Paper Citation Record · LEDGER

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning

As of 19 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 5 inbound Pith citation observations for arXiv:2505.15571.

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

pith.paper-citation-record.v1
2505.15571 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:20:20.900451Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:16:14.864776Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T04:50:33.064222Z

Reference resolution

45 of 45 outbound references displayed

verified exact1
verified fuzzy35
unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf971e28-bbdb-4a3e-a991-0acb98b3df9e · outbound

This paper cites UAV Swarm-enabled Collaborative Post-disaster Communications in Low Altitude Economy via a Two-stage Optimization Approach.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning UAV Swarm-enabled Collaborative Post-disaster Communications in Low Altitude Economy via a Two-stage Optimization Approach

Reference 1

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Observation 8a9703c8-d3d0-4ddb-9341-6f8052fdcce5 · outbound

This paper cites Dynamic spectrum cartography: Reconstructing spatial-spectral-temporal radio frequency map via tensor completion,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Dynamic spectrum cartography: Reconstructing spatial-spectral-temporal radio frequency map via tensor completion,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:27.223564Z

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Observation 181ac2c2-9ff8-460e-931c-807686abeafc · outbound

This paper cites Efficient al- gorithms for air-to-ground channel reconstruction in UAV-aided communications,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Efficient al- gorithms for air-to-ground channel reconstruction in UAV-aided communications,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:27.066582Z

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Observation 7ce35236-b32f-42a1-8919-b4b1ba6bd6d3 · outbound

This paper cites Wireless sensor network for spectrum cartography based on krig- ing interpolation,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Wireless sensor network for spectrum cartography based on krig- ing interpolation,

Reference 4

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Observation eff8a092-b5a0-4aae-b2cc-e26070af33a3 · outbound

This paper cites A comparison of in- terference cartography generation techniques in cognitive radio networks,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning A comparison of in- terference cartography generation techniques in cognitive radio networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.728403Z

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Observation a30da209-c4e3-4a2f-a6a5-1f11ea0851f7 · outbound

This paper cites Deep spectrum cartography: Completing radio map tensors using learned neural models,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Deep spectrum cartography: Completing radio map tensors using learned neural models,

Reference 6

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Observation 8db91e04-66e2-4987-a7c3-f2643c86e62d · outbound

This paper cites Deep completion autoencoders for radio map estimation,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Deep completion autoencoders for radio map estimation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.561673Z

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Observation 466eebb6-c481-4364-b454-c0e63d8c3efd · outbound

This paper cites Spectrum cartography techniques, challenges, opportunities, and applications: A survey,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Spectrum cartography techniques, challenges, opportunities, and applications: A survey,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.408440Z

Source-reported events for the cited work

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Observation 19310163-4d55-4298-a59a-b61a1639e6e4 · outbound

This paper cites Spectrum surveying: Active radio map estimation with autonomous UAVs,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Spectrum surveying: Active radio map estimation with autonomous UAVs,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.225698Z

Source-reported events for the cited work

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Observation dad1e0b0-ff02-42e6-bc5e-35f3b982d05a · outbound

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

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Generative AI-enabled Wireless Communications for Robust Low-Altitude Economy Networking

Reference 10

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Observation 22a5b192-9245-467a-8c97-8c10414c1482 · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:26.078052Z

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Observation 6ff4f3b1-a714-4979-a29d-46f6c448d125 · outbound

This paper cites Efficient MAE towards large-scale vision transformers,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Efficient MAE towards large-scale vision transformers,

Reference 12

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Observation ae2ca5d2-75a3-472f-9dee-61b6db0f8883 · outbound

This paper cites Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:25.693495Z

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Observation eead754d-17d9-4756-8c36-9221b363e530 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Masked autoencoders are scalable vision learners,

Reference 14

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Source-reported events for the cited work

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Observation ce9755d0-4bca-402b-b387-613e490725c6 · outbound

This paper cites Radio map estimation: A data-driven approach to spectrum cartography,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Radio map estimation: A data-driven approach to spectrum cartography,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:25.351015Z

Source-reported events for the cited work

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Observation abd1fe79-49ec-4369-bdca-0f12183af07c · outbound

This paper cites A joint tensor completion and prediction scheme for multi-dimensional spectrum map construction,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning A joint tensor completion and prediction scheme for multi-dimensional spectrum map construction,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:25.144487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2f42169f-9be7-480a-83d8-2ecd0168e86e · outbound

This paper cites Tensor comple- tion for radio map reconstruction using low rank and smooth- ness,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Tensor comple- tion for radio map reconstruction using low rank and smooth- ness,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:24.981771Z

Source-reported events for the cited work

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Observation 1409dd36-c023-4566-817c-6be0f5e92267 · outbound

This paper cites Spectrum cartography via coupled block-term tensor decomposition,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Spectrum cartography via coupled block-term tensor decomposition,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:24.838427Z

Source-reported events for the cited work

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Observation d4ac8b8e-766a-4809-96d2-aacfc9192098 · outbound

This paper cites A two-phase transfer learning- based power spectrum maps reconstruction algorithm for under- lay cognitive radio networks,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning A two-phase transfer learning- based power spectrum maps reconstruction algorithm for under- lay cognitive radio networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:24.703484Z

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Observation 1bd3ae1f-5150-4323-97d4-670ce9169c22 · outbound

This paper cites RadioUNet: Fast radio map estimation with convolutional neural networks,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning RadioUNet: Fast radio map estimation with convolutional neural networks,

Reference 20

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Observation a975ae48-0ece-4124-9303-47f392f4b191 · outbound

This paper cites Deep-learning-based radio map recon- struction for V2X communications,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Deep-learning-based radio map recon- struction for V2X communications,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:24.408059Z

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Observation 8aa73708-3262-479c-b16a-447ad213ead0 · outbound

This paper cites Generative AI for secure physical layer com- munications: A survey,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Generative AI for secure physical layer com- munications: A survey,

Reference 22

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Observation db9c9d34-fe47-4519-b65d-254efcc37024 · outbound

This paper cites A survey on vision transformer,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning A survey on vision transformer,

Reference 23

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Observation 7d9e960a-984f-4cfc-aaf4-05df8af2faf4 · outbound

This paper cites Large language model (LLM) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Large language model (LLM) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities,

Reference 24

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Observation eb080b00-2cd5-4d99-af89-e03196b52d91 · outbound

This paper cites Joint indoor localization and radio map construction with limited deployment load,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Joint indoor localization and radio map construction with limited deployment load,

Reference 25

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Observation da1d6c72-2165-4e80-9cea-c4b85e1f1583 · outbound

This paper cites 3d radio map reconstruction and trajectory optimization for cellular-connected UAVs,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning 3d radio map reconstruction and trajectory optimization for cellular-connected UAVs,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:23.507114Z

Source-reported events for the cited work

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Observation 201da6dc-2ba7-410d-bf25-dde099511e43 · outbound

This paper cites Online trajectory optimization for energy-efficient cellular-connected UAVs with map reconstruction,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Online trajectory optimization for energy-efficient cellular-connected UAVs with map reconstruction,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:23.312371Z

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Observation 9ac360dc-8b8b-4dea-9698-fc60a119d6ad · outbound

This paper cites UAV tra- jectory optimization for spectrum cartography: a PPO approach,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning UAV tra- jectory optimization for spectrum cartography: a PPO approach,

Reference 28

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Observation a098a4b1-d88e-4dbc-aa8c-31980f4095c6 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 29

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Observation 02ad5045-2cba-4814-af93-f33ea0f004fb · outbound

This paper cites Generative AI Enabled Robust Sensor Placement in Cyber-Physical Power Systems: A Graph Diffusion Approach.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Generative AI Enabled Robust Sensor Placement in Cyber-Physical Power Systems: A Graph Diffusion Approach

Reference 30

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Observation 6c50a94e-ecde-47af-ab31-1fa058770c99 · outbound

This paper cites Enhancing physical layer communication security through generative AI with mixture of experts,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Enhancing physical layer communication security through generative AI with mixture of experts,

Reference 31

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Observation dc967a1f-57a6-40b0-bd8a-27ac0130d769 · outbound

This paper cites Generative AI for integrated sensing and communica- tion: Insights from the physical layer perspective,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Generative AI for integrated sensing and communica- tion: Insights from the physical layer perspective,

Reference 33

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Observation 23f8461f-a73b-4811-b22f-ee78f9afdb40 · outbound

This paper cites Real-time outdoor localization using radio maps: A deep learning approach,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Real-time outdoor localization using radio maps: A deep learning approach,

Reference 34

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This paper cites A new algorithm for indoor RSSI radio map reconstruction,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning A new algorithm for indoor RSSI radio map reconstruction,

Reference 35

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This paper cites 3GPP TR 38.901 channel model,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning 3GPP TR 38.901 channel model,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:22.147121Z

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Observation 2e402622-94db-4b99-a43b-01e0ed179c8b · outbound

This paper cites Correlation model for shadow fading in mo- bile radio systems,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Correlation model for shadow fading in mo- bile radio systems,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:21.935014Z

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This paper cites Attention is all you need,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Attention is all you need,

Reference 38

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This paper cites Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Reference 39

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Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Partially observable markov decision processes,

Reference 40

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Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Denoising diffusion probabilistic models,

Reference 41

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Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Multi-agent actor-critic for mixed cooperative-competitive environments,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:21.701256Z

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Observation a0db8475-289c-4bed-a96a-7226d54b5d73 · outbound

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Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Deterministic policy gradient algorithms,

Reference 43

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Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning Study on channel model for frequencies from 0.5 to 100 GHz,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:21.511382Z

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Observation 040ce578-bf4c-4b8d-95fa-32656db1728d · outbound

This paper cites High-Efficiency Urban 3D Radio Map Estimation Based on Sparse Measurements.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning High-Efficiency Urban 3D Radio Map Estimation Based on Sparse Measurements

Reference 45

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Observation 071f0ab2-15ff-4329-8963-a4d95bcac20a · outbound

This paper cites 3-D placement of an unmanned aerial vehicle base station for maximum coverage of users with different QoS requirements,.

Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning 3-D placement of an unmanned aerial vehicle base station for maximum coverage of users with different QoS requirements,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:20:21.266009Z

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Pith citing papers

Observation 14d3b139-496f-4695-b148-ff82ad4cbef0 · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning

Reference 109

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Observation 5edeaaea-dbd8-40ad-bb59-91457b855e73 · inbound

Vision-Aided ISAC in Low-Altitude Economy Networks via De-Diffused Visual Priors cites this paper.

Vision-Aided ISAC in Low-Altitude Economy Networks via De-Diffused Visual Priors Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning

Reference 30

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Source-reported events for the cited work

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Observation ff859b2f-dd4f-43e6-bbd6-184f411b9b5a · inbound

Energy-Efficient RSMA-enabled Low-altitude MEC Optimization Via Generative AI-enhanced Deep Reinforcement Learning cites this paper.

Energy-Efficient RSMA-enabled Low-altitude MEC Optimization Via Generative AI-enhanced Deep Reinforcement Learning Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:55.094209Z

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Observation 7b1727ab-afb5-4af4-8020-81de3bad3ef8 · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning

Reference 219

Resolution: unresolved; no resolver link, observed 2026-08-05T16:21:00.299011Z

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Observation 070b6789-4c0b-475c-b6d5-f91345ace330 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Temporal Spectrum Cartography in Low-Altitude Economy Networks: A Generative AI Framework with Multi-Agent Learning

Reference 215

Resolution: verified exact; local_arxiv, observed 2026-08-05T04:50:33.068784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.