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Paper Citation Record · LEDGER

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation

As of 15 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 3 inbound Pith citation observations for arXiv:2511.05484.

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

pith.paper-citation-record.v1
2511.05484 v2

Coverage vector

measured 40 of 40 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T23:38:18.357468Z

measured 43 of 43 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T04:43:54.261053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:39:02.368915Z

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40 of 40 outbound references displayed

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Outbound references

Observation b4cc9acb-920f-4441-8974-c3efa97d5132 · outbound

This paper cites Large-Scale Galaxy Bias.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Large-Scale Galaxy Bias

Reference 1

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Observation 5831d086-550d-499f-86c5-f96acfafc139 · outbound

This paper cites Biased Tracers and Time Evolution.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Biased Tracers and Time Evolution

Reference 2

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Observation e3ed0d3c-5a50-4504-b86c-12a340f293f0 · outbound

This paper cites The one-loop bispectrum of galaxies in redshift space from the Effective Field Theory of Large-Scale Structure.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation The one-loop bispectrum of galaxies in redshift space from the Effective Field Theory of Large-Scale Structure

Reference 3

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Observation 32b99c66-f563-428e-baad-14ca075a8b65 · outbound

This paper cites The Renormalization Group for Large-Scale Structure: Origin of Galaxy Stochasticity.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation The Renormalization Group for Large-Scale Structure: Origin of Galaxy Stochasticity

Reference 4

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Observation 97564f41-8eac-46c0-9e64-73af29ab6bc0 · outbound

This paper cites Minimizing the stochasticity of halos in large-scale structure surveys.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Minimizing the stochasticity of halos in large-scale structure surveys

Reference 5

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Observation b8ccfd5c-f217-4879-bb63-6404e76f0cab · outbound

This paper cites Rubira and F.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Rubira and F

Reference 6

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Observation 4f931b32-cce7-4629-ad60-3f6b88d31dba · outbound

This paper cites Perturbative Likelihoods for Large-Scale Structure of the Universe.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Perturbative Likelihoods for Large-Scale Structure of the Universe

Reference 7

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Observation 14f19550-5fc6-4938-bbef-f58acd2e7dce · outbound

This paper cites Bayesian physical reconstruction of initial conditions from large scale structure surveys.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Bayesian physical reconstruction of initial conditions from large scale structure surveys

Reference 8

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Observation e3cd0df8-023b-4aa2-b317-6b02cbe83ddd · outbound

This paper cites The Initial Conditions of the Universe from Constrained Simulations.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation The Initial Conditions of the Universe from Constrained Simulations

Reference 9

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Observation f411e8f0-8af9-4650-81c5-acd6e2b6ada1 · outbound

This paper cites Reconstructing the Initial Density Field of the Local Universe: Method and Test with Mock Catalogs.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Reconstructing the Initial Density Field of the Local Universe: Method and Test with Mock Catalogs

Reference 10

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Observation 8b58ba3f-2803-4e2c-b4f9-b312fcefcb7a · outbound

This paper cites ELUCID - Exploring the Local Universe with reConstructed Initial Density field I: Hamiltonian Markov Chain Monte Carlo Method with Particle Mesh Dynamics.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation ELUCID - Exploring the Local Universe with reConstructed Initial Density field I: Hamiltonian Markov Chain Monte Carlo Method with Particle Mesh Dynamics

Reference 11

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Observation 77f04eee-0abd-46fe-a436-b9de6fcc4aee · outbound

This paper cites Cosmological Reconstruction From Galaxy Light: Neural Network Based Light-Matter Connection.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Cosmological Reconstruction From Galaxy Light: Neural Network Based Light-Matter Connection

Reference 12

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Observation d7ed54c9-c022-4eb7-91d5-7d255fc36f2c · outbound

This paper cites Unbiased Cosmology Inference from Biased Tracers using the EFT Likelihood.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Unbiased Cosmology Inference from Biased Tracers using the EFT Likelihood

Reference 13

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Observation 8adf3faa-0134-483a-961a-6784d409f0e8 · outbound

This paper cites Sigma-Eight at the Percent Level: The EFT Likelihood in Real Space.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Sigma-Eight at the Percent Level: The EFT Likelihood in Real Space

Reference 14

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Observation bc792777-78e4-4058-83d6-74b1a561121c · outbound

This paper cites Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks

Reference 15

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Observation 1cd9a077-7481-47fe-8bc8-accd1a748683 · outbound

This paper cites Effective cosmic density field reconstruction with convolutional neural network.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Effective cosmic density field reconstruction with convolutional neural network

Reference 16

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Observation fec4f173-585c-4ab9-bbda-5c6dd808618c · outbound

This paper cites Bayesian field-level inference of primordial non-Gaussianity using next-generation galaxy surveys.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Bayesian field-level inference of primordial non-Gaussianity using next-generation galaxy surveys

Reference 17

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Observation 3391d884-f5f8-469b-8e41-259dfd1d46cb · outbound

This paper cites Reconstructing the Universe with Variational self-Boosted Sampling.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Reconstructing the Universe with Variational self-Boosted Sampling

Reference 18

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Observation 07ab5c1d-d28e-479e-84cd-d281e9df5c7e · outbound

This paper cites Translation and Rotation Equivariant Normalizing Flow (TRENF) for Optimal Cosmological Analysis.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Translation and Rotation Equivariant Normalizing Flow (TRENF) for Optimal Cosmological Analysis

Reference 19

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Observation 4c01ede5-0f69-4a11-a8e6-d1faa6b6ced5 · outbound

This paper cites Consistency tests of field level inference with the EFT likelihood.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Consistency tests of field level inference with the EFT likelihood

Reference 20

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Observation 46d5bce1-6faa-49ef-a44c-be1b19162c83 · outbound

This paper cites Reconstructing the cosmological density and velocity fields from redshifted galaxy distributions using V-net.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Reconstructing the cosmological density and velocity fields from redshifted galaxy distributions using V-net

Reference 21

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Observation e6603e0f-617e-4d61-bfcd-94d3f0b31e97 · outbound

This paper cites Predicting the Initial Conditions of the Universe using a Deterministic Neural Network.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Predicting the Initial Conditions of the Universe using a Deterministic Neural Network

Reference 22

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Observation 0ed60c92-eb28-421e-8e72-a53d6f56bc08 · outbound

This paper cites Neural physical engines for inferring the halo mass distribution function.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Neural physical engines for inferring the halo mass distribution function

Reference 23

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Observation 174c050b-286b-4c82-ad84-13aff2c4c622 · outbound

This paper cites Bayesian Inference of Initial Conditions from Non-Linear Cosmic Structures using Field-Level Emulators.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Bayesian Inference of Initial Conditions from Non-Linear Cosmic Structures using Field-Level Emulators

Reference 24

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Observation 17a7c0bd-6827-437b-b3ec-aa3119fa8d47 · outbound

This paper cites Babi´ c, F.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Babi´ c, F

Reference 25

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Observation d4e7a9a8-51f4-481e-80af-b2abf52747a2 · outbound

This paper cites How much information can be extracted from galaxy clustering at the field level?.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation How much information can be extracted from galaxy clustering at the field level?

Reference 26

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Observation 4c6da3f1-e788-4111-a18a-641d698277bf · outbound

This paper cites The EFT Likelihood for Large-Scale Structure.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation The EFT Likelihood for Large-Scale Structure

Reference 27

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Observation 26faffcd-25a9-482c-affe-e44d9e74deb6 · outbound

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Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation The Likelihood for LSS: Stochasticity of Bias Coefficients at All Orders

Reference 28

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Observation 1a1d4aaf-2b85-4ade-86f3-5edd1374dc6c · outbound

This paper cites Galaxy bias renormalization group.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Galaxy bias renormalization group

Reference 29

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This paper cites The Renormalization Group for Large-Scale Structure: Primordial non-Gaussianities.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation The Renormalization Group for Large-Scale Structure: Primordial non-Gaussianities

Reference 30

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Observation 83435722-e481-4fc2-9e65-afbe7cbe9aac · outbound

This paper cites Two-loop renormalization and running of galaxy bias.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Two-loop renormalization and running of galaxy bias

Reference 31

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Observation 2c448446-fbee-43f6-8066-ab24c2fdd1e9 · outbound

This paper cites EFTofLSS meets simulation-based inference: $\sigma_8$ from biased tracers.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation EFTofLSS meets simulation-based inference: $\sigma_8$ from biased tracers

Reference 32

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This paper cites Schmidt,On the connection between field-level inference and n-point correlation functions, JCAP09(2025) 056, [2504.15351].

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Schmidt,On the connection between field-level inference and n-point correlation functions, JCAP09(2025) 056, [2504.15351]

Reference 33

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This paper cites A rigorous EFT-based forward model for large-scale structure.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation A rigorous EFT-based forward model for large-scale structure

Reference 34

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Observation 5c028444-bd6f-426c-bdc2-da95c5b76f31 · outbound

This paper cites Cosmology Inference from Biased Tracers using the EFT-based Likelihood.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Cosmology Inference from Biased Tracers using the EFT-based Likelihood

Reference 36

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Observation c891025b-6f19-4678-8f80-4bdc43665df6 · outbound

This paper cites Fast, Accurate and Perturbative Forward Modeling of Galaxy Clustering Part I: Galaxies in the Restframe.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Fast, Accurate and Perturbative Forward Modeling of Galaxy Clustering Part I: Galaxies in the Restframe

Reference 37

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Observation d6b665ab-42b5-48c3-91fc-f79131a9e267 · outbound

This paper cites The EFT Likelihood for Large-Scale Structure in Redshift Space.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation The EFT Likelihood for Large-Scale Structure in Redshift Space

Reference 38

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This paper cites Stadler, F.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Stadler, F

Reference 39

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This paper cites Akitsu, M.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Akitsu, M

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This paper cites Impacts of the physical data model on the forward inference of initial conditions from biased tracers.

Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation Impacts of the physical data model on the forward inference of initial conditions from biased tracers

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On the Relation Between Field-Level Posteriors, Correlators, and their Likelihoods cites this paper.

On the Relation Between Field-Level Posteriors, Correlators, and their Likelihoods Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation

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Field-level vs summaries: convergence of information in non-Gaussian density fields cites this paper.

Field-level vs summaries: convergence of information in non-Gaussian density fields Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation

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Galaxy bias renormalization: Two-loop Power Spectrum, One-loop Trispectrum and Bispectrum cites this paper.

Galaxy bias renormalization: Two-loop Power Spectrum, One-loop Trispectrum and Bispectrum Non-Gaussian Galaxy Stochasticity and the Noise-Field Formulation

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