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Paper Citation Record · LEDGER

Reconstructing teleparallel gravity with cosmic structure growth and expansion rate data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.05021.

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

pith.paper-citation-record.v1
2103.05021 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:43:16.157263Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:55:44.483344Z

Reference resolution

0 of 0 outbound references displayed

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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 df58ffc1-3e39-4543-a3e6-2cb80dcd6252 · inbound

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

Model-independent calibration of Gamma-Ray Bursts with neural networks Reconstructing teleparallel gravity with cosmic structure growth and expansion rate data

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:55:44.485312Z

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=sha256:73abb21e9f4624250a06f28c3925327b737306c073dad50517b31f1ced525568

Observation 9ba126d4-82a5-418c-9572-e0f502a8e184 · 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 Reconstructing teleparallel gravity with cosmic structure growth and expansion rate data

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T14:43:16.157263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:43:16.157263Z digest=sha256:7183ceab3ceff03934598c9f3a5006262444639533ce9be7c509ed802fbaaf5d