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Paper Citation Record · LEDGER

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2505.21572.

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

pith.paper-citation-record.v1
2505.21572 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:55:14.722892Z

measured 16 of 16 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T11:03:59.241935Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:16:26.940591Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd2e24cd-e201-49fe-b06f-a8de75f0cfa9 · outbound

This paper cites On the Bottleneck of Graph Neural Networks and its Practical Implications.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks On the Bottleneck of Graph Neural Networks and its Practical Implications

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:54:54.295067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:54:54.295067Z digest=sha256:abce5d970bf52907366e37c54e305a5d8337d7e482cf2c33b619e678ea8a710d

Observation dfb60e27-a88d-4856-9d67-258d4651c20c · outbound

This paper cites and Ji, S.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks and Ji, S

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:55:15.620092Z

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=2026-08-07T13:55:14.096870Z digest=sha256:2b34b3829143f7121ccfc32e239949cf38d86b4a054f97080436a3e6ebeacf93

Observation 18e54b99-75bd-40a1-9cba-9597df94f782 · outbound

This paper cites Directional Message Passing for Molecular Graphs.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Directional Message Passing for Molecular Graphs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:14.117726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:14.117726Z digest=sha256:9bbfcc934c35294d91dbbde76d9976104ef8948df5789973a1c148d82f5217de

Observation c4529a0d-fe5c-4bba-b795-aeb200704ebc · outbound

This paper cites Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:14.216935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:14.216935Z digest=sha256:51ac38348c9eaf7e043391fcc8b6e6ec3fca6290693bdb60c6a1817d9d4212d8

Observation 79c2418f-06d0-42dc-af94-d058e9fa2f8e · outbound

This paper cites #MGN + 𝐱!.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks #MGN + 𝐱!

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:55:15.084076Z

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=2026-08-07T13:55:14.722892Z digest=sha256:148a6476d9a1c30bdc34310c1924b13efc74a469fe7ad73faa0bda3bd6f1453e

Observation d1e839ea-44a3-4c32-8e79-8398baae8f48 · outbound

This paper cites Constraint-based graph network simulator.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Constraint-based graph network simulator

Reference 1991

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:55:14.910092Z

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=2026-08-07T13:55:14.456890Z digest=sha256:126447e435b71abc5079b79f89b20e807d2ddbf5138490c6cd61001ea149a55c

Observation 1e00c4c1-9471-4bbd-bc1b-7b09a9e7bf90 · outbound

This paper cites Learning Mesh-Based Simulation with Graph Networks.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Learning Mesh-Based Simulation with Graph Networks

Reference 2007

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:14.310160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:14.310160Z digest=sha256:3d784c53512ab5e989ea00de2795ca8e43258493a13df952b27c9e96aaca9551

Observation 062f560d-7f5d-4403-9ded-6983a916c2f2 · outbound

This paper cites Predicting Physics in Mesh-reduced Space with Temporal Attention.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Predicting Physics in Mesh-reduced Space with Temporal Attention

Reference 2008

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:14.179201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:14.179201Z digest=sha256:d2f4682aa91536d0a86b8c8517b677b7148d39770685ce0ad0d9b2d528527847

Observation c0c42a55-4e23-4440-b63a-05cd2884aef5 · outbound

This paper cites Generalized beam theory applied to shear stiff- ness.International Journal of Solids and Structures, 27 (15):1955–1967,.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Generalized beam theory applied to shear stiff- ness.International Journal of Solids and Structures, 27 (15):1955–1967,

Reference 2010

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:55:15.456923Z

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=2026-08-07T13:55:14.361699Z digest=sha256:487751bcc80177aec1b9b841a0cfe45972a369a6a340d89c7aa47849cc283325

Observation f0e9628e-5869-47d2-a823-57a466e10bc5 · outbound

This paper cites Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:14.634627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:14.634627Z digest=sha256:7e923e1101d51548505bf62856ca06eaa271e0af1566e8465847fb63da9a0f14

Observation 54767418-5bdb-42e1-a3f8-10958697ae68 · outbound

This paper cites MultiScale MeshGraphNets.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks MultiScale MeshGraphNets

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:14.086536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:14.086536Z digest=sha256:249c3139eaf075c01c8b7466c998735764aaf3a76eebcf498fe03c8fb8bfb31d

Observation 9aadd09e-6f7d-4786-a440-098499327eb9 · outbound

This paper cites Neural operator: Graph kernel network for partial differential equations.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Neural operator: Graph kernel network for partial differential equations

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:14.041524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:14.041524Z digest=sha256:f61dd8fab7ab2ff98590a64ccd41752d3a1f3a8d7466cebaf16f2a4c17920f6d

Observation a6039033-ad37-4fbc-9cd1-8bdc0ff94f4e · outbound

This paper cites an unresolved cited work.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:55:15.276484Z

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=2026-08-07T13:55:14.545981Z digest=sha256:7176a1f67672ff9e4f08627f3e33081e63dd8650af964c3fdc82599a0cc86e2e

Observation bc5545c0-a889-4842-9592-6b9fb88dc5d3 · outbound

This paper cites Geometric and Physical Quantities Improve E(3) Equivariant Message Passing.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Geometric and Physical Quantities Improve E(3) Equivariant Message Passing

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:14.060146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:14.060146Z digest=sha256:20416ae0bc597ac868d6c3fe0696c0436ff7c3d10dd7b69018057d31e3e3edcc

Observation d6434c56-a960-4f65-85d5-f43e4b84c175 · outbound

This paper cites Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:14.277231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:14.277231Z digest=sha256:9fba187284a670464dd6f6395e4310a6531a8c9c8cb3c47a5b7e52361d12af2e

Pith citing papers

Observation 2ccbc47e-e68f-4616-bd39-728d6a7432c1 · inbound

EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs cites this paper.

EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:16:26.942014Z

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=arxiv_source observed=2026-06-28T11:03:59.241935Z digest=sha256:1d4bc98d0ee53d0521b16179fcce99af48bf8df19c8082ae696175734ac256b7