Paper Citation Record · LEDGER

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel

As of 13 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2411.15589.

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

pith.paper-citation-record.v1
2411.15589 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:12:45.398187Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

12 of 12 outbound references displayed

verified exact1
verified fuzzy6
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b198fa23-4dce-4dce-bfd9-bec6ec06d5b9 · outbound

This paper cites Millimeter-wave and Terahertz Spectrum for 6G Wireless.

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel Millimeter-wave and Terahertz Spectrum for 6G Wireless

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:12:45.461592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8efb9dd5-7ff0-4422-a96a-b045b2d8b548 · outbound

This paper cites An overview of signal processing techniques for millimeter wave MIMO systems,.

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel An overview of signal processing techniques for millimeter wave MIMO systems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:12:45.356805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37ef9658-6c41-4560-9971-936846135eb8 · outbound

This paper cites An overview of signal processing techniques for terahertz communications,.

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel An overview of signal processing techniques for terahertz communications,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:12:45.361337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7224613-9618-4d43-b0dc-feb642bcee02 · outbound

This paper cites Deep-learning- based millimeter-wave massive MIMO for hybrid precoding,.

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel Deep-learning- based millimeter-wave massive MIMO for hybrid precoding,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.548356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55850f43-c744-4399-83be-98d461975bcc · outbound

This paper cites Channel state information prediction for 5G wireless communications: A deep learning approach,.

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel Channel state information prediction for 5G wireless communications: A deep learning approach,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.536139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a9286749-5ba3-4a0b-83cb-9a7a9e8a64fb · outbound

This paper cites Compressive sensing for indoor THz channel estimation,.

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel Compressive sensing for indoor THz channel estimation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.522840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c9b8e75-b677-4202-af4c-7d2da4e4100c · outbound

This paper cites Estimation of wideband dynamic mmwave and THz channels for 5G systems and beyond,.

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel Estimation of wideband dynamic mmwave and THz channels for 5G systems and beyond,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.509890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a73a730e-1451-49b3-aabd-2c51b78ef600 · outbound

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

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:12:45.382935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a423e0-90cf-4ef6-843f-dcf79e120a7e · outbound

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

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel Deep learning coordinated beamforming for highly-mobile millimeter wave systems,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:12:45.386892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63255e0e-6fac-451c-aa7b-4c2bc6517508 · outbound

This paper cites ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions.

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:12:45.390576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef7d2130-617e-40a3-a504-7c5207f7bd69 · outbound

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

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel Deep learning for mmwave beam and blockage prediction using sub-6 Ghz channels,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.488769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4ff8e16b-f4f6-45d4-9180-18e3b263d598 · outbound

This paper cites Deep learning for TDD and FDD massive MIMO: Mapping channels in space and frequency,.

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel Deep learning for TDD and FDD massive MIMO: Mapping channels in space and frequency,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:12:45.475987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.