Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:51.270295Z
Paper Citation Record · LEDGER
Auto-nnU-Net: Towards Automated Medical Image Segmentation
As of 10 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.