Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T13:11:13.966306Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2601.00495.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-03T13:11:13.966306Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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79 of 79 outbound references displayed
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Observation e709455e-4e11-463f-b104-7b5162bd8965 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant,
Reference 1
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Observation 86d9437b-60f8-43d1-95b5-0044a27aa3b5 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Measurements of Ω and Λ from 42 High-Redshift Supernovae,
Reference 2
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Observation 36ee8f0a-0c8e-4309-b01c-26b0b5d56bb0 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks The Cosmological Constant Problem,
Reference 3
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Observation 94ab6ca6-99fa-4155-91e7-8684906b7308 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks The Cosmological Constant and Dark Energy,
Reference 4
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Observation f2195674-216c-4773-843d-d287be3713bb · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Planck 2018 results. VI. Cosmological parameters,
Reference 5
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Observation 145b22cb-017c-48bf-b094-19f93cb8d687 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Dynamics of Dark Energy,
Reference 6
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Observation f3d4dfcf-422d-4122-914b-ee4261c0d9d8 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Modified Gravity and Cosmology,
Reference 7
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Observation 1d057033-ffb4-4a4b-b5a0-007abcc7ed13 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Accelerating Universes with Scaling Dark Matter,
Reference 8
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Observation 9798ef66-c7fe-4c11-997f-aa366003af9e · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Exploring the Expansion History of the Universe,
Reference 9
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Observation b8b86326-c4fb-4fde-8693-a4ea59ed68c7 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Exploring the Expanding Universe and Dark Energy Using the Statefinder Diagnostic,
Reference 10
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Observation 84b8e718-f6d6-4df9-9ce6-b41090cd2f16 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Large Magellanic Cloud Cepheid Standards Provide a 1% Foundation for the Determination of the Hubble Constant,
Reference 11
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Observation 848c1f05-c62a-4287-94dd-faf0f63e7485 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Tensions between the Early and the Late Universe,
Reference 12
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Observation 53c5b3a8-2786-4172-84fd-788aaa64144d · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks In the Realm of the Hubble Tension—A Review of Solutions,
Reference 13
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Observation c2401f50-7573-4537-9dd3-14be2884ec0f · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Lower Growth Rate from Recent Redshift Space Distortion Measurements than Expected from Planck,
Reference 14
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Observation c35232e6-a4dd-4f4c-bbf5-cc9f1845fb28 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks KiDS-450: Cosmological Parameter Constraints from Tomographic Weak Gravitational Lensing,
Reference 15
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Observation 21d12086-2639-48ab-97b0-3dd72eaa6526 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Tension and Constraints on Modified Gravity Parametrizations ofGeff (z) from Growth Rate and Planck Data,
Reference 16
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Observation b747c2d3-07e0-4fab-bc73-07582c998147 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Massive neutrinos and cosmology,
Reference 17
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Observation f761f3e2-c28b-471d-b185-2f6e2babb6f0 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Neutrino mass from cosmology,
Reference 18
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Observation 446b1f46-b1dc-4012-945c-187b53c72616 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Unveilingνsecrets with cosmological data: Neutrino masses and mass hierarchy,
Reference 19
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Observation 92ac7aab-7536-47ff-a8d1-10f44135f39c · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Beyond six parameters: extending ΛCDM,
Reference 20
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Observation 6d15e870-8e1a-4a17-be9a-27c77b901187 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks A CMB-based analysis of neutrino masses,
Reference 21
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Observation fcdfdfc7-c0b4-48b5-a2fd-afccbc5ba62b · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Physics–Informed Neural Networks: A Deep Learning Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations,
Reference 22
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Observation b56a476d-cdee-4a68-8494-621d8ae9b10b · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks B–PINNs: Bayesian Physics–Informed Neural Networks for Forward and Inverse PDE Problems with Uncertainty Quantification,
Reference 23
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Observation c094ee06-e616-4d12-b92e-355b9b52c6a2 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks The European Physical Journal C 83 (910 (2023))
Reference 24
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Observation f29c0e02-c69b-43dd-bdbe-1b03cf6af43b · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Communications in Theoretical Physics 75 - 055401(2023)
Reference 25
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Observation e32b1c4e-fdb7-44cf-b137-e16ff09e7f29 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Scientific Machine Learning through Physics–Informed Neural Networks: Where we are and What’s next,
Reference 26
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Observation 9f38041a-6cdb-4d0b-95c9-5cfdcdbae71f · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Bayesian neural networks in cosmology: reconstruction and model comparison,
Reference 27
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Observation cf439a8c-5949-40c7-ae90-449e6d891738 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Dropout as a Bayesian Approximation,
Reference 28
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Observation 28fa0434-269d-4591-8324-01cdb9d79a11 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Surrogate modeling for fluid flows,
Reference 30
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Observation 33716720-2b41-4a9f-95dc-7fb5078fac3a · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks The Pantheon+ Analysis: The Full Dataset and Cosmological Constraints,
Reference 31
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Observation cb950bc2-3024-4d11-8c9a-284559d91d9d · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Measuring cosmic bulk flow with Pantheon catalogue in perturbed f(R) gravity,
Reference 32
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Observation c1cafbfb-88bc-4450-a5bc-7278dd540746 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks A Comparative Bayesian PINN–MCMC Analysis of Barrow–Tsallis Holographic Dark Energy with Neutrinos: Toward Resolving the Hubble Tension,
Reference 33
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Observation c4115ad3-7998-4082-b1c4-d7c0a1a44650 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Cosmic Bulk Flow Analysis in Modified Gravity Theories: and Perturbed Models with Neutrino Coupling,
Reference 35
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Observation ffc2fb83-6f36-4e33-9a3b-7bc57e5e2406 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks A 2.4% Determination of the Local Value of the Hubble Constant,
Reference 36
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Observation 3f4ad669-1bdf-4a9f-a1e3-0f9b4c170f3b · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks A Comprehensive Measurement of the Local Value of the Hubble Constant with 1 km s −1 Mpc−1 Uncertainty from the Hubble Space Telescope and the SH0ES Team,
Reference 37
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Observation c217989e-16d2-4305-bb65-cb0e8ffa4d1e · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks On the Hubble constant tension in the SNe Ia Pantheon sample
Reference 38
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Observation 73906ccf-1da0-45ce-a488-6e7ae43ef9b8 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks On the evolution of the Hubble constant with the SNe Ia Pantheon Sample and Baryon Acoustic Oscillations: a feasibility study for GRB-cosmology in 2030
Reference 39
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Observation 594b1988-6fda-49fa-a081-4cff7031b8cb · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks A New Master Supernovae Ia sample and the investigation of the $H_0$ tension
Reference 40
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Observation c92eef69-e7f5-4f09-af61-f1287ad5ed1a · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Setting the Stage for Cosmic Chronometers. II. Impact of Stellar Population Synthesis Models Systematics and Full Covariance Matrix
Reference 41
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Observation 13faf3b1-896e-4417-8cc0-ba56cac341b7 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Improved constraints on the expansion rate of the Universe up to z~1.1 from the spectroscopic evolution of cosmic chronometers
Reference 42
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Observation 1f13c63e-d3a1-4637-9c1c-1eb18183f3cf · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Raising the bar: new constraints on the Hubble parameter with cosmic chronometers at z$\sim$2
Reference 43
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Observation af8704bc-74e4-4834-bb58-34b8fbe6cea1 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks A 6% measurement of the Hubble parameter at $z\sim0.45$: direct evidence of the epoch of cosmic re-acceleration
Reference 44
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Observation b64afb84-f3b5-4d36-8afd-bfc0665a5662 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Coupled non-canonical scalar field to neutrinos could alleviate the Hubble tension and cross the phantom barrier,
Reference 45
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Observation fa7cce1d-bd4e-4853-96a1-adc6a6a9bd05 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Neutrino Interactions with perturbed Rastall Gravity: A Novel Approach to Reducing the Hubble Ten- sion,
Reference 46
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Observation 9424d2ab-fc90-4c07-8a85-9a18391d736a · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Generalized Logarithmic Modification of Barrow-Tsallis Entropy Can Alleviate the Hubble Tension,
Reference 47
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Observation 66a0c021-b54c-4093-9bef-e2e5d85175f4 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Beyond the Local Universe: Impacts of Scalar field Coupled to Non-Relativistic Neutrinos on Bulk Flow,
Reference 48
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Observation 3fe6cbcd-e28e-423e-b1cb-f2747228d47a · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Cosmic Chronometers: Constraining the Equation of State of Dark Energy. I: H(z) Measurements
Reference 49
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Observation d33db03d-751d-4ade-8981-7ff20b53aa5a · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Age-dating Luminous Red Galaxies observed with the Southern African Large Telescope
Reference 50
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Observation b9248510-f26e-4854-95a0-086f5deb0aad · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Four New Observational $H(z)$ Data From Luminous Red Galaxies of Sloan Digital Sky Survey Data Release Seven
Reference 51
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Observation fdf2d792-2a04-4814-bb80-d90972a6639f · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Toward a Better Understanding of Cosmic Chronometers: A new measurement of H(z) at z~0.7
Reference 52
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Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks 2024, MNRAS,Pages 3055–3067, https://doi.org/10.1093/mnras/stae2257
Reference 53
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Observation 1f7e9c2e-af86-4b6a-8809-203dbddc09d6 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Distance priors from Planck final release,
Reference 54
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Observation 61875b5d-1f23-4d3d-b888-346085488b8b · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks DESI DR2 Results I: Baryon Acoustic Oscillations from the Lyman Alpha Forest
Reference 56
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Observation 828fe697-3995-4099-add0-cac87e28e024 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Planck 2018 results. V. CMB power spectra and likelihoods
Reference 57
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Observation cb718998-8d2b-4f39-af96-b8cd39f76b33 · outbound
Reference 58
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Observation 4fbc5cfe-09bd-4c9b-8a5f-515bcf026497 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Eur.Phys.J.C 84 (2024) 4, 443
Reference 59
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Observation f5e29ee1-0b80-4a56-8541-8ea1a313b311 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks DESI DR2 Results II: Measurements of Baryon Acoustic Oscillations and Cosmological Constraints
Reference 60
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Observation 5d27b911-033c-4bd4-ad7d-b19f74790cbc · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Dynamical Dark Energy in the Crosshairs: A Joint Analysis with DESI, Pantheon plus, and TDCOSMO Constraints,
Reference 61
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Observation 6db5ea7e-8bbe-4919-b194-3607123b0e45 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks How Complex is Dark Energy? A Bayesian Analysis of CPL Extensions with Recent DESI BAO Measurements
Reference 62
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Observation 8034202c-60b6-46e3-8769-b6612315d42f · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Using non-DESI data to confirm and strengthen the DESI 2024 spatially flat w0waCDM cosmological parametrization result,
Reference 63
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Observation ecfaab3a-c8f8-4e8a-a547-51484e63c0e0 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Unresolved cited work
Reference 64
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Observation d17224e9-5e4c-4a7c-9dab-b2a8fd076e46 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Yarahmadi et al
Reference 65
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Observation 96043510-a480-49fb-a734-1e9cd7c19a26 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Cosmology with massive neutrinos coupled to dark energy
Reference 66
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Observation 09a690da-1a3d-4f20-9fb8-28776f9a2df3 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Neutrinos in Cosmology,
Reference 67
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Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Status of neutrino properties and future prospects - Cosmological and astrophysical constraints
Reference 68
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Observation 33206306-36f3-43e6-a9da-11f6b0f936ba · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Effects of neutrino mass and asymmetry on cosmological structure formation
Reference 69
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Observation e1dd11d4-3bdf-4d85-91e9-444350575fff · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Can Chameleon fields be the source of both the dark energy dipole and the CMB dipole?
Reference 70
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Observation 071d19f2-ef0d-415f-b133-41edd3421260 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Calibration of the Tip of the Red Giant Branch (TRGB)
Reference 71
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Observation 026bdabd-606e-4669-a165-6d0a6d295652 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Hubble Space Telescope Observations of Mira Variables in the Type Ia Supernova Host NGC 1559: An Alternative Candle to Measure the Hubble Constant
Reference 72
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Observation 917e55b8-2701-4f83-b757-07350f43b3c2 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks H0LiCOW XIII. A 2.4% measurement of $H_{0}$ from lensed quasars: $5.3\sigma$ tension between early and late-Universe probes
Reference 73
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Observation 6e404702-29cd-498e-8f6c-5f8ee76520fb · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Determining the Hubble Constant without the Sound Horizon Scale: Measurements from CMB Lensing
Reference 74
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Observation 8117d398-f51d-49ce-bea9-a84cc908ce49 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Large Magellanic Cloud Cepheid Standards Provide a 1% Foundation for the Determination of the Hubble Constant and Stronger Evidence for Physics Beyond LambdaCDM
Reference 75
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Observation 71ab0465-1a86-48a5-858f-60184f9d4a3a · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Cosmology-independent Estimate of the Hubble Constant and Spatial Curvature Using Time-delay Lenses and Quasars
Reference 76
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Observation 8318d296-da19-4c47-9a21-238f8764f98c · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Tensions between the Early and the Late Universe
Reference 77
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Observation b6432fec-ff46-4211-8d4e-401624e1acb2 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Towards a Machine Learning Solution for Hubble Tension: Physics-Informed Neural Network (PINN) Analysis of Tsallis Holographic Dark Energy in Presence of Neutrinos,
Reference 78
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Observation 8b59b394-2265-4dd3-8e7b-4163f3ea6462 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Can dark energy evolve to the Phantom?
Reference 79
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Observation 53861522-8017-4d39-afbf-03b119549b27 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Introduction to Modified Gravity and Gravitational Alternative for Dark Energy
Reference 80
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Observation 139b7f48-54f2-479c-97ae-219308a65ea4 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Unified cosmic history in modified gravity: from F(R) theory to Lorentz non-invariant models
Reference 81
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Observation f5503950-e7bd-4b5a-b1b5-27ee4291b022 · outbound
Late-Time Alleviation of the Hubble Tension in CPL Cosmology with Massive Neutrinos via Bayesian Physics-Informed Neural Networks Models of f(R) Cosmic Acceleration that Evade Solar-System Tests
Reference 82
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