Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep learning method for identifying mass composition of ultra-high-energy cosmic rays
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2112.02072.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-17T03:27:40.372230Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T03:28:57.735033Z
Reference resolution
0 of 0 outbound references displayed
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- 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 43440f24-8dfc-4cf8-ad6d-8627e744e8fb · inbound
Searching for EeV photons with Telescope Array Surface Detector and neural networks cites this paper.
Searching for EeV photons with Telescope Array Surface Detector and neural networks Deep learning method for identifying mass composition of ultra-high-energy cosmic rays
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:28:57.737881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.