Paper Citation Record · LEDGER

Neural Network Reconstruction of Late-Time Cosmology and Null Tests

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2111.11462.

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

pith.paper-citation-record.v1
2111.11462 v2

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:43:16.418600Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:55:44.465245Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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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 cbae3d21-df7c-4647-8654-66307bcacdd8 · inbound

Model-independent calibration of Gamma-Ray Bursts with neural networks cites this paper.

Model-independent calibration of Gamma-Ray Bursts with neural networks Neural Network Reconstruction of Late-Time Cosmology and Null Tests

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:55:44.467671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d935ac5-5a02-4ab1-af2d-0d92b526973f · inbound

Cosmo-Learn: code for learning cosmology using different methods and mock data cites this paper.

Cosmo-Learn: code for learning cosmology using different methods and mock data Neural Network Reconstruction of Late-Time Cosmology and Null Tests

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:16.418600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6710a65-7fe2-4598-b7da-24787f5da4f6 · 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 Neural Network Reconstruction of Late-Time Cosmology and Null Tests

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:11:11.375446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c94e4929-6c0d-4709-bd39-609c3e9cad38 · inbound

Breaking the Dark Sector Degeneracy with Nonparametric Expansion--Growth Reconstruction cites this paper.

Breaking the Dark Sector Degeneracy with Nonparametric Expansion--Growth Reconstruction Neural Network Reconstruction of Late-Time Cosmology and Null Tests

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-14T03:00:21.146194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.