Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-10T13:13:57.925643Z
Paper Citation Record · LEDGER
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion
As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.08091.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
23 of 23 outbound references displayed
- verified exact2
- verified fuzzy19
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation df602404-a8fa-4b02-8411-d18ab2f77343 · outbound
This paper cites A multi-dimensional srbm: geometric views of its product form stationary distribution.Queueing Systems, 78(4):313–335, 2014.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion A multi-dimensional srbm: geometric views of its product form stationary distribution.Queueing Systems, 78(4):313–335, 2014
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.537751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a7b84cb8-a6c6-45d8-bcef-0ce906339526 · outbound
This paper cites Efficient steady-state simulation of high-dimensional stochastic networks.Stochastic Systems, 11(2):174–192, 2021.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Efficient steady-state simulation of high-dimensional stochastic networks.Stochastic Systems, 11(2):174–192, 2021
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.539426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5f845631-d6a9-45df-a0f6-5f8e13718071 · outbound
This paper cites A unified framework for numerically inverting laplace trans- forms.INFORMS Journal on Computing, 18(4):408–421, 2006.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion A unified framework for numerically inverting laplace trans- forms.INFORMS Journal on Computing, 18(4):408–421, 2006
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.532213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2321a8dc-4d40-48a8-bdb6-883f6f6e6eb3 · outbound
This paper cites Deep learning for computing convergence rates of markov chains.Advances in Neural Information Processing Systems, 37:84777–84798, 2024.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Deep learning for computing convergence rates of markov chains.Advances in Neural Information Processing Systems, 37:84777–84798, 2024
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.534089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d78e5e5a-cf65-4e75-9253-87f69ecb8c94 · outbound
This paper cites Deep learning for markov chains: Lyapunov functions, poisson’s equation, and stationary distributions.Queueing Systems, 110(1):10, 2026.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Deep learning for markov chains: Lyapunov functions, poisson’s equation, and stationary distributions.Queueing Systems, 110(1):10, 2026
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.530278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4d425897-e8b0-40e4-8c43-a40fa42b6eec · outbound
This paper cites an unresolved cited work.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-07-10T13:27:06.528655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a120a5c8-98b9-4500-bd65-d625ca338b78 · outbound
This paper cites Solving high-dimensional partial differential equa- tions using deep learning.Proceedings of the National Academy of Sciences, 115(34):8505–8510, 2018.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Solving high-dimensional partial differential equa- tions using deep learning.Proceedings of the National Academy of Sciences, 115(34):8505–8510, 2018
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.535802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 03e0789e-a543-4dbf-838c-e114a1bb2193 · outbound
This paper cites Dynamic control of stochastic matching systems in heavy traffic: An effective computational method for high-dimensional problems.arXiv preprint arXiv:2509.00809, 2025.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Dynamic control of stochastic matching systems in heavy traffic: An effective computational method for high-dimensional problems.arXiv preprint arXiv:2509.00809, 2025
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-10T13:17:05.960303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 12cba751-e2e3-495a-8744-0bc4821e39e4 · outbound
This paper cites Dynamic scheduling of a multiclass queue in the halfin–whitt regime: A computational approach for high-dimensional problems.Management Science, 2025.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Dynamic scheduling of a multiclass queue in the halfin–whitt regime: A computational approach for high-dimensional problems.Management Science, 2025
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.541160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a8837ee7-dbba-4498-8411-430fc0b0d9ce · outbound
This paper cites A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T13:17:05.963082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fe1da968-bc6c-40fa-b8d1-460f04646437 · outbound
This paper cites Driftcontrolofhigh-dimensionalreflectedbrownian motion: Acomputationalmethodbasedonneuralnetworks.Stochastic Systems, 15(2):111–146, 2025.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Driftcontrolofhigh-dimensionalreflectedbrownian motion: Acomputationalmethodbasedonneuralnetworks.Stochastic Systems, 15(2):111–146, 2025
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.521697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c0829da0-d760-4b71-87ba-8c094d06c40f · outbound
This paper cites Singular control of (reflected) brownian motion: A computational method suitable for queueing applications.Queueing Systems, 108(3):215–251, 2024.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Singular control of (reflected) brownian motion: A computational method suitable for queueing applications.Queueing Systems, 108(3):215–251, 2024
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.525241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b272b427-e8ea-475a-a4dd-4394da1f8f01 · outbound
This paper cites Algorithms for solving high dimensional pdes: from nonlinear monte carlo to machine learning.Nonlinearity, 35(1):278, 2021.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Algorithms for solving high dimensional pdes: from nonlinear monte carlo to machine learning.Nonlinearity, 35(1):278, 2021
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.517543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4fec603d-f72b-460c-aba9-c82b00c33b1c · outbound
This paper cites Solving the quantum many-body problem with artificial neural networks.Science, 355(6325):602–606.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Solving the quantum many-body problem with artificial neural networks.Science, 355(6325):602–606
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.515593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation de1a08ba-b1ed-402a-aef9-08e8605fa96a · outbound
This paper cites The deep ritz method: a deep learning-based numerical algorithm for solving variational problems.Communications in Mathematics and Statistics, 6(1):1–12.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion The deep ritz method: a deep learning-based numerical algorithm for solving variational problems.Communications in Mathematics and Statistics, 6(1):1–12
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.519804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e5a647e7-b511-45c6-a669-7b06c2b12a1f · outbound
This paper cites Dgm: A deep learning algorithm for solving partial differential equations.Journal of computational physics, 375:1339–1364.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Dgm: A deep learning algorithm for solving partial differential equations.Journal of computational physics, 375:1339–1364
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.523432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e0feccb6-895e-46d7-89e0-0be9be4f5b0e · outbound
This paper cites The accurate numerical inversion of laplace transforms.IMA Journal of Applied Mathematics, 23(1):97–120, 1979.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion The accurate numerical inversion of laplace transforms.IMA Journal of Applied Mathematics, 23(1):97–120, 1979
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.510325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fdc06718-6455-4165-9398-092354141289 · outbound
This paper cites Optimizing talbot’s contours for the inversion of the laplace trans- form.SIAM Journal on Numerical Analysis, 44(6):2342–2362, 2006.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Optimizing talbot’s contours for the inversion of the laplace trans- form.SIAM Journal on Numerical Analysis, 44(6):2342–2362, 2006
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.508687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c1b4e0fb-07e1-4eea-8663-65c6e5a03ef9 · outbound
This paper cites Thefourier-seriesmethodforinvertingtransformsofprobability distributions.Queueing systems, 10(1):5–87, 1992.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Thefourier-seriesmethodforinvertingtransformsofprobability distributions.Queueing systems, 10(1):5–87, 1992
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.512069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 56329684-a980-4db1-94e9-ed4dbcecb6ba · outbound
This paper cites Reflected brownian motion in an orthant: numerical methods for steady-state analysis.The Annals of Applied Probability, 2(1):65–86, 1992.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Reflected brownian motion in an orthant: numerical methods for steady-state analysis.The Annals of Applied Probability, 2(1):65–86, 1992
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.505115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bc6e29e4-082f-4cf6-9ece-982cfbdeb32e · outbound
This paper cites The diffusion approximation for tandem queues in heavy traffic.Advances in Applied Probability, 10(4):886–905, 1978.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion The diffusion approximation for tandem queues in heavy traffic.Advances in Applied Probability, 10(4):886–905, 1978
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.506858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 64ad0c39-29a0-4f92-8b7c-8f661a230c41 · outbound
This paper cites an unresolved cited work.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-07-10T13:27:06.513786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f142982b-2a3a-40c7-bad2-247238955d74 · outbound
This paper cites Numerical computation of the moments of a probability distribution from its transform.Operations Research, 44(2):368–381, 1996.
Deep Learning Method for Stationary Distribution of Reflected Brownian Motion Numerical computation of the moments of a probability distribution from its transform.Operations Research, 44(2):368–381, 1996
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-10T13:27:06.526942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.