Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:58:38.414050Z
Paper Citation Record · LEDGER
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning
As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2501.00046.
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 2026-08-16T06:30:59.297886+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
42 of 42 outbound references displayed
- verified exact0
- verified fuzzy36
- unresolved6
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5037b467-4373-4ca2-a7fd-48b00f838f5f · outbound
This paper cites 1986 The Kuramoto-Sivashinsky equation: a bridge between PDE’s and dynamical systems.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 1986 The Kuramoto-Sivashinsky equation: a bridge between PDE’s and dynamical systems
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.682485Z
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.
Observation 6667aef1-c019-4d21-928a-ffb2cfc436cf · outbound
This paper cites 2010 On the state space geometry of the Kuramoto– Sivashinsky flow in a periodic domain.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2010 On the state space geometry of the Kuramoto– Sivashinsky flow in a periodic domain
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.668100Z
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.
Observation 98e90e68-65e5-490b-9593-8259ce471839 · outbound
This paper cites 1975 On the formation of dissipative structures in reaction-diffusion systems: Reductive perturbation approach.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 1975 On the formation of dissipative structures in reaction-diffusion systems: Reductive perturbation approach
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.653356Z
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.
Observation d5da5973-bbd9-42fc-a3f8-0d990d2ce8b5 · outbound
This paper cites 1988 Nonlinear analysis of hydrodynamic instability in laminar flames—I.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 1988 Nonlinear analysis of hydrodynamic instability in laminar flames—I
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.638333Z
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.
Observation 77b94c55-53a3-4e48-a5d6-594a002950cb · outbound
This paper cites 2014 Nonlinear dynamics and chaos: With applications to physics, biology, chemistry, and engineering.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2014 Nonlinear dynamics and chaos: With applications to physics, biology, chemistry, and engineering
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.622521Z
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.
Observation cc6b1379-4a3a-4350-b759-a5a4b0aee73f · outbound
This paper cites 1982 The strange attractor theory of turbulence.Annual Review of Fluid Mechanics 14, 347–364.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 1982 The strange attractor theory of turbulence.Annual Review of Fluid Mechanics 14, 347–364
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.567464Z
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.
Observation 8dca96d7-fba2-4ec6-b3a2-e4e08cbd0ccb · outbound
This paper cites 2005 Recent progress in understanding the transition to turbulence in a pipe.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2005 Recent progress in understanding the transition to turbulence in a pipe
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.470771Z
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.
Observation 25ba015e-3305-4b76-8f24-38b1961cca6d · outbound
This paper cites 2011 The Significance of Simple Invariant Solutions in Turbulent Flows.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2011 The Significance of Simple Invariant Solutions in Turbulent Flows
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.420276Z
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.
Observation 36dbd4b8-c78b-4c34-bdc9-8939d2290518 · outbound
This paper cites 2021 Exact Coherent States and the Nonlinear Dynamics of Wall- Bounded Turbulent Flows.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2021 Exact Coherent States and the Nonlinear Dynamics of Wall- Bounded Turbulent Flows
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.405330Z
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.
Observation c473ad43-5693-44d7-960f-7fec5a0a5587 · outbound
This paper cites 1986 The well-posedness of the Kuramoto–Sivashinsky equation.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 1986 The well-posedness of the Kuramoto–Sivashinsky equation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.390327Z
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.
Observation 869b016f-c78f-4727-8dd8-3dc7b0dae516 · outbound
This paper cites 1991 Predicting chaos for infinite dimensional dynamical systems: the Kuramoto-Sivashinsky equation, a case study..Proceedings of the National Academy of Sciences 88, 11129–11132.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 1991 Predicting chaos for infinite dimensional dynamical systems: the Kuramoto-Sivashinsky equation, a case study..Proceedings of the National Academy of Sciences 88, 11129–11132
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.375274Z
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.
Observation 8d6f8300-728c-4a3a-acb5-267d64a58e7e · outbound
This paper cites 1990 Back in the saddle again: a computer assisted study of the Kuramoto–Sivashinsky equation.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 1990 Back in the saddle again: a computer assisted study of the Kuramoto–Sivashinsky equation
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.360592Z
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.
Observation 5ae2ebe9-3a8e-426e-b199-5027ad652920 · outbound
This paper cites 2019 Linearly recurrent autoencoder networks for learning dynamics.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2019 Linearly recurrent autoencoder networks for learning dynamics
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.344787Z
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.
Observation 4f8bec65-fc2e-4bfe-b4f2-bb84999cdc6f · outbound
This paper cites 1988 The steady states of the Kuramoto-Sivashinsky equation.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 1988 The steady states of the Kuramoto-Sivashinsky equation
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.329567Z
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.
Observation c16c3979-8e34-4a6b-b008-03a36ce0550b · outbound
This paper cites 2008 Unstable recurrent patterns in Kuramoto-Sivashinsky dynamics.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2008 Unstable recurrent patterns in Kuramoto-Sivashinsky dynamics
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.313839Z
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.
Observation 3bb9a68e-7eef-4662-b284-eef5466e38ed · outbound
This paper cites 2004 Jacobian-free Newton–Krylov methods: a survey of approaches and applications.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2004 Jacobian-free Newton–Krylov methods: a survey of approaches and applications
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.298502Z
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.
Observation 8602ba92-d3f9-4573-912b-d345486a5b74 · outbound
This paper cites Asymmetric Actor Critic for Image-Based Robot Learning.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning Asymmetric Actor Critic for Image-Based Robot Learning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:58:38.113225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5251836a-eb0e-41f6-b2a1-8473a3de6cd6 · outbound
This paper cites An Actor-Critic Algorithm for Sequence Prediction.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning An Actor-Critic Algorithm for Sequence Prediction
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:58:38.118420Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de3bdbfc-b7c3-4026-84fe-b2ffbf84b18c · outbound
This paper cites Playing Atari with Deep Reinforcement Learning.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning Playing Atari with Deep Reinforcement Learning
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:58:38.124139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9de5cab0-b3aa-4eaa-a7c4-6e27e1a217a9 · outbound
This paper cites 2017 Mastering the game of go without human knowledge.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2017 Mastering the game of go without human knowledge
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.283330Z
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.
Observation fbb04a38-a2bc-4709-84e9-1b0c8d100220 · outbound
This paper cites 2019 Learning to drive in a day.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2019 Learning to drive in a day
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.202198Z
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.
Observation 582199cd-a91a-439f-9cb9-203adabd08a6 · outbound
This paper cites 2020 Machine Learning for Fluid Mechanics.Annual Review of Fluid Mechanics 52, 477–508.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2020 Machine Learning for Fluid Mechanics.Annual Review of Fluid Mechanics 52, 477–508
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.165261Z
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.
Observation 9fce1897-2c5d-45d9-b8f9-e0cedc40653b · outbound
This paper cites 2020 Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2020 Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.149850Z
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.
Observation 141497d2-bd9c-47b2-b0aa-bd65c6d0d613 · outbound
This paper cites 2019 Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control.Journal of fluid mechanics 865, 281–302.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2019 Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control.Journal of fluid mechanics 865, 281–302
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.134644Z
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.
Observation f45641e7-35d4-4b55-842b-ef35427857a1 · outbound
This paper cites 2021 Robust flow control and optimal sensor placement using deep reinforcement learning.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2021 Robust flow control and optimal sensor placement using deep reinforcement learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.119306Z
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.
Observation 63235c03-6aeb-4619-a040-941350a851b3 · outbound
This paper cites 2022 Reinforcement-learning-based control of confined cylinder wakes with stability analyses.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2022 Reinforcement-learning-based control of confined cylinder wakes with stability analyses
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.103339Z
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.
Observation 1b33bc67-93bf-4031-a50d-e44df463b9ed · outbound
This paper cites 2023 Reinforcement-learning-based control of convectively unstable flows.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2023 Reinforcement-learning-based control of convectively unstable flows
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.088537Z
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.
Observation 1aa90a85-2b03-4c71-b6a7-144afafc292e · outbound
This paper cites 2023 Reinforcement learning of control strategies for reducing skin friction drag in a fully developed turbulent channel flow.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2023 Reinforcement learning of control strategies for reducing skin friction drag in a fully developed turbulent channel flow
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.072924Z
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.
Observation 93e8d33a-91c8-4679-bc0c-f8c6900453be · outbound
This paper cites 2020 Controlling Rayleigh–Bénard convection via reinforcement learning.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2020 Controlling Rayleigh–Bénard convection via reinforcement learning
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.057829Z
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.
Observation 2012e563-1665-4d4d-a8a0-1a15715abfc8 · outbound
This paper cites 2018 On-line building energy optimization using deep reinforcement learning.IEEE transactions on smart grid 10, 3698–3708.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2018 On-line building energy optimization using deep reinforcement learning.IEEE transactions on smart grid 10, 3698–3708
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.041844Z
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.
Observation a6256ef9-afca-479f-a974-6569e8a969a1 · outbound
This paper cites 2020 Reinforcement learning for bluff body active flow control in experiments and simulations.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2020 Reinforcement learning for bluff body active flow control in experiments and simulations
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:39.026013Z
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.
Observation 3c88f585-fc38-476e-bfd1-b8e728388019 · outbound
This paper cites 2021 Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2021 Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:38.928989Z
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.
Observation 95dba1d2-b0c2-44bc-b596-9767bc6b6932 · outbound
This paper cites 2019 Control of chaotic systems by deep reinforcement learning.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2019 Control of chaotic systems by deep reinforcement learning
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:38.815580Z
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.
Observation 83193531-cfa6-476f-84e3-de7dfa0e75bc · outbound
This paper cites 2005 Fourth-order time-stepping for stiff PDEs.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2005 Fourth-order time-stepping for stiff PDEs
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:38.709501Z
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.
Observation 94b5bc5b-3f3f-4ff2-a5fd-7c139e6b1f67 · outbound
This paper cites 2015 An in-depth numerical study of the two- dimensional Kuramoto–Sivashinsky equation.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2015 An in-depth numerical study of the two- dimensional Kuramoto–Sivashinsky equation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:38.686218Z
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.
Observation 77383de3-25c4-4314-b9b7-6440955a8e5a · outbound
This paper cites Equilibria, periodic orbits and computing them.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning Equilibria, periodic orbits and computing them
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:58:38.203781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc4be6c4-f115-4a07-8da8-77be2247e9bd · outbound
This paper cites 2014 Deterministic policy gradient algorithms.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2014 Deterministic policy gradient algorithms
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:38.669984Z
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.
Observation 5cfb9522-4f53-4b1a-bca6-4d89d32d8169 · outbound
This paper cites Continuous control with deep reinforcement learning.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning Continuous control with deep reinforcement learning
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:58:38.254815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92966f9a-cef8-4413-a81c-7efae5b1f973 · outbound
This paper cites 2017 Surfing the edge: using feedback control to find nonlinear solutions.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2017 Surfing the edge: using feedback control to find nonlinear solutions
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:38.653802Z
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.
Observation 7033feea-75ab-4069-8216-ca4aa81f852a · outbound
This paper cites A Tutorial on Bayesian Optimization.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning A Tutorial on Bayesian Optimization
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:58:38.334812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dbc8150-bb96-4de1-8a75-4fa371b7daea · outbound
This paper cites 2012 Practical bayesian optimization of machine learning algorithms.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2012 Practical bayesian optimization of machine learning algorithms
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:38.637940Z
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.
Observation dd4d9f8f-737f-493f-9f8b-fa6eff6d0322 · outbound
This paper cites 2015 Scalable bayesian optimization using deep neural networks.
Numerical solutions of fixed points in two-dimensional Kuramoto-Sivashinsky equation expedited by reinforcement learning 2015 Scalable bayesian optimization using deep neural networks
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:58:38.621328Z
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.
Pith citing papers
No inbound Pith citation observations are available.