Paper Citation Record · LEDGER

E(n) Equivariant Graph Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2102.09844.

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

pith.paper-citation-record.v1
2102.09844 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:33.908334Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

105
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dad289a8-7cc0-4e94-aa53-c4b458e8d10e · inbound

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges E(n) Equivariant Graph Neural Networks

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:39:29.913190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 12dccf09-136a-4710-9b9d-16a5a36d8265 · inbound

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning cites this paper.

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning E(n) Equivariant Graph Neural Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:33.908334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fc292e0-027e-4b9b-a0dc-cc2fed471040 · inbound

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly cites this paper.

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly E(n) Equivariant Graph Neural Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:24.963128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 336deb52-ac84-4486-8aaf-f5506bf2797f · inbound

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems cites this paper.

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems E(n) Equivariant Graph Neural Networks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:21.502596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b563e966-c6a2-4de1-874c-4bcadba49321 · inbound

Learning Intrinsic Alignments from Local Galaxy Environments cites this paper.

Learning Intrinsic Alignments from Local Galaxy Environments E(n) Equivariant Graph Neural Networks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:43.532158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4296ff3c-f73f-416d-bd79-fa534f829e6c · inbound

GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters cites this paper.

GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters E(n) Equivariant Graph Neural Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:47:28.354545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77108ad5-612f-4ac5-b1a4-a8dfda4be585 · inbound

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 E(n) Equivariant Graph Neural Networks

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:02:31.550062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fa2ebe63-0f27-454b-94b2-ba0512468d1e · inbound

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames cites this paper.

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames E(n) Equivariant Graph Neural Networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T07:22:15.804350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f4c41c9-ab0f-4011-97a4-7b5869851e3c · inbound

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning cites this paper.

Estimating the triaxiality of massive clusters from 2D observables in MillenniumTNG with machine learning E(n) Equivariant Graph Neural Networks

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T04:31:31.233019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e54ea7d-cc93-44c3-abd3-e049d7c8777a · inbound

Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation cites this paper.

Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation E(n) Equivariant Graph Neural Networks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:15:49.413481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 10a496c2-b131-448a-86bd-fc0fb08a571e · inbound

Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics cites this paper.

Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics E(n) Equivariant Graph Neural Networks

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-13T12:05:54.442913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d502efc5-a2d0-4b4b-b166-36a24233c9e5 · inbound

Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation cites this paper.

Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation E(n) Equivariant Graph Neural Networks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:20:54.743343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3e24fd6-ee0b-458f-ad9a-95d4511b4e43 · inbound

PiGGO: Physics-Guided Learnable Graph Kalman Filters for Virtual Sensing of Nonlinear Dynamic Structures under Uncertainty cites this paper.

PiGGO: Physics-Guided Learnable Graph Kalman Filters for Virtual Sensing of Nonlinear Dynamic Structures under Uncertainty E(n) Equivariant Graph Neural Networks

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:16:27.913486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d16bb78d-1216-4daa-af58-8274f60d5a3a · inbound

Graph Neural Network Predictions of Carbon 1s Binding Energies with Near-Experimental Accuracy cites this paper.

Graph Neural Network Predictions of Carbon 1s Binding Energies with Near-Experimental Accuracy E(n) Equivariant Graph Neural Networks

Reference 1970

Resolution: unresolved; no resolver link, observed 2026-08-04T05:24:39.469805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4421079e-66ed-4273-b03d-7a9e83612b56 · inbound

Galactic Amnesia: The Information Washout of the Milky Way Merger History cites this paper.

Galactic Amnesia: The Information Washout of the Milky Way Merger History E(n) Equivariant Graph Neural Networks

Reference 157

Resolution: metadata mismatch; arxiv_id, observed 2026-05-08T18:23:55.960823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2b6e363f-5a40-4817-9550-5bf3d5cd2b94 · inbound

Machine Learning Interatomic Potentials: Advancing Open-Source Software for Efficient and Scalable Molecular Simulation cites this paper.

Machine Learning Interatomic Potentials: Advancing Open-Source Software for Efficient and Scalable Molecular Simulation E(n) Equivariant Graph Neural Networks

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-22T03:34:34.260475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d4a59db-438d-4108-83b4-97ec45eb9f27 · inbound

Scalable Inference-Time Annealing with Surrogate Likelihood Estimators cites this paper.

Scalable Inference-Time Annealing with Surrogate Likelihood Estimators E(n) Equivariant Graph Neural Networks

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:16:00.696386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f43e3eca-16cd-4148-b6a5-f89311a9a5a2 · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems E(n) Equivariant Graph Neural Networks

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:37:29.967590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 75ccbc86-c0f3-44f5-9d55-9c3cfb9e62ca · inbound

Loss-Guided Adaptive Scale Refinement for Molecular Force Prediction cites this paper.

Loss-Guided Adaptive Scale Refinement for Molecular Force Prediction E(n) Equivariant Graph Neural Networks

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:57:30.039687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66446bbf-431a-4d4c-be33-79739da355e6 · inbound

Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening cites this paper.

Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening E(n) Equivariant Graph Neural Networks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T02:09:22.466916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d72a3507-2a2b-4a79-8763-f37d09c1996d · inbound

MMGNN: Multi-level, multi-color graph neural networks for molecular property prediction cites this paper.

MMGNN: Multi-level, multi-color graph neural networks for molecular property prediction E(n) Equivariant Graph Neural Networks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-26T18:09:41.096842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6057b556-7f0e-4ea9-ac26-164f621e15f9 · inbound

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ cites this paper.

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ E(n) Equivariant Graph Neural Networks

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:03:56.454174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cde44294-57cf-4cc8-95fc-590cffdc33c5 · inbound

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ cites this paper.

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ E(n) Equivariant Graph Neural Networks

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:04:36.093476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.