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Paper Citation Record · LEDGER

GPASS: Deep Learning for Beamforming in Pinching-Antenna Systems (PASS)

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.01438.

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

pith.paper-citation-record.v1
2502.01438 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:10:28.912880Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:18:13.186753Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 735055dc-1371-40ee-96fc-4da41ad6610e · inbound

Exploiting Pinching-Antenna Systems in Multicast Communications cites this paper.

Exploiting Pinching-Antenna Systems in Multicast Communications GPASS: Deep Learning for Beamforming in Pinching-Antenna Systems (PASS)

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:28.912880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:28.912880Z digest=sha256:db387d1f864984102701a39a4862763f76d4043f29d4e2d104483ce43a43e2dc

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

A Gradient Meta-Learning Joint Optimization for Beamforming and Antenna Position in Pinching-Antenna Systems cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:21.749220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation b9428e94-3a96-4b17-8f69-6ad4497858b3 · inbound

Multigroup Multicast Design for Pinching-Antenna Systems: Waveguide-Division or Waveguide-Multiplexing? cites this paper.

Multigroup Multicast Design for Pinching-Antenna Systems: Waveguide-Division or Waveguide-Multiplexing? GPASS: Deep Learning for Beamforming in Pinching-Antenna Systems (PASS)

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:54:24.828521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:54:24.828521Z digest=sha256:0c04bf1c807fe3794538b392c031fd675ee7896471ab62cc6ac81786abe671e7

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

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

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.

source=pdf_text observed=2026-08-06T19:14:02.190124Z digest=sha256:98d70637b1c7a9cf5c74d8122d3596254e74b2f3aa9f523a3d7fb9c91a496adb

Observation fc23e6af-4e37-4530-8510-b3d07ada065b · inbound

Pinching Antenna Systems (PASS): Enabling Reconfigurable and Controllable Wireless Channels -- A Comprehensive Survey cites this paper.

Pinching Antenna Systems (PASS): Enabling Reconfigurable and Controllable Wireless Channels -- A Comprehensive Survey GPASS: Deep Learning for Beamforming in Pinching-Antenna Systems (PASS)

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:40:50.403763Z

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.

source=pdf_text observed=2026-05-10T19:39:06.149341Z digest=sha256:750699b6e0ccb1a3616852ebd80464e58c88d65976c896a131773796bcd87112

Observation 18d59f8b-3e08-45a8-a870-4ac2e6e53f70 · inbound

Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach cites this paper.

Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach GPASS: Deep Learning for Beamforming in Pinching-Antenna Systems (PASS)

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:06:06.677284Z

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.

source=pdf_text observed=2026-05-09T18:51:12.401273Z digest=sha256:0b95ab94a96198e77995294acdd20e5fa4e69d47c39db5d74e946f262fb9b4cf

Observation 6788fa5a-0066-424c-9271-47f406feec20 · inbound

Reconfigurable Antennas for Next-generation Mobile Communication Networks: A Comprehensive Survey and Tutorial cites this paper.

Reconfigurable Antennas for Next-generation Mobile Communication Networks: A Comprehensive Survey and Tutorial GPASS: Deep Learning for Beamforming in Pinching-Antenna Systems (PASS)

Reference 189

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:18:13.188306Z

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.

source=pdf_text observed=2026-06-27T08:12:28.554446Z digest=sha256:1d48818501052c9670a9e2f5f5c4a8a2f1c8f9e625212e7e8cf2768dfb79a49d