Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Uncovering faint lensed gravitational-wave signals and reprioritizing their follow-up analysis using galaxy lensing forecasts with detected counterparts
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.16532.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:36:54.327072Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T16:41:07.454821Z
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 d8263040-4809-4b2e-ab13-aec79d945330 · inbound
Fast and efficient Bayesian method to search for strongly lensed gravitational waves cites this paper.
Fast and efficient Bayesian method to search for strongly lensed gravitational waves Uncovering faint lensed gravitational-wave signals and reprioritizing their follow-up analysis using galaxy lensing forecasts with detected counterparts
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:36:54.327072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5186d9a-1687-4f41-93e6-78f8c6747242 · inbound
gwsnr: A Python package for efficient signal-to-noise ratio calculations of gravitational waves cites this paper.
gwsnr: A Python package for efficient signal-to-noise ratio calculations of gravitational waves Uncovering faint lensed gravitational-wave signals and reprioritizing their follow-up analysis using galaxy lensing forecasts with detected counterparts
Reference 27
- Resolution
- malformed identifier
- local_arxiv, observed 2026-08-11T16:41:07.461662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.