Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Comparison of neural network architectures for feature extraction from binary black hole merger waveforms
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.16668.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T05:30:31.349098Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T15:21:44.878056Z
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 cda9c62f-700a-4074-b64c-3e16939c3d2e · inbound
Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data cites this paper.
Assessment of normalizing flows for parameter estimation on time-frequency representations of gravitational-wave data Comparison of neural network architectures for feature extraction from binary black hole merger waveforms
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T15:21:44.880214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4b9c5c95-8536-423a-a4a5-a97808f541f0 · inbound
Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms cites this paper.
Robustness of Sensitivity Evaluations for Gravitational Wave Detection Algorithms Comparison of neural network architectures for feature extraction from binary black hole merger waveforms
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:30:31.349098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.