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Paper Citation Record · LEDGER

TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.14543.

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

pith.paper-citation-record.v1
2409.14543 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:47:17.668965Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:13:03.064853Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2ce3c2db-7e69-408d-be9e-14b911cc5fd9 · inbound

Do Language Models Understand Time? cites this paper.

Do Language Models Understand Time? TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps

Reference 125

Resolution
unresolved
no resolver link, observed 2026-08-11T12:47:17.668965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:47:17.668965Z digest=sha256:c79b91e336107ddc8f5f2fde98b64c34b2cd77cd088c9448e7c0ba766d3b1ae7

Observation 882cebf2-c6b5-4d6a-9487-8fcf9e65d4be · inbound

Quo Vadis, Anomaly Detection? LLMs and VLMs in the Spotlight cites this paper.

Quo Vadis, Anomaly Detection? LLMs and VLMs in the Spotlight TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T04:52:58.199928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:52:58.199928Z digest=sha256:912be6f1b3e73d887d6698816058228f572f90f2dcf66b81a2caefe566f923dd

Observation 9728254d-460f-4908-8b14-a143ce42fae5 · inbound

Evolving Skeletons: Motion Dynamics in Action Recognition cites this paper.

Evolving Skeletons: Motion Dynamics in Action Recognition TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:13:03.083041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T22:13:00.544578Z digest=sha256:aadf7e1e611deb644969ad7e8c3bb09c0dc0690b4c75af79d17890ff04da1821