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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-18T06:34:40.430872+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:a02000296629e5eb436cf0c9f7d6a8f8341cfb8e0147fcbdb26ab9e65c833609

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:55:14.096870Z digest=sha256:bbbd33aa69b75ec1064fd329d97cac9348c52481c7fd8229c9d87722ebf137d7

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:df426adc7e60add28673aad2672b430f53d00bf5b207c41f7f3be2c82393ac7d

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

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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=sha256:595ba570a03b62a05398c209dba5292a36eb2a5a9af868f5721913da0d5fec0e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:55:14.722892Z digest=sha256:7a8b8303d7040e6be75d5fb02694665539e046f0491d307d76e2365d2e91b49f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:55:14.456890Z digest=sha256:6bf5ad13cf212889878b9ce2c137070ec5396c6594cf21857acfb2ad50131dc7

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=sha256:0e55cc8b54cd2f05819acfe55c5d8bf3d3dc954f768075d994841f8fcedd3e8a

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:a79593bbea65f01909a52af29c47873e8181878ade14d1db6d6ab8c2cdfeeb1f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:55:14.361699Z digest=sha256:4b9b0407c7908bbbc9966a5443e85e1e9f2661da9f184e00b2cdb4b58f33e276

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=sha256:655703f12e0ff5e6fc882924e0f7af11f951ad6674b2d8020b3be323cdddf62f

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=sha256:9ffc91c8e50fb61a6e2593548fe424957c5b2f9828f27afa2155eddd4ec4b9b3

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:f850964ff95480d5999a42e64b61af7f73b16dcca0b057080f78ca61e0580483

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:55:14.545981Z digest=sha256:644ecd319010fc4f4f08952ef98c6d57543cf8a05f2dcb8a52221d240b935392

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:d7f74ee640e89ae740b388c224e1cf7c9f97c55abf4ab7f90eee00b3e49fffc1

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=sha256:5504bebc1829a70b6e959c0cc8024dda616873f78ef510a3ccdc8cb4122549d5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T11:03:59.241935Z digest=sha256:2d206123b3024458a3b1e38279e0139a6d0b7e6eedccae4ddff02ea629869ed4