Paper Citation Record · LEDGER

LIDAR Data for Deep Learning-Based mmWave Beam-Selection

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.07488.

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

pith.paper-citation-record.v1
1908.07488 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:24:16.724338Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0ca6552-fd0e-40eb-a83a-69c4a65bd26f · outbound

This paper cites Mil limeter-wave communication with out-of-band information ,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Mil limeter-wave communication with out-of-band information ,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:17.011093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 456c3b32-4af6-4f73-928d-b3f07e29cf18 · outbound

This paper cites Obstacle avoidance cell discovery using mm-waves dir ective antennas in 5G networks,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Obstacle avoidance cell discovery using mm-waves dir ective antennas in 5G networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.996719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 381deee8-491d-4f69-a0f1-7bffc6f27bad · outbound

This paper cites Context information based init ial cell search for millimeter wave 5G cellular networks,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Context information based init ial cell search for millimeter wave 5G cellular networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.983230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0231a5fd-bb7d-4680-9d82-bd342f794d81 · outbound

This paper cites Position-Aided mm-Wave Beam T raining Under NLOS Conditions,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Position-Aided mm-Wave Beam T raining Under NLOS Conditions,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.970929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3fec642d-35d3-43a2-88c6-7ce32dcdb798 · outbound

This paper cites Beam design for beam switching based millimeter wave vehicle-to- infrastructure communications,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Beam design for beam switching based millimeter wave vehicle-to- infrastructure communications,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.958546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bbe5e4eb-533a-4525-b716-9486bd843672 · outbound

This paper cites Mm -Wave on wheels: Practical 60 GHz vehicular communication without beam training,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Mm -Wave on wheels: Practical 60 GHz vehicular communication without beam training,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.946485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1aeff075-4471-4a26-8899-c6307723086a · outbound

This paper cites Inv erse Multipath Fingerprinting for Millimeter Wave V2I Beam Alignment,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Inv erse Multipath Fingerprinting for Millimeter Wave V2I Beam Alignment,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.933396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f7899105-9241-4d8c-b249-07e71a52c6f3 · outbound

This paper cites Millimeter-Wave V ehicular Communicat ion to Support Massive Automotive Sensing,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Millimeter-Wave V ehicular Communicat ion to Support Massive Automotive Sensing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.919501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71e5d6c8-eb7d-435c-80ba-d1f160c58756 · outbound

This paper cites Fast millimeter-wave beam trai ning with receive beamforming,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Fast millimeter-wave beam trai ning with receive beamforming,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.905806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ee28f53-2938-4f0a-8690-bc0a312f3afb · outbound

This paper cites Enha nced Random Access and Beam Training for Millimeter Wave Wireless Local Networks With High User Density,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Enha nced Random Access and Beam Training for Millimeter Wave Wireless Local Networks With High User Density,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.892523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e2085216-6f44-4198-bd3e-df3fc30349d9 · outbound

This paper cites Steering with eyes closed: Mm-Wave beam steering without in-band measurement,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Steering with eyes closed: Mm-Wave beam steering without in-band measurement,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.878655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eede25a4-9875-4056-a22f-f08e519d4a98 · outbound

This paper cites Millime ter Wave Beam-Selection Using Out-of-Band Spatial Informa tion,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Millime ter Wave Beam-Selection Using Out-of-Band Spatial Informa tion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.866014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a22d42d-faaf-485d-a9a6-eb948697e79e · outbound

This paper cites Radar aided beam alignment in MmWave V2I communications supporting antenna diversity,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Radar aided beam alignment in MmWave V2I communications supporting antenna diversity,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.852805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1e8c3d7b-7b20-4edc-8a23-b28c003e4965 · outbound

This paper cites Deep learning,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Deep learning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T12:24:16.695630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d09a882-bd57-4487-80d6-4659840d5e67 · outbound

This paper cites G´ eron, Hands-On Machine Learning with Scikit-Learn and TensorFlo w.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection G´ eron, Hands-On Machine Learning with Scikit-Learn and TensorFlo w

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.830101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 07ff0513-4325-4147-af73-669f9451a19b · outbound

This paper cites Statistical analysis of Bayes optimal subset ranking,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Statistical analysis of Bayes optimal subset ranking,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.815994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 706c4025-6369-4d9b-aff4-462a4a521739 · outbound

This paper cites 5G MIMO data for machine learning: Applicat ion to beam-selection using deep learning,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection 5G MIMO data for machine learning: Applicat ion to beam-selection using deep learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.801795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e3bab782-a940-46cf-9543-5ebfb00c1954 · outbound

This paper cites Accurate collaborative globally- referenced digital mapping with standard GNSS,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Accurate collaborative globally- referenced digital mapping with standard GNSS,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.787592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d6e9637c-25d3-469e-8a6e-a5fa4531dd31 · outbound

This paper cites BlenSor : Blender sensor simulation toolbox,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection BlenSor : Blender sensor simulation toolbox,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.775309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 45623a5a-8285-43b4-b8d2-d6cc30b710c4 · outbound

This paper cites Recent development and applications of SUMO - Simulation of Urban MObility,.

LIDAR Data for Deep Learning-Based mmWave Beam-Selection Recent development and applications of SUMO - Simulation of Urban MObility,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:16.761444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.