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Paper Citation Record · LEDGER

Quantum Deep Learning for Massive MIMO User Scheduling

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.242458Z digest=sha256:5c69b4abbd9c1e5796317a5ffaf0d356c285ea1543e8bb73b109be94fe5f674b

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.247376Z digest=sha256:5d264168753cf3611189b341c8d1b7355663acdf0b423307028b958aa4a46800

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.251626Z digest=sha256:0b08c177ed878e8a5d07c7229962a012317bc34eb66b8a870402a35cd64bbbe2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.256082Z digest=sha256:73fd86e8480d495ec993327e1645ecb995ba9bbffae362fe5c74f2117905cac1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.261064Z digest=sha256:f992821d52ff8d5a364de8f30630d48f9792aa0fcfc6128fdd41a3c5ba0469f5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.266700Z digest=sha256:d28b3ce9bf4ae8ecc8c10609b407dd0cc7fb5e0c13b56dff7a40830bf5bc28c7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.271542Z digest=sha256:30b477fea0c36e03cbc8eef5749adb38e15e569c5295f86053814465341f2e71

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.276201Z digest=sha256:181f536fba2847e6a95a29ac396df6c1e060a785d4452e4a80824393868e1bb8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.280199Z digest=sha256:295cffbf47ddb40fe5b9e5b3e91b911ead7df1cff4d0b92ae659a4db14eea240

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.284351Z digest=sha256:23415cf9fe03b438a03c92cd722f8a26accbfa2a036e46b7b7efe3e64212a289

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.288373Z digest=sha256:ed0eece1cac4f240c1bd2b0ba65e2de66dd9069bbbf1179c93da2559d6c4907a

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.

source=pdf_text observed=2026-08-06T04:34:59.292446Z digest=sha256:91e2e9623638af959ebd48f298288f6822e08958b782f59e914e735f0a752c55

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.296894Z digest=sha256:6e97c46f3c3b47a7a551549c21d189729cc8e4b2973887f28a37fc0eb9448463

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T04:34:59.301143Z digest=sha256:63b5a22da408cbaa6704d510101b9627a00b21d8b6a31e5e83da083974f3ef05

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T10:28:49.219725Z digest=sha256:e77ba552962f6119db1a1cda2d2fe9d8f509d5de6922f28a2f97cc14e51663dd