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Paper Citation Record · LEDGER

New approach for precise computation of Lyman-alpha forest power spectrum with hydrodynamical simulations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1401.6472.

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

pith.paper-citation-record.v1
1401.6472 v3

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 2026-08-06T16:55:44.266846Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T04:04:35.863246Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 208f360a-81e0-48be-8241-be46b4fbc5d1 · inbound

Cosmological neutrino mass: a frequentist overview in light of DESI cites this paper.

Cosmological neutrino mass: a frequentist overview in light of DESI New approach for precise computation of Lyman-alpha forest power spectrum with hydrodynamical simulations

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-06T16:55:44.266846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:55:44.266846Z digest=sha256:ca9bf4eb0c475294bb4eef5077e842cf52f25abb529b66aed50cea8dcd11831e

Observation aa49119e-eb7f-48a6-8109-38bd5418f174 · inbound

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

Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest New approach for precise computation of Lyman-alpha forest power spectrum with hydrodynamical simulations

Reference 126

Resolution
verified exact
local_arxiv, observed 2026-05-22T04:04:35.866192Z

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=2026-05-22T04:03:53.162706Z digest=sha256:25e23a0e11d56548ec317662ba637a9c6fec844fa7be00cd1bc2bd138a1fe328