Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CosmicNet II: Emulating extended cosmologies with efficient and accurate neural networks
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2207.05707.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:31:03.602345Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:46:12.228056Z
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 6c857c55-5b0d-4576-b032-f8bb3cd4117d · inbound
Emulating Recombination with Neural Networks using Universal Differential Equations cites this paper.
Emulating Recombination with Neural Networks using Universal Differential Equations CosmicNet II: Emulating extended cosmologies with efficient and accurate neural networks
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:31:03.602345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ca04fbe-d807-4496-aa85-d042cd273fb4 · inbound
Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe cites this paper.
Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe CosmicNet II: Emulating extended cosmologies with efficient and accurate neural networks
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:31:06.070039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 453a9e40-3c46-478b-bee3-b1111876c57b · inbound
Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective cites this paper.
Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective CosmicNet II: Emulating extended cosmologies with efficient and accurate neural networks
Reference 267
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:46:12.234338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.