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Paper Citation Record · LEDGER

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes

As of 22 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2501.03830.

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

pith.paper-citation-record.v1
2501.03830 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:50:05.994779Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

21 of 21 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5323a92e-221b-4867-bbb8-61223beb9248 · outbound

This paper cites ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis,.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes ExMeshCNN: An Explainable Convolutional Neural Network Architecture for 3D Shape Analysis,

Reference 1

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Observation 9b432210-fdbf-40d8-a1c6-271dab4f49ed · outbound

This paper cites MeshCNN: A Network with an Edge,.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes MeshCNN: A Network with an Edge,

Reference 3

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source=pdf_text observed=2026-08-10T21:50:05.901657Z digest=sha256:40c96da3e42fa88bb759705f45bf9435df6a12089c347be2add84a4839f9ddb0

Observation 143213eb-83dd-4a50-82cc-751cbc2c3a5e · outbound

This paper cites an unresolved cited work.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes Unresolved cited work

Reference 4

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8b8285e5-b873-4eca-8a61-cc9db592da75 · outbound

This paper cites Subdivision-Based Mesh Convolution Networks,.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes Subdivision-Based Mesh Convolution Networks,

Reference 5

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doi, observed 2026-08-10T21:50:06.181115Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T21:50:05.906190Z digest=sha256:b9c0f8828b1bfce4bb572faf5a69d5e409ab39d63ebd140c00db32c6ca93d35d

Observation a076b4b7-619e-4d04-86ed-f82fd79769c1 · outbound

This paper cites Multi-view Convolutional Neural Networks for 3D Shape Recognition,.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes Multi-view Convolutional Neural Networks for 3D Shape Recognition,

Reference 6

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source=pdf_text observed=2026-08-10T21:50:05.911885Z digest=sha256:cfeaf853a719330885ac7521ebd726a27a7154254a98b9b5e5f89fddaa591c54

Observation 3ef15f8b-d74a-4b69-b6a3-2368d710e424 · outbound

This paper cites DeepPano: Deep Panoramic Representation for 3-D Shape Recognition,.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes DeepPano: Deep Panoramic Representation for 3-D Shape Recognition,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T21:50:05.916740Z digest=sha256:c215c70cba89f1e0a99b03b3296fee5dc10881d985e895ce5cb737c0fc905ad7

Observation 22af03c5-26bf-4123-84de-0225995a7a52 · outbound

This paper cites Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes,.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes,

Reference 10

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source=pdf_text observed=2026-08-10T21:50:05.939510Z digest=sha256:67bad21a110d79cc65f4507ebe7ce14e844eba43d9ba1628b1a0c14120bc1c9f

Observation 00333a20-4df3-4743-b436-6c10fdd3ccbe · outbound

This paper cites Geodesic Convolutional Neural Networks on Riemannian Manifolds,.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes Geodesic Convolutional Neural Networks on Riemannian Manifolds,

Reference 12

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doi, observed 2026-08-10T21:50:06.121062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T21:50:05.950315Z digest=sha256:334f7ac91f675d8b1f5b9afcb79ca3b6a01c07222c5ef2edc1f406e7dd95f714

Observation 038a1796-f895-4389-aaa0-afbb8af8a452 · outbound

This paper cites DiffusionNet: Discretization Agnostic Learning on Surfaces.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes DiffusionNet: Discretization Agnostic Learning on Surfaces

Reference 13

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source=pdf_text observed=2026-08-10T21:50:05.955556Z digest=sha256:0ffe7b4515eb68d4ef10eb1033d2993cd1c4fec0ad59949ab3a6145628d159fb

Observation ab32fa1e-cfc7-4934-b3b4-fabbcbf116bd · outbound

This paper cites Primal-Dual Mesh Convolutional Neural Networks.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes Primal-Dual Mesh Convolutional Neural Networks

Reference 15

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local_arxiv, observed 2026-08-10T21:50:06.076499Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4088f0c3-cf05-4541-809c-1a802bde653a · outbound

This paper cites Face-Based CNN on Triangular Mesh with Arbitrary Connectivity,.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes Face-Based CNN on Triangular Mesh with Arbitrary Connectivity,

Reference 16

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doi, observed 2026-08-10T21:50:06.056447Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 55272df9-73ed-4b33-9397-df9200ca91a3 · outbound

This paper cites MAPS: multiresolution adaptive parameterization of surfaces,.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes MAPS: multiresolution adaptive parameterization of surfaces,

Reference 18

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T21:50:05.979715Z digest=sha256:e65f123113c82bb167ef0eebf9cb1b466bbb071ff6aaa44fa6b6fdad2fa1a6b6

Observation 2c7d7d52-51b2-4a16-978d-38e8304a9b8d · outbound

This paper cites Available: https://dl.acm.org/doi/abs/10.1145/3386569.3392418.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes Available: https://dl.acm.org/doi/abs/10.1145/3386569.3392418

Reference 19

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Observation 85cd0c21-45cb-417d-978c-971b0b9f0333 · outbound

This paper cites 3D ShapeNets: A deep representation for volumetric shapes,.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes 3D ShapeNets: A deep representation for volumetric shapes,

Reference 20

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source=pdf_text observed=2026-08-10T21:50:05.990828Z digest=sha256:2e6e3de989e1582a546a0bf21aa7a8223e26ac7f9f4e1fd83a06967541bed4b0

Observation 12296167-f8c7-4ca1-ba0d-32190bd831f4 · outbound

This paper cites MeshNet: Mesh Neural Network for 3D Shape Representation.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes MeshNet: Mesh Neural Network for 3D Shape Representation

Reference 21

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local_arxiv, observed 2026-08-10T21:50:06.040488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T21:50:05.994779Z digest=sha256:8015744fd016944cf8e441e41911a90cefbc2c8a8af1a00feb6fe94f3e96e50e

Observation cb730018-1d30-4dd0-bd15-c33382dcc0dd · outbound

This paper cites PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Reference 2017

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Observation 37b3e041-6335-4373-b080-088a42ff1692 · outbound

This paper cites HexaConv.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes HexaConv

Reference 2018

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source=pdf_text observed=2026-08-10T21:50:05.943973Z digest=sha256:34a64d43b611299cf48e76b718b8a618823d7853137813d593d4b34f15268775

Observation d611da89-22fd-4b5f-8a47-eba2760c8644 · outbound

This paper cites MeshWalker: Deep Mesh Understanding by Random Walks.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes MeshWalker: Deep Mesh Understanding by Random Walks

Reference 2020

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local_arxiv, observed 2026-08-10T21:50:06.094728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 76e91263-8347-428d-abd0-4b3f201a284d · outbound

This paper cites an unresolved cited work.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes Unresolved cited work

Reference 2022

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doi, observed 2026-08-10T21:50:06.144923Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T21:50:05.928079Z digest=sha256:86e0288d37347a8050ea7515166c52f9e641ba4a8762b0dc875624c109a88520

Observation f6b0d130-ae31-4a67-8de5-64bfdb59d203 · outbound

This paper cites Relation-Shape Convolutional Neural Network for Point Cloud Analysis.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes Relation-Shape Convolutional Neural Network for Point Cloud Analysis

Reference 2023

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local_arxiv, observed 2026-08-10T21:50:06.643806Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T21:50:05.933026Z digest=sha256:d84b2efe06f4df0ae8306ac9d72f0496455a3b56a096f8a89f3bab2643009db3

Observation a31b3ffc-d956-4aec-b657-deaea1d27f5c · outbound

This paper cites Available: https://dl.acm.org/doi/abs/10.1145/3474085.3475468.

MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes Available: https://dl.acm.org/doi/abs/10.1145/3474085.3475468

Reference 2024

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source=pdf_text observed=2026-08-10T21:50:05.975290Z digest=sha256:818a20d3ef3ec10863568d64a6d0ec3f1526ebb567fd6bc15da732dddc657235

Pith citing papers

No inbound Pith citation observations are available.