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Paper Citation Record · LEDGER

StructureNet: Hierarchical Graph Networks for 3D Shape Generation

As of 23 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 8 inbound Pith citation observations for arXiv:1908.00575.

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

pith.paper-citation-record.v1
1908.00575 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:53:11.314534Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:27:52.005144Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:11:24.311794Z

Reference resolution

8 of 8 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9692dff-9d6b-4380-8584-2dfb6c1a2cf6 · outbound

This paper cites ACM Transactions on Graphics 36, 4 (2017).

StructureNet: Hierarchical Graph Networks for 3D Shape Generation ACM Transactions on Graphics 36, 4 (2017)

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T15:53:11.300165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:53:11.300165Z digest=sha256:365a28a3df4eb7d6c5b1578d8ac549fc432d9b8c743b29c678a031cf59ad24d5

Observation 3b729eae-e52c-4eab-873a-0af288e82c37 · outbound

This paper cites Graph Attention Networks.

StructureNet: Hierarchical Graph Networks for 3D Shape Generation Graph Attention Networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T15:53:11.309811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:53:11.309811Z digest=sha256:e9cd8bb9776d37903a0bce160c8d582beabd8a7f904b9c243a6e28bf476452e1

Observation 285c0f9f-f862-4772-a88d-c53a4943e271 · outbound

This paper cites Learning Hierarchical Shape Segmentation and Labeling from Online Repositories.

StructureNet: Hierarchical Graph Networks for 3D Shape Generation Learning Hierarchical Shape Segmentation and Labeling from Online Repositories

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T15:53:11.353786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T15:53:11.314534Z digest=sha256:23610cf4213180f8c861b7c63ff98c9b598788466f93f0fcb228e9fd03892122

Observation 05ed82d8-223f-436b-b12c-2f2bc57240c7 · outbound

This paper cites In ACM Transactions on Graphics (TOG), Vol.

StructureNet: Hierarchical Graph Networks for 3D Shape Generation In ACM Transactions on Graphics (TOG), Vol

Reference 2011

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:53:11.603376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T15:53:11.285567Z digest=sha256:1621de7e6b4489db86ca2257fddf75fba0724bb33ba2511f7a91cb87bb25b017

Observation 1b82d101-1d21-43d8-9368-f000fd6e83ce · outbound

This paper cites InAdvances in neural information processing systems.

StructureNet: Hierarchical Graph Networks for 3D Shape Generation InAdvances in neural information processing systems

Reference 2012

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:53:11.566112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T15:53:11.304869Z digest=sha256:568f75dde1d59bc78871490de37352137001d2d600c19e2cda9c2e72f2a639ca

Observation 42591188-7093-4779-8c35-48e57f76eb3d · outbound

This paper cites InProceedings of the IEEE Conference on Computer Vision and Pattern Recognition.

StructureNet: Hierarchical Graph Networks for 3D Shape Generation InProceedings of the IEEE Conference on Computer Vision and Pattern Recognition

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:53:11.578684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T15:53:11.295121Z digest=sha256:b6cfd00059c4e465695d5ae5e5dc9ee477eb08c2cd19d5266e3f325098719004

Observation d0adc0f6-619c-42a8-bd42-5b6a5e7bc700 · outbound

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

StructureNet: Hierarchical Graph Networks for 3D Shape Generation In Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 2018

Resolution
verified exact
doi, observed 2026-08-14T15:53:11.591258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T15:53:11.290200Z digest=sha256:ebfa7241c3f89323c04b27a18d4e39c022ee33190a33f37621f54aed3c84a357

Observation c58e8506-652c-479e-8bd9-ea37e66a3b8a · outbound

This paper cites Proceedings of the IEEE International Conference on Computer Vision (ICCV) (2019).

StructureNet: Hierarchical Graph Networks for 3D Shape Generation Proceedings of the IEEE International Conference on Computer Vision (ICCV) (2019)

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-14T15:53:11.280079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:53:11.280079Z digest=sha256:1c058aaaa47b3dd279aa1bdb59d82d19a21f1d1d6ee23b26a3f8446b1ba7641b

Pith citing papers

Observation 146373da-5dc9-4035-8666-1aca49d50d6e · inbound

Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings cites this paper.

Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings StructureNet: Hierarchical Graph Networks for 3D Shape Generation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-12T22:01:14.735623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T22:01:14.735623Z digest=sha256:206eb25485a6290e329db70f6ccc522de32e57b4ca5ef5e6e1e376c7077bd14d

Observation c5327cbc-a938-41da-a7f0-373941e2b5ed · inbound

MeshArt: Generating Articulated Meshes with Structure-Guided Transformers cites this paper.

MeshArt: Generating Articulated Meshes with Structure-Guided Transformers StructureNet: Hierarchical Graph Networks for 3D Shape Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T14:49:59.857212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:49:59.857212Z digest=sha256:42965df915428187250f047d5eb97e8a5ce437b152cf0f8d0452dd9f5de84462

Observation 1e8d147e-8c97-44cc-a544-437df1d74997 · inbound

Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling cites this paper.

Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling StructureNet: Hierarchical Graph Networks for 3D Shape Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T11:42:03.311407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:42:03.311407Z digest=sha256:39c4f6a706c3670db733fe3b85d8876f30444c2cdf88cf1cf3c3bf9833c08f60

Observation 8e22c264-6876-49d8-865a-cd31223372d7 · inbound

Efficient Sensorimotor Learning for Open-world Robot Manipulation cites this paper.

Efficient Sensorimotor Learning for Open-world Robot Manipulation StructureNet: Hierarchical Graph Networks for 3D Shape Generation

Reference 198

Resolution
unresolved
no resolver link, observed 2026-08-15T23:27:52.005144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:27:52.005144Z digest=sha256:480ce66f53b010d4f88367980672f6fcb942a0eedc4481b63a99c3c673b970c9

Observation c2dd3d9e-6f9a-414c-9465-7f8085cf4d27 · inbound

CAD-Coder:Text-Guided CAD Files Code Generation cites this paper.

CAD-Coder:Text-Guided CAD Files Code Generation StructureNet: Hierarchical Graph Networks for 3D Shape Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:22.315958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:22.315958Z digest=sha256:bc417f9868dcadb5a0739d295d8fe3e668db987044eb50f183eab3d7fd8cf0ec

Observation a5780722-8524-4c7d-81be-c88fd76ad327 · inbound

PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers cites this paper.

PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers StructureNet: Hierarchical Graph Networks for 3D Shape Generation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:01.426934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:01.426934Z digest=sha256:640f34e95c4564ef5ab09df3d8a222a249d4559774f6db989cc4067164106207

Observation 74035bcb-ab6d-41e7-8e58-37874901195e · inbound

SAR2Struct: Extracting 3D Semantic Structural Representation of Aircraft Targets from Single-View SAR Image cites this paper.

SAR2Struct: Extracting 3D Semantic Structural Representation of Aircraft Targets from Single-View SAR Image StructureNet: Hierarchical Graph Networks for 3D Shape Generation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:44.030280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:54:44.030280Z digest=sha256:0980ae334fbec82f2386cd38bc5fa826eb63fb6e7439a36dd36cfa87fa157f9b

Observation 72607895-9633-4a44-a1d3-39b468308525 · inbound

Beyond Spatial Compression: Interface-Centric Generative States for Open-World 3D Structure cites this paper.

Beyond Spatial Compression: Interface-Centric Generative States for Open-World 3D Structure StructureNet: Hierarchical Graph Networks for 3D Shape Generation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:11:24.318723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:31:25.330754Z digest=sha256:a42dfc34d79d2a03356d94a178e54a0ddde9cfe7cce6a7a225f47fb34904ed72