178-9e17-0de94df33535 · outbound

This paper cites Wireless communications and applications above 100 GHz: Opportunities and challenges for 6G and beyond,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Wireless communications and applications above 100 GHz: Opportunities and challenges for 6G and beyond,

Reference 3

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.488184Z digest=sha256:49983a8e9d7d40c3a3ab29a0254e1664d2d413cca17326676ca8692e1c57def7

Observation eeb97cb0-f305-403e-a6dd-3c58d5f23cd2 · outbound

This paper cites The road towards 6G: A comprehensive survey,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels The road towards 6G: A comprehensive survey,

Reference 4

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source=pdf_text observed=2026-08-12T21:18:14.493278Z digest=sha256:717618d22d895ca3cfb324844b3c0c50957da33e64dce06350524797328e4cc8

Observation bb4d337a-4107-4012-9444-21266c930e00 · outbound

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

Large Wireless Model (LWM): A Foundation Model for Wireless Channels An introduction to deep learning for the physical layer,

Reference 5

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source=pdf_text observed=2026-08-12T21:18:14.499042Z digest=sha256:457683c40fadc014f92105639cbcb1e2b4b53051403acb8612823cee9b3f72a9

Observation 74ae9a2c-a5af-4f59-8456-3989850976cd · outbound

This paper cites Role of deep learning in wireless communications,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Role of deep learning in wireless communications,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.503090Z digest=sha256:b4aa2117bd5ae0831772197115771fe996874f905eef4d21c59ec044db528893

Observation 9fb7fa22-178f-481d-bb83-f736c1eec8f4 · outbound

This paper cites Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Deep learning for mmWave beam and blockage prediction using sub-6 GHz channels,

Reference 7

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source=pdf_text observed=2026-08-12T21:18:14.508217Z digest=sha256:c6a9a3a48f9034fa9fb816e189bf8c0b60aad30a5177adac2eac16c6e826f76e

Observation 3d45c547-cd68-4f03-ab13-fd7e9d26b57f · outbound

This paper cites Deep learning for TDD and FDD massive MIMO: Mapping channels in space and frequency,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Deep learning for TDD and FDD massive MIMO: Mapping channels in space and frequency,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.512452Z digest=sha256:be4e9f04dd3d8ae47557b4967bd3000a2fd0cca540a69753e61f5ea6a52d58e2

Observation 6b5f7e44-1775-411e-8656-da3015783914 · outbound

This paper cites Redefining wireless com- munication for 6G: Signal processing meets deep learning with deep unfolding,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Redefining wireless com- munication for 6G: Signal processing meets deep learning with deep unfolding,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.518378Z digest=sha256:b771c7825ff0f65cc199b3c75190b0193d506ea0d3ac64a97e8c876758540ec1

Observation b2e0e634-57d7-47e8-b8be-c9261e325166 · outbound

This paper cites Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification

Reference 10

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local_arxiv, observed 2026-08-12T21:18:14.689171Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.522663Z digest=sha256:f5009ca0fe0def0932c634e2834d91f1b7942025369211953f604751de2415fb

Observation f12fba26-7c5b-474e-b842-5704e115890f · outbound

This paper cites Long-term recurrent convolutional networks for visual recognition and description,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Long-term recurrent convolutional networks for visual recognition and description,

Reference 11

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.527879Z digest=sha256:7ce390ff00fb638838afc5573e2edf24126797c0ce14867212226b900c964a1d

Observation 50b76bd2-7626-4d07-bf25-3f511d2ecac9 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Neural Machine Translation by Jointly Learning to Align and Translate

Reference 12

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source=pdf_text observed=2026-08-12T21:18:14.532852Z digest=sha256:877096870612d9a919267ec6a1c5ecad0a4f40f9aa2b95847f54339160b0d6db

Observation d2d715b8-2d1b-40b0-b2e4-d344b80a747f · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels BERT: Pre-training of deep bidirectional transformers for language understanding,

Reference 13

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source=pdf_text observed=2026-08-12T21:18:14.537574Z digest=sha256:21c3418a0bcab30be86f6477ec8c0b5929348e9016d45bb7c9d095a9e3702976

Observation da8b5c9d-d08c-49fc-9711-71c4ac456e29 · outbound

This paper cites Mistral 7B.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Mistral 7B

Reference 14

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source=pdf_text observed=2026-08-12T21:18:14.541930Z digest=sha256:d94efd3236c4d805c59ddaf8ddc8c7c6b405f9b9e1e5202bc1427ffad3ecab77

Observation b3cdf654-a01d-4142-b04e-63a61bceeadc · outbound

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

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

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source=pdf_text observed=2026-08-12T21:18:14.546323Z digest=sha256:9e6738821e5b57d42f4ab9444469a8a922760156fd8607250722c3cbd6d8f94f

Observation 5dee2fd4-8ff0-4963-8385-277f4d7c39bf · outbound

This paper cites GPT-4 Technical Report.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels GPT-4 Technical Report

Reference 16

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source=pdf_text observed=2026-08-12T21:18:14.551665Z digest=sha256:473960b7070e6f7bdf00951348fc63f135d2e4baeff70f0751e02dc9f4c7724d

Observation 3f86ca30-debf-46bd-9e60-34c815ac7fc9 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 17

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source=pdf_text observed=2026-08-12T21:18:14.557220Z digest=sha256:6f44e3c6ea5cd793ebcae34282e33f4a814103c7ac687a4f85555b9454d6665d

Observation 4c264f16-a53a-4a0b-a468-75c9d73e0e4f · outbound

This paper cites Robust speech recognition via large-scale weak super- vision,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Robust speech recognition via large-scale weak super- vision,

Reference 18

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source=pdf_text observed=2026-08-12T21:18:14.561891Z digest=sha256:61ce7a717efce39144607cf9378469f20484bd36337a8c73e93916c6bae34c5a

Observation fed63612-20e9-4a84-92a9-81707712dd05 · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 19

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source=pdf_text observed=2026-08-12T21:18:14.566756Z digest=sha256:d1a9c1af6bbc76333ea7c7f56bb467b6c2eb5b16406a9e39aafe9c9352344432

Observation 0a9b4107-a121-4015-88b6-66af5e0239bf · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 20

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source=pdf_text observed=2026-08-12T21:18:14.570739Z digest=sha256:955a009835fedb923d46bb3b662a535ac84678985bc40fcf211172564140bb66

Observation 152d6cf6-bda0-4b5c-9219-78f8a6960900 · outbound

This paper cites Transformers in vision: A survey,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Transformers in vision: A survey,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.575285Z digest=sha256:f9bddb581d27dc769e092d934869e21a0dfb2f822e4e6d848390c040a4162a2f

Observation 44859ee5-01cf-4cf6-a2b6-c494778de54e · outbound

This paper cites A survey on vision transformer,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels A survey on vision transformer,

Reference 22

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source=pdf_text observed=2026-08-12T21:18:14.579619Z digest=sha256:dec42734e1741cdb186dcd54c0d2c8a512468642ac0e7499c12ede1ddf701f54

Observation 8ee1e79a-cebc-40db-a9ee-c4ee51c905a6 · outbound

This paper cites Long short-term memory,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Long short-term memory,

Reference 23

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.583599Z digest=sha256:5f719c9f762338e2a92311e0eec5ad77261317af87c9132115723317485e2e8b

Observation edd488a2-52a3-4a4c-95ce-faff0da5cb92 · outbound

This paper cites Deep residual learning for image recognition,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Deep residual learning for image recognition,

Reference 24

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source=pdf_text observed=2026-08-12T21:18:14.588165Z digest=sha256:22d63702c4167a31463c17607f2dd4893b1737cbe3c36ce8bb1a0b394c95d849

Observation 732f3d18-87f0-41d2-b25f-6e034145d70f · outbound

This paper cites CrossViT: Cross-attention multi- scale vision transformer for image classification,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels CrossViT: Cross-attention multi- scale vision transformer for image classification,

Reference 25

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.592288Z digest=sha256:bbb05908738b7476d17429ffd054a5c5d37b210532f3281b58a5f12d347ffb33

Observation 9e54891f-6428-4f58-a58d-c1c30bc9f61e · outbound

This paper cites [CLS] token is all you need for zero-shot semantic segmentation,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels [CLS] token is all you need for zero-shot semantic segmentation,

Reference 26

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.596339Z digest=sha256:7f94be6a1bbe44db3d76879c7c89c75797cb9bae4430902f9ed7395dcbf3b704

Observation 1f4bb368-3eca-4c99-b340-a1cf432422c1 · outbound

This paper cites DeepMIMO: A generic deep learning dataset for mil- limeter wave and massive MIMO applications,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels DeepMIMO: A generic deep learning dataset for mil- limeter wave and massive MIMO applications,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.599778Z digest=sha256:d02bc25685bfd87b9d83c12c1bcac9a2d669af41faa8009fdd6bd55050901cac

Observation b7870d78-df61-41f4-b1c7-51c734029926 · outbound

This paper cites What do you learn from context? probing for sentence structure in contextualized word representations,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels What do you learn from context? probing for sentence structure in contextualized word representations,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:18:14.604009Z digest=sha256:0495192b48617ec90c24c0094f4467b682b91a466ead941091a68af42b4ddb7f

Observation c596a08f-d60c-495d-80fa-c65a8e478196 · outbound

This paper cites Convolutional neural net- work based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis,.

Large Wireless Model (LWM): A Foundation Model for Wireless Channels Convolutional neural net- work based multiple-rate compressive sensing for massive MIMO CSI feedback: Design, simulation, and analysis,

Reference 29

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source=pdf_text observed=2026-08-12T21:18:14.608855Z digest=sha256:793d9429dd22ac5fb6c336833251ad7236c820626e2b94e1aff1d16fb47d6897

Pith citing papers

Observation 402797e5-f3ec-4c3c-a2a0-0e79b1c96bc2 · inbound

A Dataset Similarity Evaluation Framework for Wireless Communications and Sensing cites this paper.

A Dataset Similarity Evaluation Framework for Wireless Communications and Sensing Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 7

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source=pdf_text observed=2026-08-11T20:38:57.660660Z digest=sha256:4fd3f44baa2e8296d04a3a0934f4ab19909ff5e60ed1e64f0bf652b4bc5b63fd

Observation de92bcc0-eae1-4bdc-9f12-6f8066b96a9b · inbound

Digital Twin Assisted Beamforming Design for Integrated Sensing and Communication Systems cites this paper.

Digital Twin Assisted Beamforming Design for Integrated Sensing and Communication Systems Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 11

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source=pdf_text observed=2026-08-11T19:07:57.981349Z digest=sha256:ae918fd5ccb3b245b3bda8d96f260aa415cd68fd52aa1792dd45b66e38199c91

Observation 30d3c559-d278-4f86-9f51-22ad517f4de2 · inbound

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

WiFo: Wireless Foundation Model for Channel Prediction Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 15

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source=arxiv_source observed=2026-08-11T17:31:41.251147Z digest=sha256:07632d6984dbca5ec0ea0fd1da4ab2f0d04b5f7fdc2848d7e008ee08b8d6db69

Observation 70a3c28c-0ae7-49a8-9ff9-09e95b7e57df · inbound

BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction cites this paper.

BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 25

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source=pdf_text observed=2026-08-10T22:24:43.996610Z digest=sha256:6fd63886c150a36ff76c55dd5f874e4ef23d9f986edeac74a290fbfc87b6d904

Observation 0b4046ac-2dde-4fb3-ad68-1e4562a1c279 · inbound

Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework cites this paper.

Empowering Large Language Models in Wireless Communication: A Novel Dataset and Fine-Tuning Framework Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 6

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source=pdf_text observed=2026-08-10T19:57:25.438476Z digest=sha256:3f162b202b661fe03053c951b51359fee9b54e40e5dda18b988af79d08082fbd

Observation e27e507a-df17-4726-bf75-8114b9a2346c · inbound

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

Prompt-Enabled Large AI Models for CSI Feedback Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 49

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source=pdf_text observed=2026-08-10T19:06:58.601303Z digest=sha256:6d8567f2e67f38e9bc0e972923b0d7dacddc95ab4a05aeda32c59652878aa98e

Observation 6f52fa0e-72c7-4d2b-a589-98707a1f93ef · inbound

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication cites this paper.

WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:56:46.984260Z digest=sha256:db4a52c13ceafa09df5d576d7be3d1ac6a23b24b102ee8abbc06e59f450dc9da

Observation 95dd5221-9a3d-41bf-ada0-169d3d813195 · inbound

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks cites this paper.

Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 29

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no resolver link, observed 2026-08-15T21:20:15.106297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:20:15.106297Z digest=sha256:5e2e065e1387660c70eea39c411c4afbba45e0f4196d41a2fe09a284d98dbb58

Observation a0deadac-09a8-4854-87ff-9f5aa3b11d17 · inbound

CSI2Vec: Towards a Universal CSI Feature Representation for Positioning and Channel Charting cites this paper.

CSI2Vec: Towards a Universal CSI Feature Representation for Positioning and Channel Charting Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 21

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no resolver link, observed 2026-08-07T10:30:26.986534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:30:26.986534Z digest=sha256:c793a30af078f1471282b923bfc28ae14e76489d283b3698be174347f740ad01

Observation a30e07ae-0a10-440e-aad5-27403af55d30 · 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 Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 103

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no resolver link, observed 2026-08-07T05:33:55.805872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:55.805872Z digest=sha256:6fb12a5dfc9f56c250c51917f8844a098874b741a688097edc2e0bfadb29ac62

Observation 07105355-dade-4608-b6e8-8b5c2f14b5b5 · inbound

Foundation Model-Aided Deep Reinforcement Learning for RIS-Assisted Wireless Communication cites this paper.

Foundation Model-Aided Deep Reinforcement Learning for RIS-Assisted Wireless Communication Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 9

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no resolver link, observed 2026-08-07T04:45:46.032404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:45:46.032404Z digest=sha256:f264d4571da235dd0be1b41545ad81eb814b46e70b85a8faa70f92370542744a

Observation a856e9a2-a340-4a2d-b6bc-137c9e3cda8c · 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 Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 16

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unresolved
no resolver link, observed 2026-08-06T19:37:33.196544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:33.196544Z digest=sha256:3a28a197b6c4cd8554f5e17d5d71e2016e1a8dc50e70dc62c535b6f41186f765

Observation 03fedd6a-bec7-4490-a875-5721459cda3d · inbound

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

Towards channel foundation models (CFMs): Motivations, methodologies and opportunities Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 44

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unresolved
no resolver link, observed 2026-08-06T16:24:45.666716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:45.666716Z digest=sha256:706ff0e338ca824098ba7fb961248b535cb4dd87094d0cda83e8b3271c2b0dfc

Observation 016aaebc-7c09-499b-a8f6-7b1c6678013c · inbound

WiFo-CF: Wireless Foundation Model for CSI Feedback cites this paper.

WiFo-CF: Wireless Foundation Model for CSI Feedback Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 27

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unresolved
no resolver link, observed 2026-08-06T00:56:04.429738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:56:04.429738Z digest=sha256:a973b00f563e995858d2ed98274d1cc2cf3658ba4fbfb0a56ffc951850a569ba

Observation 8150431e-8e49-4d62-9db8-7e27af8db26b · inbound

Agentic Link Construction for Environment and Intent Aware 6G Communication cites this paper.

Agentic Link Construction for Environment and Intent Aware 6G Communication Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 13

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verified exact
arxiv_id, observed 2026-05-18T00:45:33.128852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-18T00:43:22.126153Z digest=sha256:ef87f20c917d01dbd0fde6cf667b60c5b11feb60b1953d05b24270b1c691daf1

Observation 61755a63-5e96-4acf-96fb-762ad54d2092 · inbound

WiFo-2: a generalist foundation model unifies heterogeneous wireless system design cites this paper.

WiFo-2: a generalist foundation model unifies heterogeneous wireless system design Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 16

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metadata mismatch
arxiv_id, observed 2026-05-17T05:19:04.920081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-17T05:17:01.867481Z digest=sha256:4a637d1c8eb7c41500b2a5c3fcfdfcf86995d4f0a60e9e0c3d24147356016ea3

Observation 70b4c792-66ee-4f91-b985-f76f97de9fd8 · inbound

WiFo-2: a generalist foundation model unifies heterogeneous wireless system design cites this paper.

WiFo-2: a generalist foundation model unifies heterogeneous wireless system design Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 16

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unresolved
no resolver link, observed 2026-08-03T19:53:39.449884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:53:39.449884Z digest=sha256:deab1f2e8e0efee27160ee2e2ee09b88fa6997cc79e89a8d0f440276bc5895f2

Observation 8c8682b0-a2f5-42dd-9277-9e71ff408b25 · inbound

Topological sum rule for geometric phases of quantum gates cites this paper.

Topological sum rule for geometric phases of quantum gates Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 15

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unresolved
no resolver link, observed 2026-07-13T15:33:59.448352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T15:33:59.448352Z digest=sha256:d5bf0877eb2aa7e55d6935788f7a1370dcb0ea72a53783b70613c8bbe2bf1478

Observation 517c4063-4f8f-411a-aaa7-0c33a38477ca · inbound

A Graph Foundation Model for Wireless Resource Allocation cites this paper.

A Graph Foundation Model for Wireless Resource Allocation Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 19

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verified exact
arxiv_id, observed 2026-05-11T00:35:52.865742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T18:25:14.643349Z digest=sha256:9442f650e62481d90c82f1572e4946eb26c3e597139cd48abcf6ec213073b3c3

Observation c81e3a07-7854-460d-8e5b-ab2d9439f63f · inbound

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) cites this paper.

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM) Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 16

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verified exact
arxiv_id, observed 2026-05-11T12:11:06.883874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T04:04:50.254833Z digest=sha256:69725c732afa708007c23583f55adfb809619303c94586c42351f99c6e6905b5

Observation 30fcddb2-0d0c-42f5-873a-6baf2c010260 · inbound

Enwar 3.0: An Agentic Multi-Modal LLM Orchestrator for Situation-Aware Beamforming, Blockage Prediction, and Handover Management cites this paper.

Enwar 3.0: An Agentic Multi-Modal LLM Orchestrator for Situation-Aware Beamforming, Blockage Prediction, and Handover Management Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 33

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verified exact
arxiv_id, observed 2026-05-12T10:46:32.457382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T01:56:01.451833Z digest=sha256:796fdcd2f059909ce6638fa3014a76665cc356364c7a8683e0eb9bfd9a5bb59e

Observation d703fb14-cc58-45c8-9384-a72d63f945ea · inbound

RFPrompt: Prompt-Based Expert Adaptation of the Large Wireless Model for Modulation Classification cites this paper.

RFPrompt: Prompt-Based Expert Adaptation of the Large Wireless Model for Modulation Classification Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 7

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verified exact
arxiv_id, observed 2026-05-12T10:41:31.819398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-07T17:46:10.345389Z digest=sha256:e225526e6bd7e3a59900cdf859cf2df34f075d004dfa358656c7d81b4e561c8c

Observation 7ad0f4e5-4c11-4e25-9cbc-bee49eefa5ef · inbound

How Big Should a Wireless Foundation Model Be? cites this paper.

How Big Should a Wireless Foundation Model Be? Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 3

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verified exact
arxiv_id, observed 2026-05-11T01:40:52.050009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-11T01:37:07.669845Z digest=sha256:ac6c5e800d1d9e590dd082f70432ca59e629fb90e40773b95fa9bf98a50aca18

Observation af5f8771-990c-473a-89c6-10b06f71b3ee · 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 Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 4

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verified exact
arxiv_id, observed 2026-05-19T21:47:48.401380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-19T21:46:30.856292Z digest=sha256:d9dd3f7ca2117709c53d0439a68ba8022ed069762826c9705c328c1ba430a6c0

Observation 1a2191ea-e716-4756-9e64-433a2f87ba25 · 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 Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 40

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metadata mismatch
arxiv_id, observed 2026-05-19T21:07:46.964262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-19T21:07:40.256977Z digest=sha256:7a2520977a95123447b4b59df58d7c5c2934d44c27797058da37757e4977a21d

Observation 91905f54-1853-4760-b4d1-8a8f222b59e3 · inbound

SPA-MAE: A Physics-Guided CSI Foundation Model for Wireless Physical Layer cites this paper.

SPA-MAE: A Physics-Guided CSI Foundation Model for Wireless Physical Layer Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 11

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verified exact
arxiv_id, observed 2026-05-20T02:07:58.896360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T02:05:34.605908Z digest=sha256:754df3b8155b00705a306e21871b92cb8bd8c96f9071a643bb77df41f87bab2d

Observation aff5c2b3-4304-4e6d-9960-c17130a08133 · inbound

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability cites this paper.

LWM-CDE: A Representation Space for Wireless Data Reasoning and Transferability Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 16

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verified exact
arxiv_id, observed 2026-06-30T15:04:46.266907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T15:01:13.600621Z digest=sha256:c2b09c2fc72ea62f12c444c51618c2a8fe35c6adeb721a83c9dce20d65e35ddb

Observation 945ca1d6-01ab-49b1-9573-286c4c935a23 · inbound

WiSER: A Wireless Scene Encoder for Geometry-Grounded Multi-View Wireless Prediction cites this paper.

WiSER: A Wireless Scene Encoder for Geometry-Grounded Multi-View Wireless Prediction Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 14

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verified exact
arxiv_id, observed 2026-07-02T10:16:52.322607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T05:09:07.754702Z digest=sha256:6ccecf16cb9c12998017eaac9d9baa42b3380b6d330e9430d2fd9a3965a1ed2e

Observation 9de17c9f-e53c-4ca6-ac50-828caa769bba · 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 Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 50

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verified exact
arxiv_id, observed 2026-07-02T14:47:03.889807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T00:11:57.999438Z digest=sha256:c63df089f0adfd880eafa9d8148857654f17f5c055bb0414f586000e8ae5f41e

Observation fc4f4906-f1d1-4ae3-bb25-ce71314dfc97 · 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 Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 16

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verified exact
arxiv_id, observed 2026-07-04T05:09:36.482552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T16:16:12.898027Z digest=sha256:87a10eb63f796ba2626ee10e1c2b7861a812e5a9dc0dfbbc5ad8720eeb0f6b31

Observation 591bce62-04b7-469f-a3dd-ee4056278ffe · inbound

Towards CSI-Native Foundation Models: A Channel-Adaptive Roadmap for 6G cites this paper.

Towards CSI-Native Foundation Models: A Channel-Adaptive Roadmap for 6G Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 9

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verified exact
arxiv_id, observed 2026-07-03T17:08:43.164285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T04:39:28.927341Z digest=sha256:3619613cb631949d625cae6d7fe2b739538985c26b698f2fce887564536f99d0

Observation b9f472ba-fbcd-43b4-abea-d9f1aeaf9649 · inbound

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing cites this paper.

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 29

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no resolver link, observed 2026-08-02T04:32:18.347217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:32:18.347217Z digest=sha256:263da758b386d966b46aafa77f011a16a3ba550d619b86895e5ee1efc360ad75

Observation f86b53bf-272d-41cc-b4e7-9be7e3e63955 · inbound

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

Hierarchical Wireless Foundation Model for Multi-Task Optimization Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 18

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unresolved
no resolver link, observed 2026-08-01T19:45:30.547399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:45:30.547399Z digest=sha256:ffa1c7bca1b7ca3ec426d4e8dd6e6a30b6a891e8d1480ba9b0d050ae5b5dd225

Observation 17380876-20b6-4fea-a876-c144b2d6c2e6 · inbound

PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G cites this paper.

PERA: A Perceive-Reason-Act Interface Bridging Sensing, Cognitive Reasoning, and Trustworthy Agentic Response for 6G Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 6

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unresolved
no resolver link, observed 2026-08-01T19:39:18.627753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:39:18.627753Z digest=sha256:8e5f35353d050f4946994bc87c3af114206832177a5e8e2685eae821de055998

Observation ee140b3f-436f-4e75-b331-d83afb883bd2 · inbound

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

Cross-System Neural Precoder: Exploiting Structural Consistency for Fast Adaptation Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 2

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unresolved
no resolver link, observed 2026-07-30T14:29:39.912355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T14:29:39.912355Z digest=sha256:84c34b7c1026569bfa58a21452c018b61fefff01edd2f008f18d276752cd3a0a

Observation b1a5345e-b311-45a2-b4b5-e89ba00b5f8e · inbound

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives cites this paper.

CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 10

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unresolved
no resolver link, observed 2026-08-04T22:11:24.977311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:11:24.977311Z digest=sha256:bb1d471e92841401ff0a4300b58660bb5dbc9b4781f59b7d7f8381d686ea0eab

Observation 012b49bd-8bbe-4735-b91c-1984e6a2186e · inbound

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

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 18

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no resolver link, observed 2026-08-06T05:58:23.978195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:58:23.978195Z digest=sha256:8ee47c227fc7d106ff18ca7a0a3dfc69b3c6ef422d743226fb0a7c5229631e91

Observation d84c7f73-4543-4d4a-a6c4-0b01564f65ff · inbound

From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical AI over Networks cites this paper.

From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical AI over Networks Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 16

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no resolver link, observed 2026-08-07T12:10:29.443651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:29.443651Z digest=sha256:da0c9d2b18497c02d91c509eabd8abbcc1e9d79c29283a4a79403a04910d4aab

Observation f79d0d5b-0d77-448d-9b8a-34061b8864e2 · inbound

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations cites this paper.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Large Wireless Model (LWM): A Foundation Model for Wireless Channels

Reference 6

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unresolved
no resolver link, observed 2026-08-12T00:36:19.100924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:36:19.100924Z digest=sha256:a073fd03909f8d1487cc74172b450bcf78768b72182ab4f71889650b7af231f3