Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding Molecular Abundances in Star-Forming Regions Using Interpretable Machine Learning
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2309.06784.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T00:39:06.440428Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 7be597b2-cddb-4507-a373-e16b707fd92f · inbound
End-to-end differentiable retrieval of molecular spectra using hydrodynamics, chemistry, and radiative transfer cites this paper.
End-to-end differentiable retrieval of molecular spectra using hydrodynamics, chemistry, and radiative transfer Understanding Molecular Abundances in Star-Forming Regions Using Interpretable Machine Learning
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:39:06.440428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.