Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Investigations of the Systematic Uncertainties in Convolutional Neural Network Based Analysis of Atmospheric Cherenkov Telescope Data
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.05315.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:50:28.099604Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T20:25:46.721842Z
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 cd76cbe5-165c-4d36-8d6d-1d08a47fed19 · inbound
Improvements to monoscopic analysis for imaging atmospheric Cherenkov telescopes: Application to H.E.S.S cites this paper.
Improvements to monoscopic analysis for imaging atmospheric Cherenkov telescopes: Application to H.E.S.S Investigations of the Systematic Uncertainties in Convolutional Neural Network Based Analysis of Atmospheric Cherenkov Telescope Data
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:25:46.728538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 34b375e7-03d1-47f3-a693-35fdd503e7df · inbound
Unsupervised Domain Adaptation for Multitask Image Analysis in Realistic Context with Extreme Label Shift; Application to the CTAO first Large Sized Telescope cites this paper.
Unsupervised Domain Adaptation for Multitask Image Analysis in Realistic Context with Extreme Label Shift; Application to the CTAO first Large Sized Telescope Investigations of the Systematic Uncertainties in Convolutional Neural Network Based Analysis of Atmospheric Cherenkov Telescope Data
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:50:28.099604Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.