Paper Citation Record · LEDGER

Deep Neural Network Symbol Detection for Millimeter Wave Communications

As of 7 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:1907.11294.

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

pith.paper-citation-record.v1
1907.11294 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T15:46:59.992223Z

measured 17 of 17 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

17 of 17 outbound references displayed

verified exact1
verified fuzzy15
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06df9469-2cb7-4c25-8375-83c597917fbd · outbound

This paper cites Millimeter Wave mobile communications for 5G cellular: it will work!.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Millimeter Wave mobile communications for 5G cellular: it will work!

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.315964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d2fae8a-bb25-47a4-9a82-fc154c0c59f7 · outbound

This paper cites Millimeter wave channel modeling and cellular capacity evaluation.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Millimeter wave channel modeling and cellular capacity evaluation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.320474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdc133ae-a916-482d-8dfb-7e58c8b6268a · outbound

This paper cites An introduction to deep learning for the physical layer.

Deep Neural Network Symbol Detection for Millimeter Wave Communications An introduction to deep learning for the physical layer

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.308383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fea33a13-9a9c-407d-b063-c871c30af0c1 · outbound

This paper cites Deep learning for intelligent wireless networks: A comprehensive survey.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Deep learning for intelligent wireless networks: A comprehensive survey

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.361258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c581de4-b88b-4e87-82a2-e0a8613d4b12 · outbound

This paper cites A very brief introduction to machine learning with appli- cations to communication systems.

Deep Neural Network Symbol Detection for Millimeter Wave Communications A very brief introduction to machine learning with appli- cations to communication systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.366394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf0ea5e8-fae2-485d-8294-1f85fcf1f3d2 · outbound

This paper cites Learning to decode linear codes using deep learning.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Learning to decode linear codes using deep learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.348336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 564c0085-0ee2-4c01-8607-7cdb802b7bd0 · outbound

This paper cites Learning to communicate: Channel auto-encoders, domain speciﬁc regularizers, and attention.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Learning to communicate: Channel auto-encoders, domain speciﬁc regularizers, and attention

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.352016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c73a7fc9-77bf-43c9-9c1b-bd0126dd6867 · outbound

This paper cites ViterbiNet: Symbol detection using a deep learning based Viterbi algorithm.

Deep Neural Network Symbol Detection for Millimeter Wave Communications ViterbiNet: Symbol detection using a deep learning based Viterbi algorithm

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.356642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0dedb531-eb16-472c-b796-65fd4c345c45 · outbound

This paper cites Neural network detection of data sequences in communication systems.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Neural network detection of data sequences in communication systems

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.340811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45d4e130-dcce-4c1c-a3da-37cca6ad08d0 · outbound

This paper cites Predicting wireless mmWave massive MIMO channel characteristics using machine learning algo- rithms.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Predicting wireless mmWave massive MIMO channel characteristics using machine learning algo- rithms

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.344821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fff5532c-c7fa-4a34-9967-22884c23eb1c · outbound

This paper cites Deep-Learning-based Millimeter-Wave Massive MIMO for Hybrid Precoding.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Deep-Learning-based Millimeter-Wave Massive MIMO for Hybrid Precoding

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-24T15:49:39.786789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1f6a0bd2-8c19-4eb1-aa45-f7d99461bf22 · outbound

This paper cites Deep learning-based beam management and interference coordination in dense mmWave networks.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Deep learning-based beam management and interference coordination in dense mmWave networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.376526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4a8c46c-319f-4141-a2a5-bfa1fb06a3cc · outbound

This paper cites Noncooperative cellular wireless with unlimited numbers of base station antenna.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Noncooperative cellular wireless with unlimited numbers of base station antenna

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.334332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 060e96c7-ed8c-448e-b617-5308e89a0767 · outbound

This paper cites an unresolved cited work.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-24T15:49:41.330613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ac3a4c2-ed16-4851-b6bf-b2f144f81d0a · outbound

This paper cites 3-D millimeter-wave statistical channel model for 5G wireless system design.

Deep Neural Network Symbol Detection for Millimeter Wave Communications 3-D millimeter-wave statistical channel model for 5G wireless system design

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.372570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31a6fe47-c526-4cd3-91ec-308c5b6b2868 · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 GHz simulations.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Study on channel model for frequencies from 0.5 to 100 GHz simulations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.380853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31e2c275-9c97-451c-819f-4605b6cc43e8 · outbound

This paper cites Efﬁcient Viterbi beam search algorithm using dynamic pruning.

Deep Neural Network Symbol Detection for Millimeter Wave Communications Efﬁcient Viterbi beam search algorithm using dynamic pruning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T15:49:41.325071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.