Paper Citation Record · LEDGER

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation

As of 12 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2411.18893.

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

pith.paper-citation-record.v1
2411.18893 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:49:22.246954Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

44 of 44 outbound references displayed

verified exact1
verified fuzzy30
unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1020c852-45e1-411d-acb7-7f1b503e1d69 · outbound

This paper cites Expert systems with applications85, 114–122 (2017).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Expert systems with applications85, 114–122 (2017)

Reference 1

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Observation 32673fc0-61ec-4f4e-8d78-4acc79e3c90e · outbound

This paper cites In: ISMM (1).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: ISMM (1)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.725549Z

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Observation 80af7da0-7b96-4995-95cf-c02ca4ef35f8 · outbound

This paper cites ACM Transactions on Mathematical Software (TOMS)22(4), 469–483 (1996).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation ACM Transactions on Mathematical Software (TOMS)22(4), 469–483 (1996)

Reference 3

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Observation c9b3ea58-84f9-416a-8d89-db5a635c8dee · outbound

This paper cites Com- puter methods and programs in biomedicine184, 105273 (2020).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Com- puter methods and programs in biomedicine184, 105273 (2020)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.704980Z

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Observation 2d5b4000-8c60-4a5f-a801-c84b9b18b2db · outbound

This paper cites PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation PhishAgent: A Robust Multimodal Agent for Phishing Webpage Detection

Reference 5

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Observation 41d3f5af-ff41-4fff-8a8b-318e5b7bda0b · outbound

This paper cites Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection

Reference 6

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Observation 3dd2fec2-fe7d-49ce-bb77-8122d90d0c47 · outbound

This paper cites an unresolved cited work.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Unresolved cited work

Reference 7

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Observation 00afb1f5-9d74-4b18-8f52-73b32ab1a552 · outbound

This paper cites Discrete & Computational Geometry 10, 377–409 (1993).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Discrete & Computational Geometry 10, 377–409 (1993)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.682226Z

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Observation f969bc2f-70f4-468e-82ed-4a0006e2301d · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.671561Z

Source-reported events for the cited work

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Observation 169dd158-0488-40e0-ba21-4c1b74262ccd · outbound

This paper cites Medical Image Analysis97, 103280 (2024).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Medical Image Analysis97, 103280 (2024)

Reference 10

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Observation 47a04d6f-e7fb-4a74-b692-ee2ecef26e9a · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T10:49:22.118355Z

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Observation 05218b12-a265-4b27-ab10-57c1b87aa820 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: Proceedings of the European conference on computer vision (ECCV)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T10:49:22.122395Z

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Observation 505d7afd-ea9d-444c-9d54-4d4bdf3abeea · outbound

This paper cites Journal of electronic imaging8(3), 279–289 (1999).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Journal of electronic imaging8(3), 279–289 (1999)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.649755Z

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Observation bde06ad2-a726-4133-839b-5c725c7edbde · outbound

This paper cites ACM Transactions on Mathematical Software (TOMS)3(4), 398–403 (1977).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation ACM Transactions on Mathematical Software (TOMS)3(4), 398–403 (1977)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.639383Z

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Observation 111e6c6c-3ad9-4a75-8ba1-78fbbdf38299 · outbound

This paper cites CNN Cascades for Segmenting Whole Slide Images of the Kidney.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation CNN Cascades for Segmenting Whole Slide Images of the Kidney

Reference 15

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Observation 73465394-6c11-42f7-b231-83dfb448b9e4 · outbound

This paper cites Molecular informatics 35(1), 3–14 (2016).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Molecular informatics 35(1), 3–14 (2016)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.628835Z

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Observation 2b51b7eb-435a-4ea7-a0a1-fe18b97a1914 · outbound

This paper cites Journal of the American Society of Nephrology30(10), 1953–1967 (2019).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Journal of the American Society of Nephrology30(10), 1953–1967 (2019)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.620398Z

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Observation 28ecf2c3-0557-4a71-baae-96116b6c7b10 · outbound

This paper cites In: Medical Imaging 2018: Digital Pathology.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: Medical Imaging 2018: Digital Pathology

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.610024Z

Source-reported events for the cited work

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Observation 5abed5fa-be4b-42cf-bec0-fdd876934b6d · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vi- sion.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: Proceedings of the IEEE/CVF winter conference on applications of computer vi- sion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.599363Z

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Observation 84d1b5c3-f1a6-408b-b74b-4883f14f5230 · outbound

This paper cites In: ICASSP 2020-2020 IEEE international conference on acoustics, speech and signal processing (ICASSP).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: ICASSP 2020-2020 IEEE international conference on acoustics, speech and signal processing (ICASSP)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.586700Z

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Observation f250a1d3-163d-493c-a50a-b1e3705c3e05 · outbound

This paper cites Kidney international re- ports 4(7), 955–962 (2019).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Kidney international re- ports 4(7), 955–962 (2019)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.575284Z

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Observation f62beb8d-d339-495f-99fc-8579c3cb60ec · outbound

This paper cites Adam: A Method for Stochastic Optimization.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Adam: A Method for Stochastic Optimization

Reference 22

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Observation fd7951b3-f5bf-4c7c-9330-00a27048d057 · outbound

This paper cites Computer Graphics and Image Processing 15(4), 319–338 (1981).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Computer Graphics and Image Processing 15(4), 319–338 (1981)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.564882Z

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Observation f2305076-9864-4b80-ae34-6ec5c0366946 · outbound

This paper cites Computers & Electrical Engineering 87, 106765 (2020).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Computers & Electrical Engineering 87, 106765 (2020)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.554973Z

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Observation bc166dd9-71fa-4ecb-8283-552ac0ac2c08 · outbound

This paper cites IEEE Trans- actions on Image Processing16(5), 1437–1445 (2007).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation IEEE Trans- actions on Image Processing16(5), 1437–1445 (2007)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.544497Z

Source-reported events for the cited work

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Observation b2f7c059-65d8-4053-b298-3abb6f80cbb8 · outbound

This paper cites KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection

Reference 26

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Observation f3f5a118-4e14-4123-bd18-589123305085 · outbound

This paper cites In: 2009 IEEE Congress on Evolutionary Computation.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: 2009 IEEE Congress on Evolutionary Computation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.534488Z

Source-reported events for the cited work

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Observation 3adb6fa2-cd00-4282-96c6-324520a43cd7 · outbound

This paper cites Advances in Neural Information Processing Systems36 (2024).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Advances in Neural Information Processing Systems36 (2024)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.524431Z

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Observation a520e944-f3dd-401e-836b-20e1ceff947d · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence44(7), 3523–3542 (2021).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation IEEE transactions on pattern analysis and machine intelligence44(7), 3523–3542 (2021)

Reference 29

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Observation 7e9a2609-2653-48ba-b6ba-f379f144dd98 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.508015Z

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Observation 9c8b696b-cbae-4cd7-b334-9a87b4dd840b · outbound

This paper cites Computer Methods and Programs in Biomedicine241, 107748 (2023).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Computer Methods and Programs in Biomedicine241, 107748 (2023)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.495996Z

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Observation 279f632b-f4b3-44ed-9ff6-5651c36f2e87 · outbound

This paper cites In: Medical Imaging 2001: Image Processing.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: Medical Imaging 2001: Image Processing

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.483250Z

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Observation 3490acfe-7ebd-4296-8d21-748a2e956bd5 · outbound

This paper cites In: 2019 international conference on computational intelligence and knowledge economy (ICCIKE).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: 2019 international conference on computational intelligence and knowledge economy (ICCIKE)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.473044Z

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Observation 3c28a5a6-8494-4ec6-b20f-748f52f9a806 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.462870Z

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Observation 4d0afb2a-d6e2-4683-aeeb-1bdb0b84cadc · outbound

This paper cites In: Medical image computing and computer-assisted 12 Huy et al.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: Medical image computing and computer-assisted 12 Huy et al

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.451907Z

Source-reported events for the cited work

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Observation 2e17a284-958e-46fa-9ee1-397aadb1d6f4 · outbound

This paper cites Medical Imaging Tech- nology 36(2), 63–71 (2018).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Medical Imaging Tech- nology 36(2), 63–71 (2018)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.440504Z

Source-reported events for the cited work

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Observation 7e56d2b0-e9d3-4436-bce8-aeea5c117edf · outbound

This paper cites In: Mahmud, M., He, J., Vassanelli, S., van Zun- dert, A., Zhong, N.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: Mahmud, M., He, J., Vassanelli, S., van Zun- dert, A., Zhong, N

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.429991Z

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Observation 04fd656e-4905-45cb-9e65-9365dfccaf95 · outbound

This paper cites an unresolved cited work.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Unresolved cited work

Reference 38

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Observation 3a8c72f5-da11-421f-bfdc-3facfa145c13 · outbound

This paper cites In: Advances in data sciences, security and applications: Proceedings of ICDSSA 2019.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: Advances in data sciences, security and applications: Proceedings of ICDSSA 2019

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.409976Z

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Observation 684fa377-3b2a-4663-a73d-27f4510dd2c4 · outbound

This paper cites Advances in Neural Information Processing Systems (2017).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Advances in Neural Information Processing Systems (2017)

Reference 40

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Observation ae53dac1-3f10-4d3e-bcd1-086f8b846536 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention– MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV 23.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation In: Medical Image Computing and Computer Assisted Intervention– MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV 23

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.391432Z

Source-reported events for the cited work

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Observation a00ed346-6858-4305-bbfc-c63c663d7595 · outbound

This paper cites Scientific Reports 14 (07 2024).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Scientific Reports 14 (07 2024)

Reference 42

Resolution: verified exact; doi, observed 2026-08-12T10:49:22.284330Z

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Observation ee6dd07b-8202-4afa-9c38-b500dd10f1b9 · outbound

This paper cites an unresolved cited work.

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T10:49:22.242643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a03a951-d557-410f-b622-ecba9ace675e · outbound

This paper cites Nature genetics51(1), 12–18 (2019).

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation Nature genetics51(1), 12–18 (2019)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:49:22.367364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.