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Paper Citation Record · LEDGER

Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1902.00347.

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

pith.paper-citation-record.v1
1902.00347 v2

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:46:03.446810Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:06:10.994016Z

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 c5458c4b-27f7-436e-b3ff-1aae37e9ab4e · inbound

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation cites this paper.

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T10:46:03.446810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:46:03.446810Z digest=sha256:3ca5b74c17c2bcffb8dd98cdaf006e86038494873dd9a5e7c62926979c3e0ada

Observation c4c932bc-5b89-4b2d-88da-cf565584e82f · inbound

Protect the Brain When Treating the Heart: A Convolutional Neural Network for Detecting Emboli cites this paper.

Protect the Brain When Treating the Heart: A Convolutional Neural Network for Detecting Emboli Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:06:10.996517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T12:38:10.295574Z digest=sha256:445ca543ff6486fbf442e3950066b5c86809e21ed0b356f203794426b6f3d6f4