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Paper Citation Record · LEDGER

Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.09393.

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

pith.paper-citation-record.v1
2012.09393 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:05:26.071263Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

10
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c2ba877c-fdf6-4a69-94bd-729d87208acd · inbound

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention cites this paper.

YO-CSA-T: A Real-time Badminton Tracking System Utilizing YOLO Based on Contextual and Spatial Attention Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T21:05:26.071263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:05:26.071263Z digest=sha256:4abd0c88fb0163016fa00c065935f3ba57c6ff82dc42d7fe3556cbbf2aa84f2e

Observation 2b7f3417-f2d2-41f5-b0a1-6eb2531e901b · inbound

Tracking Moose using Aerial Object Detection cites this paper.

Tracking Moose using Aerial Object Detection Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:07:27.610191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T13:07:26.450100Z digest=sha256:6987e4ee637a3db26975a8224394bbd91a41dbaf580420a21580e475e9bffe92