Paper Citation Record · LEDGER

Propagation Channel Modeling by Deep learning Techniques

As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:1908.06767.

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

pith.paper-citation-record.v1
1908.06767 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:38:57.132280Z

measured 22 of 22 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:54:34.595718Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact1
verified fuzzy12
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4a1e02f-c959-4a96-9327-1fec1bc7598f · outbound

This paper cites A survey of 5g channel measurements and models,.

Propagation Channel Modeling by Deep learning Techniques A survey of 5g channel measurements and models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.457328Z

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 f2e7560e-3f3e-4be9-bef8-9199d16b22b2 · outbound

This paper cites Speed- up techniques for ray tracing ﬁeld prediction models,.

Propagation Channel Modeling by Deep learning Techniques Speed- up techniques for ray tracing ﬁeld prediction models,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.442046Z

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 9a2d0dfe-2a43-481c-8cda-da0b3c0ff336 · outbound

This paper cites Spatial channel model for mimo simulations,.

Propagation Channel Modeling by Deep learning Techniques Spatial channel model for mimo simulations,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.426401Z

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 7ec2e55f-edcf-4f49-a02e-d5327ac9540e · outbound

This paper cites An interim channel model for beyond-3g systems: extending the 3gpp spatial channel model (scm),.

Propagation Channel Modeling by Deep learning Techniques An interim channel model for beyond-3g systems: extending the 3gpp spatial channel model (scm),

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.410506Z

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 00c9965d-8ff1-4181-9240-ba514a54a5e6 · outbound

This paper cites 3d extension of the 3gpp/itu channel model,.

Propagation Channel Modeling by Deep learning Techniques 3d extension of the 3gpp/itu channel model,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.395190Z

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 69fd334b-1c66-4261-928e-c283c72b809b · outbound

This paper cites Deep learning for massive mimo csi feedback,.

Propagation Channel Modeling by Deep learning Techniques Deep learning for massive mimo csi feedback,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T12:38:57.060174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cde4b485-311b-4bec-8c48-e3d29882f5ea · outbound

This paper cites Deep learning for joint source- channel coding of text,.

Propagation Channel Modeling by Deep learning Techniques Deep learning for joint source- channel coding of text,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.370904Z

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 d1f8986b-5d7c-4350-b4cc-8833af156bcc · outbound

This paper cites Power of deep learning for channel estimation and signal detection in ofdm systems,.

Propagation Channel Modeling by Deep learning Techniques Power of deep learning for channel estimation and signal detection in ofdm systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.355789Z

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 92fe40a3-2131-4ceb-a7c1-88eb810a5744 · outbound

This paper cites Generative adversarial nets,.

Propagation Channel Modeling by Deep learning Techniques Generative adversarial nets,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T12:38:57.075279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5241c3de-6288-4eea-89d1-8f865239d4ea · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Propagation Channel Modeling by Deep learning Techniques Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T12:38:57.080164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a609930b-efa4-4db5-b209-dcf20c5d2c05 · outbound

This paper cites Conditional generative adversarial nets for convolutional face generation,.

Propagation Channel Modeling by Deep learning Techniques Conditional generative adversarial nets for convolutional face generation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.331235Z

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 38ed436d-5142-4781-ad8d-4ccf40061553 · outbound

This paper cites BEGAN: Boundary Equilibrium Generative Adversarial Networks.

Propagation Channel Modeling by Deep learning Techniques BEGAN: Boundary Equilibrium Generative Adversarial Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T12:38:57.090357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e7bc9f-69dd-4103-ae9a-45f486c98357 · outbound

This paper cites Improved training of wasserstein gans,.

Propagation Channel Modeling by Deep learning Techniques Improved training of wasserstein gans,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.316363Z

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 b6fad3c4-a6a7-4902-9cd0-cdf46ac84e7b · outbound

This paper cites Image-to-image translation with conditional adversarial networks,.

Propagation Channel Modeling by Deep learning Techniques Image-to-image translation with conditional adversarial networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T12:38:57.100214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 138ed12c-8ea6-4476-bad6-9a790bfa02c8 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks,.

Propagation Channel Modeling by Deep learning Techniques Unpaired image-to-image translation using cycle-consistent adversarial networks,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T12:38:57.104690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ebdc547-dea1-4f0a-84fd-64038fe437f2 · outbound

This paper cites Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation.

Propagation Channel Modeling by Deep learning Techniques Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:38:57.175640Z

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 55399b7b-1cd2-45a3-9726-17a4a9c5be1d · outbound

This paper cites Stargan: Uniﬁed generative adversarial networks for multi-domain image-to- image translation,.

Propagation Channel Modeling by Deep learning Techniques Stargan: Uniﬁed generative adversarial networks for multi-domain image-to- image translation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.281355Z

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 e784e08b-7eb2-419e-a079-ad080a79752d · outbound

This paper cites Deep learning-based channel estimation for beamspace mmwave massive mimo systems,.

Propagation Channel Modeling by Deep learning Techniques Deep learning-based channel estimation for beamspace mmwave massive mimo systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.266337Z

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 aa986870-02d4-4b02-b32e-bd7e5f7d9476 · outbound

This paper cites an unresolved cited work.

Propagation Channel Modeling by Deep learning Techniques Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:38:57.251538Z

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 60757922-0680-409b-9e16-893ff42d336f · outbound

This paper cites an unresolved cited work.

Propagation Channel Modeling by Deep learning Techniques Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:38:57.236552Z

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 4e27bff1-59dd-4e97-a8ce-e634b525ac3b · outbound

This paper cites Precise power delay proﬁling with commodity wiﬁ,.

Propagation Channel Modeling by Deep learning Techniques Precise power delay proﬁling with commodity wiﬁ,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:38:57.221704Z

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

Observation 609473a1-59ea-4df1-91e0-3ec517a0bedf · inbound

A Geometry-based Stochastic Wireless Channel Model using Generative Neural Networks cites this paper.

A Geometry-based Stochastic Wireless Channel Model using Generative Neural Networks Propagation Channel Modeling by Deep learning Techniques

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T19:54:34.595718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.