Paper Citation Record · LEDGER

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design

As of 20 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:1908.11225.

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

pith.paper-citation-record.v1
1908.11225 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:25:34.089225Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

14 of 14 outbound references displayed

verified exact0
verified fuzzy12
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9683206-fb47-48c7-84c1-102767885148 · outbound

This paper cites Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges,.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.290994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 602c7358-e6fb-4c09-83ef-018f55c6dea9 · outbound

This paper cites Rabinovich and N.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design Rabinovich and N

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.277589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f18aa23-bfb8-43c5-8b35-61e6143a40af · outbound

This paper cites Study of Realistic Antenna Patterns in 5G mmWave Cellular Scenarios,.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design Study of Realistic Antenna Patterns in 5G mmWave Cellular Scenarios,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.262980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0848502-10da-4c48-9c74-d1698d0927d4 · outbound

This paper cites Deepmimo: A generic deep learning dataset for mil- limeter wave and massive MIMO applications,.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design Deepmimo: A generic deep learning dataset for mil- limeter wave and massive MIMO applications,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.249484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 585d5755-7863-4a3d-bda6-7ad1bb478fdc · outbound

This paper cites Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T10:25:34.050460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 303d342e-5f96-455d-989c-e453d8a5a396 · outbound

This paper cites A Very Brief Introduction to Machine Learning With Applications to Communication Systems,.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design A Very Brief Introduction to Machine Learning With Applications to Communication Systems,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.238260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e8148033-62cb-4f5b-a699-7921d5a1470b · outbound

This paper cites An Introduction to Deep Learning for the Physical Layer,.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design An Introduction to Deep Learning for the Physical Layer,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.225659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c5c995a5-3197-40a6-a6b9-bd544d223a62 · outbound

This paper cites Cognition-based networks: A new perspective on network optimization using learning and distributed intelligence,.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design Cognition-based networks: A new perspective on network optimization using learning and distributed intelligence,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.213463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19db96af-20ca-44a0-9f1a-50f54a50a109 · outbound

This paper cites A machine learning approach to QoE-based video admission control and resource allocation in wireless systems,.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design A machine learning approach to QoE-based video admission control and resource allocation in wireless systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.199784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b1a2c85-6d08-4a6c-a9a9-eb454956f021 · outbound

This paper cites Learning to Optimize: Training Deep Neural Networks for Interference Management,.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design Learning to Optimize: Training Deep Neural Networks for Interference Management,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.186641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4895deb3-d29f-4fff-aee8-5367320dba1c · outbound

This paper cites Understanding Noise and Interference Regimes in 5G Millimeter- Wave Cellular Networks,.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design Understanding Noise and Interference Regimes in 5G Millimeter- Wave Cellular Networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.174203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e70ea494-281f-4b59-a0c6-d0611f426792 · outbound

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

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design Study on channel model for frequencies from 0.5 to 100 GHz,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.161017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 84fb3eba-635a-49dc-bfaf-c95660ba6955 · outbound

This paper cites Study on scenarios and requirements for next generation access technologies,.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design Study on scenarios and requirements for next generation access technologies,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:25:34.148519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 193fc278-ba73-4c69-b460-64f75228722a · outbound

This paper cites an unresolved cited work.

Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T10:25:34.089225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.