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Paper Citation Record · LEDGER

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.18435.

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

pith.paper-citation-record.v1
2405.18435 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:47.792874Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:48:45.856261Z

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 4af1dce0-1e19-474c-a5d0-599ae4d27efa · inbound

SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation cites this paper.

SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T14:18:30.093085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:18:30.093085Z digest=sha256:16bc3e1c88b51852d5e82f44b14577304a0de64be3eae7d67bfd052e32b1ac97

Observation 85940ae1-7c10-4900-9fc5-0b8405ec1650 · inbound

MedSG-Bench: A Benchmark for Medical Image Sequences Grounding cites this paper.

MedSG-Bench: A Benchmark for Medical Image Sequences Grounding QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T20:50:47.792874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:50:47.792874Z digest=sha256:cc00b14eef077ed212035b4f74c56deb9b0c381945b4847989970694fc83703c

Observation 7e591809-f6e6-4fb0-a22e-3c56178654ff · inbound

Flow Stochastic Segmentation Networks cites this paper.

Flow Stochastic Segmentation Networks QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:42.828974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:42.828974Z digest=sha256:833a0004e89354142d253deb70c802aa4034ed3596b1058f8085147b2e33838b

Observation 030fbb76-645f-4e32-b2a1-82cba6415a33 · inbound

IMA++: ISIC Archive Multi-Annotator Dermoscopic Skin Lesion Segmentation Dataset cites this paper.

IMA++: ISIC Archive Multi-Annotator Dermoscopic Skin Lesion Segmentation Dataset QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T14:10:17.692295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:10:17.692295Z digest=sha256:9f505ce197e70cfa5b36b6e3e01f9c0be7ba76a86b23e8d3745b5ac037c6af0b

Observation 7dbc22fa-fe40-4e46-a292-0f085c3ba9bf · inbound

Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation cites this paper.

Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:21:24.054911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T01:14:31.320559Z digest=sha256:4413f1ea4d0197891ff2fa0139d55da286aa001aeee8b64e133550029f461eaa

Observation 42665906-a4ad-4710-a9eb-5af430958e9a · inbound

Attention-Based Prototype Calibration for Multi-Rater Few-Shot Medical Image Segmentation cites this paper.

Attention-Based Prototype Calibration for Multi-Rater Few-Shot Medical Image Segmentation QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T17:48:45.857855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T03:47:02.506363Z digest=sha256:33d9af174b39bffd652f98b6f47c5ea9a3f6198e423ef58cf5e3b0298b7cc592