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Paper Citation Record · LEDGER

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes

As of 7 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.05304.

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

pith.paper-citation-record.v1
2507.05304 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:45:53.037876Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

35 of 35 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21379376-be7f-4803-b4ab-9740371f0a9e · outbound

This paper cites A Review of Deep Learning-Powered Mesh Reconstruction Methods.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes A Review of Deep Learning-Powered Mesh Reconstruction Methods

Reference 1

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Observation 6f82fc48-466c-4c35-8ee6-8c7463e0dfb9 · outbound

This paper cites Geoudf: Surface reconstruction from 3d point clouds via geometry-guided distance rep- resentation,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Geoudf: Surface reconstruction from 3d point clouds via geometry-guided distance rep- resentation,

Reference 2

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Observation 6fb8b39c-b58b-4197-8b7c-db56abf504b7 · outbound

This paper cites A survey on Deep Learning Advances on Different 3D Data Representations.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes A survey on Deep Learning Advances on Different 3D Data Representations

Reference 3

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Observation 7fe725d2-b68d-4047-bd5b-4e0fc54f7ba2 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Convolutional neural networks on graphs with fast localized spectral filtering,

Reference 4

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Observation 04de6659-68f9-4904-b627-d370811f3981 · outbound

This paper cites Generating 3d faces using convolutional mesh autoencoders,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Generating 3d faces using convolutional mesh autoencoders,

Reference 5

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Observation a8e11537-dc01-4810-8aac-1c4ba2bd3ca0 · outbound

This paper cites Surface simplification using quadric er- ror metrics,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Surface simplification using quadric er- ror metrics,

Reference 7

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Observation 89b79507-f001-48fd-b6e5-314f755acb8f · outbound

This paper cites Neural 3d morphable models: Spiral convolutional networks for 3d shape representation learning and generation,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Neural 3d morphable models: Spiral convolutional networks for 3d shape representation learning and generation,

Reference 8

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Observation 37ffe757-34e1-468f-94a2-09ab8edcd6f4 · outbound

This paper cites A morphable model for the synthesis of 3d faces,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes A morphable model for the synthesis of 3d faces,

Reference 10

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Observation 4f153908-d309-49f9-a387-be496d63c6e6 · outbound

This paper cites A 3d face model for pose and illumination invariant face recognition,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes A 3d face model for pose and illumination invariant face recognition,

Reference 11

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Observation 8393b3b1-e7ee-4378-8cc5-41349b5192fd · outbound

This paper cites High-fidelity pose and expression normalization for face recognition in the wild,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes High-fidelity pose and expression normalization for face recognition in the wild,

Reference 13

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Observation d7187667-c137-4910-9579-14feaeaa2aa8 · outbound

This paper cites Facewarehouse: A 3d facial expression database for visual computing,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Facewarehouse: A 3d facial expression database for visual computing,

Reference 14

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Observation d7a39bd6-d84b-4a9e-b56d-f8cde8396c92 · outbound

This paper cites Smpl: A skinned multi-person linear model,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Smpl: A skinned multi-person linear model,

Reference 15

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Observation 8617eebc-7803-4472-80da-b870b0193536 · outbound

This paper cites Embodied hands: Modeling and capturing hands and bodies together** supplementary material,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Embodied hands: Modeling and capturing hands and bodies together** supplementary material,

Reference 16

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Observation 5edba28f-9726-4ee0-bede-5efa0b6bd2e8 · outbound

This paper cites Large scale 3d morphable models,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Large scale 3d morphable models,

Reference 17

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verified fuzzy
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Source-reported events for the cited work

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Observation 76c6a1ce-23e8-4a5b-9e42-afd3914f6f70 · outbound

This paper cites Learning a model of facial shape and expression from 4d scans.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Learning a model of facial shape and expression from 4d scans

Reference 18

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Observation ab9d91ff-cc8e-4b87-9baf-b5959e43da2e · outbound

This paper cites Spectral representations for con- volutional neural networks,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Spectral representations for con- volutional neural networks,

Reference 19

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Observation 840a0723-ce17-43f2-ab45-ded5ca58e6db · outbound

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

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Semi-Supervised Classification with Graph Convolutional Networks

Reference 20

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Observation 9c3e0197-11a9-4ffb-b170-6d56dde70460 · outbound

This paper cites 3d face reprentation and reconstruction with multi-scale graph convolutional autoencoders,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes 3d face reprentation and reconstruction with multi-scale graph convolutional autoencoders,

Reference 21

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Observation 64066764-0c5d-4f5b-ad40-c3e02145be5e · outbound

This paper cites Disentangled representation learning for 3d face shape,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Disentangled representation learning for 3d face shape,

Reference 22

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Observation 7f07d914-1622-426c-80d3-6caacac58065 · outbound

This paper cites Learning distribution independent latent representation for 3d face disentanglement,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Learning distribution independent latent representation for 3d face disentanglement,

Reference 23

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Source-reported events for the cited work

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Observation 80801ebc-b0ae-4e6b-b36d-29c3d7d4defc · outbound

This paper cites Inductive representation learning on large graphs,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Inductive representation learning on large graphs,

Reference 24

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Observation e72ed324-4b3b-43d1-9a17-32575805f8bf · outbound

This paper cites Graph Attention Networks.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Graph Attention Networks

Reference 25

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Observation 7cf1ecd9-a396-476f-bdb4-f58d788790f0 · outbound

This paper cites MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit

Reference 26

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Observation e65ec160-aa47-4741-b9ae-746bbde5a20b · outbound

This paper cites Feastnet: Feature-steered graph convolutions for 3d shape analysis,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Feastnet: Feature-steered graph convolutions for 3d shape analysis,

Reference 27

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verified fuzzy
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Source-reported events for the cited work

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Observation 85c3e82e-0f4d-4f17-88bc-23dc36bbfd8c · outbound

This paper cites Spiralnet++: A fast and highly efficient mesh convolution operator,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Spiralnet++: A fast and highly efficient mesh convolution operator,

Reference 28

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Observation a4fd05db-6450-4769-b05b-08687932c29d · outbound

This paper cites Facetunegan: Face autoencoder for convolutional expression transfer using neural generative adversarial networks,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Facetunegan: Face autoencoder for convolutional expression transfer using neural generative adversarial networks,

Reference 29

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Source-reported events for the cited work

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Observation 9f996b49-6ef8-4ee2-af32-191e5e6e4843 · outbound

This paper cites Information bottlenecked variational au- toencoder for disentangled 3d facial expression modelling,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Information bottlenecked variational au- toencoder for disentangled 3d facial expression modelling,

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 90688d48-7f42-44b8-80f9-2bcaaee96bd4 · outbound

This paper cites Robust mesh representation learning via efficient local structure-aware anisotropic convolution,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Robust mesh representation learning via efficient local structure-aware anisotropic convolution,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ca27c7f6-cacf-45a3-8a71-b6c88cb30964 · outbound

This paper cites Adversarial 3d face disentanglement of identity and expression,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Adversarial 3d face disentanglement of identity and expression,

Reference 32

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 50c7f8f1-cd30-4ba4-b84b-08d6a946b285 · outbound

This paper cites Deep learning of curvature features for shape completion,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Deep learning of curvature features for shape completion,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 26cc076a-12d2-4be2-96c5-083062c03a75 · outbound

This paper cites Discrete differential-geometry operators for triangulated 2-manifolds,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Discrete differential-geometry operators for triangulated 2-manifolds,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 72464b67-3c30-4459-88d0-0b372c83061c · outbound

This paper cites Rimeshgnn: A rotation- invariant graph neural network for mesh classification,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Rimeshgnn: A rotation- invariant graph neural network for mesh classification,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.158768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4a4713eb-7693-446c-854c-48b2da878b9f · outbound

This paper cites Face- com: Towards high-fidelity 3d facial shape completion via optimization and inpainting guidance,.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Face- com: Towards high-fidelity 3d facial shape completion via optimization and inpainting guidance,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T19:45:53.146730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:45:53.031203Z digest=sha256:b81701c20023b33ff403639620d063ca0ee297ff734167c88a00eb90a5ef87f4

Observation 7d132147-9268-49c8-9405-343b00fa51b8 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Fast Graph Representation Learning with PyTorch Geometric

Reference 37

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Source-reported events for the cited work

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Observation 51a1ee58-f879-4d6f-af6d-8195fc7ac799 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

Self-Attention Based Multi-Scale Graph Auto-Encoder Network of 3D Meshes Attention U-Net: Learning Where to Look for the Pancreas

Reference 38

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