Paper Citation Record · LEDGER

GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2204.02782.

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

pith.paper-citation-record.v1
2204.02782 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:53:35.034731Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:50:04.650908Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e8b73a42-109e-441d-929e-018f844909de · inbound

Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models cites this paper.

Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-12T18:15:30.358383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcc86521-1ece-4964-8663-2a25313d922e · inbound

Machine Learning Accelerated Descriptor Design for Catalyst Discovery in CO$_2$ to Methanol Conversion cites this paper.

Machine Learning Accelerated Descriptor Design for Catalyst Discovery in CO$_2$ to Methanol Conversion GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T12:47:35.730925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03db4cda-0e18-46a9-ad7e-0d7605a9af06 · inbound

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity cites this paper.

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T16:26:03.476632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb683c5-5946-46fe-80d5-3e948b552855 · inbound

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 GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T13:16:09.016809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb8453b9-19e0-418d-bcdd-d610c18fe4aa · inbound

Towards Faster and More Compact Foundation Models for Molecular Property Prediction cites this paper.

Towards Faster and More Compact Foundation Models for Molecular Property Prediction GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T05:53:35.034731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ea064b2-be5f-4fa4-aa21-aaa08c97df90 · 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 GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:24.275641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c17e7f1-9ced-46be-85c6-c964f34dcd3a · inbound

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 GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T15:57:14.813291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 836a5b5c-93ee-4e3e-8f3f-e798344cce96 · inbound

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 GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T07:36:29.643203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 531a9110-e304-4fc3-ada2-736a12a78d1e · inbound

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 GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:45:59.245119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dd9b8f35-015a-4e35-9473-fd42edbcf707 · inbound

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

Benchmarking Compositional Generalisation for Machine Learning Interatomic Potentials GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:42:04.759039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c70fd56d-ba77-4705-b92c-6c7af03b486e · inbound

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

TSAgent: An Agentic Workflow for Autonomous Transition State Search GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:48:28.835462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4b0256ec-6365-40f7-889d-2c301c31da23 · inbound

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 GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:26:24.179876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f760776-94fc-4005-9f1b-ca39b38bd5de · inbound

ConSolv: Solvent-Conditional Machine Learning Implicit Solvent Potential cites this paper.

ConSolv: Solvent-Conditional Machine Learning Implicit Solvent Potential GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 236

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T18:50:04.652413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d9beb72-3fc1-4d51-9a1a-4ec7e9f7833c · inbound

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations cites this paper.

Implicit Machine Learning Force Fields Accelerate Molecular Dynamics Simulations GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T12:39:55.223589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.