Paper Citation Record · LEDGER

Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2403.09549.

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

pith.paper-citation-record.v1
2403.09549 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:31:33.257951Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:58:19.956123Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7c5ed126-43b3-4644-96c7-6682fd64189a · inbound

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

Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:42:26.292994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 30a3e3e5-475b-49ca-90eb-3650596f546a · inbound

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

Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:58:19.959233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2fb2a184-4954-460d-9ff0-53858d61b371 · inbound

Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys cites this paper.

Universal machine learning interatomic potentials poised to supplant DFT in modeling general defects in metals and random alloys Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T04:31:33.257951Z

Source-reported events for the cited work

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Observation 5dbce273-513d-43ad-921a-d573615f52ab · inbound

Energy & Force Regression on DFT Trajectories is Not Enough for Universal Machine Learning Interatomic Potentials cites this paper.

Energy & Force Regression on DFT Trajectories is Not Enough for Universal Machine Learning Interatomic Potentials Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-09T04:14:42.076561Z

Source-reported events for the cited work

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Observation 730cd1a6-87ca-4ce4-a83b-1961e5bd8516 · inbound

Universal Machine Learning Interatomic Potentials are Ready for Solid Ion Conductors cites this paper.

Universal Machine Learning Interatomic Potentials are Ready for Solid Ion Conductors Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T19:56:13.094722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb855dfb-16e8-481c-bd41-73033ec07956 · inbound

A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic Potentials cites this paper.

A Benchmark for Quantum Chemistry Relaxations via Machine Learning Interatomic Potentials Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:57:41.868049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f437c97-64dd-44f1-b511-173605b31fb8 · inbound

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 Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:31.215225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42d8fad4-06dc-47c1-8d2c-e8120047a072 · inbound

Universal Machine Learning Potentials under Pressure cites this paper.

Universal Machine Learning Potentials under Pressure Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T16:48:25.816850Z

Source-reported events for the cited work

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Observation 791f5613-fc84-4be3-8bb0-39a29e766d97 · inbound

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 Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T04:29:10.387536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Edge Cluster Expansion with Radial Rotary Attention for Interatomic Potentials cites this paper.

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

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T10:08:16.536665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.