Paper Citation Record · LEDGER

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy

As of 22 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2504.15079.

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

pith.paper-citation-record.v1
2504.15079 v3

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:36:41.862295Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy8
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7140e0ed-61ba-40f9-b05f-3b2bb5c11efc · outbound

This paper cites 6G Non-Terrestrial Networks Enabled Low-Altitude Economy: Opportunities and Challenges.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy 6G Non-Terrestrial Networks Enabled Low-Altitude Economy: Opportunities and Challenges

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:41.803700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fad702a4-f977-43fa-a657-d306fbdd995f · outbound

This paper cites From Ground to Sky: Architectures, Applications, and Challenges Shaping Low-Altitude Wireless Networks.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy From Ground to Sky: Architectures, Applications, and Challenges Shaping Low-Altitude Wireless Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:41.808204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac27868f-0ca3-4847-9a49-267ebd6d4bb1 · outbound

This paper cites Integrated sensing and communication for low altitude economy: Opportunities and challenges,.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Integrated sensing and communication for low altitude economy: Opportunities and challenges,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:41.812352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e06425aa-e96e-4db2-8d9e-2fbb16752369 · outbound

This paper cites Multi-UA V-enabled energy- efficient data delivery for low-altitude economy: Joint coded caching, user grouping, and UA V deployment,.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Multi-UA V-enabled energy- efficient data delivery for low-altitude economy: Joint coded caching, user grouping, and UA V deployment,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:41.816132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fafe4e53-861d-4499-aed4-5bd75b924405 · outbound

This paper cites Distributed transmit beamforming: Design and demonstration from the lab to UA Vs,.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Distributed transmit beamforming: Design and demonstration from the lab to UA Vs,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:42.212113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e4e6bc3-b8d9-4782-abfa-80145e496a52 · outbound

This paper cites Deployment and robust hybrid beamforming for UA V mmWave communications,.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Deployment and robust hybrid beamforming for UA V mmWave communications,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:42.200727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7ed0280b-4b2f-4686-aa31-6ecb0143248a · outbound

This paper cites Channel estimation in underdetermined systems utilizing variational autoencoders,.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Channel estimation in underdetermined systems utilizing variational autoencoders,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:42.187191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ac6588ad-ec62-44fa-a405-f2851560490a · outbound

This paper cites ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:41.831043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da122ca-d5e0-4aca-9d7f-6be20e75cf6e · outbound

This paper cites Gen- erative semantic communications with foundation models: Perception- error analysis and semantic-aware power allocation,.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Gen- erative semantic communications with foundation models: Perception- error analysis and semantic-aware power allocation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:42.173156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5e4d666e-6e31-4259-aa9c-09666065c4dd · outbound

This paper cites Denoising diffusion model-based channel estimation in IRS-assisted ISAC sys- tems,.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Denoising diffusion model-based channel estimation in IRS-assisted ISAC sys- tems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:42.160256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 974ee7f7-b58e-44ee-9dba-f675403f3086 · outbound

This paper cites Generative AI-enabled Wireless Communications for Robust Low-Altitude Economy Networking.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Generative AI-enabled Wireless Communications for Robust Low-Altitude Economy Networking

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:41.842482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c8169c7-2410-422c-9418-56fde7e7030f · outbound

This paper cites Wireless sig- nal denoising using conditional generative adversarial networks,.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Wireless sig- nal denoising using conditional generative adversarial networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:42.147289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fcd329df-2f0c-41e6-ba86-0e5175fc76c3 · outbound

This paper cites Transformer-based predictive channel estimation for mmwave massive MIMO systems,.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Transformer-based predictive channel estimation for mmwave massive MIMO systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:42.134309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bde20fcc-0128-4369-9c02-49b434a467c3 · outbound

This paper cites Deep reinforcement learning with communication transformer for adaptive live streaming in wireless edge networks,.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Deep reinforcement learning with communication transformer for adaptive live streaming in wireless edge networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:42.121068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cef38c31-e1ac-4634-abda-6ee9fd53a13d · outbound

This paper cites Securing the Sky: Integrated Satellite-UAV Physical Layer Security for Low-Altitude Wireless Networks.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Securing the Sky: Integrated Satellite-UAV Physical Layer Security for Low-Altitude Wireless Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:41.862295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fada1958-f373-49a4-b745-f32d760953ce · outbound

This paper cites Generative AI-enabled Wireless Communications for Robust Low-Altitude Economy Networking.

Generative Artificial Intelligence for Beamforming in Low-Altitude Economy Generative AI-enabled Wireless Communications for Robust Low-Altitude Economy Networking

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:41.846666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.