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Paper Citation Record · LEDGER

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2608.05076.

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

pith.paper-citation-record.v1
2608.05076 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:58:27.212396Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

43 of 43 outbound references displayed

  • verified exact4
  • verified fuzzy20
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation af53495a-7679-4ae0-953a-7f85c9ebc944 · outbound

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

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation On the Opportunities and Risks of Foundation Models

Reference 1

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source=pdf_text observed=2026-08-06T05:58:20.969288Z digest=sha256:99209f76c16bc6406e3a7ed1e72060ca3e37743acc04669f13214dbb70c4b8d8

Observation 602fd149-3e26-4417-b31e-a65193d2db6d · outbound

This paper cites Language mod- els are few-shot learners,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Language mod- els are few-shot learners,

Reference 2

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source=pdf_text observed=2026-08-06T05:58:21.130486Z digest=sha256:72e3e5c756ad05025509740d0fa7ce369dd6b7fa9348dbc27700e6cffe97e952

Observation d6553096-a0fa-4bbd-8a45-cec2d1ce0a41 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 3

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source=pdf_text observed=2026-08-06T05:58:21.348769Z digest=sha256:1dce8a7b9fe556bbc8c64e0aeca52dadbc6feeb8c73ab00a3c7129567ca96d41

Observation 569e6545-5634-4a89-89cd-ef5dab263500 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Learning Transferable Visual Models From Natural Language Supervision

Reference 4

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source=pdf_text observed=2026-08-06T05:58:21.503433Z digest=sha256:51dbfe9b0a6c597f23de59682577f5f8b6ce434d25358d2382d78e5297725315

Observation bc8ef3eb-dcec-48b3-b8b1-75a30c23d33c · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Rt-2: Vision-language-action models transfer web knowledge to robotic control,

Reference 5

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source=pdf_text observed=2026-08-06T05:58:21.696940Z digest=sha256:9e92ebf2cc130bf247c7239a0c39f1ec743568c1444dd2207f62a5b5b9c85c63

Observation 04bcc717-3500-4f82-84b4-eedc9aab8c2d · outbound

This paper cites A Generalist Agent.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation A Generalist Agent

Reference 6

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source=pdf_text observed=2026-08-06T05:58:21.977342Z digest=sha256:44bff24b52379cc63bda543261bb70c4a23ed75bda4f4ec3c22f6faa46b92ec7

Observation 74293f6c-77c9-4bf1-a018-d3d6e2f367c7 · outbound

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

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 7

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source=pdf_text observed=2026-08-06T05:58:22.121902Z digest=sha256:562cef90ace1e0be9bccaca60ee5c5bbef17154f8d86d01d47d5ba9247b2001f

Observation d84ec87a-33fe-4e18-b59d-643984fe73ff · outbound

This paper cites Attention is all you need,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Attention is all you need,

Reference 8

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source=pdf_text observed=2026-08-06T05:58:22.263476Z digest=sha256:21321cb5e075f961ef695a1e66301d987db567356cf7d6d86ba60edcd11d1786

Observation b15bf915-db33-4071-bc77-efe059feb930 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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source=pdf_text observed=2026-08-06T05:58:22.392237Z digest=sha256:4c035388eef394b4dbc0cfd820a217986dc64b73577f083e1477af6bac6823c4

Observation 83eb0c29-49b6-409b-80ac-2590491705b7 · outbound

This paper cites Wireless ai evolution: From statistical learners to electromagnetic-guided foundation models,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Wireless ai evolution: From statistical learners to electromagnetic-guided foundation models,

Reference 10

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source=pdf_text observed=2026-08-06T05:58:22.558394Z digest=sha256:b426ff53a713dc707c2243a3b7c524cfad78f4c84507d10cb5f43d7ae117ec3d

Observation d0c7ecb5-24d4-4bf6-98b8-81853b18c1ab · outbound

This paper cites Millimeter wave mobile communications for 5g cellular: It will work!.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Millimeter wave mobile communications for 5g cellular: It will work!

Reference 11

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source=pdf_text observed=2026-08-06T05:58:22.694764Z digest=sha256:ddbc3e5932dab79d28ad755fd2fcd0fcb036430dee8dae96d3fdd6d2fca9a00b

Observation 079b89d4-06f5-4d39-893d-e311244cef6a · outbound

This paper cites Wide- band millimeter-wave propagation measurements and channel models for future wireless communication system design,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Wide- band millimeter-wave propagation measurements and channel models for future wireless communication system design,

Reference 12

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source=pdf_text observed=2026-08-06T05:58:22.932091Z digest=sha256:87e0649e763657876c037b27a1374279dd70a992f0cdf5bd76019f92a3cf9110

Observation 845b1a37-eac2-45cc-808e-d3e5dc9d6817 · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 ghz (release 14),.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Study on channel model for frequencies from 0.5 to 100 ghz (release 14),

Reference 13

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source=pdf_text observed=2026-08-06T05:58:23.105303Z digest=sha256:bdfc08f1ed6798f38d9fa77341aa9c93d5be1a600f8accd78b9c983840e3b7fc

Observation e4e54090-9d21-4eac-a67d-48a9295cbe7b · outbound

This paper cites Scalable pre-trained large channel models for wireless communication systems,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Scalable pre-trained large channel models for wireless communication systems,

Reference 14

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source=pdf_text observed=2026-08-06T05:58:23.248178Z digest=sha256:e0804fdde3e4a67a9f287626a90c6a9508f5c00246b86a29726abae734b53913

Observation 9603e025-1b5b-4f1a-827b-d3df41df9a68 · outbound

This paper cites Large ai models for wireless physical layer,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Large ai models for wireless physical layer,

Reference 15

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source=pdf_text observed=2026-08-06T05:58:23.373418Z digest=sha256:b4bca8ff39e320de9f9628192586600cd1cb2dfb0c2cbd9a84cd7ee41df4c8ab

Observation 46085d84-adc7-4a02-8d1e-adce371d6d10 · outbound

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

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Wifo: Wireless foundation model for channel prediction,

Reference 16

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source=pdf_text observed=2026-08-06T05:58:23.592155Z digest=sha256:11c2bf6bebbb1000c3ff5ee25c008c2898cd0d30eebb8ccbc862b3ccf8109f82

Observation f9ed9a70-9712-497f-a482-5f9c3890e55b · outbound

This paper cites ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence

Reference 17

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source=pdf_text observed=2026-08-06T05:58:23.776847Z digest=sha256:f7a9d9a9218b64c10ec1afb2cb5d06fe5028410a736554b07f691115119297ab

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

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

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

Reference 18

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source=pdf_text observed=2026-08-06T05:58:23.978195Z digest=sha256:55e6f6f56a05a4b18fa13064628d07e4d87b34ea86c7e3e902bccaba6ba0e626

Observation 0ba6199d-d6c9-402b-9f90-8afe13ebe33f · outbound

This paper cites Wirelessgpt: A generative pre-trained multi-task learning framework for wireless communication,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Wirelessgpt: A generative pre-trained multi-task learning framework for wireless communication,

Reference 19

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source=pdf_text observed=2026-08-06T05:58:24.124067Z digest=sha256:80f621650d1fe4bf6bcaeba7f539c98cd0c6912fda71f9443ef9ac6f3517e2d3

Observation 68f82707-8328-45fd-8d14-be840a3444a1 · outbound

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

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Towards channel foundation models (CFMs): Motivations, methodologies and opportunities

Reference 20

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source=pdf_text observed=2026-08-06T05:58:24.220697Z digest=sha256:055566328a752100a6dc2d9a006eba03382f19b2681b36b4e30ae37c4ff31928

Observation 174427f4-2bce-42bb-8793-25c1df19909d · outbound

This paper cites Available: https://www.openstreetmap.org/#map=5/38.01/-95.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Available: https://www.openstreetmap.org/#map=5/38.01/-95

Reference 21

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source=pdf_text observed=2026-08-06T05:58:24.426067Z digest=sha256:bebfee833ad1182f10e9873363221cb74a048b0138d949ac55a2063e7f4d47ce

Observation ffde232b-cec4-475f-a754-82226da19f9d · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Masked Autoencoders Are Scalable Vision Learners

Reference 22

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source=pdf_text observed=2026-08-06T05:58:24.577186Z digest=sha256:b5a45bb7a62b5d2dc69dee67b8671c4076bb7ea68966e87510d5934bf765266a

Observation 405c13b7-b71c-4c13-854d-d7929abaa298 · outbound

This paper cites Robust channel representation for wireless: A multi-task masked contrastive approach,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Robust channel representation for wireless: A multi-task masked contrastive approach,

Reference 23

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source=pdf_text observed=2026-08-06T05:58:24.802790Z digest=sha256:b2a20f3c814275306fad405c63f3469be35a7d0e9ed63dbfc6c6af1534879776

Observation 214a38ab-36b9-4241-9b62-544917a52b14 · outbound

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

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation SPA-MAE: A Physics-Guided CSI Foundation Model for Wireless Physical Layer

Reference 24

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local_arxiv, observed 2026-08-06T05:58:28.118919Z

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source=pdf_text observed=2026-08-06T05:58:24.942948Z digest=sha256:4c484d54763dff64e37d4308142d82c13e49abc13ec0487997d56acee266918d

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

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

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

Reference 25

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source=pdf_text observed=2026-08-06T05:58:25.149378Z digest=sha256:4f8578d08b4af8e5f01b08c0df928d77fe5f87b53f1e0eb832be4403b72d8d12

Observation 027ba789-43de-4e98-82cf-5f9f76dc870a · outbound

This paper cites Towards a wireless physical- layer foundation model: Challenges and strategies,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Towards a wireless physical- layer foundation model: Challenges and strategies,

Reference 26

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source=pdf_text observed=2026-08-06T05:58:25.262530Z digest=sha256:366d6edce64c3f33a3cfb55c039c642488a9f1649b8b9949bd2a08f783425a85

Observation cfcae520-399a-4ec8-af2d-56bd14d23d32 · outbound

This paper cites Multi-modal data-enhanced foundation models for prediction and control in wireless networks: A survey,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Multi-modal data-enhanced foundation models for prediction and control in wireless networks: A survey,

Reference 27

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source=pdf_text observed=2026-08-06T05:58:25.359554Z digest=sha256:44caac2716f10f32dddbd6c3453ad7462d0c55ff7206f53792ce20640846617f

Observation 69f5e4c7-07ce-4b03-bba6-f03bb685c2ef · outbound

This paper cites Wico-mg: Wireless channel foundation model for multipath generation via synesthesia of machines,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Wico-mg: Wireless channel foundation model for multipath generation via synesthesia of machines,

Reference 28

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source=pdf_text observed=2026-08-06T05:58:25.470554Z digest=sha256:1e3dc8d31c173af348c2771576b897529461b5352d5a5a5347ef1db304d798ef

Observation bbe2b77a-09ec-4253-907a-cf1ee0916ab2 · outbound

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

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Deep learning for mmwave beam and blockage prediction using sub-6 ghz channels,

Reference 29

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source=pdf_text observed=2026-08-06T05:58:25.586780Z digest=sha256:d210f663f000bc1d7fccf95e04bee6b2fc74ec9c70afe2c5dd3fc19831027caa

Observation 700a68c4-16dd-4807-a186-d8794f55c5a2 · outbound

This paper cites Deep learning coordinated beamforming for highly-mobile millimeter wave systems,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Deep learning coordinated beamforming for highly-mobile millimeter wave systems,

Reference 30

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source=pdf_text observed=2026-08-06T05:58:25.771144Z digest=sha256:8c0114c4dc15a2837ca10006a15e0e756872c5a20ea396a884f863e81e719dc2

Observation b1838a92-5b52-4cf8-9e28-b29db90b8563 · outbound

This paper cites Auto-CsiNet: Scenario-customized Automatic Neural Network Architecture Generation for Massive MIMO CSI Feedback.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Auto-CsiNet: Scenario-customized Automatic Neural Network Architecture Generation for Massive MIMO CSI Feedback

Reference 31

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local_arxiv, observed 2026-08-06T05:58:27.647608Z

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source=pdf_text observed=2026-08-06T05:58:25.853941Z digest=sha256:a4bc81a0c5fcdd002a62bdc9a68e0350fce2b446814658402ace88b6c285efa0

Observation f55072b1-475e-433d-9659-a2df431a7be0 · outbound

This paper cites Deep Learning-Based Channel Estimation.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Deep Learning-Based Channel Estimation

Reference 32

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local_arxiv, observed 2026-08-06T05:58:27.464144Z

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source=pdf_text observed=2026-08-06T05:58:25.959920Z digest=sha256:98178d02eb76e27ef89df7bb067edf6a3eb2f4b056e07f81ee200ef1cef1d344

Observation 7c83ded0-ecc7-4085-9ba2-d3a89394d171 · outbound

This paper cites Deep learning-based channel estimation for beamspace mmwave massive mimo systems,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Deep learning-based channel estimation for beamspace mmwave massive mimo systems,

Reference 33

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source=pdf_text observed=2026-08-06T05:58:26.075870Z digest=sha256:5e111eb49dfc1f35845b06704119fd837d67870a7427896a1d7008df2377af15

Observation 174027c5-b77f-41c0-b77c-3744499232de · outbound

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

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Reference 34

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source=pdf_text observed=2026-08-06T05:58:26.214059Z digest=sha256:e0f4452c2c55a630dc2a2dfcd7a6523ba63fcaf731400eee2075ad9f8279d090

Observation 4bcd524a-cbae-44f6-af60-0e7a9ec0ecca · outbound

This paper cites Trocr: Transformer-based optical character recognition with pre-trained models,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Trocr: Transformer-based optical character recognition with pre-trained models,

Reference 35

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raw_fallback, observed 2026-08-06T05:58:29.155959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:58:26.341196Z digest=sha256:226be75b9fa8053bc366961f6b8611f5205a1dfda3edf104e1d8549857e5000b

Observation 5e32ca03-12e6-47c0-9c82-2171e6c2b841 · outbound

This paper cites 3d urban outdoor wifi 7 network planning and analysis using ray-tracing and machine learning: Transformer-based surrogate modeling for high-resolution digital twin,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation 3d urban outdoor wifi 7 network planning and analysis using ray-tracing and machine learning: Transformer-based surrogate modeling for high-resolution digital twin,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:58:29.015348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:58:26.549706Z digest=sha256:6839842a15f1282fda36dedf74bb946f8e857bd686a3e6e414ba906303db1a40

Observation 2222e0ec-f004-48c3-b1ef-9832f682ab20 · outbound

This paper cites Wireless communications–principles and practice, (the book end).

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Wireless communications–principles and practice, (the book end)

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:58:28.703940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:58:26.749100Z digest=sha256:ba1cb909ad7ef8390fd20c4fdb8302d79dcc5bc25f338ee1a5144d21e148dd08

Observation e8889c99-fafd-454d-b08a-a351b21488ec · outbound

This paper cites Sionna: An Open-Source Library for Next-Generation Physical Layer Research.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T05:58:26.825810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:58:26.825810Z digest=sha256:e651e0ff850f9148cb5b9b221ca78b61cb66e7095ddeeb6376526f305a48c267

Observation 33500f39-2647-4d94-9023-60f2f5b66482 · outbound

This paper cites Wireless em propagation software.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Wireless em propagation software

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:58:28.521026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:58:26.932151Z digest=sha256:a22db2da92b248300eab37bdeb64aaac8b82d34832a241f799ed40279e221250

Observation ced81551-921b-4904-aa99-1eb08404c2fd · outbound

This paper cites Omniverse digital twin — aerial omniverse digital twin.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Omniverse digital twin — aerial omniverse digital twin

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:58:28.359171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:58:27.057181Z digest=sha256:c5eab80cc368b04d4054bba3e3e15b6925cc1ec94e7dbda1e2eaf6402b9eb6f0

Observation d56a60ad-8195-4c6f-b03f-0753f91d8391 · outbound

This paper cites Deep learning for fading channel prediction,.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Deep learning for fading channel prediction,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T05:58:27.212396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:58:27.212396Z digest=sha256:4bf0b93674c27207db77997e947d6a649a7662769d25a0b3ea0bbf422d989dd7

Observation 6bcec453-b4cc-475c-8063-b6286b64c28c · outbound

This paper cites 2165–2183.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation 2165–2183

Reference 229

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:58:31.218379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:58:21.844190Z digest=sha256:0996e2bee4ecaaedf23be28319d186ca97e939e5cdca835a3958a736916a3c2c

Observation 5eadfeb9-4892-498c-b29e-d13730a06154 · outbound

This paper cites Available: https://www.mdpi.com/1424-8220/26/7/2223.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation Available: https://www.mdpi.com/1424-8220/26/7/2223

Reference 2026

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:58:28.834220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:58:26.669865Z digest=sha256:93f5d091e7b363e22638142c567ce45dfb7b721041fbf0597588addbfe06754e

Pith citing papers

No inbound Pith citation observations are available.