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Paper Citation Record · LEDGER

Regime-Switching Langevin Monte Carlo Algorithms

As of 7 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 2026-08-07T06:34:17.273281+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
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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.475449Z digest=sha256:5b2196f24834c61b73f5106e9954c722f78d4159b778f55692e52a6b3f6afa13

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.517678Z digest=sha256:36c40e77d9e535a28f34c01e7514dd013edd9f297443602bd18289ecb9e3223e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.607946Z digest=sha256:5ab407942215d81aa9320b3e3f50b9161daad01b80413c05aa6b068d7358edf3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.709199Z digest=sha256:12dda3fee87b6582295404e9a4f75f43899973c00575074a46f9c415d426b03d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.815059Z digest=sha256:19daa9584d814f45edefee2ff47469b7e27eed6d36f6abd759f40384a762130b

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=sha256:1f21b3f063fa4e99e23e4c1b4b048a4c188e270f8a116662acbabc0e2bc8479a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:49.992013Z digest=sha256:c98c26e0d7a079f97aba90260a6e6e01e1fde01f5667e9c2a3d17b67f0bd764c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.096909Z digest=sha256:40a55682bf629b8ab7d4db7c159f1b3eda25bf4dcf41a9cd4eec572056780eb8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.203507Z digest=sha256:61e9ecd3ef6239d53a6517da4ec4b35294a5d2b03dc3f57a0ed2370e1530b080

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.279663Z digest=sha256:66fae5c33c69056eb71a88b93039282e8f29c76abb2c365bb8fdeb484b0bf0f4

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.348217Z digest=sha256:f06b1fe2df4b29ce6609cedfe497c0327681a1fae0a096f2a6270b96c67d88fa

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.459548Z digest=sha256:a09f16dec2a3b6f6efd61bfc02a359f6b5ddf70add559036afa3a326b7f75b7d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.561363Z digest=sha256:4aca02c96f69b18366eeeac4f5b4d179fe5669d18e1a1cbca88c674eb31645d5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.676082Z digest=sha256:0f8f36d2bb2d6e7645167c92a4e10a50a0a004677618e3d95e46000e64d98988

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.782576Z digest=sha256:f79da04a99396f6e5a19a0fd7f38363c01cfb58f8a79edf0bcd805687edad742

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:50.906016Z digest=sha256:6ebe3aee8608967931c548bac41aea234ef52d9f650a129c978adb51526af1f8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.059727Z digest=sha256:b5b7c374c1fc5380942664d3fdc2038e6ace6464e59ed043ffdc9d8c86f0d5c5

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.202574Z digest=sha256:ddab090cda9b1c338b963487217f1ef5c5b4d0beab435c1d347aa7057f8a8231

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.353435Z digest=sha256:d2baad61f0e40f759f8cf3bc12533134daa83de6552b3be06a437a7b348072e9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.463240Z digest=sha256:552a780b136f9b929c9a58a82b4b04a91900b2f7a9ddfe4033d1a546e020fde0

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
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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.576685Z digest=sha256:823ef3f75639fed4172cf238be79c72edb55e53b76415ef812b295d4c259f87e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.697666Z digest=sha256:f9b5a228d5e3fac42344e7a3f5563d6e503e18f2c0ef6ece8a6eca1b68d6aeda

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.821051Z digest=sha256:9d285f079f7d48cbd3e76979ddbdf0f89385b81d4d888329778a72c116ef13f2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:51.959061Z digest=sha256:9bf8e527e412fb8b36c8e22e6dbfaa0554d61dc2387c1b6498c00e86acf51d84

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.088109Z digest=sha256:3bd320f7744f5a1fcd3f12ef1fd815e25c31cecdec32f8626268ee0172cf2553

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=sha256:8add516783146e9ba791e4548fddad7a858a2eacbb0cebd920eae6ed451f4d0d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.465184Z digest=sha256:26603c8934762ac720de0d1eb90d2af1c19e4c3b8b60253478b809d51c5a710d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.610555Z digest=sha256:a34c36a5bc9e3d3dc8846ab076758d325a5c68b33ba70e1a31878f15ec20cd26

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.734175Z digest=sha256:e5ceaa3b22205adc26f3021c8347ae67bcc4d8f883b5db336b69087f4f733538

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.809668Z digest=sha256:9f647a036a89f52c2b42b22898cc450054fefca456c9aa9bbb396249bc27b1d3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.873466Z digest=sha256:38c5a09f677846e20b9052db1954e214adc4ca61cde393ef561efc163bb577ba

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:52.943222Z digest=sha256:b02aeceda739015814f3b1eec247c1a90f0be9f946077da7a47845492bb67ad3

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.039271Z digest=sha256:5c9b772c503f9a77837ad1ec99f88db74b28eb7d909fc4e6c93b7a0a71e589ab

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.113461Z digest=sha256:d83f959b588832c88f74dfc6bc660f284af4830afbaf2ba18d03e6b6d4b66498

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.184347Z digest=sha256:6ae2e7f50a17e6b60d0b192b455f5c93c3f8cbd2021ef35b86acf4d95c26132f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.269908Z digest=sha256:7a0762e469e226057d13f8d48d6a81299374a46e51dc94aa89539cd22bdf83be

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.362068Z digest=sha256:fe2e5438f42dadd5ffcdc0c55b668a61e12c574bf4b85e09ac5f9bdcb3417aa6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.434852Z digest=sha256:ee94ba9194a3614e78afba94931b182dad5fed124760bbe8066b4efe556c3880

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.494653Z digest=sha256:1dfa8b018d63f62f01bb82afb66fcc41a4a69187ba17c62f9f2fbf0e067b18ff

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.576900Z digest=sha256:89468a6d85df660e8272c144bf72e1ed365e3f31fed3c0a0de83fa15672faa37

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.648008Z digest=sha256:f97a7cbf6621aae5f5468ae812fe4c7ce80283b0d8e39c9638da22d9250175c6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.735275Z digest=sha256:631c1a8f7dad7a8fea7f09b2c55cdb2a4997798f875bded28439864be0dcb49e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.794151Z digest=sha256:8786f478b28bb071c808a4c20a525c34951ea973d477fa415775082b315edf11

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.875569Z digest=sha256:258fa47548ad6befe334eb9a24b3615d9ffcdc650202ef7117baa71ef19d5a4a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.931534Z digest=sha256:b1e77c8ae9d8857883b638cac2e36630676984d21bea963f6ff10cf2fbdd0192

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:53.984598Z digest=sha256:42493f771298dc9eab4742f45d03f7880868ae13765811d2ee7ddddd3491117d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.057108Z digest=sha256:0aaad2e99575f1e14afd75fa2b2bf5e05688a092ccd723dddaac561b6a78b7fc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.147149Z digest=sha256:7debf787ac5b57d27b660eeb1865c49dd3e99a74ff423b45a6992aed65d26b05

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.229188Z digest=sha256:3294b5a13463cbd8ff92e8e61ab94307ee0048a69a5a539743d2a5bca0be447a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.296830Z digest=sha256:a68ed90ca0f5646eb772a4587a4008777a77377c6d82cc00c67ddb3ddfe59fcc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.341579Z digest=sha256:441ee67102137fbc417be6e56dfe9160b6fd6e9fc6d484d5db0a702c208d1aaa

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.419969Z digest=sha256:b97a0b0d9b3425169eaf9f515101c857d08899aebd729cfae3cd4cabb53e3d46

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.495731Z digest=sha256:63555674db5c95533127334de6219016aa31b121e4f879606211db86f5324e8b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.556682Z digest=sha256:8321ed3543bec99cfafcf2099f7ba227b398e1b219ea5ffb8407868e33bd9323

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.611862Z digest=sha256:a9b83fc44d17e5cef63f989951d138df702cb56c85bcaf1bc850e0bf39df7c9b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.671184Z digest=sha256:ee1d995e6aab609851860f0b5305f3962b91bae6feb14621ace6b5f0f8216af0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T13:14:54.752431Z digest=sha256:e6779afb7d9ee14c6a5a7309b59b43431cd96c7b6af51f77ddf8c114b2bfde34

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T09:01:49.886920Z digest=sha256:60fd1f5536b036ce82e285856bb9b35b34098b521efd01c8b194c2ad01223445