Paper Citation Record · LEDGER

Cosmology-informed Neural Networks to infer dark energy equation-of-state

As of 18 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2508.12032.

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

pith.paper-citation-record.v1
2508.12032 v1

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Outbound references

Observation 2ce1b04e-7783-41e3-bde5-69b91f469bc2 · outbound

This paper cites Deep Learning.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Deep Learning

Reference 1

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This paper cites Artificial neural networks.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Artificial neural networks

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Unresolved cited work

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This paper cites Introduction to the artificial neural networks.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Introduction to the artificial neural networks

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This paper cites Raissi, P.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Raissi, P

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This paper cites Spurio Mancini and A.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Spurio Mancini and A

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This paper cites Solving Differential Equations Using Neural Network Solution Bundles.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Solving Differential Equations Using Neural Network Solution Bundles

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This paper cites Chantada, Susana J.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Chantada, Susana J

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This paper cites Perlmutter et al.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Perlmutter et al

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This paper cites Riess et al.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Riess et al

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This paper cites The Pantheon+ Analysis: Cosmological Constraints.

Cosmology-informed Neural Networks to infer dark energy equation-of-state The Pantheon+ Analysis: Cosmological Constraints

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This paper cites Carroll, William H.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Carroll, William H

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This paper cites The Cosmological Constant Problems (Talk given at Dark Matter 2000, Febru- ary, 2000).

Cosmology-informed Neural Networks to infer dark energy equation-of-state The Cosmological Constant Problems (Talk given at Dark Matter 2000, Febru- ary, 2000)

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Observation e518b99d-94d4-43e6-b0a2-2f9d5b30471e · outbound

This paper cites The Cosmological Constant Problem: Why it's hard to get Dark Energy from Micro-physics.

Cosmology-informed Neural Networks to infer dark energy equation-of-state The Cosmological Constant Problem: Why it's hard to get Dark Energy from Micro-physics

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This paper cites Quantum Gravity and the Cosmological Constant Problem.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Quantum Gravity and the Cosmological Constant Problem

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Aghanim et al

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This paper cites A Lockdown Perspective on the Hubble Tension (with comments from the SH0ES team).

Cosmology-informed Neural Networks to infer dark energy equation-of-state A Lockdown Perspective on the Hubble Tension (with comments from the SH0ES team)

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Freedman

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Mota, Adam G

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Accelerating Universes with Scaling Dark Matter

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This paper cites Redshift-space distortions, pairwise velocities, and nonlinearities.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Redshift-space distortions, pairwise velocities, and nonlinearities

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This paper cites Test of the chevallier-polarski-linder parametrization for rapid dark energy equation¡? format?¿ of state transitions.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Test of the chevallier-polarski-linder parametrization for rapid dark energy equation¡? format?¿ of state transitions

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Reconstructing gravity on cosmological scales

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This paper cites Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Cosmological implications from two decades of spectroscopic surveys at the Apache Point Obser- vatory.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Cosmological implications from two decades of spectroscopic surveys at the Apache Point Obser- vatory

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Lodha et al

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This paper cites Future supernovae observations as a probe of dark energy.

Cosmology-informed Neural Networks to infer dark energy equation-of-state Future supernovae observations as a probe of dark energy

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Cosmology-informed Neural Networks to infer dark energy equation-of-state New parametrization for unified dark matter and dark energy

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Cosmology-informed Neural Networks to infer dark energy equation-of-state A new equation of state for dark energy model

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Probing the dynamics of dark energy with novel parametrizations

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations

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Cosmology-informed Neural Networks to infer dark energy equation-of-state L2 Regularization for Learning Kernels

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Cosmology-informed Neural Networks to infer dark energy equation-of-state The pantheon+ analysis: the full data set and light-curve release

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Cosmology-informed Neural Networks to infer dark energy equation-of-state The Pantheon+ Analysis: The Full Data Set and Light-curve Release

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Coughlin, Susana Deustua, Augustin Guyonnet, Nicholas Mondrik, Joseph P

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Ma´ ız Apell´ aniz and M

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Hogg, Dustin Lang, and Jonathan Goodman

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Shankaranarayanan and Joseph P

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Aluri, and David F

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Neural Ordinary Differential Equations

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Cobaya: code for Bayesian analysis of hierarchical physical models

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Cosmology-informed Neural Networks to infer dark energy equation-of-state GetDist: a Python package for analysing Monte Carlo samples

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Cosmology-informed Neural Networks to infer dark energy equation-of-state SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Harris et al

Reference 56

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Unresolved cited work

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Unresolved cited work

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Price-Whelan et al

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Cosmology-informed Neural Networks to infer dark energy equation-of-state Unresolved cited work

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Cosmology-informed Neural Networks to infer dark energy equation-of-state 652, C4 (2021)]

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Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction Cosmology-informed Neural Networks to infer dark energy equation-of-state

Reference 93

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Cosmo-PINN: A Physics-Informed Neural Network for Cosmological Reconstruction Cosmology-informed Neural Networks to infer dark energy equation-of-state

Reference 93

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