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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:43:16.413077Z

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

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

source=pdf_text observed=2026-05-23T17:55:16.089703Z digest=sha256:a75ac4f11ea31513c3777dfde8e096b1fa2d3182ab39927d4653c086eb86338b

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.

source=pdf_text observed=2026-08-05T14:43:16.413077Z digest=sha256:e6bf6324daf3e59fb832b77ee084b18db03f9b0cde48cfeedc8aec074b51cd9c

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

source=pdf_text observed=2026-05-08T10:02:44.146079Z digest=sha256:12b476fb653e718e989137fb2ab713b135653f9183bc7c0d729d921e82e4c7e5