Paper Citation Record · LEDGER

Deep High-Resolution Representation Learning for Visual Recognition

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1908.07919.

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

pith.paper-citation-record.v1
1908.07919 v2

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

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:56.303662Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:08:50.190441Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 3bdb9156-9729-4b37-9ad9-194510492e75 · inbound

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications cites this paper.

Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications Deep High-Resolution Representation Learning for Visual Recognition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:56.303662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9388a05b-b28c-4b4d-ad9c-b4ffac82098e · inbound

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective cites this paper.

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective Deep High-Resolution Representation Learning for Visual Recognition

Reference 152

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:59.677102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7e0b6f8-2685-4116-a384-a670c3d8f940 · inbound

Panoptic Segmentation of Environmental UAV Images : Litter Beach cites this paper.

Panoptic Segmentation of Environmental UAV Images : Litter Beach Deep High-Resolution Representation Learning for Visual Recognition

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T17:37:11.182311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61b9870a-4333-41e9-ab0a-a1c63a868412 · inbound

TransForSeg: A Multitask Stereo ViT for Joint Stereo Segmentation and 3D Force Estimation in Catheterization cites this paper.

TransForSeg: A Multitask Stereo ViT for Joint Stereo Segmentation and 3D Force Estimation in Catheterization Deep High-Resolution Representation Learning for Visual Recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T12:28:44.495971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e656db5-afd7-4268-909b-06f9e6e88bd1 · inbound

Geographically-Weighted Weakly Supervised Bayesian High-Resolution Transformer for 200m Resolution Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data cites this paper.

Geographically-Weighted Weakly Supervised Bayesian High-Resolution Transformer for 200m Resolution Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data Deep High-Resolution Representation Learning for Visual Recognition

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T19:09:10.579914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cd247f0-294c-472d-b41a-68c598d1f21c · inbound

From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation cites this paper.

From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation Deep High-Resolution Representation Learning for Visual Recognition

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:00:03.843847Z

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.

Observation 5094ab4b-292f-4992-a994-584cf7cbae60 · inbound

VideoMDM: Towards 3D Human Motion Generation From 2D Supervision cites this paper.

VideoMDM: Towards 3D Human Motion Generation From 2D Supervision Deep High-Resolution Representation Learning for Visual Recognition

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:08:22.335396Z

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.

Observation 90e282d2-507a-468e-a1d7-157c4169cf7c · inbound

Impact of Hand Impairment and Occlusions on Hand Pose Estimation Accuracy in Augmented Reality Applications cites this paper.

Impact of Hand Impairment and Occlusions on Hand Pose Estimation Accuracy in Augmented Reality Applications Deep High-Resolution Representation Learning for Visual Recognition

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:08:50.191917Z

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.

Observation b053200c-ed24-4ff1-b6e8-66e6b5022616 · inbound

TactiPlay: Multi-Granularity Tactical Parsing and Video-Anchored Match Review for Amateur Badminton Players cites this paper.

TactiPlay: Multi-Granularity Tactical Parsing and Video-Anchored Match Review for Amateur Badminton Players Deep High-Resolution Representation Learning for Visual Recognition

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-07-30T11:56:58.616503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.