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Paper Citation Record · LEDGER

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation

As of 10 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2508.01460.

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

pith.paper-citation-record.v1
2508.01460 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:38:16.272238Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

  • verified exact2
  • verified fuzzy15
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88d012c6-1582-4f99-bb97-ad34b2485cd5 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 1

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cbb0fe9e-931f-41bb-b683-27a30eca870f · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:38:16.575610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:14.599517Z digest=sha256:0740a3478be7ce0b9a0cc8a5a533e15b44443cb53fb3a0b4cae1443df9209033

Observation dc9e205b-364a-491b-81d8-390adcfe2415 · outbound

This paper cites Valindria et al., Reverse classification accuracy: predicting segmentation performance in the absence of ground truth, IEEE transactions on medical imaging 36 (8) (2017) 1597--1606.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Valindria et al., Reverse classification accuracy: predicting segmentation performance in the absence of ground truth, IEEE transactions on medical imaging 36 (8) (2017) 1597--1606

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2a1d274e-54b9-4293-9e9f-cee2a8efed5a · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:38:16.562386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:14.790981Z digest=sha256:2ecb54e06b62a64805dcca9a9a76a906e6a8bfdcfccfe4ef3182799311466cb4

Observation f097453f-0afe-4644-a80d-138ee09d9015 · outbound

This paper cites Somasundaram, R.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Somasundaram, R

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:38:16.555816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:14.904957Z digest=sha256:e299e5512999b4dffbafcff8e112d98812d77e92c65e64e30d43afffc0b05e85

Observation f91079fa-8052-4a55-9ff4-0a73753af333 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:38:16.544919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:15.058124Z digest=sha256:63a8e9f280f0956ae9d483947b85ddba17c1b4e8b6ac4168d263a74676ce8304

Observation 54f41cf8-d0ca-4322-ac3f-4d9c3dafdc7f · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:38:16.535602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:15.181028Z digest=sha256:e752ee90d5506e7d76c4bea24e4c651bc8317213011282b72970d91cf726c106

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:15.285740Z digest=sha256:7a07d5205c30d5238bee870955cee46540c2a6fa49fb93911d3e07bf97fe86d6

Observation 7d817a37-8366-42e9-a071-618ade0c7f9f · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:38:16.520067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:15.375540Z digest=sha256:6677543b644a9fa82813de732549b202b0638b21345ebe9ae3b76f6cc5d36035

Observation bcb78b1e-04c5-4d56-95bb-b4eba4364377 · outbound

This paper cites Robinson et al., Subject-level prediction of segmentation failure using real-time convolutional neural nets (2018).

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Robinson et al., Subject-level prediction of segmentation failure using real-time convolutional neural nets (2018)

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3663e7a6-afdd-4047-8219-66f0db995555 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 11

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference 12

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:15.856425Z digest=sha256:6aaa4bc2530d5cbe058dca6757ff71cfab7de050bcccbf172d369576bc067687

Reference 14

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:16.129805Z digest=sha256:f21ccf07d9fabc088dc4d953809046c589456ee217ace239f1ceb47a0329a983

Observation b6933aa0-a594-4093-8751-f430fac4341b · outbound

This paper cites Konyushkova, R.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Konyushkova, R

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:38:16.482190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:16.218114Z digest=sha256:a38d4c939bf551625b50c5e992e87aee4c1d3aaea6520b7bc9236f7645d1c674

Observation f45acb14-75a3-424a-8c52-aab6423f0d99 · outbound

This paper cites Kohlberger, V.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Kohlberger, V

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:16.221514Z digest=sha256:2b46d7b7643b5029ef62a6296dc407c87bc20821ce8df0ffd921c77632f453ca

Observation dc1a1d7f-72e7-4540-8715-d61aa33ddb69 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 18

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:16.224175Z digest=sha256:e072405bb1333eef740b4192ae29ed9004ec4cc5b8ad19e7dc1ae89ffa04d3b5

Observation 49349878-63e7-4790-a09a-60c0db0ed043 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:38:16.460016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 172b582c-fb39-4c8a-96af-6f3a42597180 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 20

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 73192ddc-1496-4ec3-b92e-1328c333c993 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8a34a2ae-e507-4413-86cd-e6543b26b92f · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:38:16.426494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:16.238343Z digest=sha256:f0a105bc6e3bbf4161d02f9626e05838bec05f4b7a52f635bd0e9428470fd739

Observation 975cd7ef-ee24-4646-894c-4a744e1b5d21 · outbound

This paper cites Lakshminarayanan, A.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Lakshminarayanan, A

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T05:38:16.240265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:38:16.240265Z digest=sha256:5047635720976087182fa6bb5bce4dea4e8ccc7ed10f30698fc397ee8e7e6862

Observation 03a981a0-cff3-471e-9849-fe76ab501457 · outbound

This paper cites ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation

Reference 26

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 866b71d3-61f0-4140-bd05-14b788150999 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 27

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e79f60e7-db62-4c11-85dd-b53f71907854 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:38:16.406455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7b730a03-ed1f-482b-8bd2-bcc22faf8ab9 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:38:16.399767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:16.252400Z digest=sha256:bc35b8ea4a06022af249598b458780aa727bc747c3d03830d4c75b060a0e4f8e

Observation 71aa0310-6ac4-4c7e-8f7f-e726ab389ecf · outbound

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

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T05:38:16.255148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:38:16.255148Z digest=sha256:f42afbaccd103241dea5332d92103ab92944377a0e9d43650a6f1b6c51d4a08e

Observation ed7c9549-d7b0-4b7b-bda8-7778d4febcdc · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:38:16.384901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:16.257736Z digest=sha256:6f1a9be05d9a85dfcdf130ca1bd42371853a59b891293111d606bec41644bb09

Observation 1bb65b8a-5351-4068-856e-2c1361ef2066 · outbound

This paper cites Molchanova, V.

Uncertainty-Aware Segmentation Quality Prediction via Deep Learning Bayesian Modeling: Comprehensive Evaluation and Interpretation on Skin Cancer and Liver Segmentation Molchanova, V

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:38:16.377521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:16.260014Z digest=sha256:b1047338f8f309530a23f5d656a62ad2f43aa9aaefaf39d645c1dfd7a2039c01

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:38:16.370648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T05:38:16.264372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T05:38:16.267767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:38:16.267767Z digest=sha256:e6fc359ca513f015adc9660eeba7aa0f01f8773c27f569f92c579dccd1f5f328

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:38:16.362115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:16.270286Z digest=sha256:9f5c9110b094a83efb0543b3417b68af19a7d983dd5512eb07f69e6e89c3c10e

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:38:16.351785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T05:38:16.272238Z digest=sha256:774b8089a62dccdbcdb220c4968d577ed0ecee82ea6a09591228c8a513fa5b83

Pith citing papers

No inbound Pith citation observations are available.