Paper Citation Record · LEDGER

pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2207.05660.

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

pith.paper-citation-record.v1
2207.05660 v1

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Pith citing papers

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MNE: overparametrized neural evolution with applications to diffusion processes and sampling cites this paper.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 29

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Constraining hot and cold nuclear matter properties from heavy-ion collisions and deep-inelastic scattering cites this paper.

Constraining hot and cold nuclear matter properties from heavy-ion collisions and deep-inelastic scattering pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 35

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Progress toward the detection of the gravitational-wave background from stellar-mass binary black holes: a mock data challenge cites this paper.

Progress toward the detection of the gravitational-wave background from stellar-mass binary black holes: a mock data challenge pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 70

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Accelerated Sequential Posterior Inference via Reuse for Gravitational-Wave Analyses cites this paper.

Accelerated Sequential Posterior Inference via Reuse for Gravitational-Wave Analyses pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 96

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Probing Dark Energy Microphysics with kSZ Tomography cites this paper.

Probing Dark Energy Microphysics with kSZ Tomography pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 57

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Cosmic Shear constraints from HSC Year 3 with clustering calibration of the tomographic redshift distributions from DESI cites this paper.

Cosmic Shear constraints from HSC Year 3 with clustering calibration of the tomographic redshift distributions from DESI pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 39

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Cosmic Shear constraints from HSC Year 3 with clustering calibration of the tomographic redshift distributions from DESI cites this paper.

Reference 39

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Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis cites this paper.

Beyond Gaussian Assumptions: A new robust statistical framework for gravitational-wave data analysis pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 82

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Precision Kinematic Sunyaev--Zel'dovich Measurements Across Halo Mass and Redshift with DESI DR2 and ACT DR6: Part I. Luminous Red Galaxies cites this paper.

Precision Kinematic Sunyaev--Zel'dovich Measurements Across Halo Mass and Redshift with DESI DR2 and ACT DR6: Part I. Luminous Red Galaxies pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 96

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Revisiting the Exo-Mercury Candidate GJ 367 b with ESPRESSO and a Self-Consistent Tidal Distortion Model cites this paper.

Revisiting the Exo-Mercury Candidate GJ 367 b with ESPRESSO and a Self-Consistent Tidal Distortion Model pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 171

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Revisiting the role of saturation in diffractive vector meson production cites this paper.

Revisiting the role of saturation in diffractive vector meson production pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 32

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Constraining primordial oscillations and inflationary particle production with Planck, ACT DR6, and DESI DR2 cites this paper.

Constraining primordial oscillations and inflationary particle production with Planck, ACT DR6, and DESI DR2 pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 27

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First planetesimals from DESI DR1: 12 highly metal-rich white dwarfs cites this paper.

First planetesimals from DESI DR1: 12 highly metal-rich white dwarfs pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 16

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Correlated signals of ultralight scalar dark matter in pulsar timing cites this paper.

Reference 54

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Ab Initio Real-Time Gravitational-Wave Parameter Estimation cites this paper.

Ab Initio Real-Time Gravitational-Wave Parameter Estimation pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 66

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