Paper Citation Record · LEDGER

LyMAS reloaded: improving the predictions of the large-scale Lyman-{\alpha} forest statistics from dark matter density and velocity fields

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2204.06365.

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

pith.paper-citation-record.v1
2204.06365 v1

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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:27:25.253339Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:29:54.995593Z

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 95950a4a-1c02-4b06-965a-e9fa3983e5e2 · inbound

Modeling the Cosmological Lyman-$\alpha$ Forest at the Field Level cites this paper.

Modeling the Cosmological Lyman-$\alpha$ Forest at the Field Level LyMAS reloaded: improving the predictions of the large-scale Lyman-{\alpha} forest statistics from dark matter density and velocity fields

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T21:27:25.253339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e26e718-98b9-4051-837d-3cf84445cdee · inbound

Bridging Simulations and EFT: A Hybrid Model of the Lyman-Alpha Forest Field cites this paper.

Bridging Simulations and EFT: A Hybrid Model of the Lyman-Alpha Forest Field LyMAS reloaded: improving the predictions of the large-scale Lyman-{\alpha} forest statistics from dark matter density and velocity fields

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-03T16:28:34.620171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12c80fc5-e425-4821-bfe6-20295f2ecd78 · inbound

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest cites this paper.

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest LyMAS reloaded: improving the predictions of the large-scale Lyman-{\alpha} forest statistics from dark matter density and velocity fields

Reference 247

Resolution: verified exact; arxiv_id, observed 2026-05-22T04:06:01.793782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e0fbcd5a-4751-4569-a44d-0d6792a2b8a9 · inbound

Lyman-Alpha Forest and its Cross-Correlation with High-Redshift Galaxies in Effective Field Theory at the Field Level cites this paper.

Lyman-Alpha Forest and its Cross-Correlation with High-Redshift Galaxies in Effective Field Theory at the Field Level LyMAS reloaded: improving the predictions of the large-scale Lyman-{\alpha} forest statistics from dark matter density and velocity fields

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:29:54.997272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.