Paper Citation Record · LEDGER

Cosmological parameter estimation with Genetic Algorithms

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.05699.

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pith.paper-citation-record.v1
2311.05699 v3

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 2026-08-05T14:43:16.373491Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:53:54.620869Z

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 3d5ff41c-41ba-4176-a9d5-95205ffc73d8 · inbound

$\Lambda_{\rm s}$CDM cosmology from a type-II minimally modified gravity cites this paper.

$\Lambda_{\rm s}$CDM cosmology from a type-II minimally modified gravity Cosmological parameter estimation with Genetic Algorithms

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:53:54.626239Z

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 ad866523-eeab-4116-bf80-e82f0d5e6e80 · 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 Cosmological parameter estimation with Genetic Algorithms

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:16.373491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 194bcf65-8a7d-4ca6-8db1-c2018d75bb3d · inbound

Nonlinear Matter Power Spectrum from relativistic $N$-body Simulations: $\Lambda_{\rm s}$CDM versus $\Lambda$CDM cites this paper.

Nonlinear Matter Power Spectrum from relativistic $N$-body Simulations: $\Lambda_{\rm s}$CDM versus $\Lambda$CDM Cosmological parameter estimation with Genetic Algorithms

Reference 187

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:50:55.198953Z

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 83050965-207c-47bc-b1a4-54f8c47fac4e · inbound

Reconstructing inflationary features on large scales using genetic algorithm cites this paper.

Reconstructing inflationary features on large scales using genetic algorithm Cosmological parameter estimation with Genetic Algorithms

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:55:25.111393Z

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.