Paper Citation Record · LEDGER

CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2504.17323.

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

pith.paper-citation-record.v1
2504.17323 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:37:42.622222Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T05:34:20.030150Z

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 507a6501-0efd-4750-a84c-0b30a27d0192 · 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 CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:12:07.225524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8e1a8b88-864e-429c-8b67-7545e97eb174 · inbound

BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks cites this paper.

BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:52.548644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a0c827-61b2-454b-9f0a-8c6d40380040 · inbound

RadioMamba: Breaking the Accuracy-Efficiency Trade-off in Radio Map Construction via a Hybrid Mamba-UNet cites this paper.

RadioMamba: Breaking the Accuracy-Efficiency Trade-off in Radio Map Construction via a Hybrid Mamba-UNet CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T13:37:42.622222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb921094-025a-4074-8f5e-19d8bb13a08d · inbound

A Geometry Map-Based Site-Specific Propagation Channel Model for Urban Scenarios cites this paper.

A Geometry Map-Based Site-Specific Propagation Channel Model for Urban Scenarios CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:20:22.994973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 24424745-3d5e-463c-9281-9a963f24b2af · inbound

CKM Beyond Channel Gain: Spatial Correlation Map Construction with Deep Learning cites this paper.

CKM Beyond Channel Gain: Spatial Correlation Map Construction with Deep Learning CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:54:16.447614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6574a6e4-baf4-451b-a88a-9c944771abf9 · inbound

Towards Intelligent Low-Altitude Wireless Network Deployment: Differentiable Channel Knowledge Map Construction and Trajectory Design cites this paper.

Towards Intelligent Low-Altitude Wireless Network Deployment: Differentiable Channel Knowledge Map Construction and Trajectory Design CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:54.449621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1315bef1-7e28-4464-9ff2-fc39922f2df5 · inbound

Active Learning for Channel Knowledge Map Construction via Bayesian Inference Diffusion Models cites this paper.

Active Learning for Channel Knowledge Map Construction via Bayesian Inference Diffusion Models CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T05:34:20.032055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a2448248-b7cb-4989-b11c-1776a211c10e · inbound

Learning-Driven Channel Representation for Wireless Localization: From Channel Observations to Location Inference cites this paper.

Learning-Driven Channel Representation for Wireless Localization: From Channel Observations to Location Inference CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-02T00:42:12.492415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5d73fc4-0422-445f-8e05-97141b2dca31 · inbound

Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting cites this paper.

Construction and Dynamic Update of Channel Gain Maps via 3D Gaussian Splatting CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T08:32:22.495754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c8701b0-2f64-46c0-a96d-d6d4dcdc5faa · inbound

Where to Perform Channel Measurements for CKM Construction: A Random Field Theory Analysis cites this paper.

Where to Perform Channel Measurements for CKM Construction: A Random Field Theory Analysis CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned Priors

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-31T19:16:32.764759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.