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Paper Citation Record · LEDGER

Neural Network Reconstruction of Late-Time Cosmology and Null Tests

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:39:45.752197Z

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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  • 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 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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T17:55:16.089703Z digest=sha256:9a9c5228a0a52b2abb936be64980ccc3b61adfbce839411199eb29266379b417

Observation b12bf0fd-9e4d-4d97-be63-356a3b6ec6f6 · 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 Neural Network Reconstruction of Late-Time Cosmology and Null Tests

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T23:39:45.752197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:39:45.752197Z digest=sha256:f57eec5f68f0d2f5fda523a9f29fdba95bdb53ec33989a8d9f97c8e05f6c261d

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.

source=pdf_text observed=2026-08-05T14:43:16.418600Z digest=sha256:14130ef8c5d0aec3d90c82e31c4c25f35fe926a397e96e3ce9b1beacf11150a1

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T10:02:44.146079Z digest=sha256:925e78cd2596521eccfe00d1ec5790bc1897d93a715a1b61c1ebb690bb3ea6e5

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.

source=pdf_text observed=2026-07-14T03:00:21.146194Z digest=sha256:be218c4a1d322ead712b724ad22848b295fc269ef1cb806f05da757afd6ff658