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Paper Citation Record · LEDGER

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning

As of 11 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.13826.

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

pith.paper-citation-record.v1
2607.13826 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:38:50.849723Z

measured 46 of 46 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

46 of 46 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved42
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 777641ea-acf1-4c00-b99b-030ea922b05e · outbound

This paper cites CA: A Cancer Journal for Clinicians , year=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning CA: A Cancer Journal for Clinicians , year=

Reference 1

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source=arxiv_source observed=2026-08-02T03:38:45.988131Z digest=sha256:5d63167ce1cf0896f281d40874c6f3523a5f89c391ed14c5d924ecfb2c119a68

Observation f30bb5af-081f-4d66-a7c9-a24e4b39a282 · outbound

This paper cites Annals of Surgical Oncology , year=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Annals of Surgical Oncology , year=

Reference 2

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Observation 0b8ceaaf-2c9e-445e-9e41-a87be3b97798 · outbound

This paper cites Nature Reviews Cancer , year=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Nature Reviews Cancer , year=

Reference 3

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Observation 0e2a70f7-da67-445c-bb6e-0bc04217aa75 · outbound

This paper cites CVPR Workshops , year=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning CVPR Workshops , year=

Reference 4

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Observation 6fbac95e-7c57-4d7a-a3b0-d1b806c93786 · outbound

This paper cites an unresolved cited work.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Unresolved cited work

Reference 5

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verified exact
doi, observed 2026-08-02T03:43:23.106298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 296b603d-52b6-4995-aa25-9878f120d2f5 · outbound

This paper cites , year =.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning , year =

Reference 6

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Observation 7535e0d5-fc32-4606-9c38-e7e738d54043 · outbound

This paper cites Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis , volume =.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis , volume =

Reference 7

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Observation e3b6af45-4bf1-40da-80dc-f8a1ce3f6d61 · outbound

This paper cites and others , year =.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning and others , year =

Reference 8

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Observation 35f59730-278e-465a-b133-884b968bdaec · outbound

This paper cites 2023 , eprint=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2023 , eprint=

Reference 9

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Observation 47a93c67-970e-4bc4-aa6a-f0212384a478 · outbound

This paper cites 2021 , eprint=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2021 , eprint=

Reference 10

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Observation c994de2e-1d5f-4bc9-a586-bbaebc29d895 · outbound

This paper cites and others , year =.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning and others , year =

Reference 11

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Observation 4a815b8a-56ac-4246-b1df-087345d57a4f · outbound

This paper cites Regression Shrinkage and Selection Via the Lasso , volume =.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Regression Shrinkage and Selection Via the Lasso , volume =

Reference 12

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Observation b3115d1f-9813-4bd6-ac69-427dedcfcc57 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 13

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Observation 4a88cccc-603b-479b-aba9-df50dc76b1ed · outbound

This paper cites DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data , volume=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data , volume=

Reference 14

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 65509843-9135-4b7b-a585-004abd38cf96 · outbound

This paper cites 2022 , eprint=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2022 , eprint=

Reference 15

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Observation bfffcbe9-a259-4e75-a365-1e2cfe613338 · outbound

This paper cites 2017 , eprint=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2017 , eprint=

Reference 16

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source=arxiv_source observed=2026-08-02T03:38:47.743092Z digest=sha256:4bb019f3a78dfd8516069433776b6d6dca662e751b35a4148ff3d6c5161166f3

Observation b9e6927d-6d67-4937-9bbb-714dbcc68ba7 · outbound

This paper cites 2021 , eprint=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2021 , eprint=

Reference 17

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Observation 8ed898f4-4d44-484a-aab2-91ff89aaed60 · outbound

This paper cites Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer , volume =.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer , volume =

Reference 18

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Observation af750219-c0df-4fb8-8bd1-fc51210db07c · outbound

This paper cites 2020 , eprint=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2020 , eprint=

Reference 19

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Observation a64613b6-8f4a-46a7-bf60-b3bd605b9ff0 · outbound

This paper cites 2023 , eprint=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2023 , eprint=

Reference 20

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Observation da61730a-2a50-4ef4-a9f3-894467bb3dab · outbound

This paper cites 2022 , eprint=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2022 , eprint=

Reference 21

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Observation bd78d17d-2b7f-47c4-9dd4-241333e86ab7 · outbound

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Journal of Clinical Medicine , VOLUME =

Reference 22

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Observation 85cf261b-7a48-4c1a-ac31-aa3b4651311e · outbound

This paper cites Diagnostics , VOLUME =.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Diagnostics , VOLUME =

Reference 23

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Observation eb8965ba-3a37-4b70-b339-529349b3a0b2 · outbound

This paper cites 2020 , eprint=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2020 , eprint=

Reference 24

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Observation 3a6afa1e-a212-425f-9b43-d012fecb6ba6 · outbound

This paper cites CA: A Cancer Journal for Clinicians , volume=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning CA: A Cancer Journal for Clinicians , volume=

Reference 25

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Observation 283436ce-2e82-42b2-9826-4c66007f0ace · outbound

This paper cites and Janssen, Boris V.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning and Janssen, Boris V

Reference 26

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Observation 13a8972a-62c6-4b30-a88a-3a03bca8a21d · outbound

This paper cites 2023 , eprint=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2023 , eprint=

Reference 27

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Observation 7ea970a1-44a3-4e99-a70e-4b86f85ea754 · outbound

This paper cites 2015 , eprint=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2015 , eprint=

Reference 28

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Observation beec919e-7bbb-4eab-8ab5-60ec0785eb07 · outbound

This paper cites World Journal of Oncology , year=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning World Journal of Oncology , year=

Reference 29

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no resolver link, observed 2026-08-02T03:38:49.037992Z

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Observation 791ca893-0967-4a0d-bdf9-5a8f85bc9733 · outbound

This paper cites Journal of the National Comprehensive Cancer Network , year=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Journal of the National Comprehensive Cancer Network , year=

Reference 30

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Observation 6ed6caeb-8c49-4dee-bae1-15b139f8c4df · outbound

This paper cites Nature Reviews Gastroenterology & Hepatology , year=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Nature Reviews Gastroenterology & Hepatology , year=

Reference 31

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Observation feb0be57-c549-4229-8083-ab5189ca25b1 · outbound

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Surgery , year=

Reference 32

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Observation 0322e113-14ac-4a60-95ae-ff841f21f359 · outbound

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Pancreatology , year=

Reference 33

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Observation 89ceb4ac-bf62-4ac0-9ed4-2debed4134b2 · outbound

This paper cites Annals of Surgical Oncology , year=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Annals of Surgical Oncology , year=

Reference 34

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Observation 01fe6dac-8875-44de-8c66-2e2ebb2451b3 · outbound

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Medical Image Analysis , year =

Reference 35

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Observation c0804e2b-8de3-4d05-aebf-9c5c1317d004 · outbound

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Front Public Health , year=

Reference 36

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Observation c36b218b-695c-4ea7-9f4b-784164552ed4 · outbound

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Medical Physics , year=

Reference 37

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Observation 22d1e2cb-6f09-45d3-8431-1f99d5173ac9 · outbound

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2024 , issn =

Reference 38

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Observation 76affe8f-54a1-4712-9e1b-e841fab771bb · outbound

This paper cites , author=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning , author=

Reference 39

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Observation 08ee21a5-bc5a-4738-ac89-a33db784786a · outbound

This paper cites , author=.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning , author=

Reference 40

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning , author=

Reference 41

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning European Radiology , year =

Reference 42

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning European Radiology , year =

Reference 43

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2022 , eprint=

Reference 44

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Observation 2464c1b9-6b15-4087-8c77-d11eca291def · outbound

This paper cites Deep multi-task learning structure for segmentation and classification of supratentorial brain tumors in MR images , journal =.

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Deep multi-task learning structure for segmentation and classification of supratentorial brain tumors in MR images , journal =

Reference 45

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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning International Conference on Learning Representations , year=

Reference 46

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