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Paper Citation Record · LEDGER

An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.06079.

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

pith.paper-citation-record.v1
1809.06079 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T17:17:58.095842Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T17:19:44.031651Z

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 529d0cce-5519-43a0-8b1a-06a484021d47 · inbound

Movement science needs different pose tracking algorithms cites this paper.

Movement science needs different pose tracking algorithms An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-24T17:19:44.036127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T17:17:58.095842Z digest=sha256:52b02a8a3731d3b0cd1183441cc70bf265bf86eff4f865f18c3a4a476c0baacb

Observation b3e49899-e82f-42ff-a081-bbfc7babe247 · inbound

2D Pre-Training for 3D Pose Estimation cites this paper.

2D Pre-Training for 3D Pose Estimation An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:11:20.446321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T06:07:05.311735Z digest=sha256:340fa30a72dfd1a2be9b29c4fd2f19aecf584e670370594b4116c348a41a755c