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Paper Citation Record · LEDGER

Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.00327.

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

pith.paper-citation-record.v1
2406.00327 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:37:02.173266Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:16:28.064256Z

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 376b4a1a-f577-4acc-9ed7-18633d1573fa · inbound

Beyond Pixel Agreement: Large Language Models as Clinical Guardrails for Reliable Medical Image Segmentation cites this paper.

Beyond Pixel Agreement: Large Language Models as Clinical Guardrails for Reliable Medical Image Segmentation Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:37:02.173266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:37:02.173266Z digest=sha256:d44c97e87bc33b99f8bcefc370f5dd5f3ab24eabef0138fce14307e46a6d32f0

Observation 860f8b0b-8175-44c5-b9b9-f1b79e6903c3 · inbound

HyperSORT: Self-Organising Robust Training with hyper-networks cites this paper.

HyperSORT: Self-Organising Robust Training with hyper-networks Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:30:07.177182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T22:30:04.830329Z digest=sha256:08ce47ec46fb67842a1476dfa11952f484cca0e835176bfbfa79062f9412b199