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Paper Citation Record · LEDGER

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications

As of 7 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.27643.

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

pith.paper-citation-record.v1
2607.27643 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:13:28.699514Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

13 of 13 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6768bcaf-95db-421b-852b-519a61fde00e · outbound

This paper cites A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 60df3766-3f60-4796-999f-8f489ac2953f · outbound

This paper cites Near-field MIMO communications for 6G: Fundamentals, challenges, potentials, and future directions,.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications Near-field MIMO communications for 6G: Fundamentals, challenges, potentials, and future directions,

Reference 2

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Observation 8318ac26-0c56-4324-a122-74b8fe0406ba · outbound

This paper cites Near-field beam training for extremely large-scale MIMO based on deep learning,.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications Near-field beam training for extremely large-scale MIMO based on deep learning,

Reference 3

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no resolver link, observed 2026-08-01T04:13:27.644022Z

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source=pdf_text observed=2026-08-01T04:13:27.644022Z digest=sha256:4cd0bd9d8126927888e23390cbbe1fe9ed85445429e42ec1b94d5c088e8f8324

Observation 1502fac6-5033-4a0e-9905-868f13a84465 · outbound

This paper cites Integrated sensing and communications: Toward dual-functional wire- less networks for 6G and beyond,.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications Integrated sensing and communications: Toward dual-functional wire- less networks for 6G and beyond,

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:13:27.748889Z digest=sha256:9e388a3c337da53580fa1fd9a91efce14b26549e5e031dd1b0dc7c595922534e

Observation 2eefaf19-d1eb-4dc6-8a86-e5c8976b3ee3 · outbound

This paper cites Sensing- assisted high reliable communication: A Transformer-based beamform- ing approach,.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications Sensing- assisted high reliable communication: A Transformer-based beamform- ing approach,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:13:27.834956Z digest=sha256:e3764db756656ba450bc8c09f0efbfa3b5eb88b3c8e1c8137602c18e5e03c284

Observation 8d2bdf09-8364-403c-998d-a2f25064d2bb · outbound

This paper cites LiDAR aided future beam prediction in real-world millimeter wave V2I communications,.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications LiDAR aided future beam prediction in real-world millimeter wave V2I communications,

Reference 6

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source=pdf_text observed=2026-08-01T04:13:27.913143Z digest=sha256:8d619f6782fd58ce2efb20c766a4322c30ed4fda42086fe7bb153dcb3003cef2

Observation be738bd1-e15b-49cb-b42c-40f349b90225 · outbound

This paper cites Sensing-aided 6G drone communications: Real-world datasets and demonstration,.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications Sensing-aided 6G drone communications: Real-world datasets and demonstration,

Reference 7

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source=pdf_text observed=2026-08-01T04:13:28.037769Z digest=sha256:8217444961bdc0a8d801996ed9d7e116621a4ae38e84109bf0032f0e6744c1e0

Observation b433c128-99fd-4ffc-a675-9da8e8e16816 · outbound

This paper cites Radar-assisted predictive beamforming for vehicular links: Communication served by sensing,.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications Radar-assisted predictive beamforming for vehicular links: Communication served by sensing,

Reference 8

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source=pdf_text observed=2026-08-01T04:13:28.163161Z digest=sha256:1c32c86972ed7a25645d854c1bb064636340757517e00bfe65167b72c83c1a48

Observation 02cc882d-2875-40e9-a527-4b884a8737a6 · outbound

This paper cites Radar aided 6G beam prediction: Deep learning algorithms and real-world demonstration,.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications Radar aided 6G beam prediction: Deep learning algorithms and real-world demonstration,

Reference 9

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source=pdf_text observed=2026-08-01T04:13:28.269484Z digest=sha256:b2a4e91c43067a646a90d273b5ce12e332292e70586d05be398a58a4347b4bea

Observation a51fad7f-3dc5-4ad7-bbd9-2f8341c07790 · outbound

This paper cites Radar-aided beam prediction and tracking: Will it work in the real world?.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications Radar-aided beam prediction and tracking: Will it work in the real world?

Reference 10

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source=pdf_text observed=2026-08-01T04:13:28.388367Z digest=sha256:9cce925b58fb23424646bd696a2788bc7da04191fbdbf01d9b1c6662234f9bde

Observation b6852687-8be6-487a-a0be-cb9a1d2c9681 · outbound

This paper cites Passive radar at the roadside unit to configure millimeter wave vehicle-to-infrastructure links,.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications Passive radar at the roadside unit to configure millimeter wave vehicle-to-infrastructure links,

Reference 11

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source=pdf_text observed=2026-08-01T04:13:28.458129Z digest=sha256:65e6a12cc779ca02cfc83d42c36ea3fea8b186f0028760f91bed1956d9f5ae38

Observation bca82e68-e798-45fe-bcc4-7c6bdd9b91ab · outbound

This paper cites Deep learning- based link configuration for radar-aided multiuser mmwave vehicle-to- infrastructure communication,.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications Deep learning- based link configuration for radar-aided multiuser mmwave vehicle-to- infrastructure communication,

Reference 12

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Observation ec1e30fe-42e1-4cba-8672-8117dd565cc5 · outbound

This paper cites Multi-Modal Beam Prediction Challenge 2022: Towards Generalization.

Radar-Aided Near-Field Beam Prediction via Beam Map Learning for XL-MIMO V2I Communications Multi-Modal Beam Prediction Challenge 2022: Towards Generalization

Reference 13

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source=pdf_text observed=2026-08-01T04:13:28.699514Z digest=sha256:5c93d3c5331e8610917bb6973583328ea2e8a254dc5a234ef3fac5787c44b3c6

Pith citing papers

No inbound Pith citation observations are available.