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Paper Citation Record · LEDGER

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation

As of 8 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 2026-08-08T06:32:00.761636+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

No source-named external measurement is stored.

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=sha256:9c0ea01ce0b70525f4c0ae26ad1af8c846c8b5efa350f4cc630b7aadcf92b26f

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=sha256:8f815da95cb7dc3e76157a8acb7477eced020aa57c0d194b0d295819ca31391d

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:c5745a9e3a65540f0c5613046c3353763bc48ec8aee3bfe158b9bcbda03d5197

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=sha256:42b77870c67bd308e260419cd53360109fc255e7ab9f3ff64968f196b498b189

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:babb933f072b9851fc31715748563d2522da8c08eeddecf72bc5c8694545dbfb

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=sha256:516b7cb1afb49ac97d1450b946f65c140956acec0df1ef0a3a7ad413c788de4f

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=sha256:122c4f78ff80d92293ab76023b4f4c6ccf34a9d310f91ffc46675a19aafce5b3

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=sha256:8e7853cc30cd7c0d90e09e14c62034826c689f9036596cd681a5129693d8c727

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=sha256:5e2ce36b680e5ea391e0f017ff930fa1960b9f586fc6d4c133c1dd2207f3d335

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:58:22.558394Z digest=sha256:0cb94b220f187a4bf3a3de631c35bcc96842023715796238c6db56ec32f0922e

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:ca0486e4c3c17cb6d457f3568f7d22c279f669220393a800071f5fef09d2c69c

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:fa293ef06f06decfa01ee3e018cba51c6818716edd3adfb543769ed03d438b7e

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=sha256:5be52b68a12a6969ed995c1f9e7dd1a84ef99f69d05ca3e806b22146ef00ff96

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=sha256:449dfd66769e68fdc8f750e984fdad2a547f14ec9ef87b6c639d049443be1465

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=sha256:38e3724acc9db285ad0e7af96baa7d6f34fa670e41e8996c091325c3b3e186d9

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=sha256:7e362b8266c073c490e3f8d12aad7c388ee3ad6f39e06b5c9040798ccc51a9ec

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=sha256:8666ef116faddd9dc2a70f2890f55174be321d72a68521f6f9a1124b226e70a4

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=sha256:30d5ba7ac85ab11d1a1517a41137bccb961dff5c8d9d8be8c85b67b6e87e25c5

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=sha256:6a9836c28ac1cd3004d0cd61c48c8d7ee4d8b17b5192ceab7dd788d5a9d7def5

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=sha256:70df7f6f4638e1b5293f2b8759e9e3b89ed05b184ec8e57aa9b99b66a9912fe8

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:d84cffdf8e329a8c6d8a6701a8cd2b59791c7f6b57168bb9463da6e522e61643

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:a08983010b729aa477649adc21d8736fe21636569d8ce8d4b413fc480b9ed990

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=sha256:6707bf81add357628b37d97079adbc51c1804a025f75e56a1d4f5317bb96e00a

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=sha256:7e5ecfdeb92d053f0da5a8df0464f42758bcf5be20612a37601a575f6112004a

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=sha256:061cb5c401e055420faeade98083928fb7e7c5a8d4fef8970f05db6108e9c8b4

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:d22bc67161d007d0fd4f9df4145a646f979dabd9b95b26e54a06494ec51a107d

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=sha256:2fd7f94fdc52d32e3d115881936a7be63a229e6118f423cb45e2c1b9a8db29fd

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=sha256:38ad5c4350f576730ea93df85acb993a897550f171eb164cbce11f9b753e1d26

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:f2132618febca9fce509d7f0c8c2b8afa9e42ec0450981746f672d40282de93c

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=sha256:31400c92594c57b6e95889a9e3c25025ff54cae1060db92edc1ff75cfd296d2f

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=sha256:8349375b5896c3a62c256e4f3ceaaf72b97fbb79f003f0c3782d6798148f26e8

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=sha256:22b6fbedf998bb5c47b519760d114f10f6a570d7d6ed76063cb521d8e915a150

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=sha256:7b4c7bb326c4142845f591fedaee0a4b35407e3584d8ab2f5799f86bc939b18a

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:dbd262957c0c018c2082f03dab6f768d35f2ed4c02462f425bfadbf0ba5eff61

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:58:26.341196Z digest=sha256:c46d759e29b5f210c313563272b325bac44531c7bc56ffb7f8ddb11c1ba4c610

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:58:26.549706Z digest=sha256:29b3df96ad35db706580e09baa8f7df4125ae8cffd71450c7b4d70c2a80c2bd9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:58:26.749100Z digest=sha256:ae444c13971d26427baf1b3e7cd50c5ca3e045cba6dafeb6c8f848be4abb4a6f

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=sha256:3d70227bec1915f79fddeba9b7ca6fded0d8bcb3cef6042c13a15ca2ef696c71

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:58:26.932151Z digest=sha256:0e1b8e24da3c36b0c1e72bab59d6638ea9c3900f4d46b75f54e1850938f629ab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:58:27.057181Z digest=sha256:348aa65ef07210ee64cfa88bf484351af8137506b6650669334acedb05f75cc1

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:e7fa42bbe08856e8b50fee7ef2e64b4bf76c9851998951b554199eec458babc2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:58:21.844190Z digest=sha256:064ff1b14254cebf6e46032abd815833b8479010ea811c301d69269eca8e251d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:58:26.669865Z digest=sha256:e6b78a8563c6112c5a05bf0a4383190d1a80911084dd06778807e57692d3ca97

Pith citing papers

No inbound Pith citation observations are available.