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Paper Citation Record · LEDGER

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials

As of 17 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.10664.

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

pith.paper-citation-record.v1
2607.10664 v1

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measured 22 of 22 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-14T10:08:16.536665Z

measured 22 of 22 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

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22 of 22 outbound references displayed

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Outbound references

Observation 9dfdbf89-c6a3-428c-9f1a-4745021eca00 · outbound

This paper cites M., Dzamba, M., Gao, M., Rizvi, A., Uyttendaele, M., Zit- nick, C.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials M., Dzamba, M., Gao, M., Rizvi, A., Uyttendaele, M., Zit- nick, C

Reference 1

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Observation 9cfeb5bd-7d00-421c-999d-346bc6750469 · outbound

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

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Pushing the limits of unconstrained machine-learned interatomic potentials

Reference 2

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Observation c3097bfc-8f41-4a7e-a701-67deee5304a8 · outbound

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

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Dyna-Mat: End-to-end benchmarking of foundation machine learning interatomic potentials in finite-temperature ensembles

Reference 3

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Observation 2b7d141d-2b95-4422-b158-a35dada7934e · outbound

This paper cites Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials

Reference 4

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Observation 1507ecfe-5015-4830-b815-c739aa4c87d4 · outbound

This paper cites Integral Formulas for Vector Signal Tensor Products.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Integral Formulas for Vector Signal Tensor Products

Reference 5

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Observation 9f1c8ef8-3c1c-4b68-9139-2acf38c3c780 · outbound

This paper cites Deep Networks with Stochastic Depth.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Deep Networks with Stochastic Depth

Reference 6

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Observation 9f85a526-7a59-4a34-bfdc-68475d7eba83 · outbound

This paper cites Mixtral of Experts.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Mixtral of Experts

Reference 7

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Observation 70eecb8b-0962-412c-b9d2-4ae12fc064ce · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Adam: A Method for Stochastic Optimization

Reference 8

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Observation 3b919622-68d3-457a-93fa-d5dd9bf7a269 · outbound

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

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials DPA4: Pushing the Accuracy-Cost Frontier of Interatomic Potentials with EMFA SO(2) Convolution

Reference 9

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Observation d0b0b67e-6e6f-4929-b8f0-581cfec6e8f0 · outbound

This paper cites Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 10

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Observation a6e07987-09cf-4d08-934a-18fa4f607391 · outbound

This paper cites Muon is Scalable for LLM Training.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Muon is Scalable for LLM Training

Reference 11

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Observation 94eeba8c-ad71-4f8a-8219-8a9e05f9a4b8 · outbound

This paper cites Decoupled Weight Decay Regularization.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Decoupled Weight Decay Regularization

Reference 12

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Observation 967b4c86-64a5-497d-8854-7c6ae2b18727 · outbound

This paper cites Orb-v3: atomistic simulation at scale.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Orb-v3: atomistic simulation at scale

Reference 13

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Observation a8063359-3ee4-4dcf-8452-9409b33e0bfa · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 14

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Observation 51bf5e7c-f5c8-4c0b-a94b-7219fe632b67 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 15

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Observation 6ff016c5-aaec-45d4-b813-024692f0335c · outbound

This paper cites E3x: $\mathrm{E}(3)$-Equivariant Deep Learning Made Easy.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials E3x: $\mathrm{E}(3)$-Equivariant Deep Learning Made Easy

Reference 16

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Observation 1f05155e-d730-4691-adc9-6a120d03dbca · outbound

This paper cites SOAP: Improving and Stabilizing Shampoo using Adam.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials SOAP: Improving and Stabilizing Shampoo using Adam

Reference 17

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Observation 4e5a4c1e-4304-4f6e-af0b-c19ad6a9d03b · outbound

This paper cites 15 Weiler, M., Geiger, M., Welling, M., Boomsma, W., and Cohen, T.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials 15 Weiler, M., Geiger, M., Welling, M., Boomsma, W., and Cohen, T

Reference 18

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Observation 1631d051-68dc-4dfa-90da-a363b6bd4808 · outbound

This paper cites Xie, Y ., Daigavane, A., Kotak, M., and Smidt, T.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Xie, Y ., Daigavane, A., Kotak, M., and Smidt, T

Reference 19

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Observation 4244b200-4eca-406e-8b07-2cb612e1c19c · outbound

This paper cites org/abs/2602.21466.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials org/abs/2602.21466

Reference 20

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Observation 35539eaf-667e-4e50-a724-9a9c27c84496 · outbound

This paper cites Training Details All TECE models were trained in torch.float32 precision using 32 NVIDIA H20 GPUs.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials Training Details All TECE models were trained in torch.float32 precision using 32 NVIDIA H20 GPUs

Reference 21

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Observation 9a4ddf88-a947-4ac9-be67-115b6be9d8fd · outbound

This paper cites DeNS was mainly used with the direct model to accelerate convergence, rather than to improve the final accuracy.

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials DeNS was mainly used with the direct model to accelerate convergence, rather than to improve the final accuracy

Reference 22

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