Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective | Paper Citation Record

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This paper cites Sidelink positioning: Standardization advancements, challenges and opportunities,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Sidelink positioning: Standardization advancements, challenges and opportunities,

Reference 1

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Observation ea5a5d7d-97f2-46fd-a73c-d8165567ecfe · outbound

This paper cites Enhanced fingerprint-based positioning with practical imperfections: Deep learning-based approaches,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Enhanced fingerprint-based positioning with practical imperfections: Deep learning-based approaches,

Reference 2

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Observation eb6ef409-4301-4a2a-ae22-4a69514bb5c2 · outbound

This paper cites A stochastic geometry-based analytical framework for integrated localization and communication sys- tems,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective A stochastic geometry-based analytical framework for integrated localization and communication sys- tems,

Reference 3

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Observation bd4b8b7f-5f67-40c9-80c3-573f29b4ce1d · outbound

This paper cites On the road to 6g: Visions, requirements, key technologies, and testbeds,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective On the road to 6g: Visions, requirements, key technologies, and testbeds,

Reference 4

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Observation a87f5743-baf4-4fac-b63f-6c60d20ad1ee · outbound

This paper cites Hyper-parameter optimization for wireless network traffic prediction models with a novel meta- learning framework,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Hyper-parameter optimization for wireless network traffic prediction models with a novel meta- learning framework,

Reference 5

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Observation 8ce4b7d4-a715-45f5-9bba-9ebfcff293c4 · outbound

This paper cites On the performance of coexisting NR-U and WiGig networks with directional sensing,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective On the performance of coexisting NR-U and WiGig networks with directional sensing,

Reference 6

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Observation 0c00ed85-e373-4fa7-bc26-12d8690fa5e9 · outbound

This paper cites On the performance of an integrated communication and localization system: An analytical framework,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective On the performance of an integrated communication and localization system: An analytical framework,

Reference 7

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Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Fair and efficiency coexistence between nr-u and wigig networks enabled by a matching-based framework with forbidden pairs,

Reference 8

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Observation cc9918ce-6e22-42fe-98ce-8b448b065c03 · outbound

This paper cites On the fairness of the coexisting LTE-U and WiFi networks sharing multiple unlicensed channels,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective On the fairness of the coexisting LTE-U and WiFi networks sharing multiple unlicensed channels,

Reference 9

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Observation b31dff0e-6460-48aa-bd1d-4443f40ae050 · outbound

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Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Licensed and unlicensed bands allocation for cellular users: A matching-based approach,

Reference 10

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Observation 7b645fc2-d9a1-48a7-af57-d34c7e23449c · outbound

This paper cites Coexistence of LTE- LAA and Wi-Fi on 5 GHz with corresponding deployment sce- narios: A survey,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Coexistence of LTE- LAA and Wi-Fi on 5 GHz with corresponding deployment sce- narios: A survey,

Reference 11

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Observation e054deca-5bdc-4d71-b122-68e4575436fc · outbound

This paper cites Generalizable and Robust Beam Prediction for 6G Networks: An Deep-Learning Framework with Positioning Feature Fu- sion,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Generalizable and Robust Beam Prediction for 6G Networks: An Deep-Learning Framework with Positioning Feature Fu- sion,

Reference 12

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Observation e223bf7e-1c2a-4ea8-8e7a-5083f3eee9a8 · outbound

This paper cites A matching-based pilot assignment algorithm for cell-free massive MIMO networks,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective A matching-based pilot assignment algorithm for cell-free massive MIMO networks,

Reference 13

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Observation 3283f6d8-01b7-4342-b02a-0a7eb5437135 · outbound

This paper cites Channel extrapolation for mimo systems with the assistance of multi-path information induced from channel state information,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Channel extrapolation for mimo systems with the assistance of multi-path information induced from channel state information,

Reference 14

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Observation b83bcefa-10fc-401e-afbd-4bbbb602c192 · outbound

This paper cites AI-based time-, frequency-, and space-domain channel extrapolation for 6G: Opportunities and challenges,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective AI-based time-, frequency-, and space-domain channel extrapolation for 6G: Opportunities and challenges,

Reference 15

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Observation a5fd8002-5ebf-4ac2-95c0-55b9444955a1 · outbound

This paper cites Effective outdoor pathloss prediction: A multi-layer segmentation approach with weighting map,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Effective outdoor pathloss prediction: A multi-layer segmentation approach with weighting map,

Reference 16

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Observation 48b1c0ed-8d31-4e86-8f5d-b8ec46da76c9 · outbound

This paper cites Enabling 6g through multi-domain channel ex- trapolation: Opportunities and challenges of generative artificial intelligence,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Enabling 6g through multi-domain channel ex- trapolation: Opportunities and challenges of generative artificial intelligence,

Reference 17

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Observation a31d69bf-3006-4930-ad74-df45f3abbab5 · outbound

This paper cites Massive MIMO channel predic- tion in real propagation environments using tensor decomposi- tion and autoregressive models,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Massive MIMO channel predic- tion in real propagation environments using tensor decomposi- tion and autoregressive models,

Reference 18

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Observation 8fdd057e-3c7e-42ac-90ff-fa9a22ae4a1c · outbound

This paper cites Two-stage based partial online optimization channel prediction for massive MIMO in high-mobility,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Two-stage based partial online optimization channel prediction for massive MIMO in high-mobility,

Reference 19

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This paper cites Basis expansion extrapolation based DL channel prediction with ul channel estimates for TDD MIMO-OTFS systems,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Basis expansion extrapolation based DL channel prediction with ul channel estimates for TDD MIMO-OTFS systems,

Reference 20

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Observation f2dd754a-cdf0-49ad-9087-b99ef5d9aea9 · outbound

This paper cites A novel mobility induced channel prediction mechanism for vehicular communications,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective A novel mobility induced channel prediction mechanism for vehicular communications,

Reference 21

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This paper cites Sparse Bayesian learning based channel extrapolation for RIS assisted MIMO- OFDM,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Sparse Bayesian learning based channel extrapolation for RIS assisted MIMO- OFDM,

Reference 22

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This paper cites Nonparametric regres- sion for MU-MIMO channel prediction: From KNN to local linear regression,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Nonparametric regres- sion for MU-MIMO channel prediction: From KNN to local linear regression,

Reference 23

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Observation 8cb42fb4-9b60-4fa1-bc63-e3dda8d43670 · outbound

This paper cites AI-driven channel state information (CSI) extrapolation for 6G: Current situations, challenges and future research,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective AI-driven channel state information (CSI) extrapolation for 6G: Current situations, challenges and future research,

Reference 24

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Observation 1fb25bf6-c567-40f0-9f1e-e6622a57740e · outbound

This paper cites Massive MIMO channel prediction: Kalman filtering vs. machine learn- 12 ing,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Massive MIMO channel prediction: Kalman filtering vs. machine learn- 12 ing,

Reference 25

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This paper cites Channel mapping based on interleaved learning with complex-domain MLP- mixer,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Channel mapping based on interleaved learning with complex-domain MLP- mixer,

Reference 26

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This paper cites A comparison of neural networks for wireless channel prediction,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective A comparison of neural networks for wireless channel prediction,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:07.282707Z

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This paper cites Recurrent neural network- based frequency-domain channel prediction for wideband com- munications,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Recurrent neural network- based frequency-domain channel prediction for wideband com- munications,

Reference 28

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This paper cites LSTM-based channel prediction for secure massive MIMO communications under imperfect CSI,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective LSTM-based channel prediction for secure massive MIMO communications under imperfect CSI,

Reference 29

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Observation 03394e1c-9f91-4a51-9103-8f521a876d2b · outbound

This paper cites Predicting Future CSI Feedback For Highly-Mobile Massive MIMO Systems.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Predicting Future CSI Feedback For Highly-Mobile Massive MIMO Systems

Reference 30

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Observation ab6a4c39-6d61-4fbe-9000-b5853f3dd510 · outbound

This paper cites E2Enet: An end-to-end channel prediction neural network based on uplink pilot for fdd systems,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective E2Enet: An end-to-end channel prediction neural network based on uplink pilot for fdd systems,

Reference 31

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Observation 88a1d72d-1ab2-403d-9d93-fb36bef414d6 · outbound

This paper cites Linformer: A linear-based lightweight transformer architecture for time-aware MIMO channel prediction,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Linformer: A linear-based lightweight transformer architecture for time-aware MIMO channel prediction,

Reference 32

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Observation 2ca7d339-01e2-4b3f-815b-83f252a90865 · outbound

This paper cites SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective SSNet: Flexible and robust channel extrapolation for fluid antenna systems enabled by an self-supervised learning framework,

Reference 33

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Observation 0af2164f-38da-43b7-97ea-6457694c642c · outbound

This paper cites CSI-LLM: a novel downlink channel prediction method aligned with llm pre-training,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective CSI-LLM: a novel downlink channel prediction method aligned with llm pre-training,

Reference 34

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Observation 3f3fec6c-b830-401c-9350-4c47f9f2085c · outbound

This paper cites A generative pre-trained language model for channel prediction in wireless communications systems,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective A generative pre-trained language model for channel prediction in wireless communications systems,

Reference 35

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Observation 638d1ce9-0e35-499a-b0f9-e0b4e1bb2269 · outbound

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

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction

Reference 36

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

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

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

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Observation 0f4280a1-4787-4d51-975f-eb6bed6421f3 · outbound

This paper cites A MIMO Wireless Channel Foundation Model via CIR-CSI Consistency.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective A MIMO Wireless Channel Foundation Model via CIR-CSI Consistency

Reference 38

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Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Unresolved cited work

Reference 39

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Observation c2fa14ce-be13-4ed5-9b66-bf27a164083d · outbound

This paper cites Building machines that learn and think like people,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Building machines that learn and think like people,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:05.541790Z

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Observation 18ea465a-38fc-4164-a281-c943fc7c6d1d · outbound

This paper cites A Survey on Large Language Models with some Insights on their Capabilities and Limitations.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Reference 41

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Observation 1f43f78c-1d96-4115-aaf6-c1b33b78a7d8 · outbound

This paper cites The computational power of the human brain,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective The computational power of the human brain,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:05.351378Z

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Observation 7caf519f-ac94-4b6a-82bb-a7ac4e287534 · outbound

This paper cites Matching networks for one shot learning,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Matching networks for one shot learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:05.152480Z

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Observation 23fefe7d-a7ec-4025-bf24-d74a5e9f6ee7 · outbound

This paper cites An energy budget for signaling in the grey matter of the brain,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective An energy budget for signaling in the grey matter of the brain,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:04.993753Z

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Observation 4ac82872-8a80-4a13-9332-b715ab66a299 · outbound

This paper cites Modular Deep Learning.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Modular Deep Learning

Reference 45

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Observation 1832f288-a431-4e96-a73c-16d8172b0e35 · outbound

This paper cites Parameter-efficient fine- tuning of large-scale pre-trained language models,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Parameter-efficient fine- tuning of large-scale pre-trained language models,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:04.806403Z

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 53520f06-5442-49f0-b712-77800dba44a5 · outbound

This paper cites Emergent Modularity in Pre-trained Transformers.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Emergent Modularity in Pre-trained Transformers

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:00.314809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 801725e8-d647-47d4-a15f-7a89ad8922f6 · outbound

This paper cites an unresolved cited work.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:24:04.571237Z

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 d29d846c-ba13-49c1-83e7-faff9fb5a524 · outbound

This paper cites Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:24:02.280440Z

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 c8e39e35-aecb-429b-b23f-92e7250ce2b3 · outbound

This paper cites Configurable Foundation Models: Building LLMs from a Modular Perspective.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Configurable Foundation Models: Building LLMs from a Modular Perspective

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:00.645151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4642d03-6db7-432b-8e06-b6ecdf9ef452 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Masked autoencoders are scalable vision learners,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:04.326352Z

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 ee6bded7-366c-408d-881f-225c2d5de576 · outbound

This paper cites 28 GHz in- door and outdoor propagation measurements and analysis at a regional airport,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective 28 GHz in- door and outdoor propagation measurements and analysis at a regional airport,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:04.174795Z

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 10012801-41bd-4dbd-a903-a48c55712959 · outbound

This paper cites Bringing it indoors: A review of narrowband radio propaga- tion modeling for enclosed spaces,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Bringing it indoors: A review of narrowband radio propaga- tion modeling for enclosed spaces,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:03.980713Z

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 b040b9a4-7d79-44bc-9c6e-c80589d6268f · outbound

This paper cites Integrated communication, localization, and sensing in 6G D- MIMO networks,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Integrated communication, localization, and sensing in 6G D- MIMO networks,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:03.786773Z

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 6b5805c8-00dd-4c50-8108-f5428d4e187f · outbound

This paper cites Statistical channel model of wide- band sub-THz radio propagation in indoor factories at 142 GHz: Towards 6G industrial wireless networks,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Statistical channel model of wide- band sub-THz radio propagation in indoor factories at 142 GHz: Towards 6G industrial wireless networks,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:03.657621Z

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 f416f089-fe6d-47bb-a169-601f5cfd60e6 · outbound

This paper cites Transformer masked autoencoders for next-generation wireless communications: Architecture and opportunities,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Transformer masked autoencoders for next-generation wireless communications: Architecture and opportunities,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:03.502707Z

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 0d85b81d-f98d-4e86-bd6f-6f9dda96ecdc · outbound

This paper cites Wifo: Wireless foundation model for channel prediction,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Wifo: Wireless foundation model for channel prediction,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:01.392220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5caa320-5fe0-4433-80ef-4af3809c0fd9 · outbound

This paper cites Moefica- tion: Transformer feed-forward layers are mixtures of experts,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Moefica- tion: Transformer feed-forward layers are mixtures of experts,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:03.368845Z

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 c045cd45-c9dd-4126-a6e3-c9426417c57d · outbound

This paper cites Balanced k-means for clustering,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Balanced k-means for clustering,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:03.247239Z

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 680163fa-a60a-43d4-8194-7ae94232fee9 · outbound

This paper cites DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:01.772025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea728dba-934f-4a67-a69c-2492b684bce6 · outbound

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

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Quadriga: A 3-d multi-cell channel model with time evolution for enabling virtual field trials,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:03.126233Z

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 24456dcf-cf24-432c-96fe-33b230f1b070 · outbound

This paper cites Quadriga - quasi deterministic radio channel generator, user manual and documentation,.

Generalizable and Computational Efficient Channel Extrapolation for 6G: A Configurable AI-Driven Framework Built from a Modular Perspective Quadriga - quasi deterministic radio channel generator, user manual and documentation,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:24:02.935463Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers