Paper Citation Record · LEDGER

Generative CKM Construction using Partially Observed Data with Diffusion Model

As of 23 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 3 inbound Pith citation observations for arXiv:2412.14812.

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

pith.paper-citation-record.v1
2412.14812 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:56:54.283467Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:47:49.004898Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:17:44.909746Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy13
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6cf6f2e7-1244-44dc-ab8d-db58fa7cd9a7 · outbound

This paper cites A tutorial on near-field XL-MIMO communications towards 6G,.

Generative CKM Construction using Partially Observed Data with Diffusion Model A tutorial on near-field XL-MIMO communications towards 6G,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.463538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 315d1885-cc4c-496a-b8df-ea03e52038ed · outbound

This paper cites Analog beamforming in MIMO communications with phase shift networks and online channel estimation,.

Generative CKM Construction using Partially Observed Data with Diffusion Model Analog beamforming in MIMO communications with phase shift networks and online channel estimation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.453007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7512dcd7-4d89-4feb-98c4-9aa4ea7e2810 · outbound

This paper cites Toward environment-aware 6G communications via channel knowledge map,.

Generative CKM Construction using Partially Observed Data with Diffusion Model Toward environment-aware 6G communications via channel knowledge map,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T11:56:54.235538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 992e3c84-2540-49f1-8f51-d501a0a4326b · outbound

This paper cites A tutorial on environment-aware communications via channel knowledge map for 6G,.

Generative CKM Construction using Partially Observed Data with Diffusion Model A tutorial on environment-aware communications via channel knowledge map for 6G,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.437899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee6c6e4c-2ffc-4565-a74f-42b0a4c69091 · outbound

This paper cites How much data is needed for channel knowledge map construction?.

Generative CKM Construction using Partially Observed Data with Diffusion Model How much data is needed for channel knowledge map construction?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T11:56:54.241928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f59ab698-f56d-4e95-805d-8d2a4cada923 · outbound

This paper cites Channel knowledge map for environment-aware communications: EM algorithm for map construc- tion,.

Generative CKM Construction using Partially Observed Data with Diffusion Model Channel knowledge map for environment-aware communications: EM algorithm for map construc- tion,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.421693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b8534bf6-490d-4500-98ff-adf4c8c36dbf · outbound

This paper cites An adaptive k-nearest neighbor algorithm,.

Generative CKM Construction using Partially Observed Data with Diffusion Model An adaptive k-nearest neighbor algorithm,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.411688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e4692b74-8244-4414-9596-17c15e6b7da2 · outbound

This paper cites Fixed rank kriging for cellular coverage analysis,.

Generative CKM Construction using Partially Observed Data with Diffusion Model Fixed rank kriging for cellular coverage analysis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.401373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7c108097-b227-43b4-a3c2-389de3d4b965 · outbound

This paper cites Reducing the calibration effort for probabilistic indoor location estimation,.

Generative CKM Construction using Partially Observed Data with Diffusion Model Reducing the calibration effort for probabilistic indoor location estimation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.391896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc845a88-ae11-408e-8e0f-425fe13cdd9d · outbound

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

Generative CKM Construction using Partially Observed Data with Diffusion Model Radiounet: Fast radio map estimation with convolutional neural networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.382948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3b52c9b1-26d8-4c7f-9de7-36be76ea90df · outbound

This paper cites RME-GAN: A learning framework for radio map estimation based on conditional generative adversarial network,.

Generative CKM Construction using Partially Observed Data with Diffusion Model RME-GAN: A learning framework for radio map estimation based on conditional generative adversarial network,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T11:56:54.262665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b9fa04-a71f-4ce3-9f27-101bc9b8e04c · outbound

This paper cites Radiodiff: An effective generative diffusion model for sampling-free dynamic radio map construction,.

Generative CKM Construction using Partially Observed Data with Diffusion Model Radiodiff: An effective generative diffusion model for sampling-free dynamic radio map construction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.367631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a8a9c24a-bf0e-4300-8bfe-f90b6e0051e8 · outbound

This paper cites Denoising diffusion probabilistic models,.

Generative CKM Construction using Partially Observed Data with Diffusion Model Denoising diffusion probabilistic models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.357190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 79f4c9aa-cd1c-43eb-983c-fbb7e7f638c5 · outbound

This paper cites Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation.

Generative CKM Construction using Partially Observed Data with Diffusion Model Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T11:56:54.272536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3b633c1-0bad-475c-8f52-0522a6a1b557 · outbound

This paper cites CKMImageNet: A comprehensive dataset to enable channel knowledge map construction via computer vision,.

Generative CKM Construction using Partially Observed Data with Diffusion Model CKMImageNet: A comprehensive dataset to enable channel knowledge map construction via computer vision,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.346987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d608a882-70e0-41fa-9910-59ae7b01fbdd · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Generative CKM Construction using Partially Observed Data with Diffusion Model Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.336279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99c27b4a-cc19-49b4-8d23-acc329e7bd1b · outbound

This paper cites Bilinear interpolation,.

Generative CKM Construction using Partially Observed Data with Diffusion Model Bilinear interpolation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:56:54.324409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 3e2aa056-be07-4eca-899c-eedc75a82f37 · inbound

CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors cites this paper.

CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors Generative CKM Construction using Partially Observed Data with Diffusion Model

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:49.004898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8450c6b-5c26-4388-a04c-ea65a0ec5144 · inbound

You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication cites this paper.

You May Use the Same Channel Knowledge Map for Environment-Aware NLoS Sensing and Communication Generative CKM Construction using Partially Observed Data with Diffusion Model

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:12:07.220940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cbe54039-e336-4bfc-a613-3c6b46e5bfea · inbound

Scene-Conditioned PINN-GNN for Multipath RF Maps: Cross-Scene Generation and In-Scene Completion cites this paper.

Scene-Conditioned PINN-GNN for Multipath RF Maps: Cross-Scene Generation and In-Scene Completion Generative CKM Construction using Partially Observed Data with Diffusion Model

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:44.911402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.