Paper Citation Record · LEDGER

Mask Mining for Improved Liver Lesion Segmentation

As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:1908.05062.

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

pith.paper-citation-record.v1
1908.05062 v4

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:27:30.462644Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:27:30.328441Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T13:27:30.715455Z

Reference resolution

22 of 22 outbound references displayed

verified exact3
verified fuzzy7
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75c8f3a2-930f-49bb-8506-3ba12c74affc · outbound

This paper cites Mask Mining for Improved Liver Lesion Segmentation.

Mask Mining for Improved Liver Lesion Segmentation Mask Mining for Improved Liver Lesion Segmentation

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T13:27:30.720644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee5eeccd-8828-463c-b536-adc6e551d7c7 · outbound

This paper cites 2) is the gener- ation of new training masks to alter the current network per- formance and allow the network to learn from its own errors.

Mask Mining for Improved Liver Lesion Segmentation 2) is the gener- ation of new training masks to alter the current network per- formance and allow the network to learn from its own errors

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:27:30.894128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation de1309d3-2be6-44d0-a2e9-1df3ef1101fc · outbound

This paper cites an unresolved cited work.

Mask Mining for Improved Liver Lesion Segmentation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:27:30.875258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3613e321-d08a-4df8-9166-f05b36a61f21 · outbound

This paper cites an unresolved cited work.

Mask Mining for Improved Liver Lesion Segmentation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:27:30.857961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a01c15ac-8386-4276-9879-7ec532662be5 · outbound

This paper cites an unresolved cited work.

Mask Mining for Improved Liver Lesion Segmentation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:27:30.839544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9e2f1750-1df0-4dad-9b0b-7602259ab391 · outbound

This paper cites The Liver Tumor Segmentation Benchmark (LiTS).

Mask Mining for Improved Liver Lesion Segmentation The Liver Tumor Segmentation Benchmark (LiTS)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T13:27:30.357624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 470760f7-07d7-4f2d-b720-00031c64b876 · outbound

This paper cites U-net: Convolutional net- works for biomedical image segmentation,.

Mask Mining for Improved Liver Lesion Segmentation U-net: Convolutional net- works for biomedical image segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:27:30.821895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4b28111e-9bb9-40d9-9375-3f0f67589bac · outbound

This paper cites nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

Mask Mining for Improved Liver Lesion Segmentation nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-14T13:27:30.368572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0d1e311-61c2-46d2-b719-d0ffad15ffa8 · outbound

This paper cites The Importance of Skip Connections in Biomedical Image Segmentation.

Mask Mining for Improved Liver Lesion Segmentation The Importance of Skip Connections in Biomedical Image Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T13:27:30.374381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94b96abe-0c93-4d66-b656-9ae119c72542 · outbound

This paper cites Tversky loss function for image segmentation using 3d fully convolu- tional deep networks,.

Mask Mining for Improved Liver Lesion Segmentation Tversky loss function for image segmentation using 3d fully convolu- tional deep networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:27:30.802936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6215c9cc-152d-4e9d-91a2-88042be9caab · outbound

This paper cites Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function.

Mask Mining for Improved Liver Lesion Segmentation Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:27:30.650902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 28ec2e8c-681e-4368-b869-a6af45f78c29 · outbound

This paper cites Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation.

Mask Mining for Improved Liver Lesion Segmentation Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:27:30.628703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 99be17a5-596a-4cff-aae4-25361ac3b3f6 · outbound

This paper cites Mic: Mining interclass characteristics for improved metric learning,.

Mask Mining for Improved Liver Lesion Segmentation Mic: Mining interclass characteristics for improved metric learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:27:30.787231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d50c47f2-5ee7-4c53-bd12-0a2bddc8fd7f · outbound

This paper cites 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.

Mask Mining for Improved Liver Lesion Segmentation 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T13:27:30.409658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16cbd105-5a57-4d3e-bb69-fec6e2dcf4ed · outbound

This paper cites Liver lesion segmentation informed by joint liver segmentation,.

Mask Mining for Improved Liver Lesion Segmentation Liver lesion segmentation informed by joint liver segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:27:30.770641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d35768e1-a199-4dfe-a866-3931467b62bf · outbound

This paper cites Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields.

Mask Mining for Improved Liver Lesion Segmentation Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:27:30.583717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation efef86d1-2c1d-42c6-813d-0187e91c0037 · outbound

This paper cites Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method.

Mask Mining for Improved Liver Lesion Segmentation Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T13:27:30.431879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d1c9a7e-3f99-4cf0-aeb3-3141bbad6367 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Mask Mining for Improved Liver Lesion Segmentation Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T13:27:30.439476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3650c9bf-a04d-4662-8d5d-0e7a919f6b9d · outbound

This paper cites Deep residual learning for image recogni- tion,.

Mask Mining for Improved Liver Lesion Segmentation Deep residual learning for image recogni- tion,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:27:30.753694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 97acd1cd-d28c-4756-a6db-f4b36f17c3fb · outbound

This paper cites Squeeze-and-Excitation Networks.

Mask Mining for Improved Liver Lesion Segmentation Squeeze-and-Excitation Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T13:27:30.452202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cbe034e-727b-4167-9b27-3d360aab524f · outbound

This paper cites Automatic differentiation in py- torch,.

Mask Mining for Improved Liver Lesion Segmentation Automatic differentiation in py- torch,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:27:30.737667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 66b43427-068b-4246-ba8e-0ffe9ad47a01 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Mask Mining for Improved Liver Lesion Segmentation Adam: A Method for Stochastic Optimization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T13:27:30.462644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 75c8f3a2-930f-49bb-8506-3ba12c74affc · inbound