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Paper Citation Record · LEDGER

MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation

As of 28 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.14444.

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

pith.paper-citation-record.v1
2303.14444 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 2026-07-28T06:31:03.373048+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T01:22:29.901174Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T01:25:16.520191Z

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 eaf15df8-a1d8-4c47-aa42-65f222199d36 · inbound

Primus: Enforcing Attention Usage for 3D Medical Image Segmentation cites this paper.

Primus: Enforcing Attention Usage for 3D Medical Image Segmentation MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:25:16.522526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=pdf_text observed=2026-05-23T01:22:29.901174Z digest=sha256:1b306b265e059b94f260ea69c6ef056746bc0cec02c2b9ec99b45be5b14e8b48

Observation 8820a3eb-015a-4be7-9d31-57ad27d75cce · inbound

In search of truth: Evaluating concordance of AI-based anatomy segmentation models cites this paper.

In search of truth: Evaluating concordance of AI-based anatomy segmentation models MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:08:32.965456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-28T06:31:03.373048+00:00.

source=pdf_text observed=2026-05-16T21:04:17.071422Z digest=sha256:bcd7a4ba0b80fcb2c2b9edc5740d20ca0b0bcf7e40f68d5f25fcfb898db1882e