Paper Citation Record · LEDGER

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images

As of 14 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2502.00042.

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

pith.paper-citation-record.v1
2502.00042 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:47:39.414837Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:47:39.056172Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T13:47:39.724744Z

Reference resolution

24 of 24 outbound references displayed

verified exact1
verified fuzzy12
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 185d03d7-ad6e-497d-8750-e197b225a8a5 · outbound

This paper cites Deep learning has significantly advanced the field with diverse network ar- chitectures, especially the U-shaped encoder-decoder design starting with UNet [1].

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Deep learning has significantly advanced the field with diverse network ar- chitectures, especially the U-shaped encoder-decoder design starting with UNet [1]

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:40.206564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c5bdd7c-0fc9-4a96-ba10-ab1189863a3b · outbound

This paper cites LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T13:47:39.733524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e2ea59e3-bda9-438c-9b07-f9fb9885263a · outbound

This paper cites First, we outline some implementation details.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images First, we outline some implementation details

Reference 3

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T13:47:40.178396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 67749529-3099-4984-bf81-92670b1c3a42 · outbound

This paper cites an unresolved cited work.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T13:47:40.143223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c3ef80ff-87db-42f0-9de3-5693abfe735d · outbound

This paper cites U-net: Convolutional networks for biomedical im- age segmentation,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images U-net: Convolutional networks for biomedical im- age segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:40.125667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a70a67cf-9dad-4747-9fb4-cbf0e6334e92 · outbound

This paper cites Unet++: A nested u- net architecture for medical image segmentation,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Unet++: A nested u- net architecture for medical image segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:40.108307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ad51ac6-be1b-4b29-9c91-12137fb2568b · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Attention U-Net: Learning Where to Look for the Pancreas

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T13:47:39.174470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbc1eb4d-90b9-4d51-a6f0-38ba5cf04957 · outbound

This paper cites Unet 3+: A full- scale connected unet for medical image segmentation,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Unet 3+: A full- scale connected unet for medical image segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:40.074748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c5f7f743-102a-49a3-a747-09d5c96f5fef · outbound

This paper cites Rolling-unet: Revitalizing mlp’s ability to efficiently extract long-distance depen- dencies for medical image segmentation,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Rolling-unet: Revitalizing mlp’s ability to efficiently extract long-distance depen- dencies for medical image segmentation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:40.050302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bee0e18b-2071-404a-8470-b4dac11113bf · outbound

This paper cites Unext: Mlp-based rapid medical image segmentation network,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Unext: Mlp-based rapid medical image segmentation network,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:40.034223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 395652d9-c17a-4663-8697-ffee279919ec · outbound

This paper cites Swin- unet: Unet-like pure transformer for medical image seg- mentation,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Swin- unet: Unet-like pure transformer for medical image seg- mentation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T13:47:39.237917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab65481-a6dc-407e-907d-2626da40d92f · outbound

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

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T13:47:39.245440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a246fcf-5514-44ee-8d31-88af1d64fbdd · outbound

This paper cites Medical transformer: Gated axial-attention for medical image segmentation,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Medical transformer: Gated axial-attention for medical image segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:40.010160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 783a68da-c51b-42e1-ac40-4830aa5ab625 · outbound

This paper cites Transbts: Multimodal brain tumor segmentation using transformer,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Transbts: Multimodal brain tumor segmentation using transformer,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:39.996922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b7456d5e-488a-4d90-9c5a-d279a721cbed · outbound

This paper cites Axial Attention in Multidimensional Transformers.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Axial Attention in Multidimensional Transformers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T13:47:39.296699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ea6bfd5-109a-41b9-8733-829807b4af13 · outbound

This paper cites Axial- deeplab: Stand-alone axial-attention for panoptic seg- mentation,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Axial- deeplab: Stand-alone axial-attention for panoptic seg- mentation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:39.954747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bb7bede1-9ba5-4272-8a8e-f67098d8f08b · outbound

This paper cites Uw-madison gi tract im- age segmentation,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Uw-madison gi tract im- age segmentation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:39.884335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9f43dbbd-dc75-40e1-bc35-322add97501c · outbound

This paper cites The medical seg- mentation decathlon,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images The medical seg- mentation decathlon,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T13:47:39.333521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69297a9d-3e55-4df7-8838-f2d4445ffb5a · outbound

This paper cites S$^2$-MLPv2: Improved Spatial-Shift MLP Architecture for Vision.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images S$^2$-MLPv2: Improved Spatial-Shift MLP Architecture for Vision

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-10T13:47:39.538311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1fde9f17-82ee-4178-b5b8-8f48e643d8ca · outbound

This paper cites Auxiliary Tasks in Multi-task Learning.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Auxiliary Tasks in Multi-task Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T13:47:39.348663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f0e959-dd83-499d-96b3-5d2a99065e49 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Pytorch: An imperative style, high-performance deep learning library,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T13:47:39.360965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe5613b1-0d18-4a97-9867-405d128d1e4d · outbound

This paper cites Road extraction by deep residual u-net,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Road extraction by deep residual u-net,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:39.792655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d899cd0-1560-4ff3-a482-798cb0fff437 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Adam: A Method for Stochastic Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T13:47:39.376689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6eaf2637-2c24-4fa1-a467-04685db17436 · outbound

This paper cites Sgdr: Stochastic gradient descent with warm restarts,.

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images Sgdr: Stochastic gradient descent with warm restarts,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:47:39.757723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 9c5bdd7c-0fc9-4a96-ba10-ab1189863a3b · inbound