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Paper Citation Record · LEDGER

High-Resolution Representations for Labeling Pixels and Regions

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:34:31.875566Z

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

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  • verified fuzzy0
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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 ef678cd8-fb9a-45f1-8f0e-40b39d27ad59 · inbound

CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention cites this paper.

CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention High-Resolution Representations for Labeling Pixels and Regions

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T05:34:31.875566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:34:31.875566Z digest=sha256:3ddababaac845f9a9cb74c4cbb0c3d679f15654a5a09892bf488b78098465964

Observation 7ca671fe-8082-4759-a0c2-9ab41eb0f2cb · inbound

Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis cites this paper.

Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis High-Resolution Representations for Labeling Pixels and Regions

Reference 123

Resolution
unresolved
no resolver link, observed 2026-08-10T18:50:08.260014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:50:08.260014Z digest=sha256:af51496dc45da12c48fb51b11e67aa8d39d74ed0c6b973fe9e10156a92027e69

Observation f453f79f-c6c1-4988-9697-2908626d91aa · inbound

Video Deblurring by Sharpness Prior Detection and Edge Information cites this paper.

Video Deblurring by Sharpness Prior Detection and Edge Information High-Resolution Representations for Labeling Pixels and Regions

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T17:26:03.114145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:26:03.114145Z digest=sha256:bb9bc72e9344d018056b8997177928ca1879bf4fe8a23f1155b832b6e911a723

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T08:16:46.185732Z digest=sha256:e9ab5adcbf80788a2c6510520bbac658228500f09bcb662571dfa5dc5cced7e4

Observation b772b247-8484-4c0a-b39e-f0cc78c40f0e · inbound

SCANet: Split Coordinate Attention Network for Building Footprint Extraction cites this paper.

SCANet: Split Coordinate Attention Network for Building Footprint Extraction High-Resolution Representations for Labeling Pixels and Regions

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T13:17:42.483451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:17:42.483451Z digest=sha256:0aac1dc9bd33901eb152903c7381912c9c1b4e6da63b619ade9be9cb36ff50df

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T22:53:23.271423Z digest=sha256:2d7c713a9db5a1c35838fd4a94f5d764868e849489fc8accc0113a0c1deb8400

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=sha256:3c037b96f72f32fc219c7b186a8582c9a86da7f8ff9454f1bb89a7ee62683377

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T10:09:08.788131Z digest=sha256:7f79e5eb800fd993d2d4d07f0699944079f06a30ad1a8d33a033504d1e94ad10

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T09:02:21.114658Z digest=sha256:3c77cf3a9ccb41e68399b806413effb3f9334d56021da7cf9bb0f20583952429

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=sha256:46561d04a4699df35dc5bd2e0c1ccfa42e64aaceeae2020e2fbe32a28afff1a5

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-14T18:49:08.462884Z digest=sha256:28a37ec8a21fb445e22aa0bb4a014077201867ccdb481847208258cd5412075e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T11:34:37.193510Z digest=sha256:3cc579f0ac06cc19f9b5799431459a5ad0867c871ed31ea1f3e9a03bdd001455