Paper Citation Record · LEDGER

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks

As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.03813.

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

pith.paper-citation-record.v1
2506.03813 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:00:54.448479Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

16 of 16 outbound references displayed

verified exact0
verified fuzzy9
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bcefb2fb-f3f9-47e8-b8f5-c495960c3425 · outbound

This paper cites An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:00:54.415118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b11e6ff5-e6ed-4bc5-ba69-4232886c5e9b · outbound

This paper cites Underlay device-to-device communications on multiple channels,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Underlay device-to-device communications on multiple channels,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:00:54.418218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 709852e0-a3fc-4c0e-8823-c32d8dc88e86 · outbound

This paper cites A joint channel and power al- location scheme for device-to-device communications underlaying uplink cellular networks,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks A joint channel and power al- location scheme for device-to-device communications underlaying uplink cellular networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:00:54.540880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b6da0e57-b234-4029-8d63-bb94c457ed32 · outbound

This paper cites Resource allocation for D2D communication with multiple D2D pairs reusing multiple channels,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Resource allocation for D2D communication with multiple D2D pairs reusing multiple channels,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:00:54.534472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bff9ac97-4cc0-4cb8-8f16-c9ccfb0b2adc · outbound

This paper cites Learning power allocation for cell-free massive mimo system with graph neural networks,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Learning power allocation for cell-free massive mimo system with graph neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:00:54.527707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fc205d4c-585d-4da8-88e8-e889aa179309 · outbound

This paper cites Graph neural networks for power allocation in wireless networks with full duplex nodes,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Graph neural networks for power allocation in wireless networks with full duplex nodes,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:00:54.521299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7a29f76c-0ba4-4a19-a583-70df42fa9fa8 · outbound

This paper cites Heterogeneous graph neural network for power allocation in multicarrier-division du- plex cell-free massive mimo systems,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Heterogeneous graph neural network for power allocation in multicarrier-division du- plex cell-free massive mimo systems,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:00:54.514830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dee8ad90-952a-4f63-a90e-6d7bf9adfdb4 · outbound

This paper cites A GNN- based supervised learning framework for resource allocation in wireless iot networks,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks A GNN- based supervised learning framework for resource allocation in wireless iot networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:00:54.508216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6633d8a7-c36a-4cd4-b727-3402a4b13707 · outbound

This paper cites GNN-based joint channel and power allo- cation in heterogeneous wireless networks,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks GNN-based joint channel and power allo- cation in heterogeneous wireless networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:00:54.501684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a92f4ab6-f3c5-45ce-b7bb-967c9ec93882 · outbound

This paper cites Graph neural networks approach for joint wireless power control and spectrum allocation,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Graph neural networks approach for joint wireless power control and spectrum allocation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:00:54.436214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8989bed2-dcb7-41c2-8796-018a7d28a6b3 · outbound

This paper cites Deep reinforcement learning-based channel allocation for wireless LANs with graph convolutional networks,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Deep reinforcement learning-based channel allocation for wireless LANs with graph convolutional networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:00:54.438189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61254f22-b2c1-4f4d-9e52-f216a8fbcfd6 · outbound

This paper cites Learning to optimize: Training deep neural networks for interference management,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Learning to optimize: Training deep neural networks for interference management,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:00:54.440385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edc6183c-5d9f-4ab4-ae5c-60fff26c1919 · outbound

This paper cites Universal invariant and equivariant graph neural networks,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Universal invariant and equivariant graph neural networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:00:54.442411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60cd4ffe-4ce1-437d-a39c-6ba83d95b06f · outbound

This paper cites Unsupervised deep learning for opti- mizing wireless systems with instantaneous and statistic constraints,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Unsupervised deep learning for opti- mizing wireless systems with instantaneous and statistic constraints,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:00:54.479985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e80b3cb-7443-4176-98a0-cbf6a5ff8783 · outbound

This paper cites Learning optimal resource allocations in wireless systems,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Learning optimal resource allocations in wireless systems,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:00:54.446560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe8b49ab-c9a1-47eb-b9ab-ff26f004ee72 · outbound

This paper cites Graph neural networks for wireless communications: From theory to practice,.

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks Graph neural networks for wireless communications: From theory to practice,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:00:54.468758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.