Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The GCE in a New Light: Disentangling the $\gamma$-ray Sky with Bayesian Graph Convolutional Neural Networks
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.12504.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:59.473683Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T17:26:39.785977Z
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 3ae99944-69f2-4520-9718-727a8fff413c · 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 The GCE in a New Light: Disentangling the $\gamma$-ray Sky with Bayesian Graph Convolutional Neural Networks
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:45:59.473683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8def0946-79c1-4b52-b725-a467ffd618fe · inbound
Testing Viability of Benchmark Dark Matter Models for the Galactic Center Excess cites this paper.
Testing Viability of Benchmark Dark Matter Models for the Galactic Center Excess The GCE in a New Light: Disentangling the $\gamma$-ray Sky with Bayesian Graph Convolutional Neural Networks
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T17:26:39.788013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.