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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.696505Z digest=sha256:cff4df3e49385dd129355bf6d897275aa4549d94066384948a25b58ec217a307

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.700982Z digest=sha256:5f1bc611844f0623acbd0d3bc5bbb63a4e1817976f66b4b40ad7ee9c2be1ba1c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.703936Z digest=sha256:cc3817c5c4d2c872d938127e0ce8fc42d735e095485d5082a74606a781d9a906

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.706891Z digest=sha256:d5a7f322398f1be732826e5ea64bdaf6bbf5040078e40e2b4dfb365e6fc4de30

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.710004Z digest=sha256:8b2d49f46461c1104fb7f017a90365a0bf662f990d621354f380e5a7d9ecf148

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.713948Z digest=sha256:c50e791a9010c2de88d96d2b536b00a0b3abd2eda9133438ab48022e162aeb8d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.717223Z digest=sha256:0071ab5944babad67beefce1343d770c1c5c8d6025422bf184d862db69ebc1a5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.720015Z digest=sha256:9d9472ab0ab93deea5349c1573b10ef92978b52b9837e40a7fdfd4b82e59e595

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.722779Z digest=sha256:1d992519bb780f312ce3a956b998163a1aac2ba04bce70e3ffacf4acd7216692

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.725664Z digest=sha256:3c133a331b83a41ab369953e9b93c3fbb6a470732aef47defd3bc9dcfd41bbfa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.728386Z digest=sha256:c3e71dbabca2c3cadb8f28da9dbadb2d216dfd10662600bbbcf95b30e3e25efe

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T18:12:23.731603Z digest=sha256:032b5ac1d0a708184b41c4f7a2e25ca09d4e3f37f838d07452a28ce4caf1f149

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T22:02:17.684627Z digest=sha256:8f3a5a5c0cebf72df92162a0ff4318907d0e4a8cc359adc159cab87a80c669cf