Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T08:44:02.202288Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2605.29538.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T08:44:02.202288Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
39 of 39 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a5c8489d-48d3-4de8-995e-510d83af5605 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Blockage- resilient integrated sensing and communication in mmwave networks: Multi-view collaboration and efficient task allocation,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b78827e-1694-473f-9f56-5b873426f06e · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Cram ´er-rao bound analysis and beam- forming design for integrated sensing and communication with extended targets,
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f86677f-7b35-41a6-9fa6-9b214f59d37c · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling A spatiotemporal approach for secure crowd- sourced radio environment map construction,
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9e8ab61-ea25-4073-ba26-c82bfeba8fab · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Wireless communications with reconfigurable intelligent surface: Path loss modeling and experimental measurement,
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 520b9b59-3b0c-4c10-8401-b8db31a488b6 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Radiounet: Fast radio map estimation with convolutional neural networks,
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc70efb9-fe15-4c41-82ce-d9c28e893900 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Dataset of pathloss and toa radio maps with localization application,
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a66cd119-2724-44d9-8437-7b066505deb7 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Joint trajectory and communication design for multi-uav enabled wireless networks,
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 531d623c-4ec2-48bf-bb16-96b908c376ee · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling A mobility-resilient spectrum sharing framework for operating wireless uavs in the 6 ghz band,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf3a9574-e89b-4a99-9267-2ce25a23a091 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Sparse bayesian learning-based hierarchical construction for 3d radio environment maps incorporating channel shadowing,
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f30dd52f-1684-4ba5-afb4-e7b6b4804efd · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Radio map assisted multi-uav target searching,
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b63e3358-cbf2-45c8-8749-d878bea2342b · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Radioformer: A multiple-granularity radio map estimation transformer with 1‱spatial sampling,
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc72149a-8c45-4222-9912-ab477506027d · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Bayesian active learning for sample efficient 5g radio map reconstruction,
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62f2c0e8-c856-42b9-b61b-86197ef2eda7 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Deep completion autoencoders for radio map estimation,
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9cb23d1-d799-4b16-8dfe-169145db7e37 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling A self-supervised learning-based channel estimation for irs-aided communication without ground truth,
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8efab5db-a06a-44d7-b273-2516cdd2cd3e · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Wide- band millimeter-wave propagation measurements and channel models for future wireless communication system design,
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 557407f9-9dcd-4405-a628-8628cb0f3ab6 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Ray tracing for radio propagation modeling: Principles and applications,
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1353c92a-2103-4118-a238-10ea407347a3 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling A statistical basis for lognormal shadowing effects in multipath fading channels,
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f24738aa-ddf5-4bfc-ace7-6db836a69c79 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Radio map estimation: A data-driven approach to spectrum cartography,
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98d18147-1bfd-4cd1-8cba-c6cbf86746fa · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling U-net: Convolutional networks for biomedical image segmentation,
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25dc1684-8565-4d24-81db-d6b7d1722b18 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Paying deformable attention to sparse spatial observations for deep radio map estimation,
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f00ba568-b96f-49d5-8029-6de6dfbe907f · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Deformable convolutional networks,
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b37fa2a0-3cdb-43db-a736-f9ff82b2c67e · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Deformable convnets v2: More deformable, better results,
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c860a32-071c-4882-8f09-494129bd64e9 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Radiodun: A physics-inspired deep unfolding network for radio map estimation,
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 902b8872-7b95-44ad-9a3c-c71b765e4103 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Pmnet: Robust pathloss map prediction via supervised learning,
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 849af535-d309-4049-b962-ff7b8c4a69ba · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Attention is all you need,
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4a1a06a-e7f7-45c8-a231-3cfc405efed3 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Nerf: Representing scenes as neural radiance fields for view synthesis,
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fad7ce60-f616-4360-adde-dbbb028695bd · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling 3d gaussian splatting for real-time radiance field rendering
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bf52ca5-2b98-47df-9e90-ed62d74d0c04 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Nerf2: Neural radio-frequency radiance fields,
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02e4959c-3cae-4384-b16c-e12a3ab38349 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction
Reference 30
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 788070c4-5e88-4f80-8d33-07321d23081b · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Neural representation for wireless radiation field reconstruction: A 3d gaussian splatting approach,
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26af0987-140f-4736-a6d4-dde63618f0ed · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling An image is worth 16x16 words: Trans- formers for image recognition at scale,
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42b2b82a-e5e0-49a7-8a9f-0c3b3f791642 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Bracewell,The Fourier Transform and its Applications, Tokyo
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4826fe0-f4b1-4197-9fc7-13ab57c0fb84 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Learning represen- tations by back-propagating errors,
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17f327f7-eb19-464d-a502-7724eb899d35 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Unresolved cited work
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32ed60b9-c87b-4d92-9944-9c5df0a02d97 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Radiodiff-3d: A 3d× 3d radio map dataset and generative diffusion based benchmark for 6g environment-aware communication,
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b8741d9-f131-4065-b41b-f846560a227a · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Generative ai on spectrumnet: An open benchmark of multiband 3- d radio maps,
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 944ee3a3-5a0f-4570-9397-d97d9f796b1d · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Image quality assessment: from error visibility to structural similarity,
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b359262-a93f-40e2-bb12-75b5c48d7ebb · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Radiodiff: An effective generative diffusion model for sampling-free dynamic radio map construction,
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37970221-5f28-4851-84ba-6c73e0a5bb33 · outbound
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling Physics-informed diffusion model for radio environment map reconstruction from sparse measurements,
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.