Paper Citation Record · LEDGER

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2505.10407.

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

pith.paper-citation-record.v1
2505.10407 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:12:47.365693Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

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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

21 of 21 outbound references displayed

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External citation measurements

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Outbound references

Observation 29fb5f11-4734-4402-b5f8-9128b5ee09c5 · outbound

This paper cites Neurosurgical Review45(1), 1–25 (2022).

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Neurosurgical Review45(1), 1–25 (2022)

Reference 1

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Observation 597a70f4-3d14-42cc-9d79-28bb0053c3d8 · outbound

This paper cites Neurosurgery 82(4), 491–496 (2018).

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Neurosurgery 82(4), 491–496 (2018)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.641462Z

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Observation 1bbf9854-1ef8-4e61-b9c8-6b72ffedd2b8 · outbound

This paper cites Scientific Reports 7(1), 5331 (2017).

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Scientific Reports 7(1), 5331 (2017)

Reference 3

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correction dated 2018-03-28. Source: crossref record 10.1038/s41598-018-23445-9->10.1038/s41598-017-05886-w:correction, observed 2026-07-11T03:00:38.514803+00:00. This notice travels one citation hop only.

Observation 182705f7-da6a-4897-b071-374cbe271c76 · outbound

This paper cites et al.: Prediction of 3D Cardiovascular Hemodynamics Before and After Coronary Artery Bypass Surgery via Deep Learning.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning et al.: Prediction of 3D Cardiovascular Hemodynamics Before and After Coronary Artery Bypass Surgery via Deep Learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.628813Z

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Observation a497f373-2be5-49cb-92d4-85a6235e0938 · outbound

This paper cites Surgical Neurology International 12, 506 (2021).

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Surgical Neurology International 12, 506 (2021)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.617556Z

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Observation fe9accbc-068e-414e-b540-671a91121222 · outbound

This paper cites Frontiers in Bioengineering and Biotechnology12 (2024).

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Frontiers in Bioengineering and Biotechnology12 (2024)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.606106Z

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Observation 69e23cd3-7126-4b64-b08c-1e54f715f1a2 · outbound

This paper cites Building a Synthetic Vascular Model: Evaluation in an Intracranial Aneurysms Detection Scenario.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Building a Synthetic Vascular Model: Evaluation in an Intracranial Aneurysms Detection Scenario

Reference 7

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Observation f0adee77-38a3-4f29-8364-197bb93f3db7 · outbound

This paper cites Aneumo: A Large-Scale Comprehensive Synthetic Dataset of Aneurysm Hemodynamics.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Aneumo: A Large-Scale Comprehensive Synthetic Dataset of Aneurysm Hemodynamics

Reference 8

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Observation 5f3d415e-aabf-455a-82fa-b936a307844f · outbound

This paper cites et al.: Wall Enhancement, Hemodynamics, and Mor- phology in Unruptured Intracranial Aneurysms with High Rupture Risk.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning et al.: Wall Enhancement, Hemodynamics, and Mor- phology in Unruptured Intracranial Aneurysms with High Rupture Risk

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.594153Z

Source-reported events for the cited work

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Observation a9fbc7a0-eef5-460e-930a-d459e3d44c54 · outbound

This paper cites et al.: Association between hemodynamics, morphology, and rupture risk of intracranial aneurysms: a computational fluid modeling study.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning et al.: Association between hemodynamics, morphology, and rupture risk of intracranial aneurysms: a computational fluid modeling study

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.580762Z

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Observation 83bf52f5-22cd-428a-a856-9ac79d552e50 · outbound

This paper cites Journal of Magnetic Resonance Imaging39(1), 120–131 (2014).

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Journal of Magnetic Resonance Imaging39(1), 120–131 (2014)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.566550Z

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Observation e2c1829b-4c9d-4b89-8604-47646d1c3f97 · outbound

This paper cites Frontiers in Physiology12, 733444 (2021).

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Frontiers in Physiology12, 733444 (2021)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.553582Z

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Observation aa17ecfb-b67e-4ad0-b4fc-8a8aa0f037b7 · outbound

This paper cites 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models

Reference 13

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Observation 5f3c3013-bbe8-4c4a-8ba4-9c84b1e6a8b3 · outbound

This paper cites Ap- plied Sciences 12(1), 394 (2022).

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Ap- plied Sciences 12(1), 394 (2022)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.541855Z

Source-reported events for the cited work

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Observation 0966f752-e847-424e-8911-6424ae778688 · outbound

This paper cites In: Advances in Neural Information Processing Systems 36, pp.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning In: Advances in Neural Information Processing Systems 36, pp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.527693Z

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Observation fa4fe461-d62c-4e96-a026-90175a9dbb0e · outbound

This paper cites Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction

Reference 16

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Observation 6710688e-6fa7-440a-8ede-47b1f0e03788 · outbound

This paper cites In: Belyaev, A., Garland, M.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning In: Belyaev, A., Garland, M

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.514969Z

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Observation fb35db12-91d6-4a26-89a2-a3f16c684345 · outbound

This paper cites In: Proceedings of the 26th Annual Con- ference on Computer Graphics and Interactive Techniques (SIGGRAPH ’99), pp.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning In: Proceedings of the 26th Annual Con- ference on Computer Graphics and Interactive Techniques (SIGGRAPH ’99), pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.503297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dac21d57-adc9-458a-891c-eae7a5b41908 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Semi-Supervised Classification with Graph Convolutional Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T21:12:47.357330Z

Source-reported events for the cited work

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Observation 57903c3e-b340-4780-b20e-9fcfa5d319ca · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp.

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.491077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fbcfb6fa-d743-4f95-aa73-648212dd351e · outbound

This paper cites Neurology85(10), 881– 889 (2015).

Two-Stage Generative Model for Intracranial Aneurysm Meshes with Morphological Marker Conditioning Neurology85(10), 881– 889 (2015)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:12:47.480571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.