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Paper Citation Record · LEDGER

High-Resolution Representations for Labeling Pixels and Regions

As of 22 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1904.04514.

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

pith.paper-citation-record.v1
1904.04514 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T23:13:52.470831Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T11:38:14.667025Z

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 05e18c50-d3bc-45a2-8957-5c12643d3dde · inbound

Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios cites this paper.

Multi-Scale Spectral Attention Module-based Hyperspectral Segmentation in Autonomous Driving Scenarios High-Resolution Representations for Labeling Pixels and Regions

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-19T08:17:10.874810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-19T08:16:46.185732Z digest=sha256:1ca4d8b541c63ca1e5f8ef31b22e95da8e0a7e609da29364472881101fa3bc31

Observation 4301cba3-1ade-45ec-ad60-1ca2b9458b4c · inbound

PaCo-FR: Patch-Pixel Aligned End-to-End Codebook Learning for Facial Representation Pre-training cites this paper.

PaCo-FR: Patch-Pixel Aligned End-to-End Codebook Learning for Facial Representation Pre-training High-Resolution Representations for Labeling Pixels and Regions

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-18T22:56:53.148589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-18T22:53:23.271423Z digest=sha256:c284a64190681bedfad15198df6ff976708b47c77ef2960a53c3ad327eeacdba

Observation 680070b1-8f03-4f48-a673-a62cebf10d5d · inbound

FMMC: Harnessing the Power of Foundation Models for Accurate Material Classification cites this paper.

FMMC: Harnessing the Power of Foundation Models for Accurate Material Classification High-Resolution Representations for Labeling Pixels and Regions

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-13T23:13:52.470831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:13:52.470831Z digest=sha256:9bfbfca621a88d2f68578f6d540f2183d160e083d28931a611ee661bdd766cb6

Observation 9a5bf11b-bb65-448b-87d5-3b5a833fd2fc · inbound

Gesture-Aware Pretraining and Token Fusion for 3D Hand Pose Estimation cites this paper.

Gesture-Aware Pretraining and Token Fusion for 3D Hand Pose Estimation High-Resolution Representations for Labeling Pixels and Regions

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-15T10:09:55.374303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-15T10:09:08.788131Z digest=sha256:1c1548deddb2e235063498d3dadf85fa5bcaa8ba23c1d02290ddcdbad59819fc

Observation 4a8a0d60-834a-46d2-9025-1fb60cb4c331 · inbound

From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving cites this paper.

From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving High-Resolution Representations for Labeling Pixels and Regions

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:05:20.438211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-15T09:02:21.114658Z digest=sha256:0bf1e1bba2579b99b03e8206a50289d966da049ae397ad694b43597899de4f57

Observation 600e354e-2abe-426a-b53d-0b26a92b3f62 · inbound

2K Retrofit: Entropy-Guided Efficient Sparse Refinement for High-Resolution 3D Geometry Prediction cites this paper.

2K Retrofit: Entropy-Guided Efficient Sparse Refinement for High-Resolution 3D Geometry Prediction High-Resolution Representations for Labeling Pixels and Regions

Reference 75

Resolution
unresolved
no resolver link, observed 2026-07-13T21:45:59.210064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:45:59.210064Z digest=sha256:26f9057b5d8051503abb68c912dc7fd3623be5d4c7eaaac801cdb3768a729726

Observation 665422e0-d388-4bf3-908a-dea901855104 · inbound

Doppler Prompting for Stable mmWave-based Human Pose Estimation cites this paper.

Doppler Prompting for Stable mmWave-based Human Pose Estimation High-Resolution Representations for Labeling Pixels and Regions

Reference 271

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T18:49:22.865714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=arxiv_source observed=2026-05-14T18:49:08.462884Z digest=sha256:fb406db689b2ccb159a81adda2ded159aa617f23e45844156abc7c11cbce5457

Observation 0d0c8d71-c960-4118-9702-8889d064801d · inbound

CineMatte: Background Matting for Virtual Production and Beyond cites this paper.

CineMatte: Background Matting for Virtual Production and Beyond High-Resolution Representations for Labeling Pixels and Regions

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:38:14.668485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

source=pdf_text observed=2026-05-20T11:34:37.193510Z digest=sha256:e392ab33532156485eed571e875187608d4d15181985ef63c30c37c1b76f323a