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Paper Citation Record · LEDGER

MCMC using Hamiltonian dynamics

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:1206.1901.

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

pith.paper-citation-record.v1
1206.1901 v1

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measured 25 of 25 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:06:27.153929Z

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Source: pith, observed 2026-07-10T20:27:36.643630Z

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Pith citing papers

Observation 37075cd3-b653-4c43-afa8-33267d889a94 · inbound

dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences cites this paper.

dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences MCMC using Hamiltonian dynamics

Reference 55

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arxiv_id, observed 2026-05-15T11:35:11.021024Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1e2f0a01-1b9f-4b19-a9c1-1670fe941f9d · inbound

Parameter Estimation and Uncertainty Quantification for Systems Biology Models cites this paper.

Parameter Estimation and Uncertainty Quantification for Systems Biology Models MCMC using Hamiltonian dynamics

Reference 66

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arxiv_id, observed 2026-05-25T14:35:56.823364Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 48a55813-6fc3-4670-b054-524a6d2d555b · inbound

Generative Modeling by Estimating Gradients of the Data Distribution cites this paper.

Generative Modeling by Estimating Gradients of the Data Distribution MCMC using Hamiltonian dynamics

Reference 38

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arxiv_id, observed 2026-05-17T14:02:28.538843Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9fc778c4-0e08-4983-96eb-aa667112a2d1 · inbound

SPLIT: SE(3)-diffusion via Local Geometry-based Score Prediction for 3D Scene-to-Pose-Set Matching Problems cites this paper.

SPLIT: SE(3)-diffusion via Local Geometry-based Score Prediction for 3D Scene-to-Pose-Set Matching Problems MCMC using Hamiltonian dynamics

Reference 28

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no resolver link, observed 2026-08-12T20:06:27.153929Z

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source=pdf_text observed=2026-08-12T20:06:27.153929Z digest=sha256:dd43aaaf72bbf8f5888219fd5a3522c2e9b339424c39089997d0631a9f46116c

Observation c703a48a-a6d9-4ccc-806f-fb597906d228 · inbound

CMBAnalysis: A Modern Framework for High-Precision Cosmic Microwave Background Analysis cites this paper.

CMBAnalysis: A Modern Framework for High-Precision Cosmic Microwave Background Analysis MCMC using Hamiltonian dynamics

Reference 42

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no resolver link, observed 2026-08-12T17:54:08.235322Z

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Observation f50cdab9-af56-41fa-830b-80d51e25d4d2 · inbound

Exponential speed up in Monte Carlo sampling through Radial Updates cites this paper.

Exponential speed up in Monte Carlo sampling through Radial Updates MCMC using Hamiltonian dynamics

Reference 1

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no resolver link, observed 2026-08-12T11:34:47.174077Z

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Observation c396b0ed-74d2-4a85-8ef4-ec3f9c2fc22c · inbound

Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks cites this paper.

Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks MCMC using Hamiltonian dynamics

Reference 29

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no resolver link, observed 2026-08-11T05:40:17.422266Z

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source=arxiv_source observed=2026-08-11T05:40:17.422266Z digest=sha256:9dfa6a9257a515ce13313503dd9df5ca26afeb2ab723f0442a108adf7afef5c3

Observation 89b377c2-9fe0-471a-b8af-c7dfd3d2ee75 · inbound

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence cites this paper.

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence MCMC using Hamiltonian dynamics

Reference 35

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no resolver link, observed 2026-08-10T22:09:56.326589Z

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Observation 3673e8d9-393a-4840-98c3-877b78678c48 · inbound

Topic Modeling for Free-Response Text Data from a Complex Survey cites this paper.

Topic Modeling for Free-Response Text Data from a Complex Survey MCMC using Hamiltonian dynamics

Reference 9

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no resolver link, observed 2026-08-10T15:40:47.204384Z

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source=arxiv_source observed=2026-08-10T15:40:47.204384Z digest=sha256:2101aabdfae1936bcb182a8128e7c14f2aad4859cfdcbef84e5328c883e1c618

Observation bcb63145-7b17-41f1-b302-d4610cd01c70 · inbound

The Physicist's Guide to the HMC cites this paper.

The Physicist's Guide to the HMC MCMC using Hamiltonian dynamics

Reference 7

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no resolver link, observed 2026-08-09T21:19:34.616261Z

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source=pdf_text observed=2026-08-09T21:19:34.616261Z digest=sha256:305fbdc6ff7da5f3aa1dae3225ca7e67a13a92ec8b65bd687eae29575e4f6c09

Observation f12ef18d-e167-47a2-bb1a-d3479e7f2e72 · inbound

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference cites this paper.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference MCMC using Hamiltonian dynamics

Reference 31

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no resolver link, observed 2026-08-09T20:14:52.248838Z

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source=arxiv_source observed=2026-08-09T20:14:52.248838Z digest=sha256:7a013cfa5aa0dc2d2ac17a04c5c37d6f3078c55ecee14bb381bdc5a911514560

Observation 2edf033e-1bd9-4f7d-b356-68a357cf22b0 · inbound

PolyStan: PolyChord nested sampling and Bayesian evidences for Stan models cites this paper.

PolyStan: PolyChord nested sampling and Bayesian evidences for Stan models MCMC using Hamiltonian dynamics

Reference 21

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no resolver link, observed 2026-08-07T14:49:42.283199Z

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source=arxiv_source observed=2026-08-07T14:49:42.283199Z digest=sha256:bc7b0e3637de546320d25c568c540d2284a715776cc1d21635ec793a6881ac0f

Observation d0b08f0a-bf53-4b05-9f84-fd9d8611bd73 · inbound

Integrating tumor burden with survival outcome for treatment effect evaluation in oncology trials cites this paper.

Integrating tumor burden with survival outcome for treatment effect evaluation in oncology trials MCMC using Hamiltonian dynamics

Reference 14

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no resolver link, observed 2026-08-07T05:43:54.101189Z

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source=arxiv_source observed=2026-08-07T05:43:54.101189Z digest=sha256:e9955303cd953e7e4de138192082f8935f45a3cb8dfc76dd67835493f1f83d27

Observation f2f837b3-ac10-4f45-8bc9-9f3da0410f39 · inbound

Bayesian integrative factor analysis methods, with application in nutrition and genomics data cites this paper.

Bayesian integrative factor analysis methods, with application in nutrition and genomics data MCMC using Hamiltonian dynamics

Reference 52

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Observation 6a98015a-fc32-4541-a58b-3593efa8bc5a · inbound

Detectability and Parameter Estimation for Einstein Telescope Configurations with GWJulia cites this paper.

Detectability and Parameter Estimation for Einstein Telescope Configurations with GWJulia MCMC using Hamiltonian dynamics

Reference 45

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source=pdf_text observed=2026-08-06T22:29:59.551080Z digest=sha256:2de960e15f047a59296ccb02ee7a2aaed5ea1dd3d5382971d7c4c2f99e4872c3

Observation d9b63588-c186-482d-8995-735c04e76570 · inbound

R2 priors for Grouped Variance Decomposition in High-dimensional Regression cites this paper.

R2 priors for Grouped Variance Decomposition in High-dimensional Regression MCMC using Hamiltonian dynamics

Reference 110

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no resolver link, observed 2026-08-06T17:09:45.591535Z

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Observation b244405a-d210-4f34-88f3-0d53c78ff8fc · inbound

Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations cites this paper.

Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations MCMC using Hamiltonian dynamics

Reference 119

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arxiv_id, observed 2026-05-19T02:46:59.673344Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f9b61363-05d7-4b48-8145-69711c288086 · inbound

DISCO-DJ II: a differentiable particle-mesh code for cosmology cites this paper.

DISCO-DJ II: a differentiable particle-mesh code for cosmology MCMC using Hamiltonian dynamics

Reference 45

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Observation 4e6f22f9-489f-43fa-adf3-733db11f0d0f · inbound

The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone cites this paper.

The Ray Tracing Sampler: Bayesian Sampling of Neural Networks for Everyone MCMC using Hamiltonian dynamics

Reference 46

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Observation 0eca2eac-4a2b-4036-b05a-27ce68dcef56 · inbound

Stochastic gravitational-wave background search using data from five pulsar timing arrays cites this paper.

Stochastic gravitational-wave background search using data from five pulsar timing arrays MCMC using Hamiltonian dynamics

Reference 53

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arxiv_id, observed 2026-05-17T00:08:43.293284Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9915c945-1554-4e43-a2c5-b8f15e74051c · inbound

Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes cites this paper.

Diffusion-based Annealed Boltzmann Generators : benefits, pitfalls and hopes MCMC using Hamiltonian dynamics

Reference 2001

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no resolver link, observed 2026-08-03T07:12:56.195283Z

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Observation 6a1fc2a1-af85-45d3-8a96-e4c69ea506fd · inbound

Diffusion model for SU(N) gauge theories cites this paper.

Diffusion model for SU(N) gauge theories MCMC using Hamiltonian dynamics

Reference 17

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arxiv_id, observed 2026-05-11T22:06:14.376393Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b27ab56f-a858-410a-9352-f151339c822d · inbound

High-Dimensional Bayesian Calibration of Expensive Nuclear Models with Differentiable Emulation cites this paper.

High-Dimensional Bayesian Calibration of Expensive Nuclear Models with Differentiable Emulation MCMC using Hamiltonian dynamics

Reference 21

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arxiv_id, observed 2026-06-28T20:42:37.193171Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4fbe6270-9cf5-4b1f-87de-1668c4aef623 · inbound

A new framework for lightning-fast gravitational wave analysis of pulsar timing data cites this paper.

A new framework for lightning-fast gravitational wave analysis of pulsar timing data MCMC using Hamiltonian dynamics

Reference 105

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local_arxiv, observed 2026-07-10T20:27:36.644797Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2fc60450-5041-46ad-83b6-fc988e04d342 · inbound

Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence cites this paper.

Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence MCMC using Hamiltonian dynamics

Reference 68

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local_arxiv, observed 2026-07-09T21:46:34.602590Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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