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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 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.867719Z digest=sha256:6202b34c3db9a896f34491769f4869992c9b6b1cff1dc92a3230eef774596751

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.876321Z digest=sha256:80993be9eb17e5cd31e29f84432faf623e4b2eeed6924f1530d6d59985f9f9fe

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.880948Z digest=sha256:ff3969e1e92c47d51dec37c32ccb8922f8998165058c8947014408828bc8ac1b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.885235Z digest=sha256:e584cc5c7207e3a15a66c4df3e23d8f5ae267cfcf982c0925cc7218d728cdaf6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.889767Z digest=sha256:eb563d9ab25f74b32314ea2cd59a4407f96025e80f8c2d26b50ec517478b9e5e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.893377Z digest=sha256:0571916c0d54ab96ce12813e3a74e701b69330b610d2f605f5ec987526118fe3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.897171Z digest=sha256:1a631c51fd092f7a7c40a29eb97587465a059b132173f12b266223e4a86efd43

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.901088Z digest=sha256:4440d48a05542b6445d548c4226ffa564e34ec257c93e2c3c31c2c367006306c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.905226Z digest=sha256:c9d1d18afd8dff57a08423385215ae2a624f09f58d7093c370fbc8302841abea

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.909561Z digest=sha256:78860dbbadd6bf994eba7cf63450a373c94039251f172706ad2cd95e3f9296d7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.914063Z digest=sha256:da445fd33b00a5ac670348efac23c2e927eeb0344aa0a3a45768cb6f25f6feac

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.918693Z digest=sha256:038eee501f0ffd313f90054b2b70ab23497579db242ca190279db0d50d14aaf8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.923256Z digest=sha256:9b312c184be0b1523057b727fe77804138174a7bba84b5020c932163761b856f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.927714Z digest=sha256:9ec5906de6c74729e1f6715281174de26d47428472f9a629d4a87a0dad713a4c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.932418Z digest=sha256:1f12159c34d159ef32cdd50744e9e1e51850f93cac6e9988e53800fc4f4916f5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.936586Z digest=sha256:8d6fbd6ba3fc3f528293bfca4f70a158598e48f547b5efbc94c389116a182c6b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T06:00:45.941004Z digest=sha256:b1941ddbe24d40937ae8afbc960f69a73bec250c58713e09b0d42d543ff9fbac

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=sha256:7d61cb1a1df98a30fb9be9cf8905188cbe4b7aa45cab97d990bdec93e6adfcad

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T13:33:09.240121Z digest=sha256:5c8e16b081cd53b2efe76ec61f549d1146d6d152abb3cff95dc8b8f7a7058034