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Paper Citation Record · LEDGER

Synthetic Data for Robust Stroke Segmentation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.01946.

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

pith.paper-citation-record.v1
2404.01946 v3

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 2026-08-11T22:36:58.218354Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:51:27.650834Z

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 3fe392cb-9f4b-4280-8840-e5ced68f6de5 · inbound

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data cites this paper.

Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data Synthetic Data for Robust Stroke Segmentation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T22:36:58.218354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:36:58.218354Z digest=sha256:3f0541c47bddeec894581147180dff832dfccc7dbf32d28200e44b6dd06593c8

Observation 71df5923-dec9-4ed5-88d4-ba60178d0911 · inbound

Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI cites this paper.

Annotation-free deep learning for detection and segmentation of fetal germinal matrix-intraventricular hemorrhage in brain MRI Synthetic Data for Robust Stroke Segmentation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:51:27.657391Z

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=2026-05-12T04:50:02.652779Z digest=sha256:6f3071a868424c0fb0ac4a8d592fce1f1fa5dc2319cc6f6584de3cead78cc9f5