Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Many-Body Coarse-Grained Molecular Dynamics with the Atomic Cluster Expansion
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.04661.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:40:15.791922Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:16:02.155924Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 b0a98431-a1af-433d-8fcc-034a1fbfb36d · inbound
A Study on the Fine-Tuning Performance of Universal Machine-Learned Interatomic Potentials (U-MLIPs) cites this paper.
A Study on the Fine-Tuning Performance of Universal Machine-Learned Interatomic Potentials (U-MLIPs) Many-Body Coarse-Grained Molecular Dynamics with the Atomic Cluster Expansion
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:40:15.791922Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b672d1e6-a225-4d5c-9cdd-cec6fafc17c9 · inbound
Fine-Tuning Universal Machine-Learned Interatomic Potentials: A Tutorial on Methods and Applications cites this paper.
Fine-Tuning Universal Machine-Learned Interatomic Potentials: A Tutorial on Methods and Applications Many-Body Coarse-Grained Molecular Dynamics with the Atomic Cluster Expansion
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:23:13.813772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4030aae-32d6-472b-a384-853e8cb5dabe · inbound
Graph-Coarsening for Machine Learning Coarse-grained Molecular Dynamics cites this paper.
Graph-Coarsening for Machine Learning Coarse-grained Molecular Dynamics Many-Body Coarse-Grained Molecular Dynamics with the Atomic Cluster Expansion
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:16:02.163756Z
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.