Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Population-level Dark Energy Constraints from Strong Gravitational Lensing using Simulation-Based Inference
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.17292.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T17:36:30.176638Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation bd6acea8-4895-425a-9f97-c1f04e56be1e · inbound
LSST Strong Lensing Systems Dark Matter Sensitivity Analysis with Neural Ratio Estimators cites this paper.
LSST Strong Lensing Systems Dark Matter Sensitivity Analysis with Neural Ratio Estimators Population-level Dark Energy Constraints from Strong Gravitational Lensing using Simulation-Based Inference
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T20:50:49.133151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.