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Paper Citation Record · LEDGER

Relation U-Net

As of 18 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2501.09101.

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

pith.paper-citation-record.v1
2501.09101 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:15:11.925654Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:15:11.870233Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:15:11.967869Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy13
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 990238e1-7c20-4637-908d-99d8ef9ab7b6 · outbound

This paper cites output-only.

Relation U-Net output-only

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:12.148760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.864851Z digest=sha256:08a8f85fc8179b8194cc47ae62858d8b40aca3a57475a89ba85ea9666728877c

Observation 522b756d-fc77-4fdb-98f8-c184a54bed8b · outbound

This paper cites Relation U-Net.

Relation U-Net Relation U-Net

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:15:11.974006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.870233Z digest=sha256:c9a20c1fef2a6a9f5ae8fe2de719856a3c073b38d6e150a72c90aef5a44153f5

Observation 7ccdfb0f-97a2-46e4-a73e-7752483f1aa2 · outbound

This paper cites Datasets We use four public datasets to evaluate the proposed method, including LiTS [6], Hippocampus [7], BraTS [8] and ISIC [9].

Relation U-Net Datasets We use four public datasets to evaluate the proposed method, including LiTS [6], Hippocampus [7], BraTS [8] and ISIC [9]

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:12.139415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.875461Z digest=sha256:52cc5dd537dbbeb3f41d2cad587efa4a0ea63be9d013f7c85b3b8cb63b0fcb7d

Observation acd2d469-9b61-45c7-8542-f2b572d5895d · outbound

This paper cites an unresolved cited work.

Relation U-Net Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:15:12.128532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.879414Z digest=sha256:dbf4eac2fa250b80353d964b682dec73d2c1beaf8f75a29265b6589505c4d819

Observation e4ff98f8-f971-4991-a1e4-2ecd290a06ea · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation,.

Relation U-Net U-Net: Convolutional networks for biomedical image segmentation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:12.115067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.883533Z digest=sha256:3f22145f5b17388845b884bc9492e56afce51a113637e3707db6c4066dfd3daa

Observation 285cedb0-9850-49cb-81b6-c1eaa6468b21 · outbound

This paper cites Confi- dence calibration and predictive uncertainty estimation for deep medical image segmentation,.

Relation U-Net Confi- dence calibration and predictive uncertainty estimation for deep medical image segmentation,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:12.103073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.887006Z digest=sha256:66e730e191e233c83e7a8b62d7a62f535c895b657dd5f6374305604a9f32288a

Observation d68a9f8d-9ff4-4a1a-b3eb-4e6393fe84e7 · outbound

This paper cites Es- timating example difficulty using variance of gradients,.

Relation U-Net Es- timating example difficulty using variance of gradients,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:12.091836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.890458Z digest=sha256:9daf3725178a86a348bd9b33e029f4cfd1f8f4c4ffbd787ce5075c6ad648b834

Observation e828c92b-6e9d-425d-b48a-313fdf6aca7f · outbound

This paper cites Pairwise learning for medical image seg- mentation,.

Relation U-Net Pairwise learning for medical image seg- mentation,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:12.079932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.893623Z digest=sha256:fd1e7b1f26cb7654d0e625b5ac0f07f70a9d6c633615311c3884d3343cd4b425

Observation 9440027d-db5e-4b66-b710-335d66745ee3 · outbound

This paper cites Deep relation learning for regression and its appli- cation to brain age estimation,.

Relation U-Net Deep relation learning for regression and its appli- cation to brain age estimation,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:12.066585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.896790Z digest=sha256:f0bf03f2591dfb319bdd20acdd49083abb7653ef89ce7e6163d7556205c1b071

Observation e20f2a0e-59c8-476a-9088-a749587fd054 · outbound

This paper cites The liver tumor segmentation benchmark (LIST),.

Relation U-Net The liver tumor segmentation benchmark (LIST),

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:12.054438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.899919Z digest=sha256:390ae604fc54d2accfc0f110a4f1035ab26aa6165f08f77c0f34dc368592a2db

Observation f9344940-e960-4ad4-bf25-eb9de43570f8 · outbound

This paper cites The medical seg- mentation decathlon,.

Relation U-Net The medical seg- mentation decathlon,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T20:15:11.902958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:15:11.902958Z digest=sha256:7210c7d8c139ab1fd39141133bb4679ed5e5e9804345f7216a214f2e01c51c2b

Observation 76a253a4-79da-4fed-8326-45d3d4c4209e · outbound

This paper cites The multimodal brain tumor image seg- mentation benchmark (brats),.

Relation U-Net The multimodal brain tumor image seg- mentation benchmark (brats),

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:12.034718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.906034Z digest=sha256:43445628dded1fd7eb8f499e7e45a82c07bbcdcd9ee14ef39558d2ceb506bf96

Observation ee7052f1-aee0-4636-bd43-c1be5488487e · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

Relation U-Net Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T20:15:11.910909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:15:11.910909Z digest=sha256:bf3641ee87458060b6a07d99b970d46e29ffc18ea4772c3a32d4a829f8c72141

Observation 2bd9ff56-62a8-4f30-98ff-20b77d581703 · outbound

This paper cites Exploring uncertainty measures in deep net- works for multiple sclerosis lesion detection and seg- mentation,.

Relation U-Net Exploring uncertainty measures in deep net- works for multiple sclerosis lesion detection and seg- mentation,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:12.023465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.914901Z digest=sha256:e17ce08621cdef8bae6c32e633e7a31b29b3281f833d2d3d623638bc9be08538

Observation 057fba95-ad73-46df-bc98-73612b131452 · outbound

This paper cites Automatic segmentation variability estimation with segmentation priors,.

Relation U-Net Automatic segmentation variability estimation with segmentation priors,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:12.011946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.918397Z digest=sha256:336a1fb1bad4a1ff661b84e33f89b912f23add5572f7e80e9dd07cc89e5b6cc6

Observation f985dbe6-3251-45cb-b275-6df4255f5a7d · outbound

This paper cites Quantifying and leveraging predictive uncertainty for medical image assessment,.

Relation U-Net Quantifying and leveraging predictive uncertainty for medical image assessment,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:11.999661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.922036Z digest=sha256:7f42ecd6bcfca43950054f709019f4886172b9a0b32caec6930e94dccab2f141

Observation 6f65efc2-3a71-4f9a-bef7-48b6d1a70d8d · outbound

This paper cites Segmentation ability map: Interpret deep features for medical image segmentation,.

Relation U-Net Segmentation ability map: Interpret deep features for medical image segmentation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:15:11.987686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.925654Z digest=sha256:599769cc03950f550fb44cd86f7d7d8ffd0dca607180f0afd73ebd6c80ed05ab

Pith citing papers

Observation 522b756d-fc77-4fdb-98f8-c184a54bed8b · inbound

Relation U-Net cites this paper.

Relation U-Net Relation U-Net

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:15:11.974006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:15:11.870233Z digest=sha256:c9a20c1fef2a6a9f5ae8fe2de719856a3c073b38d6e150a72c90aef5a44153f5