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Paper Citation Record · LEDGER

Prompt-Enabled Large AI Models for CSI Feedback

As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 9 inbound Pith citation observations for arXiv:2501.10629.

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

pith.paper-citation-record.v1
2501.10629 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:06:58.605446Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:20:15.270697Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T10:24:21.376046Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy39
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b04b87b-2359-4f90-aa99-2a9afcc4d766 · outbound

This paper cites 6G takes shape,.

Prompt-Enabled Large AI Models for CSI Feedback 6G takes shape,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-10T19:06:59.384515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.367180Z digest=sha256:089b005f4f17fb562dae9c93c1c16e39c995c6aeb102c190da1a86dff24a6a8b

Observation 80904249-5e34-4bd0-b527-7340bdd79994 · outbound

This paper cites Massive MIMO in 5G: How beamforming, codebooks, and feedback enable larger arrays,.

Prompt-Enabled Large AI Models for CSI Feedback Massive MIMO in 5G: How beamforming, codebooks, and feedback enable larger arrays,

Reference 2

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raw_fallback, observed 2026-08-10T19:06:59.360340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.373041Z digest=sha256:e06cfbecd81dc17097b621a8751e41d8b518083003bacfc7b9f810ae08869648

Observation ae9f627d-c792-4f34-b912-7f6afab51736 · outbound

This paper cites A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,.

Prompt-Enabled Large AI Models for CSI Feedback A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,

Reference 3

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raw_fallback, observed 2026-08-10T19:06:59.337634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.381894Z digest=sha256:9985f130ec9bc7ae5498c985c3490de068382cc6db14b51a44963d444687f4aa

Observation d786eb19-4b57-425a-a17d-65f22905d641 · outbound

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

Prompt-Enabled Large AI Models for CSI Feedback Deep learning for massive MIMO CSI feedback,

Reference 4

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no resolver link, observed 2026-08-10T19:06:58.390771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.390771Z digest=sha256:8861183ba9a2bc714ab2975d9e1d07111e952c27c676aba388152ab131c2024b

Observation 14b4dc61-20f2-46c3-aeeb-44bfbaf86563 · outbound

This paper cites Overview of deep learning- based CSI feedback in massive MIMO systems,.

Prompt-Enabled Large AI Models for CSI Feedback Overview of deep learning- based CSI feedback in massive MIMO systems,

Reference 5

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no resolver link, observed 2026-08-10T19:06:58.396122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.396122Z digest=sha256:998464e7069aa95d2b5bc95969c6983ab61911aca277384fb56585410eb628c9

Observation be08fdc6-e1ac-4482-8938-281dc1798fe7 · outbound

This paper cites A spatially separable attention mechanism for massive MIMO CSI feedback,.

Prompt-Enabled Large AI Models for CSI Feedback A spatially separable attention mechanism for massive MIMO CSI feedback,

Reference 6

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raw_fallback, observed 2026-08-10T19:06:59.296385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.401147Z digest=sha256:4999987888d8c3724d554329403a9b4f2ab5c566e6ad3e3b82a68fa2f43b4b92

Observation 11c6ab06-637c-4166-be09-cfca0b0df077 · outbound

This paper cites Deep learning- based CSI feedback for RIS-aided massive MIMO systems with time correlation,.

Prompt-Enabled Large AI Models for CSI Feedback Deep learning- based CSI feedback for RIS-aided massive MIMO systems with time correlation,

Reference 7

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raw_fallback, observed 2026-08-10T19:06:59.282949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.406449Z digest=sha256:e77afa8d93bd6ac65cfece20aaa32b98aff78064c3936ca0cd4d11f24d03beb1

Observation cf882d45-fe1d-4abd-8326-a2d4b3ae1ae9 · outbound

This paper cites Deep learning-based joint optimization of closed- loop FDD mmwave massive MIMO: Pilot adaptation, CSI feedback, and beamforming,.

Prompt-Enabled Large AI Models for CSI Feedback Deep learning-based joint optimization of closed- loop FDD mmwave massive MIMO: Pilot adaptation, CSI feedback, and beamforming,

Reference 8

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raw_fallback, observed 2026-08-10T19:06:59.269087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.410625Z digest=sha256:a54aabf894af43715459cac49aaafb40ca4173151acff2fb2dea545fe8178718

Observation 0d424573-cf20-4f13-85ea-ccd25bc23582 · outbound

This paper cites AI for CSI feedback enhancement in 5G-Advanced,.

Prompt-Enabled Large AI Models for CSI Feedback AI for CSI feedback enhancement in 5G-Advanced,

Reference 9

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raw_fallback, observed 2026-08-10T19:06:59.254265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.415676Z digest=sha256:5f76ab171fc94234ef7e2ca739be9544d351aada152854119a89fe521134bdbf

Observation 29281dec-a706-4e45-b221-878cf398ea16 · outbound

This paper cites Study on artificial intelligence (AI)/machine learning (ML) for NR air interface (v18.0.0),.

Prompt-Enabled Large AI Models for CSI Feedback Study on artificial intelligence (AI)/machine learning (ML) for NR air interface (v18.0.0),

Reference 10

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raw_fallback, observed 2026-08-10T19:06:59.237391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.421002Z digest=sha256:011372f2a8edcd118ec58ac93af831b7d47ed17ceae7ce066c686c3b864d3654

Observation 551a6249-0e09-4baf-ae49-481d02b80d0a · outbound

This paper cites Learning the CSI recovery in FDD systems,.

Prompt-Enabled Large AI Models for CSI Feedback Learning the CSI recovery in FDD systems,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.425854Z digest=sha256:b1501d9e1589e865a32e64ed6e77d2810d94a1361e80d29d699c714d043ef40e

Observation cc362772-7f72-4a58-b510-da5ecba70977 · outbound

This paper cites Digital twin aided massive MIMO: CSI compression and feedback,.

Prompt-Enabled Large AI Models for CSI Feedback Digital twin aided massive MIMO: CSI compression and feedback,

Reference 12

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no resolver link, observed 2026-08-10T19:06:58.436267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.436267Z digest=sha256:ed7428086b8c5dd08eec59f9f8e0a99a294167a0046059e2e557bdc0b99f4445

Observation 670e3449-50d4-47ca-83e2-284a7756d738 · outbound

This paper cites Codebook-agnostic separate training for DL-based CSI feedback enhancement,.

Prompt-Enabled Large AI Models for CSI Feedback Codebook-agnostic separate training for DL-based CSI feedback enhancement,

Reference 13

Resolution
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raw_fallback, observed 2026-08-10T19:06:59.201342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.442263Z digest=sha256:f5c36de12070732c4ff525808c8dfba54cef1666b005831609667417d19f2216

Observation 3c075e40-8058-4107-bb7d-2ae7490eece9 · outbound

This paper cites Accelerating and compressing deep neural networks for massive MIMO CSI feedback,.

Prompt-Enabled Large AI Models for CSI Feedback Accelerating and compressing deep neural networks for massive MIMO CSI feedback,

Reference 14

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raw_fallback, observed 2026-08-10T19:06:59.171784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.446021Z digest=sha256:77a7df9ac39f22e5ad1339f5d8f5966433a3ac2c679b3ff0bb7d8332963f9031

Observation 3eb20257-b9e5-44a8-9d09-be50dea9863c · outbound

This paper cites Domain generalization in machine learning models for wireless communications: Concepts, state-of-the-art, and open issues,.

Prompt-Enabled Large AI Models for CSI Feedback Domain generalization in machine learning models for wireless communications: Concepts, state-of-the-art, and open issues,

Reference 15

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raw_fallback, observed 2026-08-10T19:06:59.153039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.449998Z digest=sha256:39b5130521b28d4db935a3704df13612871f435d23863a5d1164d27fce94d245

Observation e6707959-ae2d-496f-99de-a75a703bf032 · outbound

This paper cites Language models are weak learners,.

Prompt-Enabled Large AI Models for CSI Feedback Language models are weak learners,

Reference 16

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raw_fallback, observed 2026-08-10T19:06:59.138334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.454154Z digest=sha256:eea447910b282b10b30ddf94e6f00a8845c04dadf587f8ad6c2175aba2368155

Observation c5f9b7be-b8fa-4d51-b544-0db73fa975a3 · outbound

This paper cites A brief overview of ChatGPT: The history, status quo and potential future development,.

Prompt-Enabled Large AI Models for CSI Feedback A brief overview of ChatGPT: The history, status quo and potential future development,

Reference 17

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.458571Z digest=sha256:08880b96b9370bf3197add0cf3dc69346328be05979d8fdb9047ee9012393fbd

Observation beb26203-23a5-4215-bd71-17803c307598 · outbound

This paper cites ChatGPT: five priorities for research,.

Prompt-Enabled Large AI Models for CSI Feedback ChatGPT: five priorities for research,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.462626Z digest=sha256:c8b954ae1a568a1810e677b50155b2aeee1eeab8fc0f3d607ea01722d663b5f3

Observation 245ce131-4bab-49d4-81e7-74afcd959eb6 · outbound

This paper cites Scaling Laws for Neural Language Models.

Prompt-Enabled Large AI Models for CSI Feedback Scaling Laws for Neural Language Models

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.466006Z digest=sha256:8939250c2816c3ba70cf5e0c879d0d0db1518a851ad82c7c2a8d3287a18ca048

Observation b4111925-f5c6-4dc5-835b-caa022eb82e2 · outbound

This paper cites Large AI model-based semantic communications,.

Prompt-Enabled Large AI Models for CSI Feedback Large AI model-based semantic communications,

Reference 20

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raw_fallback, observed 2026-08-10T19:06:59.099183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.470417Z digest=sha256:c3369f0149449d337d29deb361f8fd111cdb844b80fa352474e970dfeffc75d3

Observation 13c5a695-58df-4931-a4ac-cef766eac6cc · outbound

This paper cites Big AI models for 6G wireless networks: Opportunities, challenges, and research directions,.

Prompt-Enabled Large AI Models for CSI Feedback Big AI models for 6G wireless networks: Opportunities, challenges, and research directions,

Reference 21

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no resolver link, observed 2026-08-10T19:06:58.474674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.474674Z digest=sha256:eaa8c808cc503dac1f3fc84311b965f1a15b86efc2722f53154fd069a3053535

Observation 092f47b9-6e0b-4e1d-8af8-0ddc4b94c2d6 · outbound

This paper cites CSI-PPPNet: A one-sided one-for-all deep learning framework for massive MIMO CSI feedback,.

Prompt-Enabled Large AI Models for CSI Feedback CSI-PPPNet: A one-sided one-for-all deep learning framework for massive MIMO CSI feedback,

Reference 22

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raw_fallback, observed 2026-08-10T19:06:59.073001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.478009Z digest=sha256:acb0ee6de6ef5551f34e9f46cb0053818f29ecf00387f10c65670a1a50732780

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

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

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

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.481771Z digest=sha256:78e643cd24e2636c9958341e32bd951a0db205f10fb6231d85da27f63151ca3c

Observation 04dfdf00-a079-414a-96c3-abac7a765888 · outbound

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

Prompt-Enabled Large AI Models for CSI Feedback DeepMIMO: A generic deep learning dataset for mil- limeter wave and massive MIMO applications,

Reference 24

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raw_fallback, observed 2026-08-10T19:06:59.059985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.485326Z digest=sha256:48be65d5f4f63f2106dabcb89b49e266ae9b0e9c9840f568b9022809c2501755

Observation 29411447-3a2e-45d5-85e5-48a5bdb2cede · outbound

This paper cites Massive MIMO CSI feedback using channel prediction: How to avoid machine learning at UE?.

Prompt-Enabled Large AI Models for CSI Feedback Massive MIMO CSI feedback using channel prediction: How to avoid machine learning at UE?

Reference 25

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raw_fallback, observed 2026-08-10T19:06:59.044979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.488624Z digest=sha256:a8b916329962d6185c2d474c4b69f4de13ff17258be4b756311c139256949a61

Observation c755f3e5-686a-48b7-af2b-b23f29926b8d · outbound

This paper cites AI enlightens wireless communi- cation: Analyses, solutions and opportunities on CSI feedback,.

Prompt-Enabled Large AI Models for CSI Feedback AI enlightens wireless communi- cation: Analyses, solutions and opportunities on CSI feedback,

Reference 26

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raw_fallback, observed 2026-08-10T19:06:59.029420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.493290Z digest=sha256:756ed3bf4443cf2a5f7f92bbf4ba534f9953879e3124f0b66169ae566800a6d0

Observation cd76a542-6d2d-479c-8065-baf0e33e4bc4 · outbound

This paper cites CSI- StripeFormer: Exploiting stripe features for CSI compression in massive MIMO system,.

Prompt-Enabled Large AI Models for CSI Feedback CSI- StripeFormer: Exploiting stripe features for CSI compression in massive MIMO system,

Reference 27

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no resolver link, observed 2026-08-10T19:06:58.497953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.497953Z digest=sha256:935138c8ac64a27b3026053fdae807e8cfc642ef14b445ed73dc66d95d7ff199

Observation a9d244ef-31e3-45ff-8cfe-222a69cef765 · outbound

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

Prompt-Enabled Large AI Models for CSI Feedback QuaDRiGa: A 3- D multi-cell channel model with time evolution for enabling virtual field trials,

Reference 28

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raw_fallback, observed 2026-08-10T19:06:59.005965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.502625Z digest=sha256:2dbed54a11f54ecdd5be979be65babf8f527b1f7f9fe7dca8e2dc9d9b7b5a0a9

Observation c24c3283-8bc6-428a-b715-10780195375f · outbound

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

Prompt-Enabled Large AI Models for CSI Feedback Study on channel model for frequencies from 0.5 to 100 GHz (Release 15),

Reference 29

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raw_fallback, observed 2026-08-10T19:06:58.993123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.506631Z digest=sha256:1d1e614aa8d7f8e9f4ff31253a3e6feeb548d4d575d473d159de41cc1fc69249

Observation 02a64303-c6a4-49a9-b034-8af00838a9a0 · outbound

This paper cites Zone-specific CSI feedback for massive MIMO: A situation-aware deep learning approach,.

Prompt-Enabled Large AI Models for CSI Feedback Zone-specific CSI feedback for massive MIMO: A situation-aware deep learning approach,

Reference 30

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raw_fallback, observed 2026-08-10T19:06:58.980297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.512605Z digest=sha256:d5ff507fa3bf340530f9e015beeac8074e3a1d935f1bcf329405db0fae20e3ee

Observation 330a280c-c7c6-4e81-84d5-d4c28365a4a9 · outbound

This paper cites SNAP–CSI: Personalized neural compression for enhanced CSI compression in wireless networks,.

Prompt-Enabled Large AI Models for CSI Feedback SNAP–CSI: Personalized neural compression for enhanced CSI compression in wireless networks,

Reference 31

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raw_fallback, observed 2026-08-10T19:06:58.964017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.521680Z digest=sha256:83f274e92a5e3084ca77306e69fed57c8ee1fe0701af9212f2d0158546dd58db

Observation baec5a4c-d57a-4219-954f-c6d964a9f319 · outbound

This paper cites User-centric online gossip training for autoencoder-based CSI feedback,.

Prompt-Enabled Large AI Models for CSI Feedback User-centric online gossip training for autoencoder-based CSI feedback,

Reference 32

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raw_fallback, observed 2026-08-10T19:06:58.946926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.527794Z digest=sha256:cee7daf0145e1dd15648ab77ac005999b76958bb8c3efd05a5c92d073475b1cf

Observation 940bada2-df76-4073-a7b4-d80d899a5921 · outbound

This paper cites Downlink CSI feedback algorithm with deep transfer learning for FDD massive MIMO systems,.

Prompt-Enabled Large AI Models for CSI Feedback Downlink CSI feedback algorithm with deep transfer learning for FDD massive MIMO systems,

Reference 33

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raw_fallback, observed 2026-08-10T19:06:58.931972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.533068Z digest=sha256:9e63a1f795621591468712487ed9ad85545de8e1959b361349f0196a9699fad4

Observation 2b420588-16cc-4be6-8feb-c9c871054083 · outbound

This paper cites Channel modeling aided dataset generation for AI-enabled CSI feedback: Advances, challenges, and solutions,.

Prompt-Enabled Large AI Models for CSI Feedback Channel modeling aided dataset generation for AI-enabled CSI feedback: Advances, challenges, and solutions,

Reference 34

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raw_fallback, observed 2026-08-10T19:06:58.917599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.537127Z digest=sha256:8128defa5c4405746e5c0f0b8234b71a51ee2e985bb90fdb21992e47d97b32e6

Observation 01213096-513e-49a7-8659-8b8376181266 · outbound

This paper cites Continuous online learning- based CSI feedback in massive MIMO systems,.

Prompt-Enabled Large AI Models for CSI Feedback Continuous online learning- based CSI feedback in massive MIMO systems,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.900007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.541506Z digest=sha256:73067d47cd134e33e58bbaba292ae3cae51a7bda2dfa52570497f6ac86c13895

Observation e9c0022f-68b1-4af4-ac7f-59f87560a887 · outbound

This paper cites Deep learning for efficient CSI feedback in massive MIMO: Adapting to new environments and small datasets,.

Prompt-Enabled Large AI Models for CSI Feedback Deep learning for efficient CSI feedback in massive MIMO: Adapting to new environments and small datasets,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.887223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.546502Z digest=sha256:a30a573383ed3efc00fdd6cf62027b19f36e71eaede8174d56448041ad2c4db8

Observation 954b5715-52d8-4c9d-8475-4398511158bc · outbound

This paper cites EfficientNet: Rethinking model scaling for convolu- tional neural networks,.

Prompt-Enabled Large AI Models for CSI Feedback EfficientNet: Rethinking model scaling for convolu- tional neural networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.875517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.550348Z digest=sha256:a554ea66ca21cd7340719ed0f47180f98c673cfeb1955ffedfeaa6a7c0abb869

Observation 0025c9b9-ded2-48df-9d03-7327ecd81446 · outbound

This paper cites Four generations of high-dimensional neural network poten- tials,.

Prompt-Enabled Large AI Models for CSI Feedback Four generations of high-dimensional neural network poten- tials,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.861127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.554197Z digest=sha256:ea99dc2b6f0326f57bc11c7051646f8e736c1c403336842a14f89e19c45a9d07

Observation 294fb212-4a85-4964-af5c-58ba9b2dbef2 · outbound

This paper cites Explaining neural scaling laws,.

Prompt-Enabled Large AI Models for CSI Feedback Explaining neural scaling laws,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.840457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.558035Z digest=sha256:1a43ec5e01b596bc8cb483b2f5c89b90ea2afe9d878f804340f8b0ff7186dcbf

Observation 73abde9b-4af6-4756-b151-7980715e11df · outbound

This paper cites PACE: marrying the generalization of PArameter-efficient fine-tuning with Consistency rEgularization,.

Prompt-Enabled Large AI Models for CSI Feedback PACE: marrying the generalization of PArameter-efficient fine-tuning with Consistency rEgularization,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.826853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.562067Z digest=sha256:0e80c5d254a838e5e3edb8530a2978789944bda95a83767c50db5d0b6382e2b3

Observation 1b48bf27-343c-4a54-a538-3dc1ef85d00a · outbound

This paper cites Multi-task training approach for CSI feedback in massive MIMO systems,.

Prompt-Enabled Large AI Models for CSI Feedback Multi-task training approach for CSI feedback in massive MIMO systems,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.812632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.566000Z digest=sha256:aecdcef0afe11542e315e6cba23fcdbce223014e2425f82983f086ad108f7850

Observation e67accfa-aa7b-455a-afaf-d63c853cb886 · outbound

This paper cites Multi-task learning for massive MIMO CSI feedback,.

Prompt-Enabled Large AI Models for CSI Feedback Multi-task learning for massive MIMO CSI feedback,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.792977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.570053Z digest=sha256:04719b0ac64caa0462df31a5c95abeba7cc779dd7d1d3f990f4c58ae84653d37

Observation 83fe9acd-4585-4d83-b2a5-3b6ba7d532f5 · outbound

This paper cites Automated environment-aware channel feedback for 6G massive MIMO systems,.

Prompt-Enabled Large AI Models for CSI Feedback Automated environment-aware channel feedback for 6G massive MIMO systems,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.775114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.573562Z digest=sha256:06bea90e4eacd37fe9f335661785afb7d2135ce74e313694bd42e8e613c1cb17

Observation 71813e70-a750-45b3-a4f8-00ef5a2a8cc5 · outbound

This paper cites Enabling efficient data integration of industry 5.0 nodes through highly accurate neural CSI feedback,.

Prompt-Enabled Large AI Models for CSI Feedback Enabling efficient data integration of industry 5.0 nodes through highly accurate neural CSI feedback,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.761035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.577770Z digest=sha256:3f50e09f55a47834491611424647fc169dbfe56ec8ee4c0183016be5c67b35c7

Observation 866369aa-f5a1-48bc-a3cb-9e1e4ee8ec2a · outbound

This paper cites Floor- plan-aided indoor localization: Zero-shot learning framework, data sets, and prototype,.

Prompt-Enabled Large AI Models for CSI Feedback Floor- plan-aided indoor localization: Zero-shot learning framework, data sets, and prototype,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.746142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.581646Z digest=sha256:249000e6e168b1131c2fd94eaee4281d897798622816f74e53f29772a2975ac9

Observation f1cb3cb2-6268-42a1-8aad-4e724e73a47e · outbound

This paper cites Evaluation Metrics and Methods for Generative Models in the Wireless PHY Layer.

Prompt-Enabled Large AI Models for CSI Feedback Evaluation Metrics and Methods for Generative Models in the Wireless PHY Layer

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:58.586356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.586356Z digest=sha256:0b4ed4eeab6b6914400536d1d16a0c98f8259523ef960012849d79bd03dd5b6a

Observation 3c1cc57a-1390-4e6f-a21b-db5d40284a0c · outbound

This paper cites Transformer-empowered 6G intelligent networks: From massive MIMO processing to semantic communication,.

Prompt-Enabled Large AI Models for CSI Feedback Transformer-empowered 6G intelligent networks: From massive MIMO processing to semantic communication,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.731988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.590448Z digest=sha256:aacd99d6e4014daa7b4b4cfadf0eae36323f418385c506051e567babf532aded

Observation 18f532a1-6911-4644-b610-86237a7547ff · outbound

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

Prompt-Enabled Large AI Models for CSI Feedback WiFo: Wireless Foundation Model for Channel Prediction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:58.597212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.597212Z digest=sha256:bd3524e7155d6fbfe7070f97a378a6d645062b82bec7ef2663ff1210fe9a6973

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

This paper cites Large Wireless Model (LWM): A Foundation Model for Wireless Channels.

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

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T19:06:58.601303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:06:58.601303Z digest=sha256:5f2b598aadf5ff3b007ad1563f8dc44857f583ea1f066a60b6c12022fe30d72f

Observation 3d95548b-e0c3-428f-94c6-72640b2770a5 · outbound

This paper cites A survey on model com- pression for large language models,.

Prompt-Enabled Large AI Models for CSI Feedback A survey on model com- pression for large language models,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:06:58.718967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T19:06:58.605446Z digest=sha256:2c48a157061a8b7e653d95e7f280970f14244c7bb76c8fca34acb97051a0db56

Pith citing papers

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

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

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=sha256:8321f10a32819ff7b37b4b506fb1607d8389e3de6cc5c36e9d54d86b34e72a13

Observation 53f9bef0-ec5c-43d5-9152-7e11665c17dd · 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 Prompt-Enabled Large AI Models for CSI Feedback

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:55.816431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:55.816431Z digest=sha256:3cce3a12401bdf90706b749f9686e4e9cd96ff8ee3042292025a86a7806206e0

Observation 3c8708f4-2a4e-48b1-aa32-4798bf43f70a · inbound

Semantic-aware Digital Twin for AI-based CSI Acquisition cites this paper.

Semantic-aware Digital Twin for AI-based CSI Acquisition Prompt-Enabled Large AI Models for CSI Feedback

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:20.767868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:20.767868Z digest=sha256:9b386d3848d7d7b501c38a9062266392e740ad660b7c74064c5629c50bfb19fc

Observation f4dd1945-0677-4da5-bc43-7b9e4d14a31a · inbound

Limited Feedback in RIS-Assisted Wireless Communications: Use Cases, Challenges, and Future Directions cites this paper.

Limited Feedback in RIS-Assisted Wireless Communications: Use Cases, Challenges, and Future Directions Prompt-Enabled Large AI Models for CSI Feedback

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T21:58:58.953237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:58:58.953237Z digest=sha256:973a61db821af8bdfb07b91d8aa8ace135285f12d7ec3aa848cc5bdefc81ca12

Observation 76f88db2-ae4a-4864-b647-dd0c41505e39 · inbound

Joint Spatial Division and Multiplexing with Customized Orthogonal Group Channels in Multi-RIS-Assisted Systems cites this paper.

Joint Spatial Division and Multiplexing with Customized Orthogonal Group Channels in Multi-RIS-Assisted Systems Prompt-Enabled Large AI Models for CSI Feedback

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T20:54:40.837360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:54:40.837360Z digest=sha256:090791bda272cc5efe80e5bbddaea9222a43382dcf154871afaddbd71b76417b

Observation 967f152c-305e-417a-924c-bd46601ab868 · 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 Prompt-Enabled Large AI Models for CSI Feedback

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:33.193341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:37:33.193341Z digest=sha256:11fb1d0386289b89d3ff24d9c7bfa33fd05ea0ae425ab44259df5163326c302e

Observation 554a6a05-f171-4061-afeb-4328cd2f35e1 · inbound

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

WiFo-CF: Wireless Foundation Model for CSI Feedback Prompt-Enabled Large AI Models for CSI Feedback

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T00:56:04.705651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:56:04.705651Z digest=sha256:61570bfe262a3b50bf642785fab0e8c40cbe2fd332537a28fa94be111fe11aa5

Observation a104992b-c036-4ae5-8a1a-47a2a66b589c · inbound

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

BERT4beam: Large AI Model Enabled Generalized Beamforming Optimization Prompt-Enabled Large AI Models for CSI Feedback

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T17:14:56.145285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:14:56.145285Z digest=sha256:0e5b6416aef8dad187b80132d1d4acf145d8795ed09c457ce158bd9303f1cfc8

Observation 50daf45d-2836-40f2-8c9d-a404d678db9b · inbound

A Novel 6G Dynamic Channel Map Based on a Hybrid Channel Model cites this paper.

A Novel 6G Dynamic Channel Map Based on a Hybrid Channel Model Prompt-Enabled Large AI Models for CSI Feedback

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:24:21.377814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T10:22:50.241627Z digest=sha256:d24b6af3c2b39f13eea73e3aadef176c57a2d9623986cf4bf75c52a732b3c073