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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:17:27.266692Z digest=sha256:f8ca09d69e393ce0067a7b60d7b2fecf19a8e7b8a364eb82bf297967be48213d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:17:27.272331Z digest=sha256:3f5f73aae6e908ee289a1c25a6ad0541c42d142e228e715de32ba1cc4675c355

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:17:27.277257Z digest=sha256:16798c5a0fdeb06f64b80d071cd80e129bb58cd5acaece2ef11cb39ca9a7985c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:17:27.282184Z digest=sha256:54236d89c8ec16171f387aea4a92855f81ba3d28641bce65c022b04add6ed012

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:17:27.286379Z digest=sha256:76843a6d02401a91f98eff635cecbd3ffc06149ab5e82949dc2f94ed6911f887

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:17:27.291364Z digest=sha256:084ff92c7e371751bfa44ddf121ec8406a36cf669782ff51419bf7031187e7a0

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.

source=pdf_text observed=2026-08-09T00:17:27.296955Z digest=sha256:5e31d7214a9c3a3469a171301b4b186ff7fb8d1489012ae01c55a5919a1f8984

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:17:27.302258Z digest=sha256:0d8b4f7fb53eafea9ae80d46bcb577d70e6c1ae21bd1acfe13b9008b717a4b58

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:17:27.313488Z digest=sha256:e3832215dac6c9bb8aca7792af244effbd38344af68adf45d8f97200312f68e0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:17:27.356445Z digest=sha256:97989e9299d3aeb348ad80214a89cd617e1012a2357fdfd02377b07a966849ce

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:17:27.407328Z digest=sha256:a61e7478927c30cd5e226cd2b5e028bbf71e3f53d8f2e206aea251100ad3b06a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-09T00:17:27.474754Z digest=sha256:86feb82d30755bcb6026afa545a3becd8061acbd1ed171271b4671d0d26178ea

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.

source=pdf_text observed=2026-08-09T00:17:27.548056Z digest=sha256:fd699897974084324d80989c1e935a103c7a751a311e3dba1fa4e890d1a49bde

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.

source=pdf_text observed=2026-08-09T00:17:27.598387Z digest=sha256:4d382b7158dc9666514d25a3e16d4fe99064746f3a8329be65d2fac57093c538

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-14T15:23:57.898821Z digest=sha256:1e94901b49f7d38a2d728e4066e0ff751da9225082894be6d11e5643f6126abe