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Paper Citation Record · LEDGER

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.08033.

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

pith.paper-citation-record.v1
2608.08033 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:36:19.247266Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

  • verified exact1
  • verified fuzzy25
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8800603b-9197-4458-9ab4-b02cf2af6c94 · outbound

This paper cites Intelligent Multi-Modal Sensing- Communication Integration: Synesthesia of Machines,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Intelligent Multi-Modal Sensing- Communication Integration: Synesthesia of Machines,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.079316Z digest=sha256:2085e6cd56d4da3c88f794756c340c788ed1ae591be315d85642c9a3eb98d00f

Observation b9dbccc7-9d3a-44cb-8496-0cf29f9d3dfc · outbound

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

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations On the Opportunities and Risks of Foundation Models

Reference 2

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source=pdf_text observed=2026-08-12T00:36:19.083820Z digest=sha256:67bfdffedf9e4fadc8e4fdfc42145725f09bea5cf9e888171bed267cb9a13db0

Observation 212db7ae-af5e-4d50-8b8c-5a2418736777 · outbound

This paper cites WirelessGPT: A Generative Pre-Trained Multi- Task Learning Framework for Wireless Communication,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations WirelessGPT: A Generative Pre-Trained Multi- Task Learning Framework for Wireless Communication,

Reference 3

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.088083Z digest=sha256:73be536fae60c016614d129b5af42c3882c0392652709f105e408fc04760b4cb

Observation 0250d872-01b6-4124-a235-c981a27d50d8 · outbound

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

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:36:19.092520Z digest=sha256:26e6d02a35b118ff28edb3a4092dc0027532fd9a6879c67dcad24ad2352d2c2f

Observation b295cd7f-ca59-4ac1-9404-0bfae8b1fffb · outbound

This paper cites MUSE-FM: Multi-Task Environment-Aware Foundation Model for Wireless Communications,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations MUSE-FM: Multi-Task Environment-Aware Foundation Model for Wireless Communications,

Reference 5

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.096885Z digest=sha256:38bbacaa3e8761456cd7594804f573e4a0ac08b5cb313f025d6b018da2995983

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

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

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:36:19.100924Z digest=sha256:002455b3eef231e9a4abfe5ed7c52a7698ea22253972b54170daf50bd1153e9b

Observation d321fec0-721d-4524-bde6-ece521d1d593 · outbound

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

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations WiFo: Wireless Foundation Model for Channel Prediction,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.105541Z digest=sha256:d7caaa0987c947098656ea4bf4e0f9a74c11f4b7b40d462434fa8c082046fbaf

Observation db770a4b-55b9-4c92-9543-f584d9aa43d3 · outbound

This paper cites A multi-task foundation model for wireless channel representation using contrastive and masked autoencoder learning,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations A multi-task foundation model for wireless channel representation using contrastive and masked autoencoder learning,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.109351Z digest=sha256:0a7f26bcfd06de8c43d7d40f75ebf7f927314468e66a86c66d6db79f6f380745

Observation 6da7654a-6a0d-4f7b-bc71-f76125ce66c3 · outbound

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

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations A MIMO Wireless Channel Foundation Model via CIR-CSI Consistency

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:36:19.112966Z digest=sha256:c447822950e243f6ed922629ecba94bd335035c2472a73b9471472020b3ecc5a

Observation 113df6bf-babe-4e17-a755-7a316b4aca6b · outbound

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

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks

Reference 10

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source=pdf_text observed=2026-08-12T00:36:19.117104Z digest=sha256:ca7e6d69530363c4a3c1a94d8406f928493826dda6b6d64a01f6bc2a687fa002

Observation 2380261c-6a48-4ed6-b329-ab63596c161d · outbound

This paper cites Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models

Reference 11

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source=pdf_text observed=2026-08-12T00:36:19.121178Z digest=sha256:f61e5cae5392c9b62ba3e0110f93fad44e87447bd5c6825a4ef701c30710a27e

Observation 79281179-6cb6-4fa6-8029-0438453bd6dd · outbound

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

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G

Reference 12

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source=pdf_text observed=2026-08-12T00:36:19.125586Z digest=sha256:6baef06cb0e3e477d2ee0e76e575fa046ca3ff627adde7e47c357763e4e54469

Observation 89f75af3-cc17-4b67-8488-94157158ea39 · outbound

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

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations WiFo-CF: Wireless Foundation Model for CSI Feedback,

Reference 13

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raw_fallback, observed 2026-08-12T00:36:19.868132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.129672Z digest=sha256:a34d95066fa9880fba2a6cc5d26228e52add409704ba433237d41e9b69bcc5f6

Observation a4457426-7cd2-4697-87ef-d62297dbeb8e · outbound

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

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations WiFo-2: a generalist foundation model unifies heterogeneous wireless system design

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:36:19.133456Z digest=sha256:0efc4e8c2968b5bf0d1d6f83e9f70e19a6e78aba69815fc786688871200ea038

Observation ba441613-2d18-4dc1-9e16-0e884ba73604 · outbound

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

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM)

Reference 15

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source=pdf_text observed=2026-08-12T00:36:19.137829Z digest=sha256:1175670c989b2ae655401cb1b2e54b1c98c634abba995674b6b5bf17811fd8a5

Observation 8cf6d69a-bd6a-4dc8-a787-a896ca8b62ed · outbound

This paper cites Large wireless foundation models: Stronger over bigger,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Large wireless foundation models: Stronger over bigger,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:36:19.141747Z digest=sha256:12ada1fd91cab281f80e26704369ac37c23700b762c2e0ba4dffaf9a5b184cdc

Observation 2784b584-574e-4ced-840b-f9094179c559 · outbound

This paper cites Foundation Model Empowered Synesthesia of Machines (SoM): AI-Native Intelligent Multi-Modal Sensing-Communication Integration,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Foundation Model Empowered Synesthesia of Machines (SoM): AI-Native Intelligent Multi-Modal Sensing-Communication Integration,

Reference 17

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.145623Z digest=sha256:38d51b24ffdee9e56442f7e498d798e0de7a1a0fab29fa68053e570153db5514

Observation 0f773927-53b2-436b-8583-7e43697b7d5f · outbound

This paper cites Large Language Models for Wireless Communications: From Adaptation to Autonomy,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Large Language Models for Wireless Communications: From Adaptation to Autonomy,

Reference 18

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.149491Z digest=sha256:5545039462406af566ef8386f311005c1ac45e5f3ed6e349dfb4ab8d252343b3

Observation dfddd495-4c6e-41da-90b6-fc9ae6dd9813 · outbound

This paper cites Large AI Models for Wireless Physical Layer,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Large AI Models for Wireless Physical Layer,

Reference 19

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raw_fallback, observed 2026-08-12T00:36:19.830262Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.153277Z digest=sha256:8e7b1ff2a6d2ff80142b379eb35bf7eb25be750504e34b2010247001010245de

Observation d0b2122e-da76-4373-8161-145d03d65bc3 · outbound

This paper cites Implicit Neural Representations with Periodic Activation Functions,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Implicit Neural Representations with Periodic Activation Functions,

Reference 20

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.157837Z digest=sha256:775c7e511e34acd9994108d3f3f8c0492ae89af2071efc1c05469b425db6c32e

Observation add88154-2676-49af-a3cc-90b8fb175abf · outbound

This paper cites Nerf2: Neural radio- frequency radiance fields,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Nerf2: Neural radio- frequency radiance fields,

Reference 21

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.162085Z digest=sha256:a6857b32dcac9b7b60a6726947300e7bb9c0c47f483e4b09e7821512aa489e16

Observation 4e8abb28-281a-4044-b58e-3596b16b9198 · outbound

This paper cites MIMO Channel as a Neural Function: Implicit Neural Representations for Extreme CSI Compression in Massive MIMO Systems.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations MIMO Channel as a Neural Function: Implicit Neural Representations for Extreme CSI Compression in Massive MIMO Systems

Reference 22

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:36:19.166362Z digest=sha256:1f69cd574ac895f91d4d125339800f03ebb75c7685befe0a9bbc717a831ac276

Observation 5e4afe60-d5a9-49f9-9b82-009def1568a9 · outbound

This paper cites Unsupervised Online Channel Estimation for High-Mobility OFDM via Implicit Neural Representation.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Unsupervised Online Channel Estimation for High-Mobility OFDM via Implicit Neural Representation

Reference 23

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local_arxiv, observed 2026-08-12T00:36:19.363301Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.173000Z digest=sha256:0552ce82d87fd01f2abd88ecc9d6d6a168865ce1bc385c613fa1d1ecb7c618e3

Observation 45af55d4-0285-498e-95c0-cde2330b1d7b · outbound

This paper cites C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel Representation and Prediction,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel Representation and Prediction,

Reference 24

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raw_fallback, observed 2026-08-12T00:36:19.794463Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.178781Z digest=sha256:fb7a8e7732b83c988203129b2d045ac4f2f1eb39a1a39574686b60400b70b582

Observation 0a41e870-9745-4693-8616-f3b54ca80d25 · outbound

This paper cites Gener- alizable Implicit Neural Representations via Instance Pattern Composers,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Gener- alizable Implicit Neural Representations via Instance Pattern Composers,

Reference 25

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raw_fallback, observed 2026-08-12T00:36:19.781880Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.183148Z digest=sha256:45a6ea353c96c028ba9996643eea1a1b13bebf789e4dddd0553bb78557844f9f

Observation e045111e-3bdf-4b03-99ca-1a661065cecc · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains,

Reference 26

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.188670Z digest=sha256:4ad27b545bc626192d2ef2e747f1e4d89ad94d6283d50eeff96bdff7bc33efb6

Observation f57681ba-2023-4f4d-a514-2d6b484df0d0 · outbound

This paper cites QuaDRiGa: A 3-D Multi-Cell Channel Model With Time Evo- lution for Enabling Virtual Field Trials,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations QuaDRiGa: A 3-D Multi-Cell Channel Model With Time Evo- lution for Enabling Virtual Field Trials,

Reference 27

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raw_fallback, observed 2026-08-12T00:36:19.754196Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.195150Z digest=sha256:f50d0fffe9467e3651a809728202d8ff4e3a17034f18cc82161421e159ea510e

Observation 45cb5973-9868-4a42-ae98-2c0d43fba97b · outbound

This paper cites Sionna RT: Technical Report,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Sionna RT: Technical Report,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:36:19.200070Z digest=sha256:223d5bcbaddca8b415729d8a2f4d952e8651c9c423a5f0698250129445930bb3

Observation 75986223-4e0a-4439-a745-74a73344c848 · outbound

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

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.204198Z digest=sha256:bc0cde0696eead240cf6b56dcb44ab8718c02d9ebc2e051cf32d9d7ec66ef157

Observation 73ddd833-df1c-460d-b923-e6faf69bed44 · outbound

This paper cites Accurate Channel Prediction Based on Transformer: Making Mobility Negligible,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Accurate Channel Prediction Based on Transformer: Making Mobility Negligible,

Reference 30

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raw_fallback, observed 2026-08-12T00:36:19.729387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.208174Z digest=sha256:37ead0e87ba53bfe63a257d447aab8a1d836cc5a6e1496437b500a6b866777bc

Observation 3a8ad027-bf3f-4d2f-80f3-51296fe2cf87 · outbound

This paper cites Channelformer: Attention-Based Neural Solution for Wireless Channel Estimation and Effective Online Training,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Channelformer: Attention-Based Neural Solution for Wireless Channel Estimation and Effective Online Training,

Reference 31

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raw_fallback, observed 2026-08-12T00:36:19.715990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.212013Z digest=sha256:b57eeca9437a9373bae85df07572f8be1d0c6650fd9a6435c981746a946b03e9

Observation 1a658e4f-7a48-4eb4-8ef1-8b98ec20cabf · outbound

This paper cites Deep Learning for Massive MIMO CSI Feedback,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Deep Learning for Massive MIMO CSI Feedback,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.216033Z digest=sha256:06e2df58e9f4e9027737d4b17b34e9ae081a1c60d77991cb2d48f506bf23e03e

Observation 47723f48-a88c-4599-a771-9f8eae1e3cca · outbound

This paper cites TransNet: Full Attention Network for CSI Feedback in FDD Massive MIMO System,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations TransNet: Full Attention Network for CSI Feedback in FDD Massive MIMO System,

Reference 33

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raw_fallback, observed 2026-08-12T00:36:19.689179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.222787Z digest=sha256:37d387674b278d6fb058b78c98edd4c527b62885c10e733e14b3e148f8919397

Observation 52be9169-cee2-4ab7-99c1-b6257cebfd6d · outbound

This paper cites Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:36:19.674211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.228627Z digest=sha256:c4cd740dd26107f51bb6aa166474fdb39072db11c082f30d39442ef79a19dd74

Observation c8addcae-b8b6-4ed1-9b66-22f8c5052239 · outbound

This paper cites Attention Aided CSI Wireless Localization,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Attention Aided CSI Wireless Localization,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:36:19.661288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.233166Z digest=sha256:6ecb812c7cb56b610c5fec14cb0dc19131a0353b7991508d6aeef527aa17f4e4

Observation d8002cc6-8be3-411a-b526-3146f8ac4869 · outbound

This paper cites Channel State Iden- tification in Complex Indoor Environments With ST-CNN and Transfer Learning,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations Channel State Iden- tification in Complex Indoor Environments With ST-CNN and Transfer Learning,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:36:19.648596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.237974Z digest=sha256:e2a09bbe6cd918f277cee7b30e0146d96a06a36da495276248c4383a6ab5025c

Observation c74e2762-2260-45bc-b37f-be2a513c0f87 · outbound

This paper cites LLM4WM: Adapting LLM for Wireless Multi-Tasking,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations LLM4WM: Adapting LLM for Wireless Multi-Tasking,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:36:19.635470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.242799Z digest=sha256:7778bfdb86f61517d32d5a949c41b33a17d1bf11ebbd93f740033c819978d86f

Observation 857181b1-f660-4cee-b05f-7df64b09e913 · outbound

This paper cites LLM4CP: Adapting Large Language Models for Channel Prediction,.

WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations LLM4CP: Adapting Large Language Models for Channel Prediction,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:36:19.620849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T00:36:19.247266Z digest=sha256:06558ca9c98b84c08ce00ff65d2974f45285e1238d84b9f1ee7c1cc7d57b881a

Pith citing papers

No inbound Pith citation observations are available.