Paper Citation Record · LEDGER

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning

As of 22 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2411.17716.

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

pith.paper-citation-record.v1
2411.17716 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:01:14.461548Z

measured 14 of 14 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:26:09.325071Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:01:52.852387Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy4
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af99b9c9-74da-4abb-a34a-12757c400c61 · outbound

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

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning Toward environment-aware 6G communications via channel knowledge map,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T17:01:14.392100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23e31280-1f2f-45b9-9209-24792cd0e1d3 · outbound

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

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning A tutorial on environment-aware communications via channel knowledge map for 6G,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T17:01:14.398149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 526caf4a-15a6-45f2-8350-2c170bcab183 · outbound

This paper cites Environment-aware hybrid beamforming by leveraging channel knowledge map,.

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning Environment-aware hybrid beamforming by leveraging channel knowledge map,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T17:01:14.403333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da6439e7-7211-4ccd-872c-2daeec027768 · outbound

This paper cites Site-specific propagation prediction for wireless in-building personal communication system design,.

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning Site-specific propagation prediction for wireless in-building personal communication system design,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:01:14.623698Z

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 6384e9c2-6540-45ac-addc-359d6445652d · outbound

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

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning RadioUNet: Fast radio map estimation with convolutional neural networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T17:01:14.416417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da969eb-c00e-4a30-ad87-231fe565ddce · outbound

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

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning How much data is needed for channel knowledge map construction?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T17:01:14.422010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1c0613e-a35d-4ff8-a232-cb8e8b62984a · outbound

This paper cites Learning-based remote channel inference: Feasibility analysis and case study,.

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning Learning-based remote channel inference: Feasibility analysis and case study,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T17:01:14.428572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b6aa31d-00b7-4138-9703-e485b84e2d2c · outbound

This paper cites Deep learning for TDD and FDD massive MIMO: Mapping channels in space and frequency,.

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning Deep learning for TDD and FDD massive MIMO: Mapping channels in space and frequency,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T17:01:14.434758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e93537ee-7bfb-4af3-a275-194acee6c10f · outbound

This paper cites U-Net: Convolutional net- works for biomedical image segmentation,.

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning U-Net: Convolutional net- works for biomedical image segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:01:14.557441Z

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 44c5584d-5bde-492e-b830-da1cf9784264 · outbound

This paper cites Dataset of Pathloss and ToA Radio Maps With Localization Application.

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning Dataset of Pathloss and ToA Radio Maps With Localization Application

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T17:01:14.445993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04db70f3-7504-4f79-b1f2-86304ec89731 · outbound

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

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning CKMImagenet: A comprehensive dataset to enable channel knowledge map construction via computer vision,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:01:14.539196Z

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 c9e92e3d-0a76-46ec-88d6-11eac0a6349d · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 GHz,.

Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning Study on channel model for frequencies from 0.5 to 100 GHz,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:01:14.520699Z

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.

Pith citing papers

Observation a048e7d3-5632-4431-b10c-0810297fa915 · inbound

Supporting Urban Low-Altitude Economy: Channel Gain Map Inference Based on 3D Conditional GAN cites this paper.

Supporting Urban Low-Altitude Economy: Channel Gain Map Inference Based on 3D Conditional GAN Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:26:09.325071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b216c1-3b5f-4cab-aa99-e11b57c8206e · 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 Generating CKM Using Others' Data: Cross-AP CKM Inference with Deep Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:01:52.863973Z

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.