Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.11173.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:41:16.461219Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T04:56:39.624125Z
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 d6f1235a-aae3-404a-8655-016b9fb8cafd · inbound
Unsupervised Machine Learning for Classifying CHIME Fast Radio Bursts and Investigating Empirical Relations cites this paper.
Unsupervised Machine Learning for Classifying CHIME Fast Radio Bursts and Investigating Empirical Relations Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:41:16.461219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e526cf2b-bb43-4fec-a967-957b8f3bca4f · inbound
Representation learning for fast radio burst dynamic spectra cites this paper.
Representation learning for fast radio burst dynamic spectra Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:10:53.445061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c09f75da-44c7-41df-8f90-379540c5ceb6 · inbound
Model-independent H0 from GWTC-4 standard sirens and TDCOSMO 2025 strong lensing time delays cites this paper.
Model-independent H0 from GWTC-4 standard sirens and TDCOSMO 2025 strong lensing time delays Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning
Reference 107
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T04:56:39.625551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.