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Paper Citation Record · LEDGER

Towards a Precise Measurement of Matter Clustering: Lyman-alpha Forest Data at Redshifts 2-4

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:astro-ph/0012324.

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

pith.paper-citation-record.v1
astro-ph/0012324 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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T04:03:53.162706Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T04:04:35.972823Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 259853df-73ac-4aa9-857c-21cf74e79da4 · inbound

Cosmological analysis of the DESI DR1 Lyman alpha 1D power spectrum cites this paper.

Cosmological analysis of the DESI DR1 Lyman alpha 1D power spectrum Towards a Precise Measurement of Matter Clustering: Lyman-alpha Forest Data at Redshifts 2-4

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-16T10:07:43.978074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T10:03:09.666511Z digest=sha256:591f5e4ffeb2657d2d419ba7ba1f379095c1d605aab771d11b8471d8253b11b9

Observation ecff876d-d200-4af5-9437-bc5a13b09671 · inbound

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

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest Towards a Precise Measurement of Matter Clustering: Lyman-alpha Forest Data at Redshifts 2-4

Reference 148

Resolution
verified exact
local_arxiv, observed 2026-05-22T04:04:35.975739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T04:03:53.162706Z digest=sha256:93ed3cc5a2d7e6d45999262ab1d27c012a88af7178f1dd2057f79e3587ecbc45