Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:31:23.744132Z
Paper Citation Record · LEDGER
Parametric shape models for vessels learned from segmentations via differentiable voxelization
As of 14 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.02576.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
21 of 21 outbound references displayed
- verified exact0
- verified fuzzy18
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3bb359ab-d28d-4545-983e-371cf7e5de91 · outbound
This paper cites In: Inter- national Conference on Functional Imaging and Modeling of the Heart (2023).
Parametric shape models for vessels learned from segmentations via differentiable voxelization In: Inter- national Conference on Functional Imaging and Modeling of the Heart (2023)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:26.550693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0fd2a4c5-5ca3-45c3-af73-6fa8bff8abd7 · outbound
This paper cites Computers in Biology and Medicine 182, 109162 (2024).
Parametric shape models for vessels learned from segmentations via differentiable voxelization Computers in Biology and Medicine 182, 109162 (2024)
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:26.344947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 383615b8-0dd9-4214-9e29-e545988a65f8 · outbound
This paper cites Radiology: Artificial Intelligence (2022).
Parametric shape models for vessels learned from segmentations via differentiable voxelization Radiology: Artificial Intelligence (2022)
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:26.137435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1667d924-fe57-4b44-8f83-cba9737ce31d · outbound
This paper cites Advances in Neural Information Processing Systems (2024).
Parametric shape models for vessels learned from segmentations via differentiable voxelization Advances in Neural Information Processing Systems (2024)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:25.898366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 04f74ec5-0415-4707-b852-ff839211f3a1 · outbound
This paper cites BMC bioinformatics (2021).
Parametric shape models for vessels learned from segmentations via differentiable voxelization BMC bioinformatics (2021)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:25.718844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 68e3c429-8749-4de2-844c-8f8f00974c28 · outbound
This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.
Parametric shape models for vessels learned from segmentations via differentiable voxelization In: Proceedings of the IEEE/CVF international conference on computer vision
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:25.554343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a383becc-c8d8-4ab8-8960-a9d8793de8f4 · outbound
This paper cites Web site: http://www.
Parametric shape models for vessels learned from segmentations via differentiable voxelization Web site: http://www
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:25.405277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2b41cdc4-cd62-4fa7-901e-ad1fda21e0f5 · outbound
This paper cites Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge.
Parametric shape models for vessels learned from segmentations via differentiable voxelization Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:31:22.547758Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd1ac0ad-72a7-4788-84bd-e793754168cb · outbound
This paper cites In: International Conference on Medical Image Computing and Computer- Assisted Intervention (2024).
Parametric shape models for vessels learned from segmentations via differentiable voxelization In: International Conference on Medical Image Computing and Computer- Assisted Intervention (2024)
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:25.285786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d07758df-4f3e-40ca-9b68-209a5ad92c35 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022).
Parametric shape models for vessels learned from segmentations via differentiable voxelization In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:25.195867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bab4293b-951c-4e44-bc8a-6dadf54ba6e8 · outbound
This paper cites In: Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH (1987).
Parametric shape models for vessels learned from segmentations via differentiable voxelization In: Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH (1987)
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:25.023577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a7cbf194-f6a7-458c-8294-f3161daf9b16 · outbound
This paper cites IEEE transactions on medical imaging (2023).
Parametric shape models for vessels learned from segmentations via differentiable voxelization IEEE transactions on medical imaging (2023)
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:24.858364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0274a5b3-93d6-4996-8d2b-aa6a5eeed1c4 · outbound
This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2023) Parametric shape models for vessels 15.
Parametric shape models for vessels learned from segmentations via differentiable voxelization In: Proceedings of the IEEE/CVF International Conference on Computer Vision (2023) Parametric shape models for vessels 15
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:24.727217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5132cd80-2336-4d81-86bc-421ca800d140 · outbound
This paper cites European Journal of Cardio-Thoracic Surgery (2016).
Parametric shape models for vessels learned from segmentations via differentiable voxelization European Journal of Cardio-Thoracic Surgery (2016)
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:24.609906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b4116d7b-efc1-4966-a6a2-677a6ccddffe · outbound
This paper cites In: Interna- tional Conference on Medical Image Computing and Computer-Assisted Interven- tion (2023).
Parametric shape models for vessels learned from segmentations via differentiable voxelization In: Interna- tional Conference on Medical Image Computing and Computer-Assisted Interven- tion (2023)
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:24.475377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f7d2e75a-b107-4230-9942-effba5917916 · outbound
This paper cites Elsevier (2000).
Parametric shape models for vessels learned from segmentations via differentiable voxelization Elsevier (2000)
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:24.346983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 191c1a52-3db3-4407-b63f-9f7a18605c6d · outbound
This paper cites ACM transactions on graphics (TOG) (2010).
Parametric shape models for vessels learned from segmentations via differentiable voxelization ACM transactions on graphics (TOG) (2010)
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:24.236407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4943c848-947b-41b9-ac69-a92a86339eab · outbound
This paper cites Advances in neural information processing systems 33, 7462–7473 (2020).
Parametric shape models for vessels learned from segmentations via differentiable voxelization Advances in neural information processing systems 33, 7462–7473 (2020)
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:31:23.464487Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54e29239-d5f9-40f2-be10-339ce2ea91db · outbound
This paper cites In: Medical Imaging 2022: Computer-Aided Diagnosis.
Parametric shape models for vessels learned from segmentations via differentiable voxelization In: Medical Imaging 2022: Computer-Aided Diagnosis
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:24.092490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4fed06b1-74e5-4811-a049-a5b9fa68bcd5 · outbound
This paper cites PeerJ 2, e453 (2014).
Parametric shape models for vessels learned from segmentations via differentiable voxelization PeerJ 2, e453 (2014)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:31:23.896649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5743dfd6-61a0-4d8e-a7d5-7b509747bfbe · outbound
This paper cites The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography.
Parametric shape models for vessels learned from segmentations via differentiable voxelization The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:31:23.744132Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.