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Paper Citation Record · LEDGER

CenterNet: Keypoint Triplets for Object Detection

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:14:45.482549Z

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

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
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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 cd367861-05c6-4c58-bd84-48a67576e6e9 · inbound

Revisiting Feature Alignment for One-stage Object Detection cites this paper.

Revisiting Feature Alignment for One-stage Object Detection CenterNet: Keypoint Triplets for Object Detection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T15:14:45.482549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:14:45.482549Z digest=sha256:eb9cbf8741b7bccd2fce9cba2efde2d9bc2c8e5366c337894ff612057a8c1995

Observation d1365e96-d5c2-4a46-a931-613bab17bbac · inbound

Recent Advances in Deep Learning for Object Detection cites this paper.

Recent Advances in Deep Learning for Object Detection CenterNet: Keypoint Triplets for Object Detection

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-14T14:08:39.713579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:08:39.713579Z digest=sha256:c6e36da0c588cb5fcf59dcc40a667ee8f1afb341e67055dcb4fff2a59d79bc79

Observation f3392a63-0609-4ab0-9f68-1a3d07ff8674 · inbound

Matrix Nets: A New Deep Architecture for Object Detection cites this paper.

Matrix Nets: A New Deep Architecture for Object Detection CenterNet: Keypoint Triplets for Object Detection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-14T13:41:14.921383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T13:41:14.921383Z digest=sha256:0ebe6ba87dfb83a4fb5467480b46f7bd2397308f3cb048970305c0c250931d6f

Observation 264a0d97-be1f-41be-8c01-64a2b5bb44ed · inbound

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning cites this paper.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning CenterNet: Keypoint Triplets for Object Detection

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T12:44:25.907253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:25.907253Z digest=sha256:3cc22a9e8f1090fdd0babae83f0b79ba256e9432819e5a0b6853fdfbde453d30

Observation bffbc01c-88c4-449b-bfa6-796e214df38f · inbound

Deep High-Resolution Representation Learning for Visual Recognition cites this paper.

Deep High-Resolution Representation Learning for Visual Recognition CenterNet: Keypoint Triplets for Object Detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-14T12:24:46.818851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:24:46.818851Z digest=sha256:3d1eec7994b83615ffc13403650eee66f28c7c226f8c642267247517c9527e72

Observation 72f10c34-43d3-451d-a116-73654f887e1d · inbound

Training-Time-Friendly Network for Real-Time Object Detection cites this paper.

Training-Time-Friendly Network for Real-Time Object Detection CenterNet: Keypoint Triplets for Object Detection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T05:50:01.245858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:50:01.245858Z digest=sha256:2c6c56a3a9050eef10049bb32255cdd26b8ff457df7156cafcf28932563c0489

Observation c394674c-5de4-4245-87e0-b65f81e97dd6 · inbound

AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy cites this paper.

AFP-Net: Realtime Anchor-Free Polyp Detection in Colonoscopy CenterNet: Keypoint Triplets for Object Detection

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T04:53:29.995731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:53:29.995731Z digest=sha256:3b9be61c0c0842f6202297036ff6dab1a8737df1a13e93bb2274faaf3a5fab83

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:b936893ef4cfb4630e6c33aaffab6b4e17b5a4be0963bbbe91577e9edca72834

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T22:03:09.635123Z digest=sha256:aa9634a12e1bd5b1c4a24160718b5d2627f4665bdc2c8265dadf9dd7467506cc