Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Uncertainty-aware molecular dynamics from Bayesian active learning for Phase Transformations and Thermal Transport in SiC
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.03824.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:17:35.338140Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:46:28.737034Z
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 3e5c9055-17e1-4037-bf0f-8e05c2444b83 · inbound
Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency cites this paper.
Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency Uncertainty-aware molecular dynamics from Bayesian active learning for Phase Transformations and Thermal Transport in SiC
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:17:35.338140Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ed8c5f7-9388-4ced-8738-a154ea1d8a6f · inbound
Stein Kernelized Molecular Dynamics for Active Learning of Interatomic Potentials cites this paper.
Stein Kernelized Molecular Dynamics for Active Learning of Interatomic Potentials Uncertainty-aware molecular dynamics from Bayesian active learning for Phase Transformations and Thermal Transport in SiC
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:46:28.739379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.