Paper Citation Record · LEDGER

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.07837.

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

pith.paper-citation-record.v1
2608.07837 v1

Coverage vector

measured 33 of 33 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T00:57:59.816498Z

measured 33 of 33 standing notices

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation a83bfb7e-31f8-46c0-8bc5-58fd942ce3b4 · outbound

This paper cites Brooks, A.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Brooks, A

Reference 1

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Observation 87b66e8a-17bf-4616-97ff-7846c6b3a3f4 · outbound

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Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Unresolved cited work

Reference 2

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Observation ac02bece-7600-4102-a464-194e0777f657 · outbound

This paper cites Equation of state calculations by fast computing machines,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Equation of state calculations by fast computing machines,

Reference 3

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Observation 88912d2d-b788-4605-abbd-40ff210d6d19 · outbound

This paper cites Monte Carlo sampling methods using Markov chains and their applications,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Monte Carlo sampling methods using Markov chains and their applications,

Reference 4

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Observation 78f1c019-cc67-4c21-b2d6-dbc19bb4710d · outbound

This paper cites Simulation-based Inference via Langevin Dynamics with Score Matching.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Simulation-based Inference via Langevin Dynamics with Score Matching

Reference 5

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Observation cab16d17-7b1d-46b7-9588-c41e344a0059 · outbound

This paper cites Particle Markov chain Monte Carlo methods,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Particle Markov chain Monte Carlo methods,

Reference 6

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Observation 90cc1cd3-ddcd-434b-a77b-9a0015294460 · outbound

This paper cites Stan: A probabilistic programming language,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Stan: A probabilistic programming language,

Reference 7

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Observation 2c984302-3bb0-4938-b71b-d809a22cfaf5 · outbound

This paper cites MrBayes 3: Bayesian phylogenetic inference under mixed models,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements MrBayes 3: Bayesian phylogenetic inference under mixed models,

Reference 8

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Observation 9bb2b42f-dfac-446e-b56d-eea25492548f · outbound

This paper cites MCMC using Hamiltonian dynamics,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements MCMC using Hamiltonian dynamics,

Reference 9

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Observation 6126ecdc-6b86-43d5-8cbd-8b22679c26c5 · outbound

This paper cites Bayesian learning via stochastic gradient Langevin dynamics,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Bayesian learning via stochastic gradient Langevin dynamics,

Reference 10

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Observation f4d16e4d-249b-4158-bbdd-2e8a63f4131b · outbound

This paper cites Exponential convergence of Langevin distribu- tions and their discrete approximations,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Exponential convergence of Langevin distribu- tions and their discrete approximations,

Reference 11

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Observation ecbf9bb9-2a68-4914-8513-a89864cdc252 · outbound

This paper cites Optimal scaling of discrete approximations to Langevin diffusions,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Optimal scaling of discrete approximations to Langevin diffusions,

Reference 12

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Observation 925d3f1b-3c2e-432a-aa8e-b216845ecaa4 · outbound

This paper cites Underdamped Langevin MCMC: A non-asymptotic analysis,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Underdamped Langevin MCMC: A non-asymptotic analysis,

Reference 13

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Observation 1b8a94ca-f6e3-4b81-90f1-7e45f3068817 · outbound

This paper cites Langevin Monte Carlo with SPSA-approximated gradients,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Langevin Monte Carlo with SPSA-approximated gradients,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:58:00.195073Z

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Observation 01379355-8eb9-4af7-b4dd-47c8d9c26cc5 · outbound

This paper cites Numerical differentiation of noisy, nonsmooth data,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Numerical differentiation of noisy, nonsmooth data,

Reference 15

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Observation 9de0c69c-4b4a-4391-a675-ddee76b6f19f · outbound

This paper cites Multivariate stochastic approximation using a simultaneous perturba- tion gradient approximation,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Multivariate stochastic approximation using a simultaneous perturba- tion gradient approximation,

Reference 16

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Observation 3ceb2e6a-d914-4413-9606-670188cb887e · outbound

This paper cites A comparison of the finite difference and simultaneous per- turbation gradient estimation methods with noisy function evaluations,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements A comparison of the finite difference and simultaneous per- turbation gradient estimation methods with noisy function evaluations,

Reference 17

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Observation 549e8d7f-367a-4714-a1b0-cae68efe75db · outbound

This paper cites Developments in stochastic optimization algorithms with gradient ap- proximations based on function measurements,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Developments in stochastic optimization algorithms with gradient ap- proximations based on function measurements,

Reference 18

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Observation 18f10050-6770-4ba8-8936-02f22d8b2ae8 · outbound

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Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Unresolved cited work

Reference 19

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Observation ca691cb6-f464-491e-bead-93944da81a2f · outbound

This paper cites Theoretical Study and Comparison of SPSA and RDSA Algorithms.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Theoretical Study and Comparison of SPSA and RDSA Algorithms

Reference 20

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Observation 42283ca8-fd7f-45e2-a62e-ced6857ad2de · outbound

This paper cites Formal comparison of simultaneous perturba- tion stochastic approximation and random direction stochastic approximation,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Formal comparison of simultaneous perturba- tion stochastic approximation and random direction stochastic approximation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:58:00.098626Z

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Observation 7db63404-7508-4073-9842-c58e06543479 · outbound

This paper cites Langevin Monte Carlo: random coordinate descent and variance reduction,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Langevin Monte Carlo: random coordinate descent and variance reduction,

Reference 22

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Observation 6bf2f612-26a9-4ba3-85fa-c0f4b19b80ee · outbound

This paper cites A one-measurement form of simultaneous perturbation stochastic ap- proximation,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements A one-measurement form of simultaneous perturbation stochastic ap- proximation,

Reference 23

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Observation 12daae11-1aee-4aa4-88c4-561385bb6606 · outbound

This paper cites One-point gradient estimators for zeroth-order stochastic gra- dient Langevin dynamics,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements One-point gradient estimators for zeroth-order stochastic gra- dient Langevin dynamics,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:58:00.047577Z

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Observation 87d33234-ca45-4dd5-bfca-283cec3a7578 · outbound

This paper cites Derivative-free Bayesian inversion using multiscale dynamics,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Derivative-free Bayesian inversion using multiscale dynamics,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:58:00.030314Z

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Observation e4fd9afd-94ab-41f1-81b3-502035584525 · outbound

This paper cites Unlocking the power of differentially private zeroth-order optimization for fine-tuning LLMs,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Unlocking the power of differentially private zeroth-order optimization for fine-tuning LLMs,

Reference 26

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Observation 9cec8065-9768-4108-aef7-d580ba9ba9ce · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Generative modeling by estimating gradients of the data distribution,

Reference 27

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Observation 39a925eb-7a4a-42f5-a585-6adc16dcc61e · outbound

This paper cites User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements User-friendly guarantees for the Langevin Monte Carlo with inaccurate gradient,

Reference 28

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Observation ab5cf9fe-65bb-42e8-af02-ef6b94585433 · outbound

This paper cites Hiruntiaranakul,SPSA-augmented Hamiltonian Monte Carlo, Master’s thesis, Johns Hopkins University, Baltimore, MD, USA, 2024.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Hiruntiaranakul,SPSA-augmented Hamiltonian Monte Carlo, Master’s thesis, Johns Hopkins University, Baltimore, MD, USA, 2024

Reference 29

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Observation a2ef8bc7-513f-4458-b131-71b1aefa6b17 · outbound

This paper cites Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:57:59.951099Z

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Observation 0f10130d-5c6c-44fd-8556-7cfab89cef35 · outbound

This paper cites Preliminaryresultsonnon-Bernoullidistributionofperturbationsforsimul- taneous perturbation stochastic approximation,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Preliminaryresultsonnon-Bernoullidistributionofperturbationsforsimul- taneous perturbation stochastic approximation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:57:59.934609Z

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

Observation 0c1b98c3-6643-4468-a1a0-633b8a5540de · outbound

This paper cites Learning rules for neuro-controller via si- multaneous perturbation,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Learning rules for neuro-controller via si- multaneous perturbation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:57:59.917930Z

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.

Observation b4ec957d-bf85-4fae-b437-495fe16260d8 · outbound

This paper cites Nonasymptotic convergence analysis for the un- adjusted Langevin algorithm,.

Zeroth-Order Langevin Monte Carlo via SPSA under Noisy Function Measurements Nonasymptotic convergence analysis for the un- adjusted Langevin algorithm,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:57:59.900680Z

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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