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Paper Citation Record · LEDGER

SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.00249.

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

pith.paper-citation-record.v1
2108.00249 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:26:37.896114Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:35:53.642462Z

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 b0b1cdd5-10a6-46bd-92b0-d2a793596c66 · inbound

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation cites this paper.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-06T20:26:37.896114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:26:37.896114Z digest=sha256:7212a55e7070f73df9931719ea95ab8591694c0415f4b489f3719582d553d728

Observation ae1c2a9f-7595-44b5-9785-d52cfb33ff43 · inbound

Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals cites this paper.

Advances and Trends in the 3D Reconstruction of the Shape and Motion of Animals SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation

Reference 115

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:35:53.734555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:35:52.568451Z digest=sha256:ae68bcef4272b6c1a51a5bfa35dba5e5891fe8f06791ddecf0407390201f65dc