Paper Citation Record · LEDGER

Regime-Switching Langevin Monte Carlo Algorithms

As of 10 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2509.00941.

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

pith.paper-citation-record.v1
2509.00941 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:14:54.752431Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T09:01:49.886920Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T09:04:32.597998Z

Reference resolution

57 of 57 outbound references displayed

verified exact2
verified fuzzy52
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External citation measurements

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Outbound references

Observation 26f54e2f-7a91-46d7-bac9-c00db9d5af9d · outbound

This paper cites An introduction to MCMC for machine learning.

Regime-Switching Langevin Monte Carlo Algorithms An introduction to MCMC for machine learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:58.464484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6efc635b-4283-4058-8c83-b37d9a13093c · outbound

This paper cites Basak, Arnab Bisi, and Mrinal K.

Regime-Switching Langevin Monte Carlo Algorithms Basak, Arnab Bisi, and Mrinal K

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:58.410600Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e5b6279-87e7-4e9a-8d13-1d0e0fb1510d · outbound

This paper cites Rate of convergence for ergodic continuous M arkov processes: L ypaunov versus P oincar\' e.

Regime-Switching Langevin Monte Carlo Algorithms Rate of convergence for ergodic continuous M arkov processes: L ypaunov versus P oincar\' e

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:58.356231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2870f334-aee1-49ca-ab4b-397af5cf5100 · outbound

This paper cites On stochastic gradient L angevin dynamics with dependent data streams in the logconcave case.

Regime-Switching Langevin Monte Carlo Algorithms On stochastic gradient L angevin dynamics with dependent data streams in the logconcave case

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:58.302806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3fa533c4-9bc3-43fa-aa0c-67714ee986d3 · outbound

This paper cites Bartlett.

Regime-Switching Langevin Monte Carlo Algorithms Bartlett

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:58.256591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 986e9c49-3eff-466c-954f-48e9f58f8a3d · outbound

This paper cites Sharp convergence rates for Langevin dynamics in the nonconvex setting.

Regime-Switching Langevin Monte Carlo Algorithms Sharp convergence rates for Langevin dynamics in the nonconvex setting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T13:14:49.916287Z

Source-reported events for the cited work

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Observation 63c49d7c-a522-469e-8d05-b943b339341f · outbound

This paper cites Underdamped L angevin MCMC : A non-asymptotic analysis.

Regime-Switching Langevin Monte Carlo Algorithms Underdamped L angevin MCMC : A non-asymptotic analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:58.203556Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1c7264a-daff-41e1-90c9-8fee9cf5aa04 · outbound

This paper cites Exponential ergodicity for M arkov processes with random switching.

Regime-Switching Langevin Monte Carlo Algorithms Exponential ergodicity for M arkov processes with random switching

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:58.165889Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2a9a4ac-0d29-4128-9dc2-dcd1b21a3439 · outbound

This paper cites Complexity of randomized algorithms for underdamped L angevin dynamics.

Regime-Switching Langevin Monte Carlo Algorithms Complexity of randomized algorithms for underdamped L angevin dynamics

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:58.112274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cf0dc5f1-dd7b-4a13-a7e7-91934da45b8e · outbound

This paper cites On explicit L^ 2 -convergence rate estimate for underdamped L angevin dynamics.

Regime-Switching Langevin Monte Carlo Algorithms On explicit L^ 2 -convergence rate estimate for underdamped L angevin dynamics

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:58.071256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation afc83bac-5693-417b-b4b6-7997d0162e8c · outbound

This paper cites On stochastic gradient L angevin dynamics with dependent data streams: the fully non-convex case.

Regime-Switching Langevin Monte Carlo Algorithms On stochastic gradient L angevin dynamics with dependent data streams: the fully non-convex case

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:58.038762Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 35905074-7523-4bed-95b5-04fce007d10c · outbound

This paper cites Theoretical guarantees for approximate sampling from smooth and log-concave densities.

Regime-Switching Langevin Monte Carlo Algorithms Theoretical guarantees for approximate sampling from smooth and log-concave densities

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.997640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4cbd53d0-4c35-43e2-9e9b-bc29de5d3f72 · outbound

This paper cites User-friendly guarantees for the L angevin M onte C arlo with inaccurate gradient.

Regime-Switching Langevin Monte Carlo Algorithms User-friendly guarantees for the L angevin M onte C arlo with inaccurate gradient

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.950397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b30375a5-9882-4fdd-a4ca-ade20b997acc · outbound

This paper cites Non-asymptotic convergence analysis for the U nadjusted L angevin A lgorithm.

Regime-Switching Langevin Monte Carlo Algorithms Non-asymptotic convergence analysis for the U nadjusted L angevin A lgorithm

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.918584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cffab627-ec05-4a9a-9e1c-88a06a2e33d7 · outbound

This paper cites High-dimensional B ayesian inference via the U nadjusted L angevin A lgorithm.

Regime-Switching Langevin Monte Carlo Algorithms High-dimensional B ayesian inference via the U nadjusted L angevin A lgorithm

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.859737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc7a099c-3948-4e85-92a2-22680186b4af · outbound

This paper cites Hypocoercivity for linear kinetic equations conserving mass.

Regime-Switching Langevin Monte Carlo Algorithms Hypocoercivity for linear kinetic equations conserving mass

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.802770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cdae0e61-eb5b-46f3-bb97-237cd9de44aa · outbound

This paper cites On sampling from a log-concave density using kinetic L angevin diffusions.

Regime-Switching Langevin Monte Carlo Algorithms On sampling from a log-concave density using kinetic L angevin diffusions

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.754375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b4228be-2828-4e65-8cb6-32c29d299837 · outbound

This paper cites Ermak and Helen Buckholz.

Regime-Switching Langevin Monte Carlo Algorithms Ermak and Helen Buckholz

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.711985Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 428a3c99-28fa-475d-9a9a-b92c5438ea11 · outbound

This paper cites Couplings and quantitative contraction rates for L angevin dynamics.

Regime-Switching Langevin Monte Carlo Algorithms Couplings and quantitative contraction rates for L angevin dynamics

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.654035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 85866047-48f2-4f40-910e-9b47539d8e4e · outbound

This paper cites Erdogdu, Rasa Hosseinzadeh, and S.

Regime-Switching Langevin Monte Carlo Algorithms Erdogdu, Rasa Hosseinzadeh, and S

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.587857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d1ceda3-da3e-4cc2-9adc-c3ca9d4c971c · outbound

This paper cites Bayesian Data Analysis.

Regime-Switching Langevin Monte Carlo Algorithms Bayesian Data Analysis

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.542592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38890686-b5a6-4e7d-9985-0a6a1971d4bd · outbound

This paper cites Decentralized stochastic gradient L angevin dynamics and H amiltonian M onte C arlo.

Regime-Switching Langevin Monte Carlo Algorithms Decentralized stochastic gradient L angevin dynamics and H amiltonian M onte C arlo

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.497315Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 648cc9c9-76a7-4ba9-be42-26303783f02b · outbound

This paper cites Breaking reversibility accelerates L angevin dynamics for global non-convex optimization.

Regime-Switching Langevin Monte Carlo Algorithms Breaking reversibility accelerates L angevin dynamics for global non-convex optimization

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.466051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf85e538-b713-4656-a89c-2e0253e9e9f0 · outbound

This paper cites Global convergence of S tochastic G radient H amiltonian M onte C arlo for non-convex stochastic optimization: Non-asymptotic performance bounds and momentum-based acceleration.

Regime-Switching Langevin Monte Carlo Algorithms Global convergence of S tochastic G radient H amiltonian M onte C arlo for non-convex stochastic optimization: Non-asymptotic performance bounds and momentum-based acceleration

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.447470Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b926ab30-3f2a-4f69-bd89-5acfe9f49035 · outbound

This paper cites Cyclic and randomized stepsizes invoke heavier tails in SGD than constant stepsize.

Regime-Switching Langevin Monte Carlo Algorithms Cyclic and randomized stepsizes invoke heavier tails in SGD than constant stepsize

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.431011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 850b1808-6d4d-4dda-bc3b-64ee17e32273 · outbound

This paper cites Generalized EXTRA decentralized stochastic gradient L angevin dynamics.

Regime-Switching Langevin Monte Carlo Algorithms Generalized EXTRA decentralized stochastic gradient L angevin dynamics

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T13:14:52.253333Z

Source-reported events for the cited work

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Observation de169624-fb92-45f9-b294-cf87e1b3ceac · outbound

This paper cites Deep reinforcement learning using cyclical learning rates.

Regime-Switching Langevin Monte Carlo Algorithms Deep reinforcement learning using cyclical learning rates

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.412342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d5c0090-e3da-44ed-ac5e-60e4612d60e3 · outbound

This paper cites Hopcroft, and Kilian Q.

Regime-Switching Langevin Monte Carlo Algorithms Hopcroft, and Kilian Q

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.390620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3f51031-fd6d-43a7-8ed9-b2e54e332bc8 · outbound

This paper cites Isotropic hypoellipticity and trend to equilibrium for the F okker- P lanck equation with a high-degree potential.

Regime-Switching Langevin Monte Carlo Algorithms Isotropic hypoellipticity and trend to equilibrium for the F okker- P lanck equation with a high-degree potential

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.371736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 045daa34-4c15-487b-b55a-5cf3ce84ae3f · outbound

This paper cites Steepest descent method with random step lengths.

Regime-Switching Langevin Monte Carlo Algorithms Steepest descent method with random step lengths

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.352146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6e7b989-f58d-4aa3-9f10-0836eb31130b · outbound

This paper cites Markov Chains and Mixing Times , volume 107.

Regime-Switching Langevin Monte Carlo Algorithms Markov Chains and Mixing Times , volume 107

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.337437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c09c08d0-334b-403d-929e-db0e6818fe86 · outbound

This paper cites Chatterji, Xiang Cheng, Nicolas Flammarion, Peter L.

Regime-Switching Langevin Monte Carlo Algorithms Chatterji, Xiang Cheng, Nicolas Flammarion, Peter L

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.327028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6e673c95-3799-4b77-82e1-b0c4f8141868 · outbound

This paper cites Mixing of H amiltonian M onte C arlo on strongly log-concave distributions 2: Numerical integrators.

Regime-Switching Langevin Monte Carlo Algorithms Mixing of H amiltonian M onte C arlo on strongly log-concave distributions 2: Numerical integrators

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.316566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a207f57b-2007-40e2-9e94-8a07c8eafb65 · outbound

This paper cites Mixing of H amiltonian M onte C arlo on strongly log-concave distributions: Continuous dynamics.

Regime-Switching Langevin Monte Carlo Algorithms Mixing of H amiltonian M onte C arlo on strongly log-concave distributions: Continuous dynamics

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.306568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 26c96c6a-3cb0-4151-8962-cc125dd07978 · outbound

This paper cites Ergodicity for SDE s and approximations: locally L ipschitz vector fields and degenerate noise.

Regime-Switching Langevin Monte Carlo Algorithms Ergodicity for SDE s and approximations: locally L ipschitz vector fields and degenerate noise

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.296529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7557ff1-b390-4226-871b-0b608e5f6d34 · outbound

This paper cites Stochastic gradient descent with random learning rate.

Regime-Switching Langevin Monte Carlo Algorithms Stochastic gradient descent with random learning rate

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:14:55.073119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e1bb30ab-fb32-4bc8-b8be-d047c1fc9bed · outbound

This paper cites Stochastic Differential Equations with Markovian Switching.

Regime-Switching Langevin Monte Carlo Algorithms Stochastic Differential Equations with Markovian Switching

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.286202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa21ba7f-1b46-4053-b97a-63d4949c862a · outbound

This paper cites Stochastic Processes and Applications: Diffusion processes, the F okker- P lanck and L angevin Equations , volume 60.

Regime-Switching Langevin Monte Carlo Algorithms Stochastic Processes and Applications: Diffusion processes, the F okker- P lanck and L angevin Equations , volume 60

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.275898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e851dc63-1921-4f51-b178-0e556a26b809 · outbound

This paper cites Non-convex learning via stochastic gradient L angevin dynamics: a nonasymptotic analysis.

Regime-Switching Langevin Monte Carlo Algorithms Non-convex learning via stochastic gradient L angevin dynamics: a nonasymptotic analysis

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.266420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49b14f7a-5e60-43d3-bda3-15f189c98c6f · outbound

This paper cites Some remarks and examples concerning the transience and recurrence of random diffusions.

Regime-Switching Langevin Monte Carlo Algorithms Some remarks and examples concerning the transience and recurrence of random diffusions

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.257346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 386bacfd-4650-4573-af53-0fb9fed61890 · outbound

This paper cites Spectral methods for L angevin dynamics and associated error estimates.

Regime-Switching Langevin Monte Carlo Algorithms Spectral methods for L angevin dynamics and associated error estimates

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.247942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aae104a6-2c51-480e-8a96-126ff1ac79a4 · outbound

This paper cites Criteria for transience and recurrence of regime-switching diffusion processes.

Regime-Switching Langevin Monte Carlo Algorithms Criteria for transience and recurrence of regime-switching diffusion processes

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.238139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e535a9d2-4078-42eb-8e49-9cbca9426b66 · outbound

This paper cites Ergodicity of regime-switching diffusions in W asserstein distances.

Regime-Switching Langevin Monte Carlo Algorithms Ergodicity of regime-switching diffusions in W asserstein distances

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.228162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a4ae3d97-27d6-420b-aff2-2c5a3fbe6c76 · outbound

This paper cites The randomized midpoint method for log-concave sampling.

Regime-Switching Langevin Monte Carlo Algorithms The randomized midpoint method for log-concave sampling

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.217607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bad9d75b-d64d-41ff-8045-af19b8216246 · outbound

This paper cites an unresolved cited work.

Regime-Switching Langevin Monte Carlo Algorithms Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:14:57.208083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 12952b5d-4b2d-44f1-b549-eeef31c66e44 · outbound

This paper cites Exploring loss function topology with cyclical learning rates.

Regime-Switching Langevin Monte Carlo Algorithms Exploring loss function topology with cyclical learning rates

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:14:54.935598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c1ad6c50-6291-4e30-83ff-12d93ca8e67b · outbound

This paper cites Inverse problems: A B ayesian perspective.

Regime-Switching Langevin Monte Carlo Algorithms Inverse problems: A B ayesian perspective

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.198471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c17ae8bc-3ae5-49b7-8807-2c637dff0d9e · outbound

This paper cites Strong ergodicity of the regime-switching diffusions.

Regime-Switching Langevin Monte Carlo Algorithms Strong ergodicity of the regime-switching diffusions

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.188334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 92b18926-d446-492f-903c-5efbaca66079 · outbound

This paper cites Stability and recurrence of regime-switching diffusion processes.

Regime-Switching Langevin Monte Carlo Algorithms Stability and recurrence of regime-switching diffusion processes

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:57.128581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 28831858-b277-4fa1-9600-c272a858852a · outbound

This paper cites Consistency and fluctuations for stochastic gradient L angevin dynamics.

Regime-Switching Langevin Monte Carlo Algorithms Consistency and fluctuations for stochastic gradient L angevin dynamics

Reference 50

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This paper cites Hypocoercivity.

Regime-Switching Langevin Monte Carlo Algorithms Hypocoercivity

Reference 51

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This paper cites Optimal Transport: Old and New.

Regime-Switching Langevin Monte Carlo Algorithms Optimal Transport: Old and New

Reference 52

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This paper cites An empirical study of cyclical learning rate on neural machine translation.

Regime-Switching Langevin Monte Carlo Algorithms An empirical study of cyclical learning rate on neural machine translation

Reference 53

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This paper cites Global convergence of L angevin dynamics based algorithms for nonconvex optimization.

Regime-Switching Langevin Monte Carlo Algorithms Global convergence of L angevin dynamics based algorithms for nonconvex optimization

Reference 54

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This paper cites Hybrid Switching Diffusions: Properties and Applications , volume 63.

Regime-Switching Langevin Monte Carlo Algorithms Hybrid Switching Diffusions: Properties and Applications , volume 63

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:55.751359Z

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This paper cites Nonasymptotic estimates for S tochastic G radient L angevin D ynamics under local conditions in nonconvex optimization.

Regime-Switching Langevin Monte Carlo Algorithms Nonasymptotic estimates for S tochastic G radient L angevin D ynamics under local conditions in nonconvex optimization

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:14:55.471490Z

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This paper cites Cyclical stochasitc gradient MCMC for B ayesian deep learning.

Regime-Switching Langevin Monte Carlo Algorithms Cyclical stochasitc gradient MCMC for B ayesian deep learning

Reference 57

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Pith citing papers

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Variance Reduction for Stochastic Gradient Generalized Non-reversible Langevin Monte Carlo Algorithms cites this paper.

Variance Reduction for Stochastic Gradient Generalized Non-reversible Langevin Monte Carlo Algorithms Regime-Switching Langevin Monte Carlo Algorithms

Reference 12

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