Paper Citation Record · LEDGER

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons

As of 22 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2411.15656.

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

pith.paper-citation-record.v1
2411.15656 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:07:07.633482Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

12 of 12 outbound references displayed

verified exact0
verified fuzzy6
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a94e561e-5bae-43d4-970d-89038f654ae4 · outbound

This paper cites vert ebrae.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons vert ebrae

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:07:07.881422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6a9faa20-1b0f-4667-b51c-59f972b68607 · outbound

This paper cites an unresolved cited work.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:07:07.863017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8cb3c98f-dc47-418b-a90b-4b9d14911fd3 · outbound

This paper cites an unresolved cited work.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:07:07.845145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9ac72312-c8a0-44e6-9a8e-5b5bd444b420 · outbound

This paper cites an unresolved cited work.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:07:07.827258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation beb511ab-6d68-47b2-8a89-1316af93d67e · outbound

This paper cites an unresolved cited work.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:07:07.810924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7c2a3a17-9408-46b0-ab90-bc92b4f1835c · outbound

This paper cites Finally, the presence of foreign bodies, irrelevant organs, and noise adds another layer of challenge to this task.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons Finally, the presence of foreign bodies, irrelevant organs, and noise adds another layer of challenge to this task

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:07:07.789699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 237bad7f-9e53-4286-83ea-6acebed61f69 · outbound

This paper cites Nagel et al.(Naegel, 2007) proposed a mathematical morphology-based method for anatomically labeling vertebrae from 3D CT-scan images.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons Nagel et al.(Naegel, 2007) proposed a mathematical morphology-based method for anatomically labeling vertebrae from 3D CT-scan images

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:07:07.768547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7aee220a-a75b-48d6-8bfc-f063688dc3a4 · outbound

This paper cites an unresolved cited work.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:07:07.753508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b11499c1-af1d-4b90-9710-94e1c495abd7 · outbound

This paper cites Multi -scanner and multi -modal lumbar vertebral body and intervertebral disc segmentation database.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons Multi -scanner and multi -modal lumbar vertebral body and intervertebral disc segmentation database

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:07:07.722322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cbfe4878-f9fa-4e43-a36c-7fd4dabb16ea · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:07:07.633482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f60b9c89-e465-462a-b23b-0350868c0325 · outbound

This paper cites After modality selection and slice removal process, the number of samples became too small.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons After modality selection and slice removal process, the number of samples became too small

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:07:07.737366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a7dd4ed6-ea8e-4288-959b-b00da5e24212 · outbound

This paper cites Zhang, et al., 2020) Not mentioned 8: L1-L5, S1, T11, T12 (only vertebrae) Adversarial Network, LSTM 95% 2020 (J.

Machine-agnostic Automated Lumbar MRI Segmentation using a Cascaded Model Based on Generative Neurons Zhang, et al., 2020) Not mentioned 8: L1-L5, S1, T11, T12 (only vertebrae) Adversarial Network, LSTM 95% 2020 (J

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:07:07.700898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.