Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SPECULATOR: Emulating stellar population synthesis for fast and accurate galaxy spectra and photometry
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1911.11778.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T15:17:38.140793Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T06:15:58.412662Z
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 2f29f74a-947b-4a81-a188-61ee904769ae · inbound
Modeling nonlinear scales for dynamical dark energy cosmologies with COLA cites this paper.
Modeling nonlinear scales for dynamical dark energy cosmologies with COLA SPECULATOR: Emulating stellar population synthesis for fast and accurate galaxy spectra and photometry
Reference 130
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T06:15:58.414498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4c3b7f7b-b71b-48f6-8f40-bb48a8e8f6bd · inbound
CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks cites this paper.
CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks SPECULATOR: Emulating stellar population synthesis for fast and accurate galaxy spectra and photometry
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:17:38.140793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a072fe13-f64a-4893-8d49-2269e99f9b84 · inbound
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts cites this paper.
Machine Learning Techniques for Astrophysics and Cosmology: Photometric Redshifts SPECULATOR: Emulating stellar population synthesis for fast and accurate galaxy spectra and photometry
Reference 145
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:06:05.643002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.