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Paper Citation Record · LEDGER

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.00785.

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

pith.paper-citation-record.v1
2301.00785 v5

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:43:01.236250Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:13:52.908897Z

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 026e6984-7da9-4729-b2ce-cecfa0c8be10 · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

Reference 175

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:13:52.911682Z

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=2026-05-24T04:13:05.328492Z digest=sha256:f6900b4641e33d8b3e8e943aa29fadc16760e79719cf7adc4c0797ca3a9bf4f6

Observation 1364af91-d123-44de-b4c3-4ed32405db8c · inbound

GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks Evaluation cites this paper.

GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks Evaluation CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T11:43:01.236250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:43:01.236250Z digest=sha256:dea46141d84319704a59d9f313e630a5488c211d85f79f086b072923a4ad110a