Paper Citation Record · LEDGER

The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:1904.00445.

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

pith.paper-citation-record.v1
1904.00445 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:47:52.572748Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:58.512052Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation afc0414d-964c-4964-a046-9c61803b3df4 · inbound

MozzaVID: Mozzarella Volumetric Image Dataset cites this paper.

MozzaVID: Mozzarella Volumetric Image Dataset The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-23T08:02:43.211475Z

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.

Observation c50b6817-a900-4f2f-8921-019f51699e6c · inbound

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge cites this paper.

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T19:47:52.572748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d775aaf-7700-4089-a197-0728d964810d · inbound

Primus: Enforcing Attention Usage for 3D Medical Image Segmentation cites this paper.

Primus: Enforcing Attention Usage for 3D Medical Image Segmentation The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:25:16.543129Z

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.

Observation 5759eef4-8e4f-4263-b529-66023c978293 · inbound

Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical Imaging cites this paper.

Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical Imaging The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:44:31.587458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c954b34e-2073-4c57-8471-b7a2cca1d035 · inbound

Reasoning in machine vision by learning fast and slow thinking cites this paper.

Reasoning in machine vision by learning fast and slow thinking The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T22:16:21.165818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11592afc-7801-4647-ae3b-596743df70ce · inbound

PanTS: The Pancreatic Tumor Segmentation Dataset cites this paper.

PanTS: The Pancreatic Tumor Segmentation Dataset The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:29.329696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c618fd0-7eb1-40a7-a141-ad40f79f972e · inbound

Learning Segmentation from Radiology Reports cites this paper.

Learning Segmentation from Radiology Reports The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:30:54.057497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 184274c1-6b44-4025-8a17-02704e7cdce6 · inbound

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis cites this paper.

Adaptively Distilled ControlNet: Accelerated Training and Superior Sampling for Medical Image Synthesis The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T10:36:39.478197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7294a89-2e94-4f0c-a9de-111d40d6be65 · inbound

MaLV-OS: Rethinking the Operating System Architecture for Machine Learning in Virtualized Clouds cites this paper.

MaLV-OS: Rethinking the Operating System Architecture for Machine Learning in Virtualized Clouds The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T04:17:30.165981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 590393f4-6527-4477-af9a-8fd3c791a38a · inbound

SED Fitting of Globular Clusters in NGC 4874: Masses and Metallicities cites this paper.

SED Fitting of Globular Clusters in NGC 4874: Masses and Metallicities The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T04:15:06.216015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ce2e45c-6ec6-4098-8c0e-bc0e8a999192 · inbound

A Novel Patch-Based TDA Approach for Computed Tomography Imaging cites this paper.

A Novel Patch-Based TDA Approach for Computed Tomography Imaging The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:28:40.406952Z

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.

Observation c9c266d9-f136-43d1-a0ee-42d9998a6da1 · inbound

RADA: Region-Aware Dual-encoder Auxiliary learning for Barely-supervised Medical Image Segmentation cites this paper.

RADA: Region-Aware Dual-encoder Auxiliary learning for Barely-supervised Medical Image Segmentation The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:40:58.315418Z

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.

Observation 44a35dc9-ba21-4d15-83a7-7352f53468ff · inbound

DyABD: The Abdominal Muscle Segmentation in Dynamic MRI Benchmark cites this paper.

DyABD: The Abdominal Muscle Segmentation in Dynamic MRI Benchmark The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:31:12.453269Z

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.

Observation 75a93494-3444-4c02-bc69-541ee22ea728 · inbound

Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection cites this paper.

Multi-Dataset Cross-Domain Knowledge Distillation for Unified Medical Image Segmentation, Classification, and Detection The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:01:09.233289Z

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.

Observation 2c1e54e4-37b6-4a14-91d0-1247e930aca0 · inbound

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology cites this paper.

RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:56:21.517949Z

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.

Observation 0ec840b1-4841-4560-9b5e-a56a03382c5b · inbound

BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases cites this paper.

BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:49:58.513290Z

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.

Observation a6183963-8e3a-4ec2-9030-93586f27178b · inbound

Dual-Prior Guided Null-Space Learning with Mixture-of-Splines for Arbitrary Medical Slice Super-Resolution cites this paper.

Dual-Prior Guided Null-Space Learning with Mixture-of-Splines for Arbitrary Medical Slice Super-Resolution The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:39:57.928047Z

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.

Observation e8affee6-62ce-4438-8677-dddc59accea0 · inbound

Dual-Prior Guided Null-Space Learning with Mixture-of-Splines for Arbitrary Medical Slice Super-Resolution cites this paper.

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T15:13:32.294711Z

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.

Observation 63e1e043-cb0c-4e44-afcb-7aaad0afaf76 · inbound

Beyond scalar losses: calibrating segmentation models via gradient vector field surgery cites this paper.

Beyond scalar losses: calibrating segmentation models via gradient vector field surgery The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T02:30:59.956238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be2c8871-13bb-4197-9409-8595fc17c7e8 · inbound

Test-time Adaptation of Pelvic Bone Segmentation Models via Dynamic Reliability-Guided cites this paper.

Test-time Adaptation of Pelvic Bone Segmentation Models via Dynamic Reliability-Guided The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T00:53:22.302703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.