Paper Citation Record · LEDGER

Quantum Deep Learning for Massive MIMO User Scheduling

As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2508.03327.

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

pith.paper-citation-record.v1
2508.03327 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:34:59.301143Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T10:28:49.219725Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:30:50.434391Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy13
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f28dff0-7662-4c15-9a78-99dd74b92dd9 · outbound

This paper cites Machine learning assisted user- scheduling method for massive mimo system,.

Quantum Deep Learning for Massive MIMO User Scheduling Machine learning assisted user- scheduling method for massive mimo system,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.531310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 96230704-ff93-4360-af3f-82cc1ef851a5 · outbound

This paper cites Pilot reuse for massive mimo transmission over spatially correlated rayleigh fading channels,.

Quantum Deep Learning for Massive MIMO User Scheduling Pilot reuse for massive mimo transmission over spatially correlated rayleigh fading channels,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.517492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb9f42af-5328-4215-86ea-2664cdfa8fa8 · outbound

This paper cites Dealing with csi compression to reduce losses and overhead: An artificial intelligence approach,.

Quantum Deep Learning for Massive MIMO User Scheduling Dealing with csi compression to reduce losses and overhead: An artificial intelligence approach,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.503307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2e66f23f-5c51-487a-b925-2ac80c72eb2d · outbound

This paper cites Quantum machine learning—an overview,.

Quantum Deep Learning for Massive MIMO User Scheduling Quantum machine learning—an overview,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.488827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cda2439b-6846-4613-866d-dbe1c1d5d6f9 · outbound

This paper cites A deep reinforcement learning-based resource scheduler for massive mimo networks,.

Quantum Deep Learning for Massive MIMO User Scheduling A deep reinforcement learning-based resource scheduler for massive mimo networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.474653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1cf8c3d0-8c63-4e68-9c6d-0fa6f6db68de · outbound

This paper cites Hybrid quantum-classical neural networks for downlink beamforming optimization,.

Quantum Deep Learning for Massive MIMO User Scheduling Hybrid quantum-classical neural networks for downlink beamforming optimization,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.460478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5c36329d-42da-4010-a0fd-3a9fe0800316 · outbound

This paper cites Deep learning based user schedul- ing for massive mimo downlink system,.

Quantum Deep Learning for Massive MIMO User Scheduling Deep learning based user schedul- ing for massive mimo downlink system,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.446037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fdf8f53e-c51a-40a2-86ea-65a489e24b97 · outbound

This paper cites Joint scheduling and deep learning-based beamforming for fd-mimo systems over correlated rician fading,.

Quantum Deep Learning for Massive MIMO User Scheduling Joint scheduling and deep learning-based beamforming for fd-mimo systems over correlated rician fading,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.430942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 44eb245e-0b97-48fe-af6f-852a450f2667 · outbound

This paper cites Beam di- vision multiple access transmission for massive mimo communications,.

Quantum Deep Learning for Massive MIMO User Scheduling Beam di- vision multiple access transmission for massive mimo communications,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.414125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a733e443-4226-482e-8a9b-e4d8687db909 · outbound

This paper cites Proportional fair space-time scheduling for wireless com- munications,.

Quantum Deep Learning for Massive MIMO User Scheduling Proportional fair space-time scheduling for wireless com- munications,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.399783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 48742321-3bc3-437d-8794-680ed1d49ac1 · outbound

This paper cites Quantum angle encoding with learnable rotation applied to quantum–classical convolutional neural networks,.

Quantum Deep Learning for Massive MIMO User Scheduling Quantum angle encoding with learnable rotation applied to quantum–classical convolutional neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.385489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e97ab9ff-f2c8-42e7-b5ba-655d7a9ffbb2 · outbound

This paper cites Advances in Quantum Deep Learning: An Overview.

Quantum Deep Learning for Massive MIMO User Scheduling Advances in Quantum Deep Learning: An Overview

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T04:34:59.292446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bf602fa-a726-4f8f-b3b5-01ef4b0ef58e · outbound

This paper cites Efficient decomposition of unitary matrices in quantum circuit compilers,.

Quantum Deep Learning for Massive MIMO User Scheduling Efficient decomposition of unitary matrices in quantum circuit compilers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.371137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0ab8e7fe-4a07-46ce-aacf-349ffbaf9efa · outbound

This paper cites Quantum entanglement in neural network states,.

Quantum Deep Learning for Massive MIMO User Scheduling Quantum entanglement in neural network states,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:34:59.356095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation d8b05742-57f0-4205-a649-ac66727d9037 · inbound

Grover's Search-Inspired Quantum Reinforcement Learning for Massive MIMO User Scheduling cites this paper.

Grover's Search-Inspired Quantum Reinforcement Learning for Massive MIMO User Scheduling Quantum Deep Learning for Massive MIMO User Scheduling

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:30:50.436463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.