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Paper Citation Record · LEDGER

CVPR19 Tracking and Detection Challenge: How crowded can it get?

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1906.04567.

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

pith.paper-citation-record.v1
1906.04567 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 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:32:48.763141Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:37:04.278163Z

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 ca9c1536-82af-4844-a575-ae41d92e793f · inbound

Learning a Neural Association Network for Self-supervised Multi-Object Tracking cites this paper.

Learning a Neural Association Network for Self-supervised Multi-Object Tracking CVPR19 Tracking and Detection Challenge: How crowded can it get?

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T18:32:48.763141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:32:48.763141Z digest=sha256:95cb6e19ff0f0d885b655660b1fc930f3bdc35e66c4f1482abdd200525c0adf1

Observation 2d73213f-8b30-4e0c-813a-34ae1757f5b8 · inbound

Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity cites this paper.

Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity CVPR19 Tracking and Detection Challenge: How crowded can it get?

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T17:04:42.813436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:04:42.813436Z digest=sha256:fba853e20a88753c1faab6f9929d8067943bd610357fb9760ecf7e873f6e31db

Observation 4886e16d-59a0-4c41-afa9-8076088568cc · inbound

Answer Set Programming Energised! End-to-End Neurosymbolic Reasoning and Learning with ASP and Energy Based Models cites this paper.

Answer Set Programming Energised! End-to-End Neurosymbolic Reasoning and Learning with ASP and Energy Based Models CVPR19 Tracking and Detection Challenge: How crowded can it get?

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-10T12:37:04.280535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-07-10T12:31:45.106723Z digest=sha256:fbbd40068cc064720e0de739bbcdb45753e5166efd2553712265a7a4628ecc7a