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Paper Citation Record · LEDGER

Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.01419.

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

pith.paper-citation-record.v1
2407.01419 v1

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:25:43.995059Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:51.352937Z

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 30807cd0-f1f6-4702-b4e1-f781d79314ed · inbound

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It cites this paper.

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:08:13.078227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T20:03:28.160731Z digest=sha256:f3567da91ca831652a0991774f257c9230e88a841a7c8b8f0e37de3ee6015cb4

Observation 934a05b9-85e2-459b-aec4-14bff037ed60 · inbound

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology cites this paper.

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:09:51.354218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T05:25:43.995059Z digest=sha256:7bf9c1db8f676bfe7cf6c4526f2396f850047eae337e60d27c27a1f1bf6d9083