Paper Citation Record · LEDGER

A Conceptual Introduction to Markov Chain Monte Carlo Methods

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:1909.12313.

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

pith.paper-citation-record.v1
1909.12313 v2

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measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:03:51.563243Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

54
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 52fc7bab-1f5f-4c48-963a-d4e98472788b · inbound

Hydroxyl Lines and Moonlight: a High Spectral Resolution Investigation of NIR skylines from Maunakea to guide NIR spectroscopic surveys cites this paper.

Hydroxyl Lines and Moonlight: a High Spectral Resolution Investigation of NIR skylines from Maunakea to guide NIR spectroscopic surveys A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 47

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Observation c333fe48-0397-4a8d-a802-298a1cc8bb5b · inbound

hep-aid: A Python Library for Sample Efficient Parameter Scans in Beyond the Standard Model Phenomenology cites this paper.

hep-aid: A Python Library for Sample Efficient Parameter Scans in Beyond the Standard Model Phenomenology A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T05:20:33.785287Z

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Observation 326f6a83-9c2e-44f9-8158-63a99a01ecb8 · inbound

DLScanner: A parameter space scanner package assisted by deep learning methods cites this paper.

DLScanner: A parameter space scanner package assisted by deep learning methods A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 1

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Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning cites this paper.

Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 50

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Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model cites this paper.

Normalizing Flow-Assisted Nested Sampling on Type-II Seesaw Model A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 2

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Observation cbfbd8e6-be0b-4467-9d3a-35e92b25f75c · inbound

Learning the nature of viscoelasticity in geologic materials with MCMC cites this paper.

Learning the nature of viscoelasticity in geologic materials with MCMC A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T12:03:51.563243Z

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Observation f73ce8ac-c4c0-43b9-84a6-3c0d8b7a8c3d · inbound

Constraints on dark matter self-interaction from velocity distribution function in isolated halos cites this paper.

Constraints on dark matter self-interaction from velocity distribution function in isolated halos A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 78

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Observation 3d9429f6-18fa-47d7-9bed-b78c0956fb7f · inbound

RESOLVE: Rare Event Surrogate Likelihood for Gravitational Wave Paleontology Parameter Estimation cites this paper.

RESOLVE: Rare Event Surrogate Likelihood for Gravitational Wave Paleontology Parameter Estimation A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 50

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Observation ebb54eb6-c68a-40e8-a23b-374c21261c14 · inbound

Calibration of Quantum Devices via Robust Statistical Methods cites this paper.

Calibration of Quantum Devices via Robust Statistical Methods A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 2020

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Observation a0cbe62c-cec6-43a0-b736-a7635492e6b2 · inbound

From Global Climate Models (GCMs) to Exoplanet Spectra with the Global Emission Spectra (GlobES) cites this paper.

From Global Climate Models (GCMs) to Exoplanet Spectra with the Global Emission Spectra (GlobES) A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 71

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Observation 80d7db81-8ae6-419d-a107-ced543ff1453 · inbound

Big Bang Nucleosynthesis constraints on the cosmological evolution in a Universe with a Weylian Boundary cites this paper.

Big Bang Nucleosynthesis constraints on the cosmological evolution in a Universe with a Weylian Boundary A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 131

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Observation 34bd8d0f-c260-4e76-aaba-dafd987fb3a1 · inbound

Unveiling the nature of barium stars. I. Asteroseismic masses and the evolutionary link between Ba dwarfs and giants cites this paper.

Unveiling the nature of barium stars. I. Asteroseismic masses and the evolutionary link between Ba dwarfs and giants A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 20

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Observation 88c42310-bffb-43fd-b081-3c857dab7cc0 · inbound

Modelling Dissipative Dynamics of r-mode Instability in Hybrid Stars cites this paper.

Modelling Dissipative Dynamics of r-mode Instability in Hybrid Stars A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T01:12:55.239294Z

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Observation bcd66fc5-fc07-4b36-9338-c5c5a33af21f · inbound

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software cites this paper.

The Curious Case of the Default Settings: Evaluating Default Performance of Variational Inference Software A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-06T00:16:00.677479Z

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Observation 48cc1f60-f649-4feb-8831-9677c772ecc8 · inbound

Kings of the Milky Way: A Homogeneous Gaia DR3 Analysis of King Open Clusters and the Galactic Disc Metallicity Gradient cites this paper.

Kings of the Milky Way: A Homogeneous Gaia DR3 Analysis of King Open Clusters and the Galactic Disc Metallicity Gradient A Conceptual Introduction to Markov Chain Monte Carlo Methods

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-12T00:23:45.205263Z

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