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Paper Citation Record · LEDGER

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge

As of 18 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 3 inbound Pith citation observations for arXiv:2412.16947.

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

pith.paper-citation-record.v1
2412.16947 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:00:45.941004Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:53:41.874260Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T13:33:09.645383Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24468f13-01cc-4c7c-ba88-24b1262bc4c9 · outbound

This paper cites Air-to-air visual detection of micro-uavs: An experimental evaluation of deep learning,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Air-to-air visual detection of micro-uavs: An experimental evaluation of deep learning,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:45.861757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:45.861757Z digest=sha256:2da31063530cc9239914d415b8781b2a269f3a0f7dda94cacd3f238f28cc0b50

Observation 30b3552c-296d-46a2-8ae7-dfe09357e0e0 · outbound

This paper cites Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.212095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.867719Z digest=sha256:efea5cc6b8b6ecb3766fda14386d4d1e6ddd3757e2423b46eb5d0ad9f8000dbe

Observation 4cf4a5f6-8bf1-4f51-8b4a-fae5c3dd1c3d · outbound

This paper cites Real-time small drones detection based on pruned yolov4,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Real-time small drones detection based on pruned yolov4,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:45.872084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:45.872084Z digest=sha256:0275e540774c1211ef0a7536a65173b484990978a5b9b7de7d3f5c3ff7ec5ca9

Observation 94f8edae-47ee-48d8-88ef-cfa9afffe476 · outbound

This paper cites A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-11T06:00:45.981543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.876321Z digest=sha256:008c9b59dc9b639fe50004d2d7facaca91b3b2df0b137d0ce6305c0b40c6a59f

Observation 313a334c-299f-4d1c-8d94-04df0b73883c · outbound

This paper cites Real- time and accurate drone detection in a video with a static background,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Real- time and accurate drone detection in a video with a static background,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.190748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.880948Z digest=sha256:a912d7f9c3a08b128c4d84747bc4311662b0f26e89e33ae3535130c4797f422e

Observation 919dd504-5465-4142-a54d-2da4e00a529d · outbound

This paper cites Small low-contrast target detection: Data-driven spatiotemporal feature fusion and implementa- tion,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Small low-contrast target detection: Data-driven spatiotemporal feature fusion and implementa- tion,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.179334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.885235Z digest=sha256:0749afdd7de0f4be920b0f86fa357945d9e64db77ce7ed0b7ccfe6a6c4a89ead

Observation ed504b3b-40e2-46e0-9ed2-9994f4909bc4 · outbound

This paper cites Adaptive switching spatial-temporal fusion detection for remote flying drones,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Adaptive switching spatial-temporal fusion detection for remote flying drones,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.166543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.889767Z digest=sha256:5abc95f974671e527601658d0cea30dceae53c52091b19f5c6c2301f2e1a4417

Observation 480d8f30-f1c0-4dfd-94c1-e8235fe96c39 · outbound

This paper cites Detection, localization, and tracking of multiple mavs with panoramic stereo camera networks,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Detection, localization, and tracking of multiple mavs with panoramic stereo camera networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.153215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.893377Z digest=sha256:832fb2b3d3b49b1308759a5e49f246a3e67c536839e524926a70d40288fa1067

Observation 1acca5f5-6f30-475d-9723-112a25abb743 · outbound

This paper cites Fast and robust uav to uav detection and tracking from video,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Fast and robust uav to uav detection and tracking from video,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.141104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.897171Z digest=sha256:864169bc07ee143d0fef0937080d11c346519b8a52d621a2146ab17d5439f70b

Observation f82ac176-f8d4-44be-8f0d-d17feb75326d · outbound

This paper cites Dogfight: Detecting drones from drones videos,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Dogfight: Detecting drones from drones videos,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.127474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.901088Z digest=sha256:021858b21f45b4dd737ae486a5a1150b8e4d8683ba4e77c7914ec7dc56061e24

Observation 5d65da94-88c8-438d-a70f-7babcf349f50 · outbound

This paper cites Low in resolution, high in precision: Uav detection with super-resolution and motion information extraction,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Low in resolution, high in precision: Uav detection with super-resolution and motion information extraction,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.113816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.905226Z digest=sha256:df55c825d94eab952d99dd4f34ad7b3de4ce19f5a2a43a9498035ce3f8765f4b

Observation 1f74dbb6-3231-434f-ac6e-52830f72dbff · outbound

This paper cites Audio array-based 3d uav trajectory estimation with lidar pseudo-labeling,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Audio array-based 3d uav trajectory estimation with lidar pseudo-labeling,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.099652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.909561Z digest=sha256:aa116a5d1ec4da6800141c9343d78f3879ed213581fc0bcf6bc69167e1528f72

Observation 7a4197cd-ce7c-44a8-adc8-e7664d55c7e3 · outbound

This paper cites Adaptive lidar scan frame integration: Tracking known mavs in 3d point clouds,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Adaptive lidar scan frame integration: Tracking known mavs in 3d point clouds,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.085847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.914063Z digest=sha256:91c7c113e52638d089211b48e0e01bdbdef6a2b3f482a278e23ba419bdca4422

Observation 19ab0557-b50a-4549-98de-c91cde3b0ec8 · outbound

This paper cites Drone detection using sparse lidar mea- surements,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Drone detection using sparse lidar mea- surements,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.070011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.918693Z digest=sha256:b7574b9e039eea6a9db7b47b4481a9ebf5ba07839d4c8c4146d187a84b6b99d2

Observation d11e4ee8-4ae7-4b5c-8396-6fd7674b76c0 · outbound

This paper cites Detection and tracking of small objects in sparse 3d laser range data,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Detection and tracking of small objects in sparse 3d laser range data,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.056376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.923256Z digest=sha256:345032df7ea6f3fe41d262bb0e1fc9a267480fa5148a0e39b7cf247cb62dc5f8

Observation fceed11a-eefe-4c05-814b-1e045abb2136 · outbound

This paper cites Study on target detection and tracking method of uav based on lidar,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Study on target detection and tracking method of uav based on lidar,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.041546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.927714Z digest=sha256:a8fae3b69f666f9535e361fc198ebd65369f9559925321ad7d954210bc4041df

Observation f8336d13-b0f3-4c9f-a3d7-f2e33d50ca6f · outbound

This paper cites Uav tracking with lidar as a camera sensor in gnss-denied environ- ments,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Uav tracking with lidar as a camera sensor in gnss-denied environ- ments,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.024384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.932418Z digest=sha256:f1047380c0c953996a0c2a2286a01ae5ce8ca9df4829d3d48f7a0cc9e5d2bbc0

Observation 45bbcfbf-b8ee-49e7-9a3b-dd8bef29ca37 · outbound

This paper cites Unsupervised uav 3d trajectories estimation with sparse point clouds,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Unsupervised uav 3d trajectories estimation with sparse point clouds,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:46.010962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.936586Z digest=sha256:98f57973f809b2adc83614f2a82bf74509c4f01ee9a9c9e47305cdcd5bec1d56

Observation 8e96d4e8-f143-4192-87e2-6874dd4f352f · outbound

This paper cites Tame: Temporal audio-based mamba for enhanced drone trajectory estimation and classification,.

Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge Tame: Temporal audio-based mamba for enhanced drone trajectory estimation and classification,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:45.996233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T06:00:45.941004Z digest=sha256:479fd844ec483b25ab61ef0d45c106653a82f83ef1908c313e1affc333787ac9

Pith citing papers

Observation 91c8f223-104f-49da-b746-108583c26112 · inbound

Audio Array-Based 3D UAV Trajectory Estimation with LiDAR Pseudo-Labeling cites this paper.

Audio Array-Based 3D UAV Trajectory Estimation with LiDAR Pseudo-Labeling Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T13:53:41.874260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:53:41.874260Z digest=sha256:fe37d9f62a3d3e4f7a9386d739e4b147be969158135fc93197959c933bc99574

Observation 9dba8005-709d-4910-a295-d318c294c77e · inbound

Unsupervised UAV 3D Trajectories Estimation with Sparse Point Clouds cites this paper.

Unsupervised UAV 3D Trajectories Estimation with Sparse Point Clouds Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T13:52:38.549965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:52:38.549965Z digest=sha256:f07a0f7564ccf5ba4f5eee7addeb45e94036febab3b3d041533597bd77653a4e

Observation c99b73a6-02d4-4caf-9136-8ce7240892cf · inbound

TAME: Temporal Audio-based Mamba for Enhanced Drone Trajectory Estimation and Classification cites this paper.

TAME: Temporal Audio-based Mamba for Enhanced Drone Trajectory Estimation and Classification Separating Drone Point Clouds From Complex Backgrounds by Cluster Filter -- Technical Report for CVPR 2024 UG2 Challenge

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:33:09.652242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T13:33:09.240121Z digest=sha256:4663f31fc061169b76a68893ab3d2bed1380dd3969a4f45ac1781096e7b0cdd1