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Paper Citation Record · LEDGER

Non-Reversible Langevin Algorithms for Constrained Sampling

As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2501.11743.

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

pith.paper-citation-record.v1
2501.11743 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:06:00.466723Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 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 2026-06-30T09:04:32.592558Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy38
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee1ce4f3-7ea5-48ec-aede-84d61448113a · outbound

This paper cites Efficient constrained sampling via the mirror- L angevin algorithm.

Non-Reversible Langevin Algorithms for Constrained Sampling Efficient constrained sampling via the mirror- L angevin algorithm

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.314152Z digest=sha256:0648358f4218a06b1126c9cf8aedb99f2a129ddd28129805b7c7fc87965b83a6

Observation 733c6259-641e-4350-9b16-02d1946af357 · outbound

This paper cites An introduction to MCMC for machine learning.

Non-Reversible Langevin Algorithms for Constrained Sampling An introduction to MCMC for machine learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T18:06:00.319028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:06:00.319028Z digest=sha256:8ff975800ff1300ae4fece4291dde2d20efaf9092883ec3e6ea3f495b6e6cf0d

Observation d3ed3696-d36c-4f87-af06-df2f895eeb0e · outbound

This paper cites A simple proof of the P oincar \'e inequality for a large class of probability measures.

Non-Reversible Langevin Algorithms for Constrained Sampling A simple proof of the P oincar \'e inequality for a large class of probability measures

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:01.015737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.322672Z digest=sha256:e7896afd7d566b8c01f22e62a1452ea848c70b35416917bf7909f11ef97c0a5a

Observation a969fcc6-8066-48c2-969d-5669c1b35686 · outbound

This paper cites Sampling from a log-concave distribution with compact support with proximal L angevin M onte C arlo.

Non-Reversible Langevin Algorithms for Constrained Sampling Sampling from a log-concave distribution with compact support with proximal L angevin M onte C arlo

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:01.005696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.326818Z digest=sha256:1f59ce6be49cbfae025583e309c2f5c26bb04db5c308ba5bc4e5766265aad9c5

Observation 61b5a890-b692-4570-9533-6056b8ebe96f · outbound

This paper cites Finite-time analysis of projected L angevin M onte C arlo.

Non-Reversible Langevin Algorithms for Constrained Sampling Finite-time analysis of projected L angevin M onte C arlo

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.994749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.330612Z digest=sha256:7cbeea9f6741986eff975abd5b5951ec37f51aa95745bb093ca278478d88822c

Observation 3a6b3eb2-2a2c-4ac1-81b1-f2a5af157acb · outbound

This paper cites Sampling from a log-concave distribution with projected L angevin M onte C arlo.

Non-Reversible Langevin Algorithms for Constrained Sampling Sampling from a log-concave distribution with projected L angevin M onte C arlo

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.983715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.334182Z digest=sha256:2b4a710be7508cdd2e0cc5188d465eef8ccbe82c1dcfc0fc92dff3c89766995d

Observation 1a6e47eb-9d67-4bc6-9701-fca4fa8a3b50 · outbound

This paper cites Analysis and Geometry of Markov Diffusion Operators , volume 103.

Non-Reversible Langevin Algorithms for Constrained Sampling Analysis and Geometry of Markov Diffusion Operators , volume 103

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.972854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.337898Z digest=sha256:47752a271c28a6cb9e849a899715564df958ea27dfbdc40700d69782843e05e6

Observation 64f7f9cd-8963-4744-a81b-3e39a2f5f113 · outbound

This paper cites A symmetrized E uler scheme for an efficient approximation of reflected diffusions.

Non-Reversible Langevin Algorithms for Constrained Sampling A symmetrized E uler scheme for an efficient approximation of reflected diffusions

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.962226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.341275Z digest=sha256:130eb38347f32914836ff8b304c6ae02498e27e13400a4e9885440d0f3c5710f

Observation 85dc1903-3cfb-4431-bb0a-fdebbdf95fde · outbound

This paper cites A note on T alagrand’s transportation inequality and logarithmic S obolev inequality.

Non-Reversible Langevin Algorithms for Constrained Sampling A note on T alagrand’s transportation inequality and logarithmic S obolev inequality

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.951164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.344816Z digest=sha256:c931df2457f38a5170b74279ff232649f284aa1dfca8069e57303ca688a4e80f

Observation 9792065d-e46e-4f5d-b941-231f7e088e52 · outbound

This paper cites Exponential ergodicity of mirror- L angevin diffusions.

Non-Reversible Langevin Algorithms for Constrained Sampling Exponential ergodicity of mirror- L angevin diffusions

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.939544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.348482Z digest=sha256:4a70e6b6ca89fa6685e3d07d70766ac612ee8d58908bd68b4bf3d2981e0f7c1c

Observation bd03eb52-7cec-42d0-a531-5c106dc0c681 · outbound

This paper cites The S korohod oblique reflection problem in domains with corners and application to stochastic differential equations.

Non-Reversible Langevin Algorithms for Constrained Sampling The S korohod oblique reflection problem in domains with corners and application to stochastic differential equations

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.928965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.352058Z digest=sha256:0044be868b2da28b9f4ba854e322be45c08e9b88c0dcafb23b636a1e35bfa56e

Observation ba4d4bc9-6571-4ef6-964a-0c2b6d64d7ac · outbound

This paper cites SDE s with oblique reflection on nonsmooth domains.

Non-Reversible Langevin Algorithms for Constrained Sampling SDE s with oblique reflection on nonsmooth domains

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.917730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.356031Z digest=sha256:1658a24ea520a615f28af17da90a0ff53ff5a89c2dd2a4877395e3581403500d

Observation 3f4ded61-8b77-49e9-82a3-bdb876ec426c · outbound

This paper cites Duncan, Tony Leli\` e vre, and Grigoris A.

Non-Reversible Langevin Algorithms for Constrained Sampling Duncan, Tony Leli\` e vre, and Grigoris A

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.906563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.359351Z digest=sha256:bb06719da962d998a094e0b070dd3e2071eafd9259c9f7fed7d36611d81c2658

Observation 070625b9-55dd-4c86-9420-35a29fb96168 · outbound

This paper cites Nonreversible Langevin Samplers: Splitting Schemes, Analysis and Implementation.

Non-Reversible Langevin Algorithms for Constrained Sampling Nonreversible Langevin Samplers: Splitting Schemes, Analysis and Implementation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T18:06:00.362994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:06:00.362994Z digest=sha256:7aede83ef543b0b9cb2de079c9040ae97569216613b4dfa1e4f759b13c6fbc17

Observation 0d1ec060-b0e1-4ed4-86fb-141da4392b5d · outbound

This paper cites Accelerating the diffusion-based ensemble sampling by non-reversible dynamics.

Non-Reversible Langevin Algorithms for Constrained Sampling Accelerating the diffusion-based ensemble sampling by non-reversible dynamics

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.895488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.366949Z digest=sha256:d5da3870eeaf3124396eb7f96566bb731d41c55d3d21f96a9a40e42a22686f54

Observation 3d14bbd2-a886-40c8-96bb-ce25fc70a12e · outbound

This paper cites Bayesian Data Analysis.

Non-Reversible Langevin Algorithms for Constrained Sampling Bayesian Data Analysis

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T18:06:00.370482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:06:00.370482Z digest=sha256:7201dcdf72750e1fe4bf157dd03dcc975d396268fcb206b1400f02674421a94a

Observation 8782bde9-4032-4f79-8d41-d3c7a80b5c66 · outbound

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

Non-Reversible Langevin Algorithms for Constrained Sampling Decentralized stochastic gradient L angevin dynamics and H amiltonian M onte C arlo

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.879210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.373680Z digest=sha256:64139cf6424e62f32efdd737f2c841f2f5995ff320066f56718f148f241ec004

Observation 864ed354-2872-4cdf-a4bb-ee83cb3c2d88 · outbound

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

Non-Reversible Langevin Algorithms for Constrained Sampling Breaking reversibility accelerates L angevin dynamics for global non-convex optimization

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.869257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.377000Z digest=sha256:ed1df7b9cbb0b03853c745f8638c474616ecb5f2d7262307286a8f0dbe760dd6

Observation 750ad0d4-71a9-4c8d-a1fa-03423b72b162 · outbound

This paper cites Penalized overdamped and underdamped L angevin M onte C arlo algorithms for constrained sampling.

Non-Reversible Langevin Algorithms for Constrained Sampling Penalized overdamped and underdamped L angevin M onte C arlo algorithms for constrained sampling

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.859431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.380243Z digest=sha256:b184a7496f23d40e8c9c425700c74a1c94c0889003863aacc2e4454980b65b8b

Observation 5207e77f-9771-4678-a04e-3b35591bc24e · outbound

This paper cites Generalized EXTRA stochastic gradient L angevin dynamics.

Non-Reversible Langevin Algorithms for Constrained Sampling Generalized EXTRA stochastic gradient L angevin dynamics

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T18:06:00.383854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:06:00.383854Z digest=sha256:14947199c3cf234c8255446a28944752cd8a77d32ed33d9e98ca7438d0d74874

Observation 79225882-42e3-4bce-89e5-8df44332a129 · outbound

This paper cites Gibbs and Francis Edward Su.

Non-Reversible Langevin Algorithms for Constrained Sampling Gibbs and Francis Edward Su

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.849222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.387515Z digest=sha256:ba9680084970a03ec5cda8d985ae4d1b64d413fb0256bbc9ecf34d8153887249

Observation f3cc1289-7d48-4f3f-9e95-74c384ae9eec · outbound

This paper cites Accelerating G aussian diffusions.

Non-Reversible Langevin Algorithms for Constrained Sampling Accelerating G aussian diffusions

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.838524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.390994Z digest=sha256:2b362db1dfb6b267e2dd414795c4ffedf85f744e490632d3e78a695564a9014f

Observation 095e25c8-fea3-40b2-8612-ed6ec15bfc3b · outbound

This paper cites Accelerating diffusions.

Non-Reversible Langevin Algorithms for Constrained Sampling Accelerating diffusions

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.827551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.394464Z digest=sha256:4eba8f74ec5b18f572c67f53261af0e6e1f14e09975ab60855e2e54dfce93139

Observation e08a9310-2099-4ea0-bf5e-c20ba44a438b · outbound

This paper cites Mirrored L angevin dynamics.

Non-Reversible Langevin Algorithms for Constrained Sampling Mirrored L angevin dynamics

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.816624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.397783Z digest=sha256:c4b8bd28c9fd2bcd6ffcb42ebc9dd996fbc108fd307ea94c2f11013be6c2e58b

Observation 4b9b8c99-3313-41d4-a705-c3b425c0891a · outbound

This paper cites Non-Convex Optimization via Non-Reversible Stochastic Gradient Langevin Dynamics.

Non-Reversible Langevin Algorithms for Constrained Sampling Non-Convex Optimization via Non-Reversible Stochastic Gradient Langevin Dynamics

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T18:06:00.401114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:06:00.401114Z digest=sha256:e5e4099085701a56be5be66d89eb861cb46e4842dbe13f158e1bc324a7df4945

Observation 22c631d6-f974-4d67-9e40-13fca34d7e97 · outbound

This paper cites Projected stochastic gradient L angevin algorithms for constrained sampling and non-convex learning.

Non-Reversible Langevin Algorithms for Constrained Sampling Projected stochastic gradient L angevin algorithms for constrained sampling and non-convex learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.806152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.404827Z digest=sha256:cc2c4f57c53efb79942a76ed96e72fda46a56044705ff4203e1cc36924018fee

Observation df6ec576-4656-4413-a7d2-ead29efb072d · outbound

This paper cites On the H \"o lder gradient estimate for solutions of nonlinear elliptic and parabolic oblique boundary value problems.

Non-Reversible Langevin Algorithms for Constrained Sampling On the H \"o lder gradient estimate for solutions of nonlinear elliptic and parabolic oblique boundary value problems

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.795915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.408318Z digest=sha256:ddba862a589828186953241f9d74dd8dbfbe0f54ec5804df2cf54d07a5a489e0

Observation 1b282d87-c3a0-4c8c-922b-287ba6cc4206 · outbound

This paper cites Optimal non-reversible linear drift for the convergence to equilibrium of a diffusion.

Non-Reversible Langevin Algorithms for Constrained Sampling Optimal non-reversible linear drift for the convergence to equilibrium of a diffusion

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.785327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.411730Z digest=sha256:4b330d8206b304ab4019149ea5a1df12f70c6893106349b48d67ff998780c0dc

Observation 94b1395a-47b0-4cb4-86c8-999902dc6dee · outbound

This paper cites Stochastic differential equations with reflecting boundary conditions.

Non-Reversible Langevin Algorithms for Constrained Sampling Stochastic differential equations with reflecting boundary conditions

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.774989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.415079Z digest=sha256:01555b5c8c90aca3048c76e42ba6a1114be11fb3723efd369f9cdfbdda83e377

Observation ae7b75c7-367c-471f-b770-4d764ed2629b · outbound

This paper cites Vempala, and Andre Wibisono.

Non-Reversible Langevin Algorithms for Constrained Sampling Vempala, and Andre Wibisono

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.764564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.418246Z digest=sha256:1d0330f35b5cae4edfb4ba8f50f338ac209e72a2f710d7b3935ea8d52c96c659

Observation 4decede0-32e2-4a64-bd19-ae50b2ade637 · outbound

This paper cites Irreversible L angevin samplers and variance reduction: a large deviation approach.

Non-Reversible Langevin Algorithms for Constrained Sampling Irreversible L angevin samplers and variance reduction: a large deviation approach

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.753712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.421260Z digest=sha256:0117b1044c1b619ff814d84915969c4124d2a6dd86e58e88a265903afe585917

Observation 7fa3adc6-cf9d-4b52-967e-1870287eeae3 · outbound

This paper cites Variance reduction for irreversible L angevin samplers and diffusion on graphs.

Non-Reversible Langevin Algorithms for Constrained Sampling Variance reduction for irreversible L angevin samplers and diffusion on graphs

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.741746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.424448Z digest=sha256:c4b5df26015f1155d11017f67dc8146958b890645a81ebec1521c79055fd72ac

Observation a9488f52-384c-45e3-a891-b85a72154f49 · outbound

This paper cites Improving the convergence of reversible samplers.

Non-Reversible Langevin Algorithms for Constrained Sampling Improving the convergence of reversible samplers

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.730821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.427290Z digest=sha256:05121da5389122b67d70509d60d119d572d6ec427e04016834299c672652ab5c

Observation 289b709d-1efc-4a70-8314-02d0678a9d3d · outbound

This paper cites Weak P oincar\' e inequalities and L^ 2 -convergence rates of M arkov semigroups.

Non-Reversible Langevin Algorithms for Constrained Sampling Weak P oincar\' e inequalities and L^ 2 -convergence rates of M arkov semigroups

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.720622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.430364Z digest=sha256:9c7b9888e2c0bdc05900c40ddc36969e063e5911d6401416783424395e2b236a

Observation f1080c04-022a-49bd-a69a-bf7ec2fc7ffb · outbound

This paper cites Primal dual interpretation of the proximal stochastic gradient L angevin algorithm.

Non-Reversible Langevin Algorithms for Constrained Sampling Primal dual interpretation of the proximal stochastic gradient L angevin algorithm

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.710430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.433426Z digest=sha256:32bfbe51829a24110bac1a53d23272a43ad0a229cee29cc365e3184a6f7a06f1

Observation ebe69948-cc49-4d2a-9903-055c6532b88e · outbound

This paper cites ( N onsymmetric) D irichlet operators on L ^1 : existence, uniqueness and associated M arkov processes.

Non-Reversible Langevin Algorithms for Constrained Sampling ( N onsymmetric) D irichlet operators on L ^1 : existence, uniqueness and associated M arkov processes

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.699324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.436545Z digest=sha256:bae6f2236f4ed45c0791735f3c45454a1bd8a18f0ced5541cb5d0cd0952e641c

Observation 167ed521-d7cd-4a44-9484-36e34654c426 · outbound

This paper cites Inverse problems: A B ayesian perspective.

Non-Reversible Langevin Algorithms for Constrained Sampling Inverse problems: A B ayesian perspective

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T18:06:00.439574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:06:00.439574Z digest=sha256:41c56264e593b07e030f624aeaf7286f27447b10a143115fa9360921231013ab

Observation b61d0791-431e-47ad-a3f7-c600c840e006 · outbound

This paper cites Stochastic differential equations with reflecting boundary condition in convex regions.

Non-Reversible Langevin Algorithms for Constrained Sampling Stochastic differential equations with reflecting boundary condition in convex regions

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.682256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.442507Z digest=sha256:57bd39b8424749f5905d1b6d731ba58c73ca7d57df60a896bf0411ad15ca3de3

Observation c412f636-3c3a-490e-a950-f8607179b77e · outbound

This paper cites Operator reverse monotonicity of the inverse.

Non-Reversible Langevin Algorithms for Constrained Sampling Operator reverse monotonicity of the inverse

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.671608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.445844Z digest=sha256:a3d91efa3132cbd41492a5fbece75a0c18c27b16bd15034a86049ee7057c32ba

Observation c6d7b378-9d0d-4a7d-82c7-57ad7ca7b4fa · outbound

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

Non-Reversible Langevin Algorithms for Constrained Sampling Consistency and fluctuations for stochastic gradient L angevin dynamics

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.660342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.448912Z digest=sha256:0df1844a043db0c95e5807fd4d94afa5b1be14c345654439638488058b101f10

Observation 57fdad62-523d-4093-87ad-9874efbd79f5 · outbound

This paper cites On estimation of the logarithmic S obolev constant and gradient estimates of heat semigroups.

Non-Reversible Langevin Algorithms for Constrained Sampling On estimation of the logarithmic S obolev constant and gradient estimates of heat semigroups

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.647710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.452503Z digest=sha256:acf8cd8959468cd9988778a4b5fa553de63f5636fff89e179544b02a0cd07a29

Observation b4ca503c-5b8a-4d83-8e51-6efdd2d8984f · outbound

This paper cites an unresolved cited work.

Non-Reversible Langevin Algorithms for Constrained Sampling Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:06:00.635350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.455934Z digest=sha256:10fc5b5ea1d3b90e94d234948e0a3915e10f25407113e41b0ea1a368e46fa960

Observation 8e6a622b-ac7b-413c-a775-387da526e4a0 · outbound

This paper cites Constrained exploration via reflected replica exchange stochastic gradient L angevin dynamics.

Non-Reversible Langevin Algorithms for Constrained Sampling Constrained exploration via reflected replica exchange stochastic gradient L angevin dynamics

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.623521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.459233Z digest=sha256:dd0ca37684f6dd673bc30b1d4ac1384210b95c33a18a13cc2b550259c332ab66

Observation 61e1974f-eef4-4310-8c2c-be7188c63a69 · outbound

This paper cites Constrained L angevin algorithms with L -mixing external random variables.

Non-Reversible Langevin Algorithms for Constrained Sampling Constrained L angevin algorithms with L -mixing external random variables

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.610715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.463032Z digest=sha256:8697e36edc48640b743e1b959e0e7d821990cb86834670995ddb44ad01f26269

Observation 386d3aaa-cb35-48f7-b0be-42893101af34 · outbound

This paper cites Wasserstein control of mirror L angevin M onte C arlo.

Non-Reversible Langevin Algorithms for Constrained Sampling Wasserstein control of mirror L angevin M onte C arlo

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:06:00.598495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-10T18:06:00.466723Z digest=sha256:306a4b14133c464dc1eced9874db65ada8baca6d2c5c3666441a07535fc8852b

Pith citing papers

Observation be4e5de5-725e-48cd-ae83-0a25981983aa · inbound

Accelerating Langevin Monte Carlo Sampling: A Large Deviations Analysis cites this paper.

Accelerating Langevin Monte Carlo Sampling: A Large Deviations Analysis Non-Reversible Langevin Algorithms for Constrained Sampling

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:25:12.026504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T22:24:25.071972Z digest=sha256:439f79e318817b7086f74eba473131190e69b9862f0283d8343e2c9e434ad034

Observation f7b77ea8-cfb3-42b2-89cd-50bb724696d0 · 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 Non-Reversible Langevin Algorithms for Constrained Sampling

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:04:32.594181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-30T09:01:49.886920Z digest=sha256:626346ffb745dcb70ed681f78e46a80d171ac6a303daddd93be6ddd2a9f58e61