Paper Citation Record · LEDGER

Neural Network Reconstruction of $H'(z)$ and its application in Teleparallel Gravity

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2209.01113.

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

pith.paper-citation-record.v1
2209.01113 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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:39:45.771762Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:55:44.529112Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
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 5413b20b-7e51-4ebd-9619-6004101e35c4 · 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 $H'(z)$ and its application in Teleparallel Gravity

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:55:44.531470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 500681f8-87b4-49c1-bbbc-5cc50bdec407 · 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 $H'(z)$ and its application in Teleparallel Gravity

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T23:39:45.771762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1e31af2-198e-4ba6-a20a-7b85dd88446f · 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 $H'(z)$ and its application in Teleparallel Gravity

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:16.413077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c95435b8-3fb7-4ee6-aabc-dbb8ea577e42 · 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 $H'(z)$ and its application in Teleparallel Gravity

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:11:11.540201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.