Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes | Paper Citation Record

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This paper cites Hawking,On the shoulders of giants: The great works of physics and astronomy(2002).

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Hawking,On the shoulders of giants: The great works of physics and astronomy(2002)

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Hubble, Proceedings of the national academy of sci- ences15, 168 (1929)

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Camps-Valls, A

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Makke and S

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Landajuela, C

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Schmidt and H

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Burlacu, G

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Sahoo, C

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Exhaustive Symbolic Regression

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes AI Feynman: a Physics-Inspired Method for Symbolic Regression

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Contemporary Symbolic Regression Methods and their Relative Performance

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Detecting the radiative decay of the cosmic neutrino background with line-intensity mapping

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Back to the Formula -- LHC Edition

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Priors for symbolic regression

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Angelis, F

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Machine learning cosmic backreaction and its effects on observations

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Cosmic backreaction and the mean redshift drift from symbolic regression

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes On the functional form of the radial acceleration relation

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Optimal Inflationary Potentials

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes A precise symbolic emulator of the linear matter power spectrum

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Cosmological parameter constraints using phenomenological symbolic expressions: On the significance of symbolic expression complexity and accuracy

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes cp3-bench: A tool for benchmarking symbolic regression algorithms tested with cosmology

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes syren-halofit: A fast, interpretable, high-precision formula for the $\Lambda$CDM nonlinear matter power spectrum

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Statistical Patterns in the Equations of Physics and the Emergence of a Meta-Law of Nature

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes syren-new: Precise formulae for the linear and nonlinear matter power spectra with massive neutrinos and dynamical dark energy

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes A Perspective on Symbolic Machine Learning in Physical Sciences

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Symbolic regression for precision LHC physics

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Discovering interpretable models of scientific image data with deep learning

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes SymbolFit: Automatic Parametric Modeling with Symbolic Regression

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Discovering Symbolic Models from Deep Learning with Inductive Biases

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Modeling assembly bias with machine learning and symbolic regression

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Finding universal relations in subhalo properties with artificial intelligence

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Modeling the galaxy-halo connection with machine learning

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatter

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes The SZ flux-mass ($Y$-$M$) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Discovering Black Hole Mass Scaling Relations with Symbolic Regression

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Rediscovering orbital mechanics with machine learning

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Evidence for dynamical dark energy from DESI-DR2 and SN data? A symbolic regression analysis

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Primordial Black Holes as Dark Matter: Recent Developments

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Snowmass2021 Cosmic Frontier White Paper:Primordial Black Hole Dark Matter

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Primordial Black Holes as a dark matter candidate -- a brief overview

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Particle Dark Matter: Evidence, Candidates and Constraints

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Dark Matter Candidates from Particle Physics and Methods of Detection

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Dark Matter

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes WIMP dark matter candidates and searches - current status and future prospects

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Constraints on dark matter annihilation from the Event Horizon Telescope Observations of M87$^\star$

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Axion Dark Matter

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Testing the ALP-photon coupling with polarization measurements of Sagittarius A*

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Cold and Fuzzy Dark Matter

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Constraining ultralight bosonic dark matter with Keck observations of S2's orbit and kinematics

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Hawking, Mon

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Primordial Black Holes as Dark Matter

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Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Rapidly growing primordial black holes as seeds of the massive high-redshift JWST Galaxies

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This paper cites an unresolved cited work.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Unresolved cited work

Reference 60

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Observation d9cb99a6-e499-49a8-96d9-0dfbfdcbceba · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.743796Z

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Observation 48ccd028-0377-455f-91bd-ff44dbd8c91a · outbound

This paper cites Analytic expressions for grey-body factors of the general parametrized spherically symmetric black holes.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Analytic expressions for grey-body factors of the general parametrized spherically symmetric black holes

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.747612Z

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Observation 36e06df0-8def-4ba9-9aa4-98538214af8b · outbound

This paper cites $\tt GrayHawk$: A public code for calculating the Gray Body Factors of massless fields around spherically symmetric Black Holes.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes $\tt GrayHawk$: A public code for calculating the Gray Body Factors of massless fields around spherically symmetric Black Holes

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.751052Z

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Observation e8718983-23b3-45a8-aafd-44ac88687ade · outbound

This paper cites Modified hoop conjecture in expanding spacetimes and primordial black hole production in FRW universe.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Modified hoop conjecture in expanding spacetimes and primordial black hole production in FRW universe

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.758578Z

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Observation ee785ca5-cf2d-4a5d-be0b-4aca53eb9c02 · outbound

This paper cites Constraining primordial black hole masses with the isotropic gamma ray background.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Constraining primordial black hole masses with the isotropic gamma ray background

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.762936Z

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Observation 4a71414f-c7b0-4266-98e7-b8c4fac7e160 · outbound

This paper cites Primordial black holes as a dark matter candidate are severely constrained by the Galactic Center 511 keV gamma-ray line.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Primordial black holes as a dark matter candidate are severely constrained by the Galactic Center 511 keV gamma-ray line

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.766960Z

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Observation 623f3995-c2d4-4cd6-9311-09c1a6444616 · outbound

This paper cites X-ray and gamma-ray limits on the primordial black hole abundance from Hawking radiation.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes X-ray and gamma-ray limits on the primordial black hole abundance from Hawking radiation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.771349Z

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Observation 6cf15276-9c63-4c07-bae9-cdd8c1c0f10e · outbound

This paper cites 21-cm constraints on spinning primordial black holes.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes 21-cm constraints on spinning primordial black holes

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.777195Z

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Observation 2d37a201-de27-4e10-accb-2dfa480d8ccf · outbound

This paper cites Identifying Spin Properties of Evaporating Black Holes through Asymmetric Neutrino and Photon Emission.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Identifying Spin Properties of Evaporating Black Holes through Asymmetric Neutrino and Photon Emission

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.781603Z

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Observation 374fb866-e30c-4c57-bd58-f7099d7612b8 · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.785542Z

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Observation 14761469-8add-4bcf-8a3d-b8ddb4d171d6 · outbound

This paper cites Voyager 1 $e^\pm$ Further Constrain Primordial Black Holes as Dark Matter.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Voyager 1 $e^\pm$ Further Constrain Primordial Black Holes as Dark Matter

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.789207Z

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Observation 9b7c5794-c4a8-47d1-bef3-3d3e476f8b65 · outbound

This paper cites Constraining primordial black holes as dark matter using AMS-02 data.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Constraining primordial black holes as dark matter using AMS-02 data

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.793497Z

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Observation 7f5ac028-dd15-4552-98b1-32ff4fe74f6f · outbound

This paper cites Neutrino and Positron Constraints on Spinning Primordial Black Hole Dark Matter.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Neutrino and Positron Constraints on Spinning Primordial Black Hole Dark Matter

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.797828Z

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Observation 75658c04-3faa-4014-87e7-a10880a45292 · outbound

This paper cites Constraining primordial black holes as dark matter at JUNO.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Constraining primordial black holes as dark matter at JUNO

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.801621Z

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Observation aa43dd0a-48cf-4b0f-892f-a8e3bb873497 · outbound

This paper cites Dirac and Majorana neutrino signatures of primordial black holes.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Dirac and Majorana neutrino signatures of primordial black holes

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.805616Z

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Observation 179a5bba-7d60-437c-8a00-e43d19aba92c · outbound

This paper cites Primordial Black Hole Dark Matter evaporating on the Neutrino Floor.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Primordial Black Hole Dark Matter evaporating on the Neutrino Floor

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.809625Z

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Observation b7a5635e-f865-4acb-9138-4f30b34a33f6 · outbound

This paper cites Primordial black hole probes of heavy neutral leptons.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Primordial black hole probes of heavy neutral leptons

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.813654Z

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Observation a1db9c2a-26ba-4553-83a8-abd6d3774e96 · outbound

This paper cites A black hole solution to the cosmological monopole problem.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes A black hole solution to the cosmological monopole problem

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.817505Z

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Observation 25f5bbaf-5989-41d3-917e-8475687786fd · outbound

This paper cites New cosmological constraints on primordial black holes.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes New cosmological constraints on primordial black holes

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.821195Z

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Observation 06001e33-1960-4693-8aff-f4b2f8e96e50 · outbound

This paper cites Planck Constraint on Relic Primordial Black Holes.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Planck Constraint on Relic Primordial Black Holes

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.824953Z

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Observation 8f04fda6-6f97-48a2-a248-8c7f147b6cb6 · outbound

This paper cites CMB and BBN constraints on evaporating primordial black holes revisited.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes CMB and BBN constraints on evaporating primordial black holes revisited

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.828835Z

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Observation c238d545-fc06-4cc7-a8aa-8c006889c180 · outbound

This paper cites Evaporating Kerr black holes as probes of new physics.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Evaporating Kerr black holes as probes of new physics

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.832625Z

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Observation d969156c-9847-48e6-8f00-61d12991791a · outbound

This paper cites Evaporating primordial black holes, the string axiverse, and hot dark radiation.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Evaporating primordial black holes, the string axiverse, and hot dark radiation

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.836508Z

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Observation 192d46ed-c4b0-4a05-b906-83d825e9af65 · outbound

This paper cites Primordial black hole superradiance and evaporation in the string axiverse.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Primordial black hole superradiance and evaporation in the string axiverse

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.840642Z

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Observation ba44dd64-d6e0-4bb0-a069-3c6d8bacdc0c · outbound

This paper cites Holes in the walls: primordial black holes as a solution to the cosmological domain wall problem.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Holes in the walls: primordial black holes as a solution to the cosmological domain wall problem

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.844447Z

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Observation 956c1c3b-8c3e-48e8-8875-e4c2589bccd2 · outbound

This paper cites Gravitational wave production by Hawking radiation from rotating primordial black holes.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Gravitational wave production by Hawking radiation from rotating primordial black holes

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.848238Z

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Observation 488cb73e-9be2-4ffe-b6b8-477efd2289d4 · outbound

This paper cites Implications for primordial black holes from cosmological constraints on scalar-induced gravitational wave.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Implications for primordial black holes from cosmological constraints on scalar-induced gravitational wave

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.852259Z

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Observation 890cbbcd-b62f-4327-ba60-ed7cf163d10b · outbound

This paper cites Signatures of primordial black hole dark matter.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Signatures of primordial black hole dark matter

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.856219Z

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Observation 060510e7-49fc-4df0-8724-da318d4ca507 · outbound

This paper cites Constraints on Primordial Black Holes.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Constraints on Primordial Black Holes

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.860138Z

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Observation 159f4b0f-7ec7-4613-a0ee-795e20c7060b · outbound

This paper cites Primordial black hole constraints with Hawking radiation -- a review.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Primordial black hole constraints with Hawking radiation -- a review

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.864113Z

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Observation f6698833-9657-4343-b84d-99759cd60b39 · outbound

This paper cites Constraints on primordial black holes from Galactic gamma-ray background.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Constraints on primordial black holes from Galactic gamma-ray background

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.867902Z

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Observation 720c7cee-05fb-4e69-a9ee-7a0f30f12de5 · outbound

This paper cites Revisiting the constraints on primordial black hole abundance with the isotropic gamma ray background.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Revisiting the constraints on primordial black hole abundance with the isotropic gamma ray background

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.872091Z

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Observation 42b1dcef-6a73-4930-aee4-6d0dd2e04120 · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Unresolved cited work

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.876013Z

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Observation 98127b5f-5671-4a1e-bc99-c5b30b7bcb80 · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Unresolved cited work

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.879677Z

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Observation 8385ff3d-c07f-4c71-8dd1-a569167ce094 · outbound

This paper cites Newman and R.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Newman and R

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.883631Z

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Observation 007cbc24-1173-4c48-9c08-4b31df8f599d · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Unresolved cited work

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.888280Z

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Observation 8e128f13-cd41-43fc-a600-7ae0bf61b801 · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Unresolved cited work

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.892026Z

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Observation caf82ba1-432b-49bd-b894-815dcb293e3a · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Unresolved cited work

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.896827Z

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Observation c5ef8e5a-4e69-4086-9d6b-f22812ec51be · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Unresolved cited work

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.900675Z

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Observation 6db3cb66-b848-419a-88f7-84505363e5e3 · outbound

This paper cites an unresolved cited work.

Machine Learning-Based Analytical Expressions for Gray-Body Factors and Application to Primordial Black Holes Unresolved cited work

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:34.904384Z

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