Paper Citation Record · LEDGER

Testing the accuracy of the Hydro-PM approximation in numerical simulations of the Lyman-alpha forest

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:astro-ph/0504641.

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

pith.paper-citation-record.v1
astro-ph/0504641 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:36:09.261194Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T04:04:35.528891Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
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 62012e35-135b-42ac-9281-7555afa66d1e · inbound

2024 TASI Lectures: A Dark Matter Primer cites this paper.

2024 TASI Lectures: A Dark Matter Primer Testing the accuracy of the Hydro-PM approximation in numerical simulations of the Lyman-alpha forest

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T10:36:09.261194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d126edf-8b1d-49d1-8671-ad2eaba629a9 · inbound

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

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Testing the accuracy of the Hydro-PM approximation in numerical simulations of the Lyman-alpha forest

Reference 149

Resolution: verified exact; local_arxiv, observed 2026-05-22T04:04:35.531050Z

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.