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Paper Citation Record · LEDGER

GRASPing Anatomy to Improve Pathology Segmentation

As of 11 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2508.03374.

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

pith.paper-citation-record.v1
2508.03374 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:32:50.474900Z

measured 29 of 29 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

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0390583-328f-49a0-8710-27772e0aa62d · outbound

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

GRASPing Anatomy to Improve Pathology Segmentation MONAI: An open-source framework for deep learning in healthcare

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f1e60a68-fa39-4d6a-84c9-702fb0bae978 · outbound

This paper cites In: Medical Image Computing and Computer-Assisted Intervention--MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 19.

GRASPing Anatomy to Improve Pathology Segmentation In: Medical Image Computing and Computer-Assisted Intervention--MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 19

Reference 2

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verified fuzzy
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Source-reported events for the cited work

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

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Observation a3f4749a-ee99-46a4-a2fc-8237a7d9c7b8 · outbound

This paper cites Ecology 26(3), 297--302 (1945).

GRASPing Anatomy to Improve Pathology Segmentation Ecology 26(3), 297--302 (1945)

Reference 3

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verified fuzzy
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Source-reported events for the cited work

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Observation 9cf51f0e-82f1-4e9a-b2ff-5f3386640c61 · outbound

This paper cites Neurocomputing 616, 128881 (2025).

GRASPing Anatomy to Improve Pathology Segmentation Neurocomputing 616, 128881 (2025)

Reference 4

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 4f2cc49d-ed11-419c-8ab3-8457e1e91910 · outbound

This paper cites an unresolved cited work.

GRASPing Anatomy to Improve Pathology Segmentation Unresolved cited work

Reference 5

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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 8ea61b3d-ceeb-4328-bbd4-5034cb80d0e5 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

GRASPing Anatomy to Improve Pathology Segmentation In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 50ffe24a-c4d8-4827-bcd7-cfcd135d5b1f · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

GRASPing Anatomy to Improve Pathology Segmentation In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 7

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 249e5dbd-d75f-4f78-b218-7cd1df580a9f · outbound

This paper cites Nature methods 18(2), 203--211 (2021).

GRASPing Anatomy to Improve Pathology Segmentation Nature methods 18(2), 203--211 (2021)

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2d3fa86a-c506-4933-beae-8d045fa753b2 · outbound

This paper cites In: 2024 IEEE International Conference on Image Processing (ICIP).

GRASPing Anatomy to Improve Pathology Segmentation In: 2024 IEEE International Conference on Image Processing (ICIP)

Reference 9

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 98cd7b77-e686-4e4e-9470-dedcbe6d521b · outbound

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

GRASPing Anatomy to Improve Pathology Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 10

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 03994c7c-d342-4d98-937d-dba710728b34 · outbound

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

GRASPing Anatomy to Improve Pathology Segmentation In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 11

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Source-reported events for the cited work

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Observation 9a9dd97d-8c37-45f0-9625-85157e9e1e42 · outbound

This paper cites Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT.

GRASPing Anatomy to Improve Pathology Segmentation Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT

Reference 12

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 92eaa4f8-c1f5-40c7-b2fa-d16c31d39155 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022).

GRASPing Anatomy to Improve Pathology Segmentation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)

Reference 13

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cf90b2ed-2307-43f7-a5de-e5bfe546d91b · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

GRASPing Anatomy to Improve Pathology Segmentation SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 14

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unresolved
no resolver link, observed 2026-08-06T04:32:50.432635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b7683669-35a7-40f8-8813-4a96a31791e2 · outbound

This paper cites Decoupled Weight Decay Regularization.

GRASPing Anatomy to Improve Pathology Segmentation Decoupled Weight Decay Regularization

Reference 15

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6dcb35ab-01c5-4b33-8be1-e2e36391bdd2 · outbound

This paper cites IEEE transactions on medical imaging 34(10), 1993--2024 (2014).

GRASPing Anatomy to Improve Pathology Segmentation IEEE transactions on medical imaging 34(10), 1993--2024 (2014)

Reference 16

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verified fuzzy
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Source-reported events for the cited work

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

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Observation c189bca3-5fa9-4900-8041-5ad802670599 · outbound

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

GRASPing Anatomy to Improve Pathology Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

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 2026-08-11T06:34:44.6726+00:00.

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Observation 4b7c1981-5ab2-46b4-a0f3-e09bf77f476a · outbound

This paper cites Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge.

GRASPing Anatomy to Improve Pathology Segmentation Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge

Reference 18

Resolution
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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 2d8e7af4-372a-474c-9abc-7e40975c6349 · outbound

This paper cites In: International MICCAI brainlesion workshop.

GRASPing Anatomy to Improve Pathology Segmentation In: International MICCAI brainlesion workshop

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 126aa370-d664-4ed3-918b-eb15bc97c577 · outbound

This paper cites In: Medical Imaging with Deep Learning.

GRASPing Anatomy to Improve Pathology Segmentation In: Medical Imaging with Deep Learning

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 40b98f43-f9d0-42de-bacb-919acf7e2c1e · outbound

This paper cites Medical image analysis 77, 102336 (2022).

GRASPing Anatomy to Improve Pathology Segmentation Medical image analysis 77, 102336 (2022)

Reference 21

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 9a7dcfb0-acc2-4238-ae36-840c890dcf6b · outbound

This paper cites From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging.

GRASPing Anatomy to Improve Pathology Segmentation From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e969bc61-59a3-4e25-a3e3-19bc63b56208 · outbound

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

GRASPing Anatomy to Improve Pathology Segmentation In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 23

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 53ccddcb-873a-4916-a481-af4ff231e84d · outbound

This paper cites Advances in neural information processing systems 30 (2017).

GRASPing Anatomy to Improve Pathology Segmentation Advances in neural information processing systems 30 (2017)

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0aaeba5b-ef7f-4052-b16f-a338b8ff1345 · outbound

This paper cites Radiology: Artificial Intelligence 5(5), e230024 (2023).

GRASPing Anatomy to Improve Pathology Segmentation Radiology: Artificial Intelligence 5(5), e230024 (2023)

Reference 25

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 9223126d-fef3-4382-a69a-051567a00467 · outbound

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

GRASPing Anatomy to Improve Pathology Segmentation In: Proceedings of the European conference on computer vision (ECCV)

Reference 26

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 50f96934-27d7-473b-b882-aaa6f947b1a5 · outbound

This paper cites AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical Knowledge.

GRASPing Anatomy to Improve Pathology Segmentation AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical Knowledge

Reference 27

Resolution
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local_arxiv, observed 2026-08-06T04:32:50.510612Z

Source-reported events for the cited work

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Observation 1ada56bb-005f-4a11-9c58-f4a58cdfb96b · outbound

This paper cites , " * write output.state after.block = add.period write.

GRASPing Anatomy to Improve Pathology Segmentation , " * write output.state after.block = add.period write

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b51d4469-2f85-40fd-9a8e-f163c8d6c5a0 · outbound

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GRASPing Anatomy to Improve Pathology Segmentation write newline

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.