Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Uncertainties in Parameters Estimated with Neural Networks: Application to Strong Gravitational Lensing
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1708.08843.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:10:13.898088Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T05:20:01.763278Z
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 4193c4f6-da24-41f8-879a-8aa911975b35 · inbound
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning cites this paper.
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning Uncertainties in Parameters Estimated with Neural Networks: Application to Strong Gravitational Lensing
Reference 117
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:10:13.898088Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfde79c3-fa6c-4bef-895c-ad0785b9fea6 · inbound
Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders cites this paper.
Parameter estimation of microlensed gravitational waves with Conditional Variational Autoencoders Uncertainties in Parameters Estimated with Neural Networks: Application to Strong Gravitational Lensing
Reference 100
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-12T05:20:01.770345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4686b180-976d-4d85-996e-72c9a4103883 · inbound
Line-of-sight shear in SLACS strong lenses II: validation tests with an extended sample cites this paper.
Line-of-sight shear in SLACS strong lenses II: validation tests with an extended sample Uncertainties in Parameters Estimated with Neural Networks: Application to Strong Gravitational Lensing
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:31:03.349994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.