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Paper Citation Record · LEDGER

Why is the winner the best?

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.17719.

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

pith.paper-citation-record.v1
2303.17719 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T05:58:32.582946Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6057257c-fa65-451d-a1f5-c905a98776a1 · inbound

Surgical Visual Understanding (SurgVU) Dataset cites this paper.

Surgical Visual Understanding (SurgVU) Dataset Why is the winner the best?

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:02:38.141837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T05:58:32.582946Z digest=sha256:468de3e87f4bdc0b8f42b3793774c86702d16b736652f4b6bb695a20ccc382e0

Observation 9cb722f5-5518-4feb-8856-95209980dfe9 · inbound

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization cites this paper.

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization Why is the winner the best?

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-08T21:09:13.784011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T14:48:17.219453Z digest=sha256:dd7bf29dcfed5b66901e53ad2ee3913eaa80ff210fab440437e355f03db39194