Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Machine learning-assisted close-set X-ray diffraction phase identification of transition metals
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.15410.
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 2026-08-05T22:03:27.007299Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T21:46:38.153714Z
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 7d038a75-bf42-4fec-9ac4-bdce44108790 · inbound
ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction cites this paper.
ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction Machine learning-assisted close-set X-ray diffraction phase identification of transition metals
Reference 9992
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:03:27.007299Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0c7da78-8551-4caa-b852-cb5b863390de · inbound
DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer cites this paper.
DiffractGPT: Atomic Structure Determination from X-ray Diffraction Patterns using Generative Pre-trained Transformer Machine learning-assisted close-set X-ray diffraction phase identification of transition metals
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T21:46:38.204979Z
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.