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Paper Citation Record · LEDGER

Graph Neural Network Enabled Pinching Antennas

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 4 inbound Pith citation observations for arXiv:2502.05447.

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

pith.paper-citation-record.v1
2502.05447 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:19:54.846260Z

measured 17 of 17 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:02:21.875028Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:55:23.146321Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 861deec6-08bb-4dbf-ac60-446d83cf922b · outbound

This paper cites Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network,.

Graph Neural Network Enabled Pinching Antennas Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T19:19:54.800201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:19:54.800201Z digest=sha256:5886ff7d72bac45526bcd9c302ac309a13be75d92b6af96ededb350362158be7

Observation 5bc690f0-01db-4611-b92a-4bda4188d24f · outbound

This paper cites Fluid antenna systems,.

Graph Neural Network Enabled Pinching Antennas Fluid antenna systems,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:19:54.986091Z

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.

source=pdf_text observed=2026-08-08T19:19:54.804136Z digest=sha256:28084574029772797aeb562ffc24ae9b98ea0bdeb143390c8ca12a31f9684f0a

Observation b17d7000-15f7-4cbc-9029-af904d029b23 · outbound

This paper cites Flexible-Antenna Systems: A Pinching-Antenna Perspective.

Graph Neural Network Enabled Pinching Antennas Flexible-Antenna Systems: A Pinching-Antenna Perspective

Reference 3

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unresolved
no resolver link, observed 2026-08-08T19:19:54.807855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:19:54.807855Z digest=sha256:fe20a8529b0385e8e862db563bc5d7009119fa3614e6048c63d9ead989b1559d

Observation 49274bde-db76-43af-95a5-8953d3a5c91b · outbound

This paper cites Pinching-Antenna Systems (PASS): Architecture Designs, Opportunities, and Outlook.

Graph Neural Network Enabled Pinching Antennas Pinching-Antenna Systems (PASS): Architecture Designs, Opportunities, and Outlook

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T19:19:54.811651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:19:54.811651Z digest=sha256:724ca4695631940cb4214a7157a37638462016c59fdce71a378c84771e26b82c

Observation 1d760c85-82b3-48cc-8995-f3d3a8747520 · outbound

This paper cites Minimum Data Rate Maximization for Uplink Pinching-Antenna Systems.

Graph Neural Network Enabled Pinching Antennas Minimum Data Rate Maximization for Uplink Pinching-Antenna Systems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T19:19:54.815933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:19:54.815933Z digest=sha256:a0f18c36997588217b5a87753bcbc6facb0832e42ad82ac0d952472f9c8fffb9

Observation ca1c63d0-8247-41e1-b7ef-629dd4894c36 · outbound

This paper cites Array Gain for Pinching-Antenna Systems (PASS).

Graph Neural Network Enabled Pinching Antennas Array Gain for Pinching-Antenna Systems (PASS)

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T19:19:54.819345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:19:54.819345Z digest=sha256:ddb6efe1290df5a58b91003d797b0761e1df240af08b23977fc5c2ecd70fbf54

Observation 68993521-7213-4ccc-a26b-97eff15e2f7e · outbound

This paper cites AI-empowered RIS-assisted networks: CV-enabled RIS selection and DNN-enabled transmission,.

Graph Neural Network Enabled Pinching Antennas AI-empowered RIS-assisted networks: CV-enabled RIS selection and DNN-enabled transmission,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:19:54.975435Z

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.

source=pdf_text observed=2026-08-08T19:19:54.823807Z digest=sha256:f0db7e4dfacbf528b593278b756631e5e7ae5fc051f11a472c37ad87a2ec28c0

Observation d50df94d-48ff-4a0b-97ae-791ac22b6edf · outbound

This paper cites A deep learning framework for physical-layer secure beamforming,.

Graph Neural Network Enabled Pinching Antennas A deep learning framework for physical-layer secure beamforming,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:19:54.964113Z

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.

source=pdf_text observed=2026-08-08T19:19:54.827712Z digest=sha256:0fedee13ed8fc2859d9ae89b763fb0d535640a72ee793eff4d8833c856e01e0f

Observation a8fe1418-139f-4ce1-b93f-3f26de4c1f08 · outbound

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

Graph Neural Network Enabled Pinching Antennas Graph neural networks for wireless networks: Graph representation, architecture and evaluation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:19:54.952134Z

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.

source=pdf_text observed=2026-08-08T19:19:54.831322Z digest=sha256:77741167b85a76c51dd3b1de72b1c46bfe88175e39446cfe5d66a7fbd0d4a9b5

Observation c733614d-1f6a-4d26-abda-529b57b9e12d · outbound

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

Graph Neural Network Enabled Pinching Antennas Graph neural networks for wireless communications: From theory to practice,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:19:54.941681Z

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.

source=pdf_text observed=2026-08-08T19:19:54.835426Z digest=sha256:ca772b7caf511ff01ad72bcd10c29a16fef2ff1ae94862e46c8f66938de47e54

Observation 71f5dc38-1deb-4bbb-8fc5-402ef20420c0 · outbound

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

Graph Neural Network Enabled Pinching Antennas Deep learning for energy efficient beamforming in MU-MISO networks: A GAT-based approach,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:19:54.930678Z

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.

source=pdf_text observed=2026-08-08T19:19:54.838842Z digest=sha256:0915dce2212c859e9e6f2017519bdd25551be66f242af25736ce6f2f70ec1566

Observation cb70e5d4-85ba-43c6-a911-380d189ac076 · outbound

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

Graph Neural Network Enabled Pinching Antennas GNN-based beamforming for sum-rate maximization in MU-MISO networks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:19:54.918690Z

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.

source=pdf_text observed=2026-08-08T19:19:54.842330Z digest=sha256:60e56c2b62236d483f249ab38dadd199f9c7c58947665a1c09e7c6f7b65d5cba

Observation 8e63d446-bc39-4bb1-a5b2-f0473b5e1f79 · outbound

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

Graph Neural Network Enabled Pinching Antennas GNN-enabled max-min fair beamforming,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:19:54.906523Z

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.

source=pdf_text observed=2026-08-08T19:19:54.846260Z digest=sha256:4d6640bce5535ea76bf227971b6ca8ff3b49f003721417c064616176cb9d2d89

Pith citing papers

Observation ca9193a6-74c4-424e-a699-c7fb25477ff6 · inbound

Resource Allocation for Pinching-Antenna Systems: State-of-the-Art, Key Techniques and Open Issues cites this paper.

Resource Allocation for Pinching-Antenna Systems: State-of-the-Art, Key Techniques and Open Issues Graph Neural Network Enabled Pinching Antennas

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:21.875028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:21.875028Z digest=sha256:a36476354d462c80a56b2a8a31196338d4ec1a6fd2218cc585f99d64512e72a7

Observation c25d6ccb-e927-4e61-8aac-de5701fecd90 · inbound

Pinching-Antenna Systems with In-Waveguide Attenuation: Performance Analysis and Algorithm Design cites this paper.

Pinching-Antenna Systems with In-Waveguide Attenuation: Performance Analysis and Algorithm Design Graph Neural Network Enabled Pinching Antennas

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T21:39:07.436256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:39:07.436256Z digest=sha256:3c3798efc4e03ded3eb6fb27aa047900889af7b269ae6f2bb5680c80c26bb362

Observation ff181104-9c58-4ffd-96a2-b59802a88aa3 · inbound

Deep Learning Optimization of Two-State Pinching Antennas Systems cites this paper.

Deep Learning Optimization of Two-State Pinching Antennas Systems Graph Neural Network Enabled Pinching Antennas

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:01.721903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:01.721903Z digest=sha256:bc248d71f180988458290bab95210432cd1fdea405293c82ab96851dbd6d606d

Observation 997e8455-7b00-4deb-a287-b9bb908a607e · inbound

Robust Resource Allocation for Pinching-Antenna Systems under Imperfect CSI cites this paper.

Robust Resource Allocation for Pinching-Antenna Systems under Imperfect CSI Graph Neural Network Enabled Pinching Antennas

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:55:23.150891Z

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.

source=pdf_text observed=2026-08-06T16:55:23.098714Z digest=sha256:f9e8e1a1996c102b8f53b02af592f7f4bf5495898f9684d0871fa65259191268