Paper Citation Record · LEDGER

Auto-nnU-Net: Towards Automated Medical Image Segmentation

As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2505.16561.

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

pith.paper-citation-record.v1
2505.16561 v3

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:51.270295Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact2
verified fuzzy6
unresolved6
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c81b5a35-5807-4a7b-ab4a-a79fc503baab · outbound

This paper cites MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization.

Auto-nnU-Net: Towards Automated Medical Image Segmentation MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:01:51.701625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 980bdd02-d3a5-4ade-bba7-fd1e3f3e8b3a · outbound

This paper cites Since the default for this dataset is four, it is associated with the highest probability.

Auto-nnU-Net: Towards Automated Medical Image Segmentation Since the default for this dataset is four, it is associated with the highest probability

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:01:52.714850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9ab8fd03-1106-4c3b-9e90-f6f2881a1f51 · outbound

This paper cites Polynomial Learning Rate Policy with Warm Restart for Deep Neural Network.

Auto-nnU-Net: Towards Automated Medical Image Segmentation Polynomial Learning Rate Policy with Warm Restart for Deep Neural Network

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:01:53.299559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 680d1587-d10a-417c-b36f-f6672555b4b8 · outbound

This paper cites For a detailed outline of PriorBand, we refer to Appendix B.1.

Auto-nnU-Net: Towards Automated Medical Image Segmentation For a detailed outline of PriorBand, we refer to Appendix B.1

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:01:52.927932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 690b117c-e9d5-4157-9374-b9f1f2182d2b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Auto-nnU-Net: Towards Automated Medical Image Segmentation Adam: A Method for Stochastic Optimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:01:53.517365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 26ed45f5-29f2-44ab-8dc3-0d90149fac6a · outbound

This paper cites an unresolved cited work.

Auto-nnU-Net: Towards Automated Medical Image Segmentation Unresolved cited work

Reference 14

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:01:52.354777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa652604-015f-48dc-b81e-af0bf06d22d0 · outbound

This paper cites Segment Anything in Medical Images and Videos: Benchmark and Deployment.

Auto-nnU-Net: Towards Automated Medical Image Segmentation Segment Anything in Medical Images and Videos: Benchmark and Deployment

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:50.128079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb9f1279-03c6-4cb1-a16f-f25eb53a11d7 · outbound

This paper cites The video segmentation capabilities of SAM2 enable MedSAM2 to represent 3D volumes as a sequence of 2D frames and produce improved 3D medical image segmentations compared to MedSAM.

Auto-nnU-Net: Towards Automated Medical Image Segmentation The video segmentation capabilities of SAM2 enable MedSAM2 to represent 3D volumes as a sequence of 2D frames and produce improved 3D medical image segmentations compared to MedSAM

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:01:52.181239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c309722-c32a-42bd-bd83-fcd409a614e7 · outbound

This paper cites (2017) and Mallik et al.

Auto-nnU-Net: Towards Automated Medical Image Segmentation (2017) and Mallik et al

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:01:52.043684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f97e66f-bf91-4566-a30f-3e7fb3cedc35 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

Auto-nnU-Net: Towards Automated Medical Image Segmentation Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:50.520768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e5527f8-5c9d-40e5-97bf-9527ce03fa89 · outbound

This paper cites Multi-objective Asynchronous Successive Halving.

Auto-nnU-Net: Towards Automated Medical Image Segmentation Multi-objective Asynchronous Successive Halving

Reference 241

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:50.395998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7d5697f-ff2b-4b2c-a6e0-98c2d7a863bc · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

Auto-nnU-Net: Towards Automated Medical Image Segmentation AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 340

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:49.928646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6940f517-495e-4dbf-83e7-51267f515ef3 · outbound

This paper cites Learning Multiple Defaults for Machine Learning Algorithms.

Auto-nnU-Net: Towards Automated Medical Image Segmentation Learning Multiple Defaults for Machine Learning Algorithms

Reference 1135

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:01:51.517336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d53d6cb8-f3cd-414c-9ae5-7b9bb7e4d8ed · outbound

This paper cites an unresolved cited work.

Auto-nnU-Net: Towards Automated Medical Image Segmentation Unresolved cited work

Reference 2015

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:01:51.860422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa8ab09d-93f5-4a34-98fc-a17af012a0b7 · outbound

This paper cites an unresolved cited work.

Auto-nnU-Net: Towards Automated Medical Image Segmentation Unresolved cited work

Reference 2022

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:01:52.552342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8e4cf68d-60b7-44ba-a968-e6aa179634f9 · outbound

This paper cites an unresolved cited work.

Auto-nnU-Net: Towards Automated Medical Image Segmentation Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:01:53.123187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.