Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Study of residual artificial neural network for particle identification in the CEPC high-granularity calorimeter prototype
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.09489.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T14:12:04.956176Z
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 4d0355f3-8651-4858-998a-b85abe4e9e93 · inbound
Deep-learning jet flavor tagging for precision hadronic Higgs measurements at future $e^+e^-$ Higgs factories cites this paper.
Deep-learning jet flavor tagging for precision hadronic Higgs measurements at future $e^+e^-$ Higgs factories Study of residual artificial neural network for particle identification in the CEPC high-granularity calorimeter prototype
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:12:04.956176Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f98372e-d022-43c0-a648-7b7103a38132 · inbound
Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning cites this paper.
Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Study of residual artificial neural network for particle identification in the CEPC high-granularity calorimeter prototype
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T06:47:59.784396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.