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Paper Citation Record · LEDGER

Regime-Switching Langevin Monte Carlo Algorithms

As of 16 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 2026-08-16T06:30:59.297886+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
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.475449Z digest=sha256:37227fa092b66cddb09fe62ff52afb0c86da4e6d36b238c656f461743fe8c4bf

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.517678Z digest=sha256:64c75a3760a44bd7ab98803f8adfc53b9f987e6ee294baeed3dfbb2b06de2768

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.607946Z digest=sha256:19eba9a7cc9680c061a5d15cdf4f1473aeb224f810bdf9e1178665abcf18b2d1

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.709199Z digest=sha256:29c67bfc40dd55be23bfcf23a9691f56ba393e41ba9200b866ece160b72ba2af

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

This paper cites Bartlett.

Regime-Switching Langevin Monte Carlo Algorithms Bartlett

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.815059Z digest=sha256:11c94b9977bf0ca7e374cfe547f6cba99fe6b7fe113c7030b1f7fcb64cc3947e

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:14:49.916287Z digest=sha256:ef54e3a445a227e73c4a759ef8e14f7583f83e60d4c1b06f0be5467a8656f901

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.992013Z digest=sha256:7c67d543375f72e01e8e315b6e2ae7ab4d62b5aa9609d7aa3df44c8ce5a90506

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
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raw_fallback, observed 2026-08-05T13:14:58.165889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.096909Z digest=sha256:9dd9c0f1fba2ead8404cb8bd67a14ed50093d69967a4f5c403a3769bf9380d3c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.203507Z digest=sha256:69d75353d5ae7f95dd68171a6712c633d74103052c4328883e1ed5435d722182

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.279663Z digest=sha256:717ed1c7586b7488dcc897d5e18ee1600fe05d250ef70cca9226c7eaa9dca6ff

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.348217Z digest=sha256:b4cacc2eddf9609eaa10e3d79ffba10e5aea8e7cf3a3ac59bce55141bfd09bdd

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.459548Z digest=sha256:f1f394bf6d1893deaf8d162a07e365d76da79a819d465b894c54c0143c1aa556

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.561363Z digest=sha256:464d6ac50ed19235872d429f66cdb5b67e9fbe1ed1e43ebf413db7efb3cdb715

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.676082Z digest=sha256:a9bebd9478aae44de2423ef7d6e405121f69a12b0310e47db4b2a5696fac7e57

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.782576Z digest=sha256:747709a542eae69b3b673b38ad0183d987b38cd0187dea26d610ffdb9de9bd1d

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
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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.906016Z digest=sha256:fd33ae85e8250178ea6729575a2bfe92afaef5e1535679d3085dd09e34a02603

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.059727Z digest=sha256:50a55caae56a2115351478698dd4cb5213f071fc568236e64d327f1386227b03

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.202574Z digest=sha256:7c1c353cd9adb75c16e6c63e0842254a0916eaba20802f75c21967df74286839

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.353435Z digest=sha256:a96e62eb8ed64b00ed4d3eee54e369b7ef183e696eb728086177ef8647d8ad13

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.463240Z digest=sha256:b2c7e18404bc20e3af18a7cea782dfaa9f20dfafbd879a232ccec474f823e46f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.576685Z digest=sha256:f52a88ad1e2afb47227bee009945b5b60c6f15e96bba7018406b2345e05106fc

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
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raw_fallback, observed 2026-08-05T13:14:57.497315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.697666Z digest=sha256:e9c7a92d2a1a9f226249eb5cb4f35347ec0ec8db84d5060d31ce1b37ead22751

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.821051Z digest=sha256:b4522dfc0e4048379c6bd447236077fdb1fd6200f754bdb66c35b0393583078f

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
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raw_fallback, observed 2026-08-05T13:14:57.447470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.959061Z digest=sha256:d5abc7a5fa41482ab24a36f067ea9a7dc126c4fc3e3c6b8bafd39ac02e38e3af

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.088109Z digest=sha256:06a4722339039bea985aa9d70ef139ed8b5c1812b8cc34cc15dca16046681e87

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:14:52.253333Z digest=sha256:f5c7c5b5969a35c35180231a23a5639b7102f310c313ca04394ca11e0d0476a3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.465184Z digest=sha256:ab19dabc811d8e4aedeb299e228a9619306801987db8fa527c4773fc657c2f5d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.610555Z digest=sha256:a019002ec455c523200954d6ef56c45a4ce8e47dcc6019b5741a8f8759dd6c86

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.734175Z digest=sha256:ea2f596b60ec8d340c8e65eee9ffb863dde6b97b098a1fc8a3935f60b4a1a336

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.809668Z digest=sha256:f3624a79b916dbbaaac0648d3ae54dccd3b216534becef4465ebe41ef6820179

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.873466Z digest=sha256:12c60ff73800f92ab7743a9df5e31c7a5f639b9202b1c586d8af1e617d339540

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.943222Z digest=sha256:55a54af6812853f473fe6ef5a570a55287c15c123663201edd8bf17786b3423b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.039271Z digest=sha256:11ae9175914c0df885fcf0c63450f40072c6a3cfcacdd00a4a98d4e28c61b6f5

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.113461Z digest=sha256:5cccee3b633abc01494fe1ff8aed5347a128b05610165a72714f798ce43f8437

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.184347Z digest=sha256:90376b86b9d2e5314538ff711815a2f761ea6bbd183a90c00d22dc494b35aab6

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.269908Z digest=sha256:548abddfc0222848e635a1e99c360e5e5e7bad9b2f084ab333a25ebb5c410318

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.362068Z digest=sha256:8119d22d303010ef12f8449c1f2c287334d318dfb90b3bbae4a909693e2de9f8

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.434852Z digest=sha256:02ac6e48776a9e7fd1ede24d040e46ea12393489bfdb73c4f37ff6bf992b2659

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.494653Z digest=sha256:be95388bc3ed94cd19da8d760fe7e1eb262fad678b1dc432629a497b13290d24

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.576900Z digest=sha256:f4962d3847dcf143043eca5826992084606cc000f593ad27257ae4db8178c5fe

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.648008Z digest=sha256:3dfbaf9504054ddde5b7c7cc908b5cb1c01541a96efad541eaac78d755cb8ec3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.735275Z digest=sha256:a0c2d6a9bef80426b88748280e8328160f56d8b60e89dc8137a568ba159d2d55

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.794151Z digest=sha256:3a4ec4c8cc1cb8ba5d558522ecd35002386f5db36dca5b74f548f8c503cb0885

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.875569Z digest=sha256:9ae2bd00a540400b5e5121042e1e2f16d21d4dba363a7819243eff83b58c80bb

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.931534Z digest=sha256:906cd9ed7853f9265878173bcb5218776e55a2b2af1dee114ceada04236da669

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.984598Z digest=sha256:57bc851523b70b2a215c2ad83698e5c2fcc4ac49d12519e81c9683b2b673443d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.057108Z digest=sha256:38f28f8715b423b1ea93f52bc57cce5c4618c270d56c7fc5d0834e534e14025b

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.147149Z digest=sha256:5e4e758f82cb941f599d3b68b3d4b955ca87ef1fb0afd6a0ae97f4b1fc869d8c

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.229188Z digest=sha256:e52d261b54a8618b367e9bc5bdc52d03f43e50f000b7d5efc8bdad5c59b69a77

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:14:56.917030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.296830Z digest=sha256:b8f51a0fb5bd0555023c251607edc1fa5659df2fe136cc0762107e25c3c9aef5

Observation b9dd34f1-92dd-4e01-8e8c-c50bd51de823 · outbound

This paper cites Hypocoercivity.

Regime-Switching Langevin Monte Carlo Algorithms Hypocoercivity

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:14:56.694510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.341579Z digest=sha256:f96e03e3af723315ec8978bc542f1c980a0bafa395a1e0dc29ce494af8f24b59

Observation 11d0310f-a089-44c6-9cea-3ca731c5ebde · outbound

This paper cites Optimal Transport: Old and New.

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

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:14:56.434797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.419969Z digest=sha256:09d831175e8be01b6c3e8a0b2be318da8077b4d974fa59ad35ef0174910f8c9e

Observation cc630967-645a-4a65-bc4b-3507c79e5b2f · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:14:56.183564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.495731Z digest=sha256:f692f051b9b583601b1cb9b75cf251d21262024c0f047c6349956a35cd80a6dc

Observation 2ec8ad34-a314-42b3-9318-be370029437a · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:14:55.940364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.556682Z digest=sha256:54dc8ceb7b42ede4adef5f719e2288b216c333de2c3b1016c011d7430adae8b7

Observation 47c9e30e-05bb-4b10-8bb1-b42bf4505f09 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.611862Z digest=sha256:8e89351dc50dbf5d6bda8b46fc2dda4356f982af8c6d5ff3b2fcc5ccdaf524e7

Observation 11c1a181-ebdf-405c-8964-ae7b8bb0ecd8 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.671184Z digest=sha256:5fc748349ff6b8d052728691a2676b1a5b3d325d21b4d762fcb2d722e9219a43

Observation 04514d0e-b7ba-4e87-8060-e2756fc65d0f · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:14:55.382612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.752431Z digest=sha256:07121831f6bbc4819e4e1ced5e6af507a324ddfa9d9627334e20a759111dca99

Pith citing papers

Observation 13a93af2-5b5b-4eda-a05e-763fc9d3f4cc · inbound

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

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:04:32.599526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T09:01:49.886920Z digest=sha256:52b35084d615f3f03600d96922e9e754617624cdadfd9b830417e9e5b7c087bf