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Paper Citation Record · LEDGER

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime

As of 22 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 3 inbound Pith citation observations for arXiv:2411.11690.

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

pith.paper-citation-record.v1
2411.11690 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:18:47.502522Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:22:55.372767Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:41:11.954980Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e79d180a-fe72-4a71-b39b-894cec5281f1 · outbound

This paper cites Equation of State Calculations by Fast Computing Machines,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Equation of State Calculations by Fast Computing Machines,

Reference 1

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Observation b7cd53b4-37a6-4f13-b9cd-44ec33b6ccee · outbound

This paper cites Time-Dependent Statistics of the Ising Model,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Time-Dependent Statistics of the Ising Model,

Reference 2

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Observation 18188601-a0b7-47a6-86ad-8162d64f73a9 · outbound

This paper cites Monte Carlo study of quantized SU(2) gauge theory,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Monte Carlo study of quantized SU(2) gauge theory,

Reference 3

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Observation 1ad3a889-a06a-42bc-a399-bbb6aa1c0c4d · outbound

This paper cites Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images,

Reference 4

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Observation e4723b40-80b7-4ebd-8126-bcc4536ce7c6 · outbound

This paper cites Hybrid Monte-Carlo,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Hybrid Monte-Carlo,

Reference 5

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Observation 8cd55b0a-94ce-45b9-888c-f4a31f662dd1 · outbound

This paper cites Event-chain Monte Carlo algorithms for hard-sphere systems,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Event-chain Monte Carlo algorithms for hard-sphere systems,

Reference 6

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Observation 08979372-04ae-42b7-a53d-e4245eac2c85 · outbound

This paper cites Generalized event-chain Monte Carlo: Con- structing rejection-free global-balance algorithms from infinitesimal steps,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Generalized event-chain Monte Carlo: Con- structing rejection-free global-balance algorithms from infinitesimal steps,

Reference 7

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Observation 76576b46-a391-4553-970a-3c8cfb0d8ef2 · outbound

This paper cites Event-chain Monte Carlo with factor fields,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Event-chain Monte Carlo with factor fields,

Reference 8

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9ffdb04f-b549-4be0-adff-75269095034e · outbound

This paper cites Lifted TASEP: A Solvable Paradigm for Speeding up Many- Particle Markov Chains,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Lifted TASEP: A Solvable Paradigm for Speeding up Many- Particle Markov Chains,

Reference 9

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Observation 64206b7d-99e0-4f7c-9c3d-d29208fece40 · outbound

This paper cites MCMC using Hamiltonian dynamics,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime MCMC using Hamiltonian dynamics,

Reference 10

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Observation 398898c1-000e-48ee-83fb-ead5114a3c4d · outbound

This paper cites Krauth, Statistical Mechanics: Algorithms and Computations.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Krauth, Statistical Mechanics: Algorithms and Computations

Reference 11

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Observation bbf94ac8-d737-4ba4-a74c-1b1e9b0ae769 · outbound

This paper cites Mixing Points on a Circle,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Mixing Points on a Circle,

Reference 12

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Observation cddb8eb2-e507-4eec-8d4e-4d978f7a582c · outbound

This paper cites Sur certains processus stochastiques homog` enes.,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Sur certains processus stochastiques homog` enes.,

Reference 13

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Observation e2edf89f-4923-42a8-8ff3-7ba554a2aa3e · outbound

This paper cites Path-integral computation of superfluid densities,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Path-integral computation of superfluid densities,

Reference 14

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Observation b3e7dfda-a188-4081-8749-928a5d497c58 · outbound

This paper cites Quantum Monte Carlo Calculations for a Large Number of Bosons in a Har- monic Trap,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Quantum Monte Carlo Calculations for a Large Number of Bosons in a Har- monic Trap,

Reference 15

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Observation abe94ea9-20e9-47e6-ba6e-c8aed642ceb1 · outbound

This paper cites Glasserman, Monte Carlo Methods in Financial Engineering.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Glasserman, Monte Carlo Methods in Financial Engineering

Reference 16

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Observation cf3f0591-f25c-4f63-9c41-0b1c5bcd4726 · outbound

This paper cites an unresolved cited work.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Unresolved cited work

Reference 17

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Observation ea500a37-cc85-429f-9491-dab7cfa95747 · outbound

This paper cites Concepts in Monte Carlo sampling,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Concepts in Monte Carlo sampling,

Reference 18

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Observation 465c7ec1-25f9-4699-be97-9c3c60096e05 · outbound

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Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Unresolved cited work

Reference 19

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Observation d3a485f8-7995-4b0f-b838-8e028ebc6010 · outbound

This paper cites Dynamical systems with elastic reflections,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Dynamical systems with elastic reflections,

Reference 20

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Observation 1abb9fe7-85f7-41aa-a9aa-20f08c04fb86 · outbound

This paper cites Proof of the Boltzmann-Sinai ergodic hypothesis for typical hard disk sys- tems,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Proof of the Boltzmann-Sinai ergodic hypothesis for typical hard disk sys- tems,

Reference 21

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Observation 5d678ed9-d78a-432a-9fb7-dde67ef9d62c · outbound

This paper cites Phase Transition for a Hard Sphere System,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Phase Transition for a Hard Sphere System,

Reference 22

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Observation d6f50f2d-ba06-4e0f-afa3-6355b0650639 · outbound

This paper cites Phase Transition in Elastic Disks,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Phase Transition in Elastic Disks,

Reference 23

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Observation 31b0493e-2d4e-41a7-aabf-2bbb54e60299 · outbound

This paper cites Leimkuhler and S.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Leimkuhler and S

Reference 24

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Observation 1e43d7fe-a956-4faf-a90d-f7b401723c00 · outbound

This paper cites Monitoring energy drift with shadow Hamiltoni- ans,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Monitoring energy drift with shadow Hamiltoni- ans,

Reference 25

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Observation 3cb3cdb2-ca7c-427f-8f11-c090717cb2d3 · outbound

This paper cites An analysis of the accuracy of Langevin and molecular dynamics algorithms,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime An analysis of the accuracy of Langevin and molecular dynamics algorithms,

Reference 26

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a7ec252f-6975-4865-9bae-07c5b6982a7c · outbound

This paper cites Practical Construction of Modified Hamiltonians,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Practical Construction of Modified Hamiltonians,

Reference 27

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e05fcdae-f0aa-4ce9-beab-580db2729f32 · outbound

This paper cites an unresolved cited work.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8416f503-d6fb-4dec-b347-0953ea7d86e9 · outbound

This paper cites A fast algorithm for particle simulations,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime A fast algorithm for particle simulations,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9a360af4-5e69-4519-8266-2fb10e198d47 · outbound

This paper cites Fast, approximation-free molecular simulation of the SPC/Fw water model using non-reversible Markov chains,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Fast, approximation-free molecular simulation of the SPC/Fw water model using non-reversible Markov chains,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d3d217e6-e57d-4532-a6ab-3d338e309fe7 · outbound

This paper cites Fast sampling for particle systems with long-range potentials.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Fast sampling for particle systems with long-range potentials

Reference 31

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c3275d2c-ff20-4488-82eb-af083e91105f · outbound

This paper cites The good, the bad and the user in soft matter simulations,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime The good, the bad and the user in soft matter simulations,

Reference 32

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 84efac3d-3bca-4596-9459-4e06280b120c · outbound

This paper cites Analysis of a nonreversible Markov chain sampler,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Analysis of a nonreversible Markov chain sampler,

Reference 33

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:46.972301Z digest=sha256:99170e39268a4cb1f57945402bdc0f89ff4369b4819010a062e6c92367c14d52

Observation 1d4d33d7-6a20-431f-a99b-3355482e4a31 · outbound

This paper cites Lifting Markov Chains to Speed up Mixing,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Lifting Markov Chains to Speed up Mixing,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:48.493206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:46.981543Z digest=sha256:f3c188433b5d1f22f54fe10880e9929ce9369f58a188c05cd40ecc675f7c9350

Observation 6eb63bc9-a66e-41b3-b252-5deb1b1db217 · outbound

This paper cites Event-Chain Monte Carlo: Foundations, Applications, and Prospects,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Event-Chain Monte Carlo: Foundations, Applications, and Prospects,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:48.428359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:46.987956Z digest=sha256:55931874c35b6ac1cf774f516efff5d10d4c6e85851f7fc973cb663a889b50d8

Observation ab985075-69a5-4df4-860b-baba4f516bce · outbound

This paper cites Rejection-free Monte Carlo sampling for general potentials,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Rejection-free Monte Carlo sampling for general potentials,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:48.403817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:46.996291Z digest=sha256:5c6cfc0c4e9ddd9964ca2e92c05eacfb8a5804a0815aaba236b0fea6607be39e

Observation 66afee35-d744-40f2-8ecc-e4743d263c40 · outbound

This paper cites All-atom computations with irre- versible Markov chains,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime All-atom computations with irre- versible Markov chains,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:48.383068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.006916Z digest=sha256:357e6b40eb78f52bbb62b3619386814342f59459063d47dce58ec3eb90565041

Observation 4928ee4b-45f8-4ab2-913a-a7c310827d40 · outbound

This paper cites JeLLyFysh- Version1.0 — a Python application for all-atom event-chain Monte Carlo,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime JeLLyFysh- Version1.0 — a Python application for all-atom event-chain Monte Carlo,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:48.364009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.017341Z digest=sha256:afc5ec8287804d4683ff4180d4bb50cacb14c2ccdd053944c0430c6c1596de31

Observation d1d46d1c-ec20-4f96-bd8b-b563566769a0 · outbound

This paper cites Erignoux, W.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Erignoux, W

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:48.344838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.025196Z digest=sha256:104078902576898d404bf3636aa55b1c5cc0f5ab44b28442e4eb769089b2f368

Observation e33add36-fbcd-4f1e-8f67-2270311a87f5 · outbound

This paper cites Efficient equilibration of hard spheres with Newtonian event chains,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Efficient equilibration of hard spheres with Newtonian event chains,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:48.324596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.034504Z digest=sha256:750d2b693435c563d0f955af4d9a571c157535a95f080ebb4260faa425c401b8

Observation 877b1062-98c2-47c0-bc93-9c78f9498929 · outbound

This paper cites Forward Event-Chain Monte Carlo: Fast Sampling by Randomness Control in Irreversible Markov Chains,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Forward Event-Chain Monte Carlo: Fast Sampling by Randomness Control in Irreversible Markov Chains,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:48.307246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.042144Z digest=sha256:f5dba75fe55d59e8e8fc01fa82813cbc7bd600a48b1e729d055b4a6731ce0f12

Observation 52ebc40d-a3c4-4b69-8768-a10e4e6a89a9 · outbound

This paper cites Sparse Hard-Disk Packings and Local Markov Chains,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Sparse Hard-Disk Packings and Local Markov Chains,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:48.263340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.048195Z digest=sha256:01dab09aa0a97c1d00f46d040644e132588ca0b86c7c670963f468de9d84ed80

Observation 6f7963ac-342a-47ad-81a7-b5fea47143b2 · outbound

This paper cites Piecewise-Deterministic Markov Processes: A General Class of Non- Diffusion Stochastic Models,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Piecewise-Deterministic Markov Processes: A General Class of Non- Diffusion Stochastic Models,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:48.184934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.110931Z digest=sha256:db98c3640344901567e3c500968f9f5568b2d103bd8272ac28f0ec2caadb828d

Observation 4d7ce633-27aa-400b-ad61-92fbcf27ce9f · outbound

This paper cites Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Piecewise Deterministic Markov Processes for Scalable Monte Carlo on Restricted Domains,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:48.050699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.196785Z digest=sha256:ad6871a36a36735ffadb51aab09166c7c242ea25c1ef000b8e3d0cd7e99b68cc

Observation d5c8c30c-aff3-49ad-997e-8be395374b01 · outbound

This paper cites The Zig-Zag process and super-efficient sam- pling for Bayesian analysis of big data,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime The Zig-Zag process and super-efficient sam- pling for Bayesian analysis of big data,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:47.984675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.285807Z digest=sha256:e2efc7946f152981ecc832710ad2f9a886850c508d539660c17b49cdb2c11520

Observation 0f7f3754-5947-4322-a279-ce6eeb11c91b · outbound

This paper cites The surface statistics of a granular aggregate,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime The surface statistics of a granular aggregate,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:47.961672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.378927Z digest=sha256:0dd65e65d7b066b3322a0cae0efa0f51783330a06de19ab9dc982b68df141502

Observation cc652943-915f-416f-90cf-a92451204fff · outbound

This paper cites Proof of Aldous’ spectral gap conjecture,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Proof of Aldous’ spectral gap conjecture,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:47.940700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.468288Z digest=sha256:07f89b683e58770fbd24836ec6f31c279a7ed806ca95066f4279b1a418014725

Observation 1ee3bb14-b166-47e8-9d81-2d9691662576 · outbound

This paper cites Irreversible Local Markov Chains with Rapid Convergence towards Equilibrium,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Irreversible Local Markov Chains with Rapid Convergence towards Equilibrium,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:47.919434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.473861Z digest=sha256:b4067d807b548b8ff7f55d9c5e43a68dc29aa9dbdabfc2ffdbad9a8306abe926

Observation b6b58413-9d71-4a69-9bbf-8961727991bc · outbound

This paper cites Two-Step Melting in Two Dimensions: First-Order Liquid- Hexatic Transition,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Two-Step Melting in Two Dimensions: First-Order Liquid- Hexatic Transition,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:47.900422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.479822Z digest=sha256:3e0f920d011b6a69ec046c11bd9dd7648d640abf377dd36fa893ce36a9eed166

Observation 1ac69ca4-24b2-4122-b69d-a6459d89be9e · outbound

This paper cites Hard-disk pressure computations—a historic perspective,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Hard-disk pressure computations—a historic perspective,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:47.882303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.486405Z digest=sha256:23f0fee39b0ed00c76ca717d0b044c1c1e5b5bb6fa3c3c92f50966eff0c41d4c

Observation 45c91440-296e-494a-a3cc-b5c5519f30dc · outbound

This paper cites Non-reversible Monte Carlo: An example of “true.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Non-reversible Monte Carlo: An example of “true

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:47.864138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.491972Z digest=sha256:06fc9f571595d7eccdb4a2ae65aef377d4ed566499cd7077be67bbac9e193ec3

Observation 9128d7d8-a01d-4a3a-9a5e-2b79186f1849 · outbound

This paper cites Event-chain Monte Carlo and the true self-avoiding walk.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Event-chain Monte Carlo and the true self-avoiding walk

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-12T18:18:47.554427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.497063Z digest=sha256:0fadece6ddafd85a17c333f779ed8d16259f6cb5a67e2909ea7e8a950531635e

Observation 336912ec-06e6-42aa-955a-9d8876ec72ba · outbound

This paper cites Large-scale dynamics of event-chain Monte Carlo,.

Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime Large-scale dynamics of event-chain Monte Carlo,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:18:47.755612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-12T18:18:47.502522Z digest=sha256:5d04bc6406c12152efa144b949cf86e88c72d90b882fc9746cbe0b1b27d835fb

Pith citing papers

Observation 2ee9aa34-a77e-4b28-a010-e120e56e8583 · inbound

Emergent electrostatics in planar XY spin models: the bridge connecting topological order with broken $U(1)$ symmetry cites this paper.

Emergent electrostatics in planar XY spin models: the bridge connecting topological order with broken $U(1)$ symmetry Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-11T16:22:55.372767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:22:55.372767Z digest=sha256:c220c5833089fc2b641e690449b0fb3e23c1c2b87411d834fb9e743e6e67db72

Observation 0ed9c0c1-74ee-4cc3-ae0e-04f57d0baa65 · inbound

On Accelerated Mixing of the No-U-turn Sampler cites this paper.

On Accelerated Mixing of the No-U-turn Sampler Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:41:12.033540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T16:41:11.007013Z digest=sha256:48870e8bfaad65f1a2a4f23bf9043a585a87993ae8043f4a726d28655999aa20

Observation f85dd350-f77b-4c72-ac93-3e4559940d62 · inbound

Relaxation times of non-reversible Markov processes cites this paper.

Relaxation times of non-reversible Markov processes Hamiltonian Monte Carlo vs. event-chain Monte Carlo: an appraisal of sampling strategies beyond the diffusive regime

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-14T09:10:02.990365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:10:02.990365Z digest=sha256:798c62dd5fdb9d8eee82b50dbf10244b9be3429b842cf7e819ea70824a1d246c