Paper Citation Record · LEDGER

Deep Learning Optimization of Two-State Pinching Antennas Systems

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2507.06222.

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

pith.paper-citation-record.v1
2507.06222 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:02.299331Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:33:05.437707Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:26:06.516958Z

Reference resolution

33 of 33 outbound references displayed

verified exact2
verified fuzzy12
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e6c395a-c63c-4d87-bb11-63bfb78b216a · outbound

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

Deep Learning Optimization of Two-State Pinching Antennas Systems Towards smart and reconfigurable environment: Intelligent reflecting surface aided wireless network,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:00.274250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9866a8ea-3991-49e8-83ae-8bbc8be0fc53 · outbound

This paper cites Fluid antenna systems,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Fluid antenna systems,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:00.359829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3ec8c51-5c32-4e6e-a3a0-b17a190717a4 · outbound

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

Deep Learning Optimization of Two-State Pinching Antennas Systems Fluid Antenna Systems Enabling 6G:Principles, Applications, and Research Directions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:00.405592Z

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Observation f741b84c-11d7-4a16-9a9d-da9affe1a0b4 · outbound

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

Deep Learning Optimization of Two-State Pinching Antennas Systems Modeling and performance analysis for movable antenna enabled wireless communications,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:00.466462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef476a0e-0b87-4e58-a7a7-47992f6c09f0 · outbound

This paper cites Mimo capacity characterization for movable antenna systems,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Mimo capacity characterization for movable antenna systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:04.802906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1c63cefa-3675-42c5-89eb-7fe4c44dbd31 · outbound

This paper cites A survey of integrating generative artificial intelligence and 6g mobile services: Architectures, solutions, technologies and outlooks,.

Deep Learning Optimization of Two-State Pinching Antennas Systems A survey of integrating generative artificial intelligence and 6g mobile services: Architectures, solutions, technologies and outlooks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:04.597590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6191abc7-0920-4935-9979-327aa9355fd9 · outbound

This paper cites Toward Generative 6G Simulation: An Experimental Multi-Agent LLM and ns-3 Integration.

Deep Learning Optimization of Two-State Pinching Antennas Systems Toward Generative 6G Simulation: An Experimental Multi-Agent LLM and ns-3 Integration

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:00.685619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 323f6be3-0fda-44ca-835e-acc80743227d · outbound

This paper cites Pinching antenna,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Pinching antenna,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:04.408472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80838cda-d191-41b2-a85e-b26d42e73f75 · outbound

This paper cites Pinching antennas: Principles, applications and challenges,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Pinching antennas: Principles, applications and challenges,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:04.220669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1606c7da-e738-4092-94b7-0e069931dcaa · outbound

This paper cites Holographic mimo for leo satellite communications aided by reconfigurable holographic surfaces,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Holographic mimo for leo satellite communications aided by reconfigurable holographic surfaces,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:04.056698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84d74f52-3667-4ad5-8446-b3d2230be349 · outbound

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

Deep Learning Optimization of Two-State Pinching Antennas Systems Flexible-antenna systems: A pinching-antenna perspective,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:00.879164Z

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Unavailable: canonical work link unavailable.

Observation d08ce7e5-6fe9-401c-9c55-05659f47d246 · outbound

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

Deep Learning Optimization of Two-State Pinching Antennas Systems LoS Blockage in Pinching-Antenna Systems: Curse or Blessing?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:00.931468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb2cdd10-e102-46ee-a2b6-3c4c8ce53208 · outbound

This paper cites Array gain for pinching- antenna systems (pass),.

Deep Learning Optimization of Two-State Pinching Antennas Systems Array gain for pinching- antenna systems (pass),

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:03.901534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 71c2a128-2561-4c51-8f79-91ed73f8d3d5 · outbound

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

Deep Learning Optimization of Two-State Pinching Antennas Systems Pinching Antennas: Principles, Applications and Challenges

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:01.055092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d5f564b-a554-44f5-948b-22bdb5d7a74b · outbound

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

Deep Learning Optimization of Two-State Pinching Antennas Systems Resource Allocation for Pinching-Antenna Systems: State-of-the-Art, Key Techniques and Open Issues

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:01.110055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13db2eaa-1fae-40ac-ad96-1f00a9b09fa6 · outbound

This paper cites Minimum data rate maximization for uplink pinching-antenna systems,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Minimum data rate maximization for uplink pinching-antenna systems,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:03.733929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation edf89521-485c-4889-8b85-6e8efaa58a09 · outbound

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

Deep Learning Optimization of Two-State Pinching Antennas Systems Rate maximization for downlink pinching-antenna systems,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:01.220237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 563987ef-17ee-4745-b84e-1c805e7168ed · outbound

This paper cites Performance analysis of pinching- antenna systems,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Performance analysis of pinching- antenna systems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:03.580482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e3d1eac-78d6-4929-8533-ef4a277826a8 · outbound

This paper cites Secrecy Rate Maximization with Artificial Noise for Pinching-Antenna Systems.

Deep Learning Optimization of Two-State Pinching Antennas Systems Secrecy Rate Maximization with Artificial Noise for Pinching-Antenna Systems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:01.472703Z

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Unavailable: canonical work link unavailable.

Observation d94a50c1-4ac1-4117-bf90-5e549d42d829 · outbound

This paper cites Pinching- antenna systems (pass)-enabled secure wireless communications,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Pinching- antenna systems (pass)-enabled secure wireless communications,

Reference 21

Resolution: verified exact; doi, observed 2026-08-06T19:14:02.515351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9967e15-e5fe-440d-9a16-3b81a8dff927 · outbound

This paper cites Integrated Sensing and Communications for Pinching-Antenna Systems (PASS).

Deep Learning Optimization of Two-State Pinching Antennas Systems Integrated Sensing and Communications for Pinching-Antenna Systems (PASS)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:01.581434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c626a715-5355-4db2-b7a8-42cc11e35aa6 · outbound

This paper cites Cram\'er-Rao Bounds for Integrated Sensing and Communications in Pinching-Antenna Systems.

Deep Learning Optimization of Two-State Pinching Antennas Systems Cram\'er-Rao Bounds for Integrated Sensing and Communications in Pinching-Antenna Systems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:01.639146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Graph Neural Network Enabled Pinching Antennas.

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.

Observation ecfad38a-76e3-4db7-95ce-8bf8139768a1 · outbound

This paper cites Antenna activation and resource allocation in multi- waveguide pinching-antenna systems,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Antenna activation and resource allocation in multi- waveguide pinching-antenna systems,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:03.413531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf3d3c5c-496c-4677-a050-c654687207c1 · outbound

This paper cites Antenna activation for noma assisted pinching-antenna systems,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Antenna activation for noma assisted pinching-antenna systems,

Reference 27

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:14:02.743301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0e1bf4b-f750-4278-95d4-9ba2b5043aad · outbound

This paper cites A Low-Complexity Placement Design of Pinching-Antenna Systems.

Deep Learning Optimization of Two-State Pinching Antennas Systems A Low-Complexity Placement Design of Pinching-Antenna Systems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:01.879025Z

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Observation 6435ffa4-aafd-48b3-bb50-45c400fc36a7 · outbound

This paper cites Achieving network resilience through graph neural network-enabled deep reinforcement learning,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Achieving network resilience through graph neural network-enabled deep reinforcement learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:03.245001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eaa30314-1ef2-4899-9bd2-98f0fc619747 · outbound

This paper cites Energy-Efficient Resource Allocation for NOMA-Assisted Uplink Pinching-Antenna Systems.

Deep Learning Optimization of Two-State Pinching Antennas Systems Energy-Efficient Resource Allocation for NOMA-Assisted Uplink Pinching-Antenna Systems

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:02.009864Z

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Observation 0e7aed76-5132-41cd-8361-2d781b9bd912 · outbound

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

Deep Learning Optimization of Two-State Pinching Antennas Systems GPASS: Deep Learning for Beamforming in Pinching-Antenna Systems (PASS)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:02.190124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50bdbcb2-9411-4017-95cf-b1029c2c1210 · outbound

This paper cites Spatio-temporal gnn-based cell-free massive mimo network with maximal benefit-cost ratio,.

Deep Learning Optimization of Two-State Pinching Antennas Systems Spatio-temporal gnn-based cell-free massive mimo network with maximal benefit-cost ratio,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:03.118067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 452c0c52-db5a-4ea9-bcbb-e7c204490c9d · outbound

This paper cites On nonlinear fractional programming,.

Deep Learning Optimization of Two-State Pinching Antennas Systems On nonlinear fractional programming,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:02.299331Z

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Observation a774e95e-46ba-48a5-8f2b-09e200f8f271 · outbound

This paper cites A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs,.

Deep Learning Optimization of Two-State Pinching Antennas Systems A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:14:02.951625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01a9d08e-1998-46f7-964b-8e28fbebc231 · outbound

This paper cites On the Performance of Uplink Pinching Antenna Systems (PASS).

Deep Learning Optimization of Two-State Pinching Antennas Systems On the Performance of Uplink Pinching Antenna Systems (PASS)

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:01.340467Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 28299dc1-fcf7-4545-993d-2c1222e83bea · inbound

Joint Transmit and Pinching Beamforming Optimization in Pinching Antenna-Assisted Symbiotic Radio Systems cites this paper.

Joint Transmit and Pinching Beamforming Optimization in Pinching Antenna-Assisted Symbiotic Radio Systems Deep Learning Optimization of Two-State Pinching Antennas Systems

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T22:33:05.437707Z

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Unavailable: canonical work link unavailable.

Observation 313c1c7e-7392-4d14-b550-d46c4f10262a · inbound

EGS-SLAM: RGB-D Gaussian Splatting SLAM with Events cites this paper.

EGS-SLAM: RGB-D Gaussian Splatting SLAM with Events Deep Learning Optimization of Two-State Pinching Antennas Systems

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:26:06.523978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.