Paper Citation Record · LEDGER

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach

As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2502.03922.

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

pith.paper-citation-record.v1
2502.03922 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:17:27.598387Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:23:57.898821Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T15:23:57.999479Z

Reference resolution

14 of 14 outbound references displayed

verified exact0
verified fuzzy7
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d091437-b1b9-4d8e-b6f9-13f169726fc1 · outbound

This paper cites an unresolved cited work.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-09T00:17:27.863600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c9b9c8bd-566d-407c-a06b-09187608aac8 · outbound

This paper cites an unresolved cited work.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-09T00:17:27.847434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c78000ae-a5bb-4b78-b4e3-84924ded7800 · outbound

This paper cites an unresolved cited work.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-09T00:17:27.833644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 00c2e17b-ece9-41d2-a926-407f59a3c6d8 · outbound

This paper cites Deep learning enabled multicast beamforming with mov- able antenna array,.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Deep learning enabled multicast beamforming with mov- able antenna array,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:17:27.818662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d40e602-27bf-4c78-9a89-52a7bf8774d9 · outbound

This paper cites Graph neural networks for wireless networks: Graph representation, architecture and evaluation,.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Graph neural networks for wireless networks: Graph representation, architecture and evaluation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:17:27.803071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29dcf85e-4cb4-4c3f-a19a-98ae6942ba25 · outbound

This paper cites Deep learning for energy efficient beamforming in MU-MISO networks: A GAT-based approach,.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Deep learning for energy efficient beamforming in MU-MISO networks: A GAT-based approach,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:17:27.787194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 89a69cdf-4a54-4c9a-89cf-05ffa04a31c6 · outbound

This paper cites GNN-based beamforming for sum-rate maximization in MU-MISO networks,.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach GNN-based beamforming for sum-rate maximization in MU-MISO networks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T00:17:27.296955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d991a15-e290-4800-a46c-9227102167d9 · outbound

This paper cites GNN-enabled max-min fair beamforming,.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach GNN-enabled max-min fair beamforming,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:17:27.758637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 81a13b57-5e08-4fb3-984a-dbc595150ee0 · outbound

This paper cites an unresolved cited work.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-09T00:17:27.742616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4dd5ca65-fed9-46ac-8ae2-38d54c1df8b3 · outbound

This paper cites ICNet: GNN-enabled beamforming for MISO interference channels with statistical CSI,.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach ICNet: GNN-enabled beamforming for MISO interference channels with statistical CSI,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:17:27.726559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 326a62ca-a47f-4acf-b53c-204cbe64350b · outbound

This paper cites Song et al., ”A deep learning framework for physical-layer secure beamforming,” early accessed in IEEE Trans.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Song et al., ”A deep learning framework for physical-layer secure beamforming,” early accessed in IEEE Trans

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:17:27.710469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1ba1a061-c39b-404e-9f5e-157b34866a27 · outbound

This paper cites Hybrid MRT and ZF learning for energy-efficient transmission in multi-RIS-assisted networks,.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Hybrid MRT and ZF learning for energy-efficient transmission in multi-RIS-assisted networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T00:17:27.693013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5a656ed-691b-40f4-a6c6-b002403322db · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T00:17:27.548056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e03ad77-d11d-4b54-9238-d955295a057d · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification,.

Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T00:17:27.598387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7a22377f-0c00-477f-8052-eb035fbea759 · inbound

EM-Guided Graph Learning for Fluid Antenna Beamforming under Current-Domain Constraints cites this paper.

EM-Guided Graph Learning for Fluid Antenna Beamforming under Current-Domain Constraints Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:23:58.003496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.