Paper Citation Record · LEDGER

Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2104.14568.

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

pith.paper-citation-record.v1
2104.14568 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:31:03.572629Z

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

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External citation measurements

1
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 760291cc-3642-4ecf-bb4b-1fe92dce2aab · inbound

Emulating Recombination with Neural Networks using Universal Differential Equations cites this paper.

Emulating Recombination with Neural Networks using Universal Differential Equations Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:31:03.572629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32bef138-a66f-47c0-b7a3-26b258fd4869 · inbound

Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe cites this paper.

Effort: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:31:06.086508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d8c6e46-185d-4901-8f75-c6eebecacac6 · inbound

Projecting Unequal Time Fields and Correlators of Large Scale Structure cites this paper.

Projecting Unequal Time Fields and Correlators of Large Scale Structure Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T21:26:05.195053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ec1831-3418-436e-a54f-b973cd3988d5 · inbound

Low-redshift constraints on structure growth from CMB lensing tomography cites this paper.

Low-redshift constraints on structure growth from CMB lensing tomography Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T10:38:00.406269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4eeb58d-8a5d-4cf9-b1c0-dd207c440f5d · inbound

CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks cites this paper.

CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T15:17:37.559757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc52d351-46ff-4a90-b5ba-cb6201ed9fb4 · inbound

Constraining Neutrino Mass with the Void Weak Lensing Effect cites this paper.

Constraining Neutrino Mass with the Void Weak Lensing Effect Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:35:07.806952Z

Source-reported events for the cited work

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Observation 90b83b46-bfa7-4b14-acb0-980d84523512 · inbound

cloelib: A Flexible Python Library for Computing Cosmological Observables in the Euclid Era cites this paper.

cloelib: A Flexible Python Library for Computing Cosmological Observables in the Euclid Era Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:05:16.415613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 85e5dca3-e147-4151-9074-e175789907b8 · inbound

cloelike: A Python Library for Cosmological Likelihood Inference in the Euclid Era cites this paper.

cloelike: A Python Library for Cosmological Likelihood Inference in the Euclid Era Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:00:15.096451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c689d3e1-8af5-4d0b-936f-3c976b13f6bc · inbound

CMBolic: Symbolic emulators for the Cosmic Microwave Background. I. Lensing cites this paper.

CMBolic: Symbolic emulators for the Cosmic Microwave Background. I. Lensing Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:17:21.426971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.