Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A representation learning approach to probe for dynamical dark energy in matter power spectra
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.10717.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T20:33:58.099163Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T04:45:24.580638Z
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 a3192c34-1d20-490d-ac11-36eb4717a0d8 · inbound
Interpretability of deep-learning methods applied to large-scale structure surveys cites this paper.
Interpretability of deep-learning methods applied to large-scale structure surveys A representation learning approach to probe for dynamical dark energy in matter power spectra
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:45:24.583641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8f12619a-2337-4d65-92f7-595e5cab5084 · inbound
$\Lambda$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum cites this paper.
$\Lambda$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum A representation learning approach to probe for dynamical dark energy in matter power spectra
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:33:58.099163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.