Paper Citation Record · LEDGER

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1702.05970.

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

pith.paper-citation-record.v1
1702.05970 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:20:32.712947Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:58:45.171099Z

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 df0d92a4-259e-4c3b-b9eb-9ef092b2a791 · inbound

Automatic segmentation of kidney and liver tumors in CT images cites this paper.

Automatic segmentation of kidney and liver tumors in CT images Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T15:20:32.712947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71895407-6e98-4282-906f-198b180389fb · inbound

Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity cites this paper.

Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-14T11:32:40.534670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 146b7147-9156-4109-aa3e-4c88ccd6d9d6 · inbound

ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths cites this paper.

ACE-Net: Biomedical Image Segmentation with Augmented Contracting and Expansive Paths Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T11:35:06.857565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4c6982c-95ee-420a-8441-74002a7677e6 · inbound

Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation cites this paper.

Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:58:45.268436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.