Paper Citation Record · LEDGER

EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 46 inbound Pith citation observations for arXiv:2306.12059.

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pith.paper-citation-record.v1
2306.12059 v3

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Pith citing papers itemized under the disclosed page cap.

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arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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Pith citing papers

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Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models cites this paper.

Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 20

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Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models cites this paper.

Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 20

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Music102: An $D_{12}$-equivariant transformer for chord progression accompaniment cites this paper.

Music102: An $D_{12}$-equivariant transformer for chord progression accompaniment EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 17

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Global Universal Scaling and Ultra-Small Parameterization in Machine Learning Interatomic Potentials with Super-Linearity cites this paper.

Global Universal Scaling and Ultra-Small Parameterization in Machine Learning Interatomic Potentials with Super-Linearity EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 38

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The Augmented Potential Method: Multiscale Modeling Toward a Spectral Defect Genome cites this paper.

The Augmented Potential Method: Multiscale Modeling Toward a Spectral Defect Genome EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 20

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Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework cites this paper.

Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 6

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Distillation of atomistic foundation models across architectures and chemical domains cites this paper.

Distillation of atomistic foundation models across architectures and chemical domains EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 21

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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning cites this paper.

Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 19

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A Scalable and Quantum-Accurate Foundation Model for Biomolecular Force Field via Linearly Tensorized Quadrangle Attention cites this paper.

A Scalable and Quantum-Accurate Foundation Model for Biomolecular Force Field via Linearly Tensorized Quadrangle Attention EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 42

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Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction cites this paper.

Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 31

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OrbitAll: A Unified Quantum Mechanical Representation Deep Learning Framework for All Molecular Systems cites this paper.

OrbitAll: A Unified Quantum Mechanical Representation Deep Learning Framework for All Molecular Systems EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 50

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Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow cites this paper.

Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 30

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MOFSimBench: Evaluating Universal Machine Learning Interatomic Potentials In Metal--Organic Framework Molecular Modeling cites this paper.

MOFSimBench: Evaluating Universal Machine Learning Interatomic Potentials In Metal--Organic Framework Molecular Modeling EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 13

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Equivariant Volumetric Grasping cites this paper.

Equivariant Volumetric Grasping EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 32

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Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models cites this paper.

Heterogeneous Ensemble Enables a Universal Uncertainty Metric for Atomistic Foundation Models EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 12

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Insights into CO dimerization at electrified Cu interfaces from large-scale machine learning simulations cites this paper.

Insights into CO dimerization at electrified Cu interfaces from large-scale machine learning simulations EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 46

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Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing cites this paper.

Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 41

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Platonic Transformers: A Solid Choice For Equivariance cites this paper.

Platonic Transformers: A Solid Choice For Equivariance EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 34

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OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers cites this paper.

OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 22

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Pushing the limits of unconstrained machine-learned interatomic potentials cites this paper.

Pushing the limits of unconstrained machine-learned interatomic potentials EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 44

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E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory cites this paper.

E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 2023

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Global Plane Waves From Local Gaussians: Periodic Charge Densities in a Blink cites this paper.

Global Plane Waves From Local Gaussians: Periodic Charge Densities in a Blink EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 2020

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From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide Machine Learning Interatomic Potential Architectures cites this paper.

From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide Machine Learning Interatomic Potential Architectures EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 32

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Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Non-Conservative Forces cites this paper.

Faster Molecular Dynamics with Neural Network Potentials via Distilled Multiple Time-Stepping and Non-Conservative Forces EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 56

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UBio-MolFM: A Universal Molecular Foundation Model for Bio-Systems cites this paper.

UBio-MolFM: A Universal Molecular Foundation Model for Bio-Systems EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 42

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Suiren-1.0 Technical Report: A Family of Molecular Foundation Models cites this paper.

Suiren-1.0 Technical Report: A Family of Molecular Foundation Models EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 7

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A Priori Sampling of Transition States with Guided Diffusion cites this paper.

A Priori Sampling of Transition States with Guided Diffusion EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 88

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Benchmarking Chemically Scalable Machine-Learning Interatomic Potentials for Large-Scale Simulations of Multicomponent Alloys cites this paper.

Benchmarking Chemically Scalable Machine-Learning Interatomic Potentials for Large-Scale Simulations of Multicomponent Alloys EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 16

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Knowing when to trust machine-learned interatomic potentials cites this paper.

Knowing when to trust machine-learned interatomic potentials EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 13

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Selectivity- and Activity-Aware Catalyst Descriptors for CO$_2$ Hydrogenation on Alloy Nanocatalysts using Machine-Learned Force Fields cites this paper.

Selectivity- and Activity-Aware Catalyst Descriptors for CO$_2$ Hydrogenation on Alloy Nanocatalysts using Machine-Learned Force Fields EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 92

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Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials cites this paper.

Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 25

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TSAgent: An Agentic Workflow for Autonomous Transition State Search cites this paper.

TSAgent: An Agentic Workflow for Autonomous Transition State Search EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 19

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Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks cites this paper.

Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 22

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Bridging Atomistic Simulation and Experimental Processing Timescales with Goal-Directed Deep Reinforcement Learning cites this paper.

Bridging Atomistic Simulation and Experimental Processing Timescales with Goal-Directed Deep Reinforcement Learning EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 6

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CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials cites this paper.

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 14

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CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials cites this paper.

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 14

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CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials cites this paper.

CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 14

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TriSearch: Learning to Optimize Triangulations via Bistellar Flips cites this paper.

TriSearch: Learning to Optimize Triangulations via Bistellar Flips EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 34

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DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution cites this paper.

DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 199

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EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning cites this paper.

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 218

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Six Open Questions in Machine-Learned Interatomic Potential Foundation Models cites this paper.

Six Open Questions in Machine-Learned Interatomic Potential Foundation Models EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 144

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Toward Controllable Catalyst Inverse Design via Large-Scale Autoregressive Pretraining cites this paper.

Toward Controllable Catalyst Inverse Design via Large-Scale Autoregressive Pretraining EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 10

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REViT: Roto-reflection Equivariant Convolutional Vision Transformer cites this paper.

REViT: Roto-reflection Equivariant Convolutional Vision Transformer EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 6

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High-order tensor neural network for iteration-free structure relaxation cites this paper.

High-order tensor neural network for iteration-free structure relaxation EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 28

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Dyna-Mat: End-to-end benchmarking of foundation machine learning interatomic potentials in finite-temperature ensembles cites this paper.

Dyna-Mat: End-to-end benchmarking of foundation machine learning interatomic potentials in finite-temperature ensembles EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 46

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E3DGS: Unified Geometric-Photometric Equivariance for 3D Gaussian Splatting via Color-as-Geometry Embedding cites this paper.

E3DGS: Unified Geometric-Photometric Equivariance for 3D Gaussian Splatting via Color-as-Geometry Embedding EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T23:11:20.579175Z

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