Paper Citation Record · LEDGER

Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:57:41.868049Z

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

0 of 0 outbound references displayed

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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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

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

Unavailable: canonical work link unavailable.

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.