Paper Citation Record · LEDGER

Using Artificial Neural Networks to extract the 21-cm Global Signal from the EDGES data

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2012.00028.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2012.00028 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:39:45.795668Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-12T01:18:30.845992Z

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 43a41a4b-bfa4-4ff2-ac40-42b98fcb87c7 · inbound

Multiplex Nodal Modularity: A novel network metric for the regional analysis of amnestic mild cognitive impairment during a working memory binding task cites this paper.

Multiplex Nodal Modularity: A novel network metric for the regional analysis of amnestic mild cognitive impairment during a working memory binding task Using Artificial Neural Networks to extract the 21-cm Global Signal from the EDGES data

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T19:43:58.336509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3b69d01-8529-41d5-8e69-1143184580aa · inbound

In search of an interaction in the dark sector through Gaussian Process and ANN approaches cites this paper.

In search of an interaction in the dark sector through Gaussian Process and ANN approaches Using Artificial Neural Networks to extract the 21-cm Global Signal from the EDGES data

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T23:39:45.795668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e73a783e-a902-4926-aa76-3ab0bce677c0 · 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 Using Artificial Neural Networks to extract the 21-cm Global Signal from the EDGES data

Reference 198

Resolution: verified exact; local_arxiv, observed 2026-07-12T01:18:30.850740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cc94c9d1-bfbe-4cb9-ae67-ebc8f5214116 · inbound

Perceived vertical and eye level as one orientation order parameter: a closed-form account of the Li-Matin rules for egocentric space cites this paper.

Perceived vertical and eye level as one orientation order parameter: a closed-form account of the Li-Matin rules for egocentric space Using Artificial Neural Networks to extract the 21-cm Global Signal from the EDGES data

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T12:08:49.956237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.