Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Inferring IGM parameters from the redshifted 21-cm Power Spectrum using Artificial Neural Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.03523.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T23:05:15.524631Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-12T01:18:30.400563Z
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 aef52bfd-b2aa-43d6-81d3-06e0ccc64bd0 · inbound
Multi-fidelity emulator for large-scale 21 cm lightcone images: a few-shot transfer learning approach with generative adversarial network cites this paper.
Multi-fidelity emulator for large-scale 21 cm lightcone images: a few-shot transfer learning approach with generative adversarial network Inferring IGM parameters from the redshifted 21-cm Power Spectrum using Artificial Neural Networks
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:05:15.524631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b0f2fa2-27e9-4490-893f-5268e9a42ec3 · inbound
Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery cites this paper.
Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery Inferring IGM parameters from the redshifted 21-cm Power Spectrum using Artificial Neural Networks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:49:01.026920Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8744c69b-8466-488e-b1f1-edd251ce3313 · inbound
Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization cites this paper.
Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization Inferring IGM parameters from the redshifted 21-cm Power Spectrum using Artificial Neural Networks
Reference 88
- Resolution
- verified exact
- local_arxiv, observed 2026-07-12T01:18:30.403011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.