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Paper Citation Record · LEDGER

TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1803.10794.

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

pith.paper-citation-record.v1
1803.10794 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:22:54.592843Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:45:50.228852Z

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 93aa1c42-0e3b-4b8a-a83f-dbbcfe28bbee · inbound

Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment cites this paper.

Leader360V: The Large-scale, Real-world 360 Video Dataset for Multi-task Learning in Diverse Environment TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T00:22:54.592843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:22:54.592843Z digest=sha256:3536f8f72c601a9333c5480a7eb368c957417ad6afb8c11c8b676efbaad2a439

Observation 4a93ea05-638a-4e02-b5e6-856756bd95ee · inbound

PhyEdit: Towards Real-World Object Manipulation via Physically-Grounded Image Editing cites this paper.

PhyEdit: Towards Real-World Object Manipulation via Physically-Grounded Image Editing TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:39:21.973416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:54:47.451103Z digest=sha256:966a0416e0f193df2cdb3040b7a71e5443e3585471f353fbff3007e6cd522c97