Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Multi-fidelity Machine Learning Interatomic Potentials for Charged Point Defects
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2603.05238.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T16:17:26.963678Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T14:06:05.134103Z
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 14479388-5753-44b0-827e-743aef50fd7c · inbound
Accelerating point defect simulations using data-driven and machine learning approaches cites this paper.
Accelerating point defect simulations using data-driven and machine learning approaches Multi-fidelity Machine Learning Interatomic Potentials for Charged Point Defects
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-06-09T02:06:15.299570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 59683666-0ee1-485d-a440-8b70fbd0f349 · inbound
VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python cites this paper.
VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python Multi-fidelity Machine Learning Interatomic Potentials for Charged Point Defects
Reference 115
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T16:17:26.963678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.