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Paper Citation Record · LEDGER

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning

As of 19 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2606.05993.

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

pith.paper-citation-record.v1
2606.05993 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:39:05.594223Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 89cf039d-86c6-47c5-865e-83862f4826e0 · outbound

This paper cites The double-directional radio channel,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning The double-directional radio channel,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1e4e2398-d918-4137-9981-6cb3db7b182b · outbound

This paper cites Double directional wireless channel generation: A statistics-informed generative approach,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Double directional wireless channel generation: A statistics-informed generative approach,

Reference 2

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source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:9843d324256b3ba21fbcee1896775630fa1848164b19e605194a9f408277e612

Observation 0880255b-8baf-49d5-b37d-5066934190f1 · outbound

This paper cites High-accuracy predictive channel modeling for 6g wireless communications with an improved diffusion-driven learning framework,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning High-accuracy predictive channel modeling for 6g wireless communications with an improved diffusion-driven learning framework,

Reference 3

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Observation dc9a5842-a585-4672-b207-80aac796ead3 · outbound

This paper cites Generative- adversarial-network-based wireless channel modeling: Challenges and opportunities,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Generative- adversarial-network-based wireless channel modeling: Challenges and opportunities,

Reference 4

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source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:e0368e3c27793f9ba61f65f1dd5da92ac793485f0de3aaa5e5b6d68f4ebc18c1

Observation 17ff0450-ebd9-407c-b9ce-28f5ecd1c641 · outbound

This paper cites Double-directional wireless channel generation using statistics- informed machine learning,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Double-directional wireless channel generation using statistics- informed machine learning,

Reference 5

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source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:7e9c26a1987445518fa588e18ff8606ccf56f836d88e5e314b400c1cce5a3020

Observation 123718f0-6757-44e0-8a3d-6d235c148ab9 · outbound

This paper cites Generative vs. predictive models in massive mimo channel prediction,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Generative vs. predictive models in massive mimo channel prediction,

Reference 6

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Observation 0e20a1be-fef9-42e4-84e8-2bace56f0f12 · outbound

This paper cites Trans- former network based channel prediction for csi feedback enhancement in ai-native air interface,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Trans- former network based channel prediction for csi feedback enhancement in ai-native air interface,

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:2180672b1f49dd40bfba1dc4a47d7de8a271b5ce33cebb45bb84c0992fdae287

Observation 702a562f-888e-4634-8835-d67846cb7641 · outbound

This paper cites Attention is all you need,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Attention is all you need,

Reference 8

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source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:f9632624f4634c36bb815d5e4bd010f14b2c445e82e0bd8e1d058fce31ad54bc

Observation 00a83c51-160a-4cee-9d56-542a93d30b5b · outbound

This paper cites Cross- shaped separated spatial-temporal unet transformer for accurate channel prediction,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Cross- shaped separated spatial-temporal unet transformer for accurate channel prediction,

Reference 9

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source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:88b2c9e77be8bfea5a6d4b9aba5507e2befb7d49591f93fe7a7b3fa11139f755

Observation d744b8d1-e239-40dc-9bb0-8f4bc4386bba · outbound

This paper cites Generative-artificial- intelligence-based wireless channel modeling: Challenges and oppor- tunities,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Generative-artificial- intelligence-based wireless channel modeling: Challenges and oppor- tunities,

Reference 10

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source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:87c185e0de795d5a97457c5174fd01e428da46774afb739f040996a70dd00988

Observation 4dde34c0-8a01-4c7a-bcbd-ba4022d801e4 · outbound

This paper cites Generative adversarial nets,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Generative adversarial nets,

Reference 11

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Observation 9d13ea79-608b-47a2-b955-392cbfd69628 · outbound

This paper cites Generative network-based channel modeling and generation for air- to-ground communication scenarios,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Generative network-based channel modeling and generation for air- to-ground communication scenarios,

Reference 12

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Observation f8e7f595-9a1a-4c39-b2d6-1c7fc48ffb3b · outbound

This paper cites Scinet: Time series modeling and forecasting with sample convolution and interaction,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Scinet: Time series modeling and forecasting with sample convolution and interaction,

Reference 13

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Observation eeca7b0f-463f-468d-a4b2-a3f71f83a193 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 14

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verified exact
local_arxiv, observed 2026-07-02T15:47:05.886095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:c04518b5c48187fd194477eb686b182697341df54321d8af3344b7dca122dd78

Observation 09979d8e-ef39-4e7f-9310-0a31738be535 · outbound

This paper cites Graph neural networks for wireless communications: From theory to practice,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Graph neural networks for wireless communications: From theory to practice,

Reference 15

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source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:6e1d35359539610ac76f3bec9f4c1979326a845746efb64399280e59248831ae

Observation a82923fb-900b-4622-b672-c5111afb137e · outbound

This paper cites A comprehensive survey on graph neural networks,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning A comprehensive survey on graph neural networks,

Reference 16

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source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:6657c2a914ea60f7fc9d7f09e8cd2f300d03567520399ee84a3a90067da720dd

Observation 882cdb87-64b5-4540-8e62-783457be43ba · outbound

This paper cites TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting

Reference 17

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metadata mismatch
arxiv_id, observed 2026-07-02T15:47:05.883730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:97b884319767da01029243d75c033dc1bdfe76f2dbf6984d9307490a03b36a04

Observation 9e8554bc-e2d1-46db-bd35-44f3f6e9859d · outbound

This paper cites an unresolved cited work.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Unresolved cited work

Reference 18

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source=pdf_text observed=2026-06-27T23:39:05.594223Z digest=sha256:d37a6c062052767ef673b64219ee3b47d56520a67c7998d4c0a936437e9d13f0

Observation 441ac896-0d9e-4fbf-9b7f-94c1f91de363 · outbound

This paper cites First-and second-order characterization of direction dispersion and space selectivity in the radio channel,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning First-and second-order characterization of direction dispersion and space selectivity in the radio channel,

Reference 19

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Observation 74683fc9-f2d1-4128-a42f-bb96b781b872 · outbound

This paper cites Introduction to machine learning: k-nearest neighbors,.

Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning Introduction to machine learning: k-nearest neighbors,

Reference 20

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Pith citing papers

No inbound Pith citation observations are available.