Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.02005.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T19:48:57.403871Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-12T07:58:38.916087Z
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 96203b9b-1725-487a-a8c9-b89831670106 · inbound
Detecting dark matter sub-halos in the Galactic plane with the Cherenkov Telescope Array Observatory cites this paper.
Detecting dark matter sub-halos in the Galactic plane with the Cherenkov Telescope Array Observatory Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:48:57.403871Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5b0e409-843c-48f4-ad50-a43dc8515247 · inbound
Polar coordinate transformations for machine learning based dark matter subhalo detection in strong gravitational lenses cites this paper.
Polar coordinate transformations for machine learning based dark matter subhalo detection in strong gravitational lenses Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-12T07:58:38.918089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.