Paper Citation Record · LEDGER

Deep Learning Based MIMO Communications

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1707.07980.

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

pith.paper-citation-record.v1
1707.07980 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:20:04.010740Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T13:28:19.576722Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3424198e-3775-4af6-9fce-8ba52dc675b3 · inbound

Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges cites this paper.

Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges Deep Learning Based MIMO Communications

Reference 116

Resolution: verified exact; local_arxiv, observed 2026-05-24T18:24:48.052287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e7a6ed23-9b62-4d70-a247-b86ca3688b40 · inbound

Next-generation Wireless Solutions for the Smart Factory, Smart Vehicles, the Smart Grid and Smart Cities cites this paper.

Next-generation Wireless Solutions for the Smart Factory, Smart Vehicles, the Smart Grid and Smart Cities Deep Learning Based MIMO Communications

Reference 207

Resolution: verified exact; local_arxiv, observed 2026-05-24T16:54:42.885163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 18dee9c8-49a5-4756-8407-5be4da6d1756 · inbound

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback cites this paper.

Spatio-Temporal Representation with Deep Neural Recurrent Network in MIMO CSI Feedback Deep Learning Based MIMO Communications

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:04.010740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69375955-8d02-437d-a16f-ba29811e653d · inbound

Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges cites this paper.

Semantic Edge Computing and Semantic Communications in 6G Networks: A Unifying Survey and Research Challenges Deep Learning Based MIMO Communications

Reference 152

Resolution: unresolved; no resolver link, observed 2026-08-12T11:27:38.765907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf7d499-d017-4f00-a9a7-fe3d2671658b · inbound

Deep Learning Based Sparse Array Design with Pre-Steering for Adaptive Beamforming cites this paper.

Deep Learning Based Sparse Array Design with Pre-Steering for Adaptive Beamforming Deep Learning Based MIMO Communications

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-02T15:27:05.599733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f0a464c9-955e-4772-a369-2651e3792ced · inbound

Game-Theoretic Latent Space Alignment for Multi-user Semantic MIMO Communications cites this paper.

Game-Theoretic Latent Space Alignment for Multi-user Semantic MIMO Communications Deep Learning Based MIMO Communications

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-03T13:28:19.579308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.