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Paper Citation Record · LEDGER

CenterNet: Keypoint Triplets for Object Detection

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.08189.

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

pith.paper-citation-record.v1
1904.08189 v3

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:08:34.830855Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:03:10.428961Z

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 89159520-3b0b-4523-b5ee-6981d2b85a93 · inbound

Screen2AX: Vision-Based Approach for Automatic macOS Accessibility Generation cites this paper.

Screen2AX: Vision-Based Approach for Automatic macOS Accessibility Generation CenterNet: Keypoint Triplets for Object Detection

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T15:08:34.830855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:08:34.830855Z digest=sha256:78127186f4ae8cc12bb25418eb1b0009760536772f789bc0cbf294aa0522db0a

Observation 2d539922-2741-4f0d-860a-de3f0ba7b6b9 · inbound

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning cites this paper.

SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning CenterNet: Keypoint Triplets for Object Detection

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:03:10.431572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T22:03:09.635123Z digest=sha256:8cc39b3279ae14fce09db09b8ccfc0d17fb80a17201d35cb8698557efae2f450