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Paper Citation Record · LEDGER

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 3 inbound Pith citation observations for arXiv:2506.12583.

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

pith.paper-citation-record.v1
2506.12583 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:51:21.761964Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:39:07.028409Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:25:51.007590Z

Reference resolution

31 of 31 outbound references displayed

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  • unresolved18
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External citation measurements

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Outbound references

Observation bc90891a-bdd1-4444-8b90-0096f79c8c88 · outbound

This paper cites Toward massive machine type communi- cations in ultra-dense cellular IoT networks: Current issues and machine learning-assisted solutions,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Toward massive machine type communi- cations in ultra-dense cellular IoT networks: Current issues and machine learning-assisted solutions,

Reference 1

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Observation df098d20-2b9b-449a-96d3-2c9d6bd59dcf · outbound

This paper cites 6G Hyper Reliable and Low-latency Communication - Requirement Analysis and Proof of Concept,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems 6G Hyper Reliable and Low-latency Communication - Requirement Analysis and Proof of Concept,

Reference 2

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Observation b5a395aa-a1db-4296-a38e-9234763ad19f · outbound

This paper cites 3GPP Evolution from 5G to 6G: A 10-Year Retrospective.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems 3GPP Evolution from 5G to 6G: A 10-Year Retrospective

Reference 3

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Observation aa1e5b2a-e537-4bad-a18d-5ff7f2fbe1c2 · outbound

This paper cites On the road to 6G: Visions, requirements, key technologies, and testbeds,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems On the road to 6G: Visions, requirements, key technologies, and testbeds,

Reference 4

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation db88fa5e-8bff-42e2-94c9-5fece548905f · outbound

This paper cites Key focus areas and enabling technologies for 6G,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Key focus areas and enabling technologies for 6G,

Reference 5

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Observation 81fc1ca9-c533-4cad-b079-88fd1dde5012 · outbound

This paper cites Noncooperative cellular wireless with unlimited num- bers of base station antennas,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Noncooperative cellular wireless with unlimited num- bers of base station antennas,

Reference 6

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Observation 1c9c0d7b-9040-4171-8dd2-3e20fb44c030 · outbound

This paper cites Massive MIMO for next generation wireless systems,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Massive MIMO for next generation wireless systems,

Reference 7

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dae307e8-6326-4d99-b970-5ebdd2c64042 · outbound

This paper cites Distributed signal processing for extremely large-scale antenna array systems: State-of-the-art and future directions,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Distributed signal processing for extremely large-scale antenna array systems: State-of-the-art and future directions,

Reference 8

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Observation 308bc9b0-bb1b-4f11-90af-0febe8a9e8dc · outbound

This paper cites Exploiting the Preferred Domain of FDD Massive MIMO Systems with Uniform Planar Arrays,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Exploiting the Preferred Domain of FDD Massive MIMO Systems with Uniform Planar Arrays,

Reference 9

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:51:21.695833Z digest=sha256:bed129c1657570643c6376e486996c47ca8c9a7fac77964eaabfe34250cb5744

Observation edc9207d-225b-4fd7-9d96-fe8113b157a4 · outbound

This paper cites A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems A tutorial on extremely large-scale MIMO for 6G: Fundamentals, signal processing, and applications,

Reference 10

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Observation 47da7dc0-3056-4b8c-b65d-832030cd07ee · outbound

This paper cites Extremely Large-scale MIMO: Fundamentals, challenges,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Extremely Large-scale MIMO: Fundamentals, challenges,

Reference 11

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6110af09-b8bb-485a-bd81-a7380e640c9d · outbound

This paper cites Fluid Antenna Systems Enabling 6G:Principles, Applications, and Research Directions.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Fluid Antenna Systems Enabling 6G:Principles, Applications, and Research Directions

Reference 12

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Observation 49c46b1f-dbd1-4e6b-9a2e-8c263ce6abf6 · outbound

This paper cites Modeling and performance analysis for movable antenna enabled wireless communications,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Modeling and performance analysis for movable antenna enabled wireless communications,

Reference 13

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Observation ff6ab3fc-bd94-4b3c-9de7-b0071b7b98aa · outbound

This paper cites Pinching antenna—using a dielectric waveguide as an antenna,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Pinching antenna—using a dielectric waveguide as an antenna,

Reference 14

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dc22860a-499c-42cc-9fcb-0a4075f4d605 · outbound

This paper cites Flexible-antenna systems: A pinching-antenna perspective,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Flexible-antenna systems: A pinching-antenna perspective,

Reference 15

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 601c06e4-9c06-45d2-acb2-3df65a862b39 · outbound

This paper cites Historical Review of Fluid Antenna and Movable Antenna.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Historical Review of Fluid Antenna and Movable Antenna

Reference 16

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Observation c9b3296d-b06f-4a84-931c-7263f4e3b3b8 · outbound

This paper cites Pinching Antennas: Principles, Applications and Challenges.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Pinching Antennas: Principles, Applications and Challenges

Reference 17

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Observation aa76586f-f854-4a13-98c8-7d2a7d3b5c67 · outbound

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

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Pinching-Antenna Systems (PASS): Architecture Designs, Opportunities, and Outlook

Reference 18

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Observation 76462dc0-2668-42a4-9f08-0df7df8d4a64 · outbound

This paper cites LoS Blockage in Pinching-Antenna Systems: Curse or Blessing?.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems LoS Blockage in Pinching-Antenna Systems: Curse or Blessing?

Reference 19

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source=pdf_text observed=2026-08-07T00:51:21.727406Z digest=sha256:e806254e5640c177c3e88a4c6eb1f31f5d937d9a95607c2d9f7598ca23bd4cb3

Observation bec74056-7582-49c5-9ce0-0594eaa4d898 · outbound

This paper cites Modeling and Beamforming Optimization for Pinching-Antenna Systems.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Modeling and Beamforming Optimization for Pinching-Antenna Systems

Reference 20

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source=pdf_text observed=2026-08-07T00:51:21.730327Z digest=sha256:4747096d46ed25a87fda6a709e7ea7748d0da9f7cfe4efbd8b2b8e005ca69fb5

Observation 0997d916-17e0-41c5-a50f-414f31bc6e72 · outbound

This paper cites Rate maximization for downlink pinching-antenna systems,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Rate maximization for downlink pinching-antenna systems,

Reference 21

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:51:21.733287Z digest=sha256:89315170dcc94d9e3fd708dd1a0dccd19cdde5b6e4774845a5580ea68ac11b3c

Observation 31b0d137-c58d-4fda-a800-7cb38f364988 · outbound

This paper cites Pinching-Antenna Systems (PASS): Power Radiation Model and Optimal Beamforming Design.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Pinching-Antenna Systems (PASS): Power Radiation Model and Optimal Beamforming Design

Reference 22

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source=pdf_text observed=2026-08-07T00:51:21.736231Z digest=sha256:d0dc0ea42497a578a1b84da6e0f3d64da8064c7b3ae626cc8719ec6e5e75652f

Observation 0c6c5bb1-3f32-4c0d-8bd7-2bee5f17df2a · outbound

This paper cites Two-Timescale Joint Transmit and Pinching Beamforming for Pinching-Antenna Systems.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Two-Timescale Joint Transmit and Pinching Beamforming for Pinching-Antenna Systems

Reference 23

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local_arxiv, observed 2026-08-07T00:51:21.852925Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ef02d98f-77f4-4ceb-aba9-bc033070b626 · outbound

This paper cites QoS-Aware NOMA Design for Downlink Pinching-Antenna Systems.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems QoS-Aware NOMA Design for Downlink Pinching-Antenna Systems

Reference 24

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source=pdf_text observed=2026-08-07T00:51:21.743072Z digest=sha256:9729fd5b69de307f2c635b60c0529d2dacb67e5c88c56dc0accd207013044519

Observation dc1be5f9-e21e-4da4-93bb-d9088b962c65 · outbound

This paper cites Pinching-Antenna Systems (PASS) Aided Over-the-air Computation.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Pinching-Antenna Systems (PASS) Aided Over-the-air Computation

Reference 25

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source=pdf_text observed=2026-08-07T00:51:21.746321Z digest=sha256:6aab0711d6c834acd249bfffac81e4b1d356460198349af9a369efdbe5a0b271

Observation d0aa6f75-9b49-48f6-958b-b21b547d981f · outbound

This paper cites GPASS: Deep Learning for Beamforming in Pinching-Antenna Systems (PASS).

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems GPASS: Deep Learning for Beamforming in Pinching-Antenna Systems (PASS)

Reference 26

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source=pdf_text observed=2026-08-07T00:51:21.749220Z digest=sha256:67bab66a4ff4daf8d5d40fe3828ca3f5d5b20d3f335d9dac957517be44d7bd7b

Observation 87a37c8c-9e06-402d-955f-5202b12de594 · outbound

This paper cites Channel Estimation for Pinching-Antenna Systems (PASS).

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Channel Estimation for Pinching-Antenna Systems (PASS)

Reference 27

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local_arxiv, observed 2026-08-07T00:51:21.813321Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:51:21.752842Z digest=sha256:6a310cb1fa1f0630067b9577e6da4fd621487ad1302dcc8e07485e3e53359fba

Observation 8a149a96-b6c3-48ce-ab45-ecc28b87c095 · outbound

This paper cites Channel Estimation for mmWave Pinching-Antenna Systems.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Channel Estimation for mmWave Pinching-Antenna Systems

Reference 28

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Observation a34cce77-92d7-4a4e-b680-a3f8d2a1a8f5 · outbound

This paper cites Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Discerning and Enhancing the Weighted Sum-Rate Maximization Algorithms in Communications

Reference 29

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source=pdf_text observed=2026-08-07T00:51:21.759013Z digest=sha256:c8ee685c1ba034b64e07379d08f3aba30923828dda59f760a4fe8f5d54dd8920

Observation d16746e5-6bc7-4b17-ba29-015b3dfd01c8 · outbound

This paper cites Fractional programming for communication systems—part i: Power control and beamforming,.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Fractional programming for communication systems—part i: Power control and beamforming,

Reference 30

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raw_fallback, observed 2026-08-07T00:51:22.037556Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:51:21.761964Z digest=sha256:2e1c4d6928e32428733f7d39f0ff1d631b1b911c33acc16c5701696bcbed61bc

Observation 2d621c68-0f25-4409-a318-fc54665da693 · outbound

This paper cites Available: https://www.docomo.ne.jp/english/corporate/ technology/rd/technical journal/bn/vol23 3/.

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems Available: https://www.docomo.ne.jp/english/corporate/ technology/rd/technical journal/bn/vol23 3/

Reference 2022

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:51:21.712899Z digest=sha256:f9701f48a1932c845a1c19043ff393ed1bc8d04623aa2e3812c3ddd50d578211

Pith citing papers

Observation 5c4877bd-bf87-41f9-97ee-2f992fe47b23 · 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 A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems

Reference 15

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source=pdf_text observed=2026-08-06T21:39:07.028409Z digest=sha256:7ae8bf5a44e69de8ee8c3617586c927eb7dc1f058552fa5a83325dd67d0dfb22

Observation e9a1296f-91f3-49e6-8db0-a66bf2368375 · inbound

Pinching-Antenna System Design with LoS Blockage: Does In-Waveguide Attenuation Matter? cites this paper.

Pinching-Antenna System Design with LoS Blockage: Does In-Waveguide Attenuation Matter? A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Waveguide to Meaning: Semantic-Aware NOMA for Pinching-Antenna Systems cites this paper.

Waveguide to Meaning: Semantic-Aware NOMA for Pinching-Antenna Systems A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems

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