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Paper Citation Record · LEDGER

Vector Representations of Vessel Trees

As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 3 inbound Pith citation observations for arXiv:2506.11163.

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

pith.paper-citation-record.v1
2506.11163 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:39:04.168477Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T22:24:37.183447Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T21:03:46.473771Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact6
  • verified fuzzy4
  • unresolved27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcce175b-fb6d-4fcd-b4cf-4c9249300eb0 · outbound

This paper cites Seeing implicit neural representations as fourier series.

Vector Representations of Vessel Trees Seeing implicit neural representations as fourier series

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0c021976-3cec-4f4d-869b-53872131a858 · outbound

This paper cites Generative and Discriminative Voxel Modeling with Convolutional Neural Networks.

Vector Representations of Vessel Trees Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8fdf0916-6734-459b-974b-ec41230851bc · outbound

This paper cites Traj-MAE: Masked Autoencoders for Trajectory Prediction.

Vector Representations of Vessel Trees Traj-MAE: Masked Autoencoders for Trajectory Prediction

Reference 3

Resolution
verified exact
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Source-reported events for the cited work

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Observation 47b24f78-1513-4a18-a9fa-310f1d006d36 · outbound

This paper cites TrajVAE : A variational autoencoder model for trajectory generation.

Vector Representations of Vessel Trees TrajVAE : A variational autoencoder model for trajectory generation

Reference 4

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d1a6c72a-6d84-4a77-a5b9-5330156a5695 · outbound

This paper cites Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings.

Vector Representations of Vessel Trees Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

Reference 5

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Source-reported events for the cited work

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Observation e89f9fff-276b-4924-979e-0a06d3999aa5 · outbound

This paper cites MolGAN: An implicit generative model for small molecular graphs.

Vector Representations of Vessel Trees MolGAN: An implicit generative model for small molecular graphs

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 54f990e4-f45b-4476-a563-0a75a5586fd8 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Vector Representations of Vessel Trees BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 7

Resolution
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Source-reported events for the cited work

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Observation c06c5eec-81bb-4cb8-bb8a-5a2358ae70d2 · outbound

This paper cites VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis.

Vector Representations of Vessel Trees VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis

Reference 8

Resolution
verified exact
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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.

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Observation 8e081bb6-13ef-4361-93a0-e11619b94827 · outbound

This paper cites Local Deep Implicit Functions for 3D Shape.

Vector Representations of Vessel Trees Local Deep Implicit Functions for 3D Shape

Reference 9

Resolution
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Source-reported events for the cited work

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Observation 76121e08-d376-4f28-bc13-f7032f7e56af · outbound

This paper cites Wei, David Duvenaud, Jos \'e Miguel Hern \'a ndez-Lobato, Benjam \'i n S \'a nchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D.

Vector Representations of Vessel Trees Wei, David Duvenaud, Jos \'e Miguel Hern \'a ndez-Lobato, Benjam \'i n S \'a nchez-Lengeling, Dennis Sheberla, Jorge Aguilera-Iparraguirre, Timothy D

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1429fe86-075f-4d74-b053-0c1e74ce9143 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Vector Representations of Vessel Trees Gaussian Error Linear Units (GELUs)

Reference 11

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9ee70f40-043b-4d65-8990-ec4364403462 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Vector Representations of Vessel Trees Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 12

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 06088853-f0c5-407d-9373-ee55492e0825 · outbound

This paper cites Dominant motion identification of multi-particle system using deep learning from video.

Vector Representations of Vessel Trees Dominant motion identification of multi-particle system using deep learning from video

Reference 13

Resolution
verified exact
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Source-reported events for the cited work

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Observation 18e3c063-281f-4ca3-8135-70ecae651664 · outbound

This paper cites Junction Tree Variational Autoencoder for Molecular Graph Generation.

Vector Representations of Vessel Trees Junction Tree Variational Autoencoder for Molecular Graph Generation

Reference 14

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation de1ad24c-c3ec-4e86-842b-411ecc92e6b4 · outbound

This paper cites Poisson surface reconstruction.

Vector Representations of Vessel Trees Poisson surface reconstruction

Reference 15

Resolution
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Source-reported events for the cited work

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Observation d0a4d199-e164-4ba2-9e9b-293afad02bba · outbound

This paper cites Representation learning of 3d meshes using an autoencoder in the spectral domain.

Vector Representations of Vessel Trees Representation learning of 3d meshes using an autoencoder in the spectral domain

Reference 16

Resolution
verified exact
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Source-reported events for the cited work

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Observation f796203a-7adc-41ab-8a74-9a98d48b0e8a · outbound

This paper cites MeshDiffusion: Score-based Generative 3D Mesh Modeling.

Vector Representations of Vessel Trees MeshDiffusion: Score-based Generative 3D Mesh Modeling

Reference 17

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 252198cf-8208-40f4-afac-3c875c3a2b61 · outbound

This paper cites Object-centric learning with slot attention.

Vector Representations of Vessel Trees Object-centric learning with slot attention

Reference 18

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f621a177-af8d-4b14-aa91-844aa5d8e870 · outbound

This paper cites Decoupled Weight Decay Regularization.

Vector Representations of Vessel Trees Decoupled Weight Decay Regularization

Reference 19

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bb0c9967-5c5a-4580-942c-116aee86c45e · outbound

This paper cites GraphiT: Encoding Graph Structure in Transformers.

Vector Representations of Vessel Trees GraphiT: Encoding Graph Structure in Transformers

Reference 20

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f4d128de-a1bd-4303-93fa-0cdf02a28e76 · outbound

This paper cites Deep trajectory clustering with autoencoders.

Vector Representations of Vessel Trees Deep trajectory clustering with autoencoders

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 020cda2b-06ab-4c59-8925-4e816a8d0beb · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Vector Representations of Vessel Trees Pytorch: An imperative style, high-performance deep learning library

Reference 22

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f93ae088-29e0-44dd-9328-153f8e9fe556 · outbound

This paper cites Paetzold, Hongwei Bran Li, and Bjoern Menze.

Vector Representations of Vessel Trees Paetzold, Hongwei Bran Li, and Bjoern Menze

Reference 23

Resolution
verified exact
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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.

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Observation 6c8de7d2-d655-419a-8a68-77df08440736 · outbound

This paper cites Improving language understanding by generative pre-training.

Vector Representations of Vessel Trees Improving language understanding by generative pre-training

Reference 24

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation edd0c314-f27b-405d-9573-6ce61fb76151 · outbound

This paper cites Castro, Nick Pawlowski, and Ben Glocker.

Vector Representations of Vessel Trees Castro, Nick Pawlowski, and Ben Glocker

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 301e842d-895b-40a8-b673-34823423af97 · outbound

This paper cites Tissue metabolism driven arterial tree generation.

Vector Representations of Vessel Trees Tissue metabolism driven arterial tree generation

Reference 26

Resolution
verified exact
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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.

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Observation 0afbbaaf-104a-4d02-92bf-02398c8a8e2c · outbound

This paper cites GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation.

Vector Representations of Vessel Trees GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Reference 27

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d113eab8-a46b-4594-af6d-bf3ac9913064 · outbound

This paper cites MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers.

Vector Representations of Vessel Trees MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers

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 fda92b8d-f91b-41c9-b7ba-a0adf5aa7ce2 · outbound

This paper cites GraphVAE : Towards Generation of Small Graphs Using Variational Autoencoders , pages 412--422.

Vector Representations of Vessel Trees GraphVAE : Towards Generation of Small Graphs Using Variational Autoencoders , pages 412--422

Reference 29

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 00e74e54-6e6d-4948-bc6c-5eb707cb924d · outbound

This paper cites Implicit neural representations with periodic activation functions.

Vector Representations of Vessel Trees Implicit neural representations with periodic activation functions

Reference 30

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 805e0472-83bc-4a26-bc3e-4a73ea3f2fa4 · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimensional domains.

Vector Representations of Vessel Trees Fourier features let networks learn high frequency functions in low dimensional domains

Reference 31

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 286fffe1-2db6-464c-bc83-267c565e487b · outbound

This paper cites Attention is all you need.

Vector Representations of Vessel Trees Attention is all you need

Reference 32

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 49f0ea0a-bb89-4c3e-835a-20f82f8cf2e0 · outbound

This paper cites Graph Attention Networks.

Vector Representations of Vessel Trees Graph Attention Networks

Reference 33

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a519b039-6d9e-4b1e-a62a-dcf67fbc27f1 · outbound

This paper cites Blood Vessel Geometry Synthesis using Generative Adversarial Networks.

Vector Representations of Vessel Trees Blood Vessel Geometry Synthesis using Generative Adversarial Networks

Reference 34

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation db3900ad-e548-462e-b750-b29b465d0732 · outbound

This paper cites Group normalization.

Vector Representations of Vessel Trees Group normalization

Reference 35

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 48cb2092-d268-435c-82e2-45268bd7e0a5 · outbound

This paper cites Intra: 3d intracranial aneurysm dataset for deep learning.

Vector Representations of Vessel Trees Intra: 3d intracranial aneurysm dataset for deep learning

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c16eed19-d438-4d98-8515-e91374bfb513 · outbound

This paper cites A Survey on Deep Graph Generation: Methods and Applications.

Vector Representations of Vessel Trees A Survey on Deep Graph Generation: Methods and Applications

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 0b753e9d-4e5f-49da-b4c6-d1118961de66 · inbound

VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation cites this paper.

VesselTok: Tokenizing Vessel-like 3D Biomedical Graph Representations for Reconstruction and Generation Vector Representations of Vessel Trees

Reference 2

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no resolver link, observed 2026-07-13T22:24:37.183447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:24:37.183447Z digest=sha256:7fad9f19fc7a1105276d1cb61ed2b3c1c44a3787444333cb536f025b0d875418

Observation 8561e092-66b8-4f13-b492-e8172c6c4732 · inbound

Sparse Representation Learning for Vessels cites this paper.

Sparse Representation Learning for Vessels Vector Representations of Vessel Trees

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:15.266977Z

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.

source=pdf_text observed=2026-05-09T15:23:25.114607Z digest=sha256:80a1be463f3ea1017cd8289ce8cf3c54cce0b5adf4f568862c9a76f8a33db839

Observation ff0aad29-edb3-4803-96c5-9087ea250bfe · inbound

SynVA: A Modular Toolkit for Vessel Generation and Aneurysm Editing cites this paper.

SynVA: A Modular Toolkit for Vessel Generation and Aneurysm Editing Vector Representations of Vessel Trees

Reference 5

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verified exact
arxiv_id, observed 2026-05-20T21:03:46.476649Z

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.

source=pdf_text observed=2026-05-20T21:01:50.708962Z digest=sha256:e02b58f18ded6f180931af869a697776c7f9a2fe785c69fad37a4647624b70ab