Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ECoPANN: A Framework for Estimating Cosmological Parameters using Artificial 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:2005.07089.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:21:35.035838Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T20:11:11.750699Z
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 8733480f-4350-4286-8229-6ed6f63f6ed7 · inbound
Learning from galactic rotation curves: a neural network approach cites this paper.
Learning from galactic rotation curves: a neural network approach ECoPANN: A Framework for Estimating Cosmological Parameters using Artificial Neural Networks
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:21:35.035838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ae872f2-5100-4167-9f6a-0428428cf19f · inbound
Testing $\Lambda$CDM with ANN-Reconstructed Expansion History from Cosmic Chronometers cites this paper.
Testing $\Lambda$CDM with ANN-Reconstructed Expansion History from Cosmic Chronometers ECoPANN: A Framework for Estimating Cosmological Parameters using Artificial Neural Networks
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:11:11.753764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 09a2311f-67cf-4b8b-9bca-9467f021053a · 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 ECoPANN: A Framework for Estimating Cosmological Parameters using Artificial Neural Networks
Reference 266
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:46:13.399024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.