Paper Citation Record · LEDGER

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization

As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2502.13969.

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

pith.paper-citation-record.v1
2502.13969 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:12:23.731603Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T22:02:17.684627Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:39:03.406062Z

Reference resolution

12 of 12 outbound references displayed

verified exact1
verified fuzzy11
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0ad2a1c-50e8-4311-96c9-3926bcdb5433 · outbound

This paper cites RF signal source search and localization using an autonomous UA V with predefined waypoints,.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization RF signal source search and localization using an autonomous UA V with predefined waypoints,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:12:23.853247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df227652-03a3-4926-9327-b0c161a30f96 · outbound

This paper cites Fixed-Wing UA V-based air-to- ground channel measurement and modeling at 2.7 GHz in rural environment,.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization Fixed-Wing UA V-based air-to- ground channel measurement and modeling at 2.7 GHz in rural environment,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:12:23.845253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3dfb150b-d326-44f4-a242-40a866f3ab04 · outbound

This paper cites RF source localization using unmanned aerial vehicle with particle filter,.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization RF source localization using unmanned aerial vehicle with particle filter,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:12:23.836464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d926009-e1d8-492a-aa49-49fa379d1fb8 · outbound

This paper cites Impact of antenna pattern on TOA-based 3D UA V localization using a terrestrial sensor network,.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization Impact of antenna pattern on TOA-based 3D UA V localization using a terrestrial sensor network,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:12:23.827870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8238e8a6-eef4-4384-877d-eef4ab3d4578 · outbound

This paper cites Impact of 3D antenna radiation pattern in UA V air-to-ground path loss modeling and RSRP-based localization in rural area,.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization Impact of 3D antenna radiation pattern in UA V air-to-ground path loss modeling and RSRP-based localization in rural area,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:12:23.819654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9d232845-001d-48f5-9617-48958a0ecf26 · outbound

This paper cites 3D antenna pattern measurement for AERPAW experiments,.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization 3D antenna pattern measurement for AERPAW experiments,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:12:23.811163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 94cf79c0-e82f-43db-807d-ca4e6f4c8dad · outbound

This paper cites Impact of UA V 3D wobbles on the non-stationary air-to-ground channels at sub-6 GHz bands,.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization Impact of UA V 3D wobbles on the non-stationary air-to-ground channels at sub-6 GHz bands,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:12:23.802032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 82773e35-ba7c-4b92-8589-0cca31f791e4 · outbound

This paper cites Novel LSTM-based approaches for enhancing outdoor localization accuracy in 4G networks,.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization Novel LSTM-based approaches for enhancing outdoor localization accuracy in 4G networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:12:23.793549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5ded2b73-8646-4e39-aa41-625a99fdbf76 · outbound

This paper cites A comprehensive review of indoor/outdoor localization solutions in IoT era: Research challenges and future perspectives,.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization A comprehensive review of indoor/outdoor localization solutions in IoT era: Research challenges and future perspectives,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:12:23.784918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dc4f8f7b-3f7e-49cb-8f0e-29ac485789e0 · outbound

This paper cites Digital twins for supporting AI research with autonomous vehicle networks,.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization Digital twins for supporting AI research with autonomous vehicle networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:12:23.776200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 39bc5268-d583-4c29-beb8-960c4ad0cc60 · outbound

This paper cites A UAV-assisted Wireless Localization Challenge on AERPAW.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization A UAV-assisted Wireless Localization Challenge on AERPAW

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-09T18:12:23.759202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 29ed58d7-3540-4320-b3be-cc856ec0ca77 · outbound

This paper cites AERPAW AFAR Challenge,.

Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization AERPAW AFAR Challenge,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T18:12:23.767339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation e9c9228e-b2c9-4829-9bc9-34a2ee01ffd0 · inbound

UAV-CAS: A Calibrated Digital-Twin Dataset for Intrusion Detection in UAV Swarm Networks cites this paper.

UAV-CAS: A Calibrated Digital-Twin Dataset for Intrusion Detection in UAV Swarm Networks Bridging Simulation and Reality: A 3D Clustering-Based Deep Learning Model for UAV-Based RF Source Localization

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:39:03.408497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.