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Paper Citation Record · LEDGER

PanTS: The Pancreatic Tumor Segmentation Dataset

As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 2 inbound Pith citation observations for arXiv:2507.01291.

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

pith.paper-citation-record.v1
2507.01291 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:02:33.705887Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:30:54.810202Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:30:55.675842Z

Reference resolution

68 of 68 outbound references displayed

  • verified exact3
  • verified fuzzy43
  • unresolved20
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 207587e4-8253-4077-93b1-4802e8f08e9a · outbound

This paper cites Sauter, Ivan Nesic, Marko Obradovic, Shan Yang, Sebastian Manneck, Carl Glessgen, Johanna M.

PanTS: The Pancreatic Tumor Segmentation Dataset Sauter, Ivan Nesic, Marko Obradovic, Shan Yang, Sebastian Manneck, Carl Glessgen, Johanna M

Reference 1

Resolution
verified exact
doi, observed 2026-08-06T21:02:33.863224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4ceb4530-c925-4c44-885c-e31bca4a6b16 · outbound

This paper cites an unresolved cited work.

PanTS: The Pancreatic Tumor Segmentation Dataset Unresolved cited work

Reference 2

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unresolved
no resolver link, observed 2026-08-06T21:02:27.997275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:27.997275Z digest=sha256:02c5b80ba07bdc474ed4f4b5466cc722545eca472e7901987256b63a4fc5001b

Observation 82d378c2-f897-42b9-a700-af98ef84c4b6 · outbound

This paper cites Erickson, Sheri Kirk, Yu Lee, Marston W.

PanTS: The Pancreatic Tumor Segmentation Dataset Erickson, Sheri Kirk, Yu Lee, Marston W

Reference 3

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T21:02:38.938976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1f404019-c943-4ee7-859b-40696f0a6bbe · outbound

This paper cites The panorama study protocol: Pancreatic cancer diagnosis-radiologists meet ai.

PanTS: The Pancreatic Tumor Segmentation Dataset The panorama study protocol: Pancreatic cancer diagnosis-radiologists meet ai

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.931068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:28.117755Z digest=sha256:e24c11ca2aebf1ea0507c8dc8018b1bb424df7726d469f9a9ab2fee15da08588

Observation fb889f0e-59af-4a54-9d07-3f7a7cdedc97 · outbound

This paper cites The medical segmentation decathlon.

PanTS: The Pancreatic Tumor Segmentation Dataset The medical segmentation decathlon

Reference 5

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unresolved
no resolver link, observed 2026-08-06T21:02:28.147280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:28.147280Z digest=sha256:64386c1a0b63aff2f769c7423e6d74bcdb73428859580d5dd397ac1f39bef749

Observation a54ca3b4-27dc-4244-8cf8-a95c3791cda6 · outbound

This paper cites The medical segmentation decathlon.

PanTS: The Pancreatic Tumor Segmentation Dataset The medical segmentation decathlon

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.923300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 16bb17da-3a9c-4c96-9d18-8435febce93e · outbound

This paper cites an unresolved cited work.

PanTS: The Pancreatic Tumor Segmentation Dataset Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:02:38.914600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 28d722b2-f094-4232-8256-3651bd8a4a44 · outbound

This paper cites Label Critic: Design Data Before Models.

PanTS: The Pancreatic Tumor Segmentation Dataset Label Critic: Design Data Before Models

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:02:34.330985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:28.371308Z digest=sha256:d707340602c9316fc5588e847dd8bf2d7ac4c9ce8cb4430cdf76b9f1bed1136a

Observation 7f3b643f-b85b-4c2e-8489-3e550190d563 · outbound

This paper cites RadGPT: Constructing 3D Image-Text Tumor Datasets.

PanTS: The Pancreatic Tumor Segmentation Dataset RadGPT: Constructing 3D Image-Text Tumor Datasets

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:28.567043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:28.567043Z digest=sha256:d25cb2b90869b11ba53591b063d1ee6ea229a6b2c1a97e0a97819bc89d994154

Observation 51709eb6-247b-4946-a2c1-779de87e82e6 · outbound

This paper cites The Liver Tumor Segmentation Benchmark (LiTS).

PanTS: The Pancreatic Tumor Segmentation Dataset The Liver Tumor Segmentation Benchmark (LiTS)

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:28.649938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:28.649938Z digest=sha256:f84af4723b8349885569152b53bbd38a2a4152c4dd7994e78d968b9784412fbe

Observation 49600744-7cfa-4676-8870-74f4a5e772c0 · outbound

This paper cites Large-scale pancreatic cancer detection via non-contrast ct and deep learning.

PanTS: The Pancreatic Tumor Segmentation Dataset Large-scale pancreatic cancer detection via non-contrast ct and deep learning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.898522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fca01a4c-8cc9-416d-8247-3a90aa8005eb · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

PanTS: The Pancreatic Tumor Segmentation Dataset MONAI: An open-source framework for deep learning in healthcare

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:28.865004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ab139b28-06a2-48b6-870c-305b94891dcf · outbound

This paper cites the advance of solid tumor research in china.

PanTS: The Pancreatic Tumor Segmentation Dataset the advance of solid tumor research in china

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.889714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ff69528b-47fb-43bf-9941-d854e64be752 · outbound

This paper cites Embracing massive medical data.

PanTS: The Pancreatic Tumor Segmentation Dataset Embracing massive medical data

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.879378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 430ed8eb-439f-4be5-905a-27d1d1921c2d · outbound

This paper cites Diagnosis and detection of pancreatic cancer.

PanTS: The Pancreatic Tumor Segmentation Dataset Diagnosis and detection of pancreatic cancer

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.870415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:28.994161Z digest=sha256:bac590bdb9bdd7918abadd288c0453c26cf1484f9aa8dcee9f030136a4358634

Observation 577e1e21-c993-48ec-a82f-a6c4a9621c04 · outbound

This paper cites Clinical clues of pre-symptomatic pancreatic ductal adenocarcinoma prior to its diagnosis: a retrospective review of ct scans and laboratory tests.

PanTS: The Pancreatic Tumor Segmentation Dataset Clinical clues of pre-symptomatic pancreatic ductal adenocarcinoma prior to its diagnosis: a retrospective review of ct scans and laboratory tests

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.860707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f02fe8aa-dae0-4827-a8ad-e3fa5560de2a · outbound

This paper cites Rsna 2023 abdominal trauma detection.

PanTS: The Pancreatic Tumor Segmentation Dataset Rsna 2023 abdominal trauma detection

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.850647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 779bfe8d-6648-4c17-b357-1891b6fc212b · outbound

This paper cites Dints: Differentiable neural network topology search for 3d medical image segmentation.

PanTS: The Pancreatic Tumor Segmentation Dataset Dints: Differentiable neural network topology search for 3d medical image segmentation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.841012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 11592afc-7801-4647-ae3b-596743df70ce · outbound

This paper cites The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes.

PanTS: The Pancreatic Tumor Segmentation Dataset The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:29.329696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8774dc65-ec95-4da3-9c2a-9ab06cbebe47 · outbound

This paper cites An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in ct imaging., 2020.

PanTS: The Pancreatic Tumor Segmentation Dataset An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in ct imaging., 2020

Reference 20

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a2cc470f-51f5-4794-9655-cadf2aa05e84 · outbound

This paper cites Pancreatic steatosis on computed tomography is an early imaging feature of pre-diagnostic pancreatic cancer: A preliminary study in overweight patients.

PanTS: The Pancreatic Tumor Segmentation Dataset Pancreatic steatosis on computed tomography is an early imaging feature of pre-diagnostic pancreatic cancer: A preliminary study in overweight patients

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.824635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 891e4321-cc76-4531-8349-a151e9c65235 · outbound

This paper cites Artificial intelligence in pancreatic cancer.

PanTS: The Pancreatic Tumor Segmentation Dataset Artificial intelligence in pancreatic cancer

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.814444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9c741788-a7e2-4651-8e62-a3bbf383074c · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.

PanTS: The Pancreatic Tumor Segmentation Dataset nnu-net: a self-configuring method for deep learning-based biomedical image segmentation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.804873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1f7bf6d2-3b25-4f75-b22d-6b524216d4e7 · outbound

This paper cites nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.

PanTS: The Pancreatic Tumor Segmentation Dataset nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Reference 25

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21e91a5e-86dc-43d0-bdb9-b0f14b94021d · outbound

This paper cites Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation.

PanTS: The Pancreatic Tumor Segmentation Dataset Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation

Reference 26

Resolution
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no resolver link, observed 2026-08-06T21:02:30.063482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9ac63c27-75c5-47a7-9953-4d918c2a4e00 · outbound

This paper cites Label-assemble: Leveraging multiple datasets with partial labels.

PanTS: The Pancreatic Tumor Segmentation Dataset Label-assemble: Leveraging multiple datasets with partial labels

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8f6526d8-c289-418a-9afe-65e29f3a148f · outbound

This paper cites Scaling Laws for Neural Language Models.

PanTS: The Pancreatic Tumor Segmentation Dataset Scaling Laws for Neural Language Models

Reference 28

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5a3d4089-d2b0-4699-b7e0-59fa22115acb · outbound

This paper cites Chaos challenge- combined (ct-mr) healthy abdominal organ segmentation.

PanTS: The Pancreatic Tumor Segmentation Dataset Chaos challenge- combined (ct-mr) healthy abdominal organ segmentation

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ad21ff3d-7d69-4bad-b435-cc39b5d8fc2b · outbound

This paper cites Scalable neural architecture search for 3d medical image segmentation.

PanTS: The Pancreatic Tumor Segmentation Dataset Scalable neural architecture search for 3d medical image segmentation

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 2026-08-07T06:34:17.273281+00:00.

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Observation 8333bf95-2383-46f2-a8e8-d824c369a49f · outbound

This paper cites A retrospective preliminary study of intrapancreatic late en- hancement as a noteworthy imaging finding in the early stages of pancreatic adenocarcinoma.

PanTS: The Pancreatic Tumor Segmentation Dataset A retrospective preliminary study of intrapancreatic late en- hancement as a noteworthy imaging finding in the early stages of pancreatic adenocarcinoma

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.758590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cbdd2a07-b52e-4668-9101-61a841cfd94d · outbound

This paper cites Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge.

PanTS: The Pancreatic Tumor Segmentation Dataset Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.749365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 131298c6-e750-43de-a4b5-287db8565f12 · outbound

This paper cites Early detection and localization of pancreatic cancer by label-free tumor synthesis.

PanTS: The Pancreatic Tumor Segmentation Dataset Early detection and localization of pancreatic cancer by label-free tumor synthesis

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.739489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2f0d6dad-9e02-4ff6-a356-36203a49a60a · outbound

This paper cites Abdomenatlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking.

PanTS: The Pancreatic Tumor Segmentation Dataset Abdomenatlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.729710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cca5307d-9608-463b-b27e-06dd2f3cb159 · outbound

This paper cites How well do supervised models transfer to 3d image segmentation? In International Conference on Learning Representations, 2024.

PanTS: The Pancreatic Tumor Segmentation Dataset How well do supervised models transfer to 3d image segmentation? In International Conference on Learning Representations, 2024

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.719605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c88be7e4-b3d7-468a-87b3-40f508fda566 · outbound

This paper cites Scalemai: Accelerating the development of trusted datasets and ai models.

PanTS: The Pancreatic Tumor Segmentation Dataset Scalemai: Accelerating the development of trusted datasets and ai models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:30.945845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:30.945845Z digest=sha256:a39d0a234302929748cfec679f56dc23f4cf975dec8b534cea1199d34e32795e

Observation 56f26719-886d-4521-a3cb-01ebfffa5891 · outbound

This paper cites Text-Driven Tumor Synthesis.

PanTS: The Pancreatic Tumor Segmentation Dataset Text-Driven Tumor Synthesis

Reference 37

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no resolver link, observed 2026-08-06T21:02:31.014941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:31.014941Z digest=sha256:0b0c9176673e63c5b010c93df39ac9911d2b267522ea2bd41a5747cf1b3e05c9

Observation 477c8b5a-fa73-4471-97c6-aaf8d1ac315f · outbound

This paper cites Clip-driven universal model for organ segmentation and tumor detection.

PanTS: The Pancreatic Tumor Segmentation Dataset Clip-driven universal model for organ segmentation and tumor detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.709939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.085378Z digest=sha256:2252d2e07610dcf4fe50f1c703091eddbff9b1f96808c3d63eb678c6aca8cdcd

Observation 8a2777ee-ac59-4994-9053-bea82a034d25 · outbound

This paper cites Universal and extensible language- vision models for organ segmentation and tumor detection from abdominal computed tomog- raphy.

PanTS: The Pancreatic Tumor Segmentation Dataset Universal and extensible language- vision models for organ segmentation and tumor detection from abdominal computed tomog- raphy

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.700422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.153457Z digest=sha256:a1970617cb19545e6b22d22cb777fef33ca9e8f9a925f236771328bcd995498f

Observation 7cce1be0-d9ca-42ef-bb1a-d8b624ec4ae2 · outbound

This paper cites WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image.

PanTS: The Pancreatic Tumor Segmentation Dataset WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

Reference 40

Resolution
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no resolver link, observed 2026-08-06T21:02:31.229789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:31.229789Z digest=sha256:e7f14b34379f641f687b671242691857f26d5d16b069b7ee5db17c5eef553cac

Observation 1d365290-9c1e-42ba-a63b-6ae42a8ad401 · outbound

This paper cites Word: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from ct image.

PanTS: The Pancreatic Tumor Segmentation Dataset Word: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from ct image

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.690455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.316035Z digest=sha256:82f5cf664905bafaea7b050f31dbf2c51305cf6ae3be1b8baac26794f26cef33

Observation 2bf038c2-7fd7-4316-a5bb-9ed01fb39a59 · outbound

This paper cites AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?.

PanTS: The Pancreatic Tumor Segmentation Dataset AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:02:33.995652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.410505Z digest=sha256:469575abb13ba5685e0b36cab04f8f3c6724f993d8fe25aa329cac94c10cd180

Observation d755b705-7cca-49c2-8669-f81bb4ff548e · outbound

This paper cites Abdomenct-1k: Is abdominal organ segmentation a solved problem.

PanTS: The Pancreatic Tumor Segmentation Dataset Abdomenct-1k: Is abdominal organ segmentation a solved problem

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.680599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.476219Z digest=sha256:30bd838eac738be97e62a40a9ae7768614cadc9246bd05e0fe4b3cfc517d1c09

Observation 4f31ecf7-ac7a-4dcf-9e8a-da932b56a030 · outbound

This paper cites Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge.

PanTS: The Pancreatic Tumor Segmentation Dataset Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:31.607506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:31.607506Z digest=sha256:5316ea5d967896064a3a037d1a5e38ff055cc125d968cd3eb50561f0f619d332

Observation c0648f8c-04d3-4c80-9a34-19ae972a9e0f · outbound

This paper cites Pancreatic cancer: A review of clinical diagnosis, epidemiology, treatment and outcomes.

PanTS: The Pancreatic Tumor Segmentation Dataset Pancreatic cancer: A review of clinical diagnosis, epidemiology, treatment and outcomes

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.670652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.691190Z digest=sha256:0e9062b637a9909689195999cc3d219ea0d93140289a5bc8f5723d374b9c31c4

Observation 329b86d2-53a3-4e03-9267-08833312256b · outbound

This paper cites Moawad, Diana Fuentes, Ahmed Morshid, Ahmed M.

PanTS: The Pancreatic Tumor Segmentation Dataset Moawad, Diana Fuentes, Ahmed Morshid, Ahmed M

Reference 47

Resolution
malformed identifier
no resolver link, observed 2026-08-06T21:02:31.753603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:31.753603Z digest=sha256:ec9a1b117249200fc5fe26c259f0712bf8b24ddf9808cb9c00db3df1c71b0434

Observation d1f16277-7399-48c5-9c79-45542d00620e · outbound

This paper cites Radiomics-based machine-learning models can detect pancreatic cancer on prediagnostic computed tomography scans at a substantial lead time before clinical diagnosis.

PanTS: The Pancreatic Tumor Segmentation Dataset Radiomics-based machine-learning models can detect pancreatic cancer on prediagnostic computed tomography scans at a substantial lead time before clinical diagnosis

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.645872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.829513Z digest=sha256:c7a1e58849f07ee68a0ea75919b1f7dd71e4ad1f429ca0fa57e4b5eff9f5e826

Observation d586a423-16c8-4384-8caf-3758a3b5f349 · outbound

This paper cites Abdomenatlas-8k: Annotating 8,000 abdominal ct volumes for multi-organ segmentation in three weeks.

PanTS: The Pancreatic Tumor Segmentation Dataset Abdomenatlas-8k: Annotating 8,000 abdominal ct volumes for multi-organ segmentation in three weeks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.447060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.877343Z digest=sha256:b884a7c52c7f3349046b93110a2a434c1caf2b466c2c5e22c45671421b6a61d8

Observation a9f3d67c-f84e-4438-9925-d7724d60a5ae · outbound

This paper cites Ct-org, a new dataset for multiple organ segmentation in computed tomography.

PanTS: The Pancreatic Tumor Segmentation Dataset Ct-org, a new dataset for multiple organ segmentation in computed tomography

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.262510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:31.953041Z digest=sha256:ce73403aaedaa71fa1164575f4b0c8d614ffab873ac13f73faab1919f5d27d9b

Observation 28b72b12-cac5-4350-995f-977f59a1481e · outbound

This paper cites Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation.

PanTS: The Pancreatic Tumor Segmentation Dataset Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:38.150284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.015332Z digest=sha256:cbfb69746ed76895d97f0cc9007305f1443c2fcf4f26103526893394706c4338

Observation 784d5998-6e11-4fa1-85b4-957a9de2528c · outbound

This paper cites Cancer statistics, 2024.

PanTS: The Pancreatic Tumor Segmentation Dataset Cancer statistics, 2024

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:37.954110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.075131Z digest=sha256:bdde98208b07d7d9f6036bdc9c5017db933a48de18d0d20591269d4a09378593

Observation 2e519521-2ac0-4563-8a27-48f96f7c008a · outbound

This paper cites Cancer statistics, 2025.

PanTS: The Pancreatic Tumor Segmentation Dataset Cancer statistics, 2025

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:37.698612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.202360Z digest=sha256:219df12386009446ade293f30b2e6bea55f4d096e9328743873a16c920a656bd

Observation 36ba38ec-5a81-4b60-bcff-cfd44c94d202 · outbound

This paper cites Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential benefits of early intervention: A retrospective study.

PanTS: The Pancreatic Tumor Segmentation Dataset Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential benefits of early intervention: A retrospective study

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:37.318208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.272121Z digest=sha256:9afd9b9102574fd240a3994db5474a479c3c1206aae0bb5ae577a2e8288e0e9d

Observation c67e2090-f0a7-420f-95ea-3b4128195f5e · outbound

This paper cites Self-supervised pre-training of swin transformers for 3d medical image analysis.

PanTS: The Pancreatic Tumor Segmentation Dataset Self-supervised pre-training of swin transformers for 3d medical image analysis

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:37.030426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.351227Z digest=sha256:4cc3fbd3b2a8935708e4178e5698326601a81c42e8a0b7839d58634573b7c363

Observation e4825ee3-e6c1-45b0-a0fb-f56a94aed6e3 · outbound

This paper cites Efficient 3d representation learning for medical image analysis.

PanTS: The Pancreatic Tumor Segmentation Dataset Efficient 3d representation learning for medical image analysis

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:36.724310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.439019Z digest=sha256:e1e309e35aee214cfa1f42fe9f26a6fa9a7190447d37268b9ddf0af83a732c05

Observation a3d9004b-88e1-4412-9910-ae18c7052e20 · outbound

This paper cites Abdominal or pelvic enhanced CT images within 10 days before surgery of 230 patients with stage II colorectal cancer (StageII-Colorectal-CT), 2022.

PanTS: The Pancreatic Tumor Segmentation Dataset Abdominal or pelvic enhanced CT images within 10 days before surgery of 230 patients with stage II colorectal cancer (StageII-Colorectal-CT), 2022

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:32.551554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:32.551554Z digest=sha256:b0d254cf90b5c1468461c019532c365bdd38d8e076078b1078937edad9e72c1d

Observation 96b8d492-8d5e-4ab6-94ad-b55a9cbb1aad · outbound

This paper cites Ct abnormalities of the pancreas associated with the subsequent diagnosis of clinical stage i pancreatic ductal adenocarcinoma more than 1 year later: a case-control study.

PanTS: The Pancreatic Tumor Segmentation Dataset Ct abnormalities of the pancreas associated with the subsequent diagnosis of clinical stage i pancreatic ductal adenocarcinoma more than 1 year later: a case-control study

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:36.578602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.637083Z digest=sha256:2f99b25cefa524f3fe6607baa97a740085a5a11cef5e70fe6a4db0f767f11f70

Observation 362931ba-8dcb-4260-a323-87de4dd84e47 · outbound

This paper cites Multi-modal learning from unpaired images: Application to multi-organ segmentation in ct and mri.

PanTS: The Pancreatic Tumor Segmentation Dataset Multi-modal learning from unpaired images: Application to multi-organ segmentation in ct and mri

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:36.423115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:32.717692Z digest=sha256:6daa290efe14216bb24ad715914a34dc86e635c70020692af466f48aae5c65f2

Observation 7d8efc03-f28f-4fc8-95b4-31f9fc98c385 · outbound

This paper cites Visualizing data using t-sne.

PanTS: The Pancreatic Tumor Segmentation Dataset Visualizing data using t-sne

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:32.824334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:32.824334Z digest=sha256:bd9d0fe25e3fa26696018fc996616805246a9b2bc5eea34f8ab289dba73bd6b8

Observation 9fabd489-5b11-4399-87d0-b4c267968672 · outbound

This paper cites Totalseg- mentator: robust segmentation of 104 anatomic structures in ct images.

PanTS: The Pancreatic Tumor Segmentation Dataset Totalseg- mentator: robust segmentation of 104 anatomic structures in ct images

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:32.923686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:32.923686Z digest=sha256:a72d8f07177bb5a1afc6e77aa5e0cd476014c49526d8b933156f912ed16fd252

Observation 6b9d64ed-8014-4896-9ad9-707d17535332 · outbound

This paper cites The felix project: Deep networks to detect pancreatic neoplasms.

PanTS: The Pancreatic Tumor Segmentation Dataset The felix project: Deep networks to detect pancreatic neoplasms

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:36.267623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.016767Z digest=sha256:8adb0bef477e9198e996493e89d181c6a8eb1ecf1fd1e0e94320250d0a8645b2

Observation f723126b-8113-4bfb-8616-42a7142e4154 · outbound

This paper cites C2fnas: Coarse-to-fine neural architecture search for 3d medical image segmentation.

PanTS: The Pancreatic Tumor Segmentation Dataset C2fnas: Coarse-to-fine neural architecture search for 3d medical image segmentation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:36.101276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.135067Z digest=sha256:c02a091e3db6ab42e031831ed66d0d5c4684ac65318664e74445edbf49405208

Observation 17565f3f-7fea-482b-b748-49c5b3b1270a · outbound

This paper cites Scaling vision transform- ers.

PanTS: The Pancreatic Tumor Segmentation Dataset Scaling vision transform- ers

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:33.206136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:33.206136Z digest=sha256:c6b21ae8c1c03c18579dac58f4246ffcd4db21dacab2c9938ce444300dcc2f61

Observation 8328ff6e-536c-40c3-9b13-39da69051b17 · outbound

This paper cites Challenges in diagnosis of pancreatic cancer.

PanTS: The Pancreatic Tumor Segmentation Dataset Challenges in diagnosis of pancreatic cancer

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:35.834974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.286104Z digest=sha256:65e2b9b04fc0ee9f98f245034ab577c1a0e31c41d2cf86dfad33b5972d437d25

Observation 013ebcb9-ead7-45f6-945d-2fb9934658a4 · outbound

This paper cites Leveraging ai predicted and expert revised annotations in interactive segmentation: Continual tuning or full training? In IEEE International Symposium on Biomedical Imaging.

PanTS: The Pancreatic Tumor Segmentation Dataset Leveraging ai predicted and expert revised annotations in interactive segmentation: Continual tuning or full training? In IEEE International Symposium on Biomedical Imaging

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:35.522488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.397518Z digest=sha256:b08cf0c02d6f210ced1d035535811d8ab3b70e5e04cdc36f18b7cbd899580264

Observation e9f174df-3452-455e-abd3-f029bd764071 · outbound

This paper cites Contin- ual learning for abdominal multi-organ and tumor segmentation.

PanTS: The Pancreatic Tumor Segmentation Dataset Contin- ual learning for abdominal multi-organ and tumor segmentation

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:35.254593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.485058Z digest=sha256:7b839a21065ea907a2a9f861434cb848862d44b9d7ac50314fdcc2d533e84695

Observation 1d2d7a6f-b3f7-486f-a51c-5a3ce9ae0061 · outbound

This paper cites Pancreatic cancer: a review of risk factors, diagnosis, and treatment.

PanTS: The Pancreatic Tumor Segmentation Dataset Pancreatic cancer: a review of risk factors, diagnosis, and treatment

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:34.950712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.608300Z digest=sha256:32f2ec9e95fe5392bb999ccb1b60e145dc54c4a829e2191244fb2bef7b1a3416

Observation 02dba9ec-fea7-4b61-ad5b-70628a66e48c · outbound

This paper cites Assembling existing labels from public datasets to diagnose novel diseases: Covid-19 in late 2019.NeurIPS Workshop on Medical Imaging meets NeurIPS, 2022.

PanTS: The Pancreatic Tumor Segmentation Dataset Assembling existing labels from public datasets to diagnose novel diseases: Covid-19 in late 2019.NeurIPS Workshop on Medical Imaging meets NeurIPS, 2022

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:02:34.647856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:33.705887Z digest=sha256:b9d5d14a58e33d8a3be74de6c00fb090b4604d4fe9ec5a4ac5653c0d9a8f5ca9

Observation 8088d9a1-dd71-4943-ab5f-d63f64f80462 · outbound

This paper cites an unresolved cited work.

PanTS: The Pancreatic Tumor Segmentation Dataset Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:02:38.906064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:02:28.462743Z digest=sha256:79bdc0d0f5348de09de1e2086883e9406396844d70f324361790bc902230b0de

Pith citing papers

Observation 9d352f20-ed82-4e7b-92a6-a2d5fbab5182 · inbound

Learning Segmentation from Radiology Reports cites this paper.

Learning Segmentation from Radiology Reports PanTS: The Pancreatic Tumor Segmentation Dataset

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:30:55.764300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:30:54.810202Z digest=sha256:a89f666d1ac76f9a4f0e1492f627a08c99d3ca1469803cf2d9b2d568a53b77d1

Observation 28d2eb2d-f2b1-4fb8-8e93-76148ec12308 · inbound

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation cites this paper.

Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation PanTS: The Pancreatic Tumor Segmentation Dataset

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T17:33:43.633891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:33:43.633891Z digest=sha256:18c0cb565856ce5f6f5ad4a1cc45640beb0167f24ef28acf05fdd120c97fbdc9