Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1802.03609.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:48.328695Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T06:57:51.625406Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation f9911377-2bb4-47d7-913f-8087187717ff · inbound
Data challenges as a tool for time-domain astronomy The Strong Gravitational Lens Finding Challenge
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98be94b2-64b0-4e4b-92bc-b85187338ea8 · inbound
Gravitational Lenses in UNIONS and Euclid (GLUE) I: A Search for Strong Gravitational Lenses in UNIONS with Subaru, CFHT, and Pan-STARRS Data The Strong Gravitational Lens Finding Challenge
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a00dba1-63cf-4142-8ff2-81877c1f2a8b · inbound
Strong Lens Discoveries in DESI Legacy Imaging Surveys DR10 with Two Deep Learning Architectures The Strong Gravitational Lens Finding Challenge
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f648c8d9-3c66-4c19-9baa-7ac9d603a3fe · inbound
Uncertainty-Aware Deep Learning for the Ly$\alpha$ Forest: CNN-Based Absorber Detection and Characterization The Strong Gravitational Lens Finding Challenge
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.