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Paper Citation Record · LEDGER

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation

As of 11 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.22727.

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

pith.paper-citation-record.v1
2607.22727 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:42:25.882287Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

38 of 38 outbound references displayed

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  • unresolved38
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  • malformed identifier0
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External citation measurements

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Outbound references

Observation f45b6f83-b9f7-4fcb-b7aa-01d9c44a5133 · outbound

This paper cites Ronneberger, P.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Ronneberger, P

Reference 1

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Observation d1b4d0a3-fe09-4e39-ad23-e994ae90780f · outbound

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

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Attention U-Net: Learning Where to Look for the Pancreas

Reference 2

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source=pdf_text observed=2026-08-01T11:42:25.771864Z digest=sha256:4ee9e5f8015e558aef87f780dd5978a4d02d987a6ec8600b08b59c16d22c9935

Observation fe719372-45cb-4877-8f42-d493ffe0a5b4 · outbound

This paper cites Mehrtash, W.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Mehrtash, W

Reference 3

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source=pdf_text observed=2026-08-01T11:42:25.775398Z digest=sha256:1c794c120e1a1fbaac007bc25f3ebed92a8c45085fd1de4f7f6f7e270a27d35d

Observation 358ddd23-1ac9-4e1a-b633-ab52bb238fcc · outbound

This paper cites Hendrycks and T.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Hendrycks and T

Reference 4

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Observation 2ef3243b-ee3c-4155-87ee-698616e5a59c · outbound

This paper cites Kamnitsas, C.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Kamnitsas, C

Reference 5

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source=pdf_text observed=2026-08-01T11:42:25.781617Z digest=sha256:53cff64e65fc2410016ff26be13f535252dd5d32776c97833066ef9bd611a345

Observation fdb6ed2e-0655-4e90-a4d5-42638b3e9408 · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-01T11:42:25.785869Z digest=sha256:9dfc8bb4a1b9632fa6014b563c1e132bd1abdb79d28c314059833b34c7f5ceef

Observation 7752ddca-3c50-44da-b10c-cb368d7487d4 · outbound

This paper cites Gal and Z.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Gal and Z

Reference 7

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Observation ddd48315-13f6-4e48-a7e5-fc43d541e98c · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 8

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Observation 95015946-d9f0-481e-96e4-6147f833d0e4 · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 9

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Observation 44ca9eab-f77e-4f19-9fed-6c02bc8397c9 · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-01T11:42:25.797487Z digest=sha256:013998ba61b3f130db45a164ae5628e57b68c732876f021e948d03fbe1e4658f

Observation 89f83805-931b-41eb-b8af-7518a0157828 · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-01T11:42:25.800642Z digest=sha256:68ea7473d9a4b91490f88c1dbfebcaec900798c2cd0ed5f1b43493cca1d4d4ed

Observation 4e44409e-85e9-493f-a3ba-d94894c0c878 · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 12

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Observation df5796e3-fb61-4fc5-9eb1-8ba91d42d9d5 · outbound

This paper cites Bakas, H.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Bakas, H

Reference 13

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Observation 1e710df8-b596-4968-adc7-fa492edbc1b9 · outbound

This paper cites Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Reference 14

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source=pdf_text observed=2026-08-01T11:42:25.810209Z digest=sha256:d56582e4ba2c8b60026f4db2e3acaa3f6df6b280bf6b84fc393261ac3229597d

Observation c41ecd84-929b-4d8b-afa0-88545d04694b · outbound

This paper cites Isensee, P.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Isensee, P

Reference 15

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Observation 15c3690f-bdf1-4c8a-8764-4bc196be8332 · outbound

This paper cites Myronenko.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Myronenko

Reference 16

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Observation 5df6140c-8a85-4e34-90bd-6a6a77a93ef7 · outbound

This paper cites Kwon, J.-H.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Kwon, J.-H

Reference 17

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Observation 26441d0c-7abc-4888-a181-01e7d3fecc59 · outbound

This paper cites Jungo and M.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Jungo and M

Reference 18

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source=pdf_text observed=2026-08-01T11:42:25.822879Z digest=sha256:bb87fbb199917d8894dc48d55c5fc5ae3f8e3513b9f7eeac6d08edb06e93efff

Observation 8d2f7c28-e3c1-4511-a93e-c8606600a5e5 · outbound

This paper cites Carannante, D.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Carannante, D

Reference 19

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Observation 2ce438e0-c6a4-4a53-aa03-ba520b3cab9e · outbound

This paper cites Kendall and Y.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Kendall and Y

Reference 20

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Observation 72f871c0-5b19-40b1-8655-92968e99a263 · outbound

This paper cites Mårtensson, D.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Mårtensson, D

Reference 21

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Observation 6eb1a501-8d13-4266-a260-d6a9e2c3da7e · outbound

This paper cites Panfilov, A.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Panfilov, A

Reference 22

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Observation 738c4db8-2226-43e6-87cd-9ccdfd107a30 · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 23

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Observation 3307bfee-ce10-48e0-af73-53ec327ef0c8 · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 24

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Observation 7e39b47d-f5aa-4732-9c8f-160b69edfdd6 · outbound

This paper cites Maier-Hein, A.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Maier-Hein, A

Reference 25

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Observation d0532526-9080-4fd1-9b47-5268a7c58672 · outbound

This paper cites American College of Radi- ology, Reston, VA, USA, 2024.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation American College of Radi- ology, Reston, VA, USA, 2024

Reference 26

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Observation 490761db-7789-4ab2-9072-23e24128980e · outbound

This paper cites MRI for cancer.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation MRI for cancer

Reference 27

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Observation 40a672b9-6301-4e1e-a26e-a1a3a380c241 · outbound

This paper cites NBME–Score clinical patient notes.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation NBME–Score clinical patient notes

Reference 28

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Observation 1435da7e-8728-4f96-a636-7784f5c2e78a · outbound

This paper cites Tordjman, I.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Tordjman, I

Reference 29

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Observation 8eb2ba05-2488-40e0-a29f-133be901f9c2 · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 30

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Observation 7b196cb8-30db-4e30-974d-a2fac6d4b4fb · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 31

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Observation 35254d80-f8a7-402b-b7c7-66009c1d43d3 · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 32

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Observation 33d150e7-686e-4b0f-bd74-1ee606aadbb0 · outbound

This paper cites Geifman and R.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Geifman and R

Reference 33

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Observation 945c3b7a-da18-4c02-9034-1ccbc62ae6f0 · outbound

This paper cites Hatamizadeh, V.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Hatamizadeh, V

Reference 34

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Observation 525c4f9d-a523-4255-b2e3-8a1e82dff19c · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 35

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Observation 4d8626d3-5231-4a9b-aeb9-dedf065169ba · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 36

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Observation 50b90574-0e14-4957-93b3-73c87f7fba19 · outbound

This paper cites an unresolved cited work.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Unresolved cited work

Reference 37

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Observation 3a4e93ca-f25d-41c7-bf33-7fa9c5119a3d · outbound

This paper cites Food and Drug Administration.

Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation Food and Drug Administration

Reference 38

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Pith citing papers

No inbound Pith citation observations are available.