Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2103.11068.
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 2026-08-16T00:45:59.638993Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-16T00:45:59.764652Z
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 3b9f3e3e-fdec-4081-84b5-3100d5e07539 · inbound
A robust neural determination of the source-count distribution of the Fermi-LAT sky at high latitudes cites this paper.
A robust neural determination of the source-count distribution of the Fermi-LAT sky at high latitudes Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge
Reference 96
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T00:45:59.771369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.