Paper Citation Record · LEDGER

Quijote-PNG: Optimizing the summary statistics to measure Primordial non-Gaussianity

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.00490.

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

pith.paper-citation-record.v1
2403.00490 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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:30:09.326680Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bb4ead6d-1240-4894-876f-e1d6ebb507be · inbound

Tomographic Alcock-Paczynski Test with Marked Correlation Functions cites this paper.

Tomographic Alcock-Paczynski Test with Marked Correlation Functions Quijote-PNG: Optimizing the summary statistics to measure Primordial non-Gaussianity

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:56:58.019530Z

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 eeee886f-4685-43c4-ae58-c0015cfcf499 · inbound

$\texttt{GENGARS}$: Accurate non-Gaussian initial conditions with arbitrary bispectrum for N-body simulations cites this paper.

$\texttt{GENGARS}$: Accurate non-Gaussian initial conditions with arbitrary bispectrum for N-body simulations Quijote-PNG: Optimizing the summary statistics to measure Primordial non-Gaussianity

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T05:30:09.326680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f125f30b-14a1-475a-8420-d93ae13f6e4a · inbound

PatchNet: A hierarchical approach for neural field-level inference from Quijote Simulations cites this paper.

PatchNet: A hierarchical approach for neural field-level inference from Quijote Simulations Quijote-PNG: Optimizing the summary statistics to measure Primordial non-Gaussianity

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T11:12:30.902093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51234e75-30bc-4ab8-baf3-b81b2cb6d1ce · inbound

First full-shape joint analysis of the two- and three-point correlation functions on real data: $\Lambda$CDM cosmological constraints from BOSS DR12 cites this paper.

First full-shape joint analysis of the two- and three-point correlation functions on real data: $\Lambda$CDM cosmological constraints from BOSS DR12 Quijote-PNG: Optimizing the summary statistics to measure Primordial non-Gaussianity

Reference 225

Resolution: verified exact; arxiv_id, observed 2026-06-26T01:38:51.572744Z

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.