Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:07:49.349585Z
Paper Citation Record · LEDGER
Non-Linear Super-Stencils for Turbulence Model Corrections
As of 13 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2411.16493.
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 2026-08-13T06:32:02.005865+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
27 of 27 outbound references displayed
- verified exact1
- verified fuzzy15
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 42e2e6f0-c0c6-4e82-a0a0-4e7470570ca1 · outbound
This paper cites an unresolved cited work.
Non-Linear Super-Stencils for Turbulence Model Corrections Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T13:07:49.609417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 08b406dc-bace-4ae7-bc62-d88467fb4e5f · outbound
This paper cites an unresolved cited work.
Non-Linear Super-Stencils for Turbulence Model Corrections Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T13:07:49.599215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1389607a-ee06-4bbc-b577-d4cd57189280 · outbound
This paper cites Turbulence Modeling in the Age of Data.Annual Review of Fluid Mechanics , 51(1):357–377, 2019.
Non-Linear Super-Stencils for Turbulence Model Corrections Turbulence Modeling in the Age of Data.Annual Review of Fluid Mechanics , 51(1):357–377, 2019
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:07:49.277381Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c1ce439-4fd7-4e73-99c2-d560eaedadd2 · outbound
This paper cites DNS-Based Turbulent Closures for Sediment Transport Using Symbolic Regression.Flow, Turbulence and Combustion, 112(1):217–241, January 2024.
Non-Linear Super-Stencils for Turbulence Model Corrections DNS-Based Turbulent Closures for Sediment Transport Using Symbolic Regression.Flow, Turbulence and Combustion, 112(1):217–241, January 2024
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.590360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8b586c9f-ca91-4684-9274-cb3850ca986f · outbound
This paper cites A wall model for separated flows: embedded learning to improve a posteriori performance.
Non-Linear Super-Stencils for Turbulence Model Corrections A wall model for separated flows: embedded learning to improve a posteriori performance
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T13:07:49.402177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3f66fb5d-8130-4b4b-abc1-c744ef33859d · outbound
This paper cites Active learning of data-assimilation closures using Graph Neural Networks.
Non-Linear Super-Stencils for Turbulence Model Corrections Active learning of data-assimilation closures using Graph Neural Networks
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:07:49.287901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9758972e-886f-4e67-89c1-334b5bc5ff80 · outbound
This paper cites Frame-independent vector-cloud neural network for nonlocal con- stitutive modeling on arbitrary grids.
Non-Linear Super-Stencils for Turbulence Model Corrections Frame-independent vector-cloud neural network for nonlocal con- stitutive modeling on arbitrary grids
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.580589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d52759fd-ad30-48d0-bbd9-c9fb868c2ae3 · outbound
This paper cites The Graph Neural Network Model.
Non-Linear Super-Stencils for Turbulence Model Corrections The Graph Neural Network Model
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.571018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d1f6d00c-5350-4964-b61f-aaa54152f185 · outbound
This paper cites Reynolds averaged turbulence modelling using deep neural networks with embedded invariance.
Non-Linear Super-Stencils for Turbulence Model Corrections Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.561918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d9d60dc3-6029-4604-a906-cf99f2395ee7 · outbound
This paper cites Boureima, V.
Non-Linear Super-Stencils for Turbulence Model Corrections Boureima, V
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.552820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9fce74be-01db-4120-9b62-f8ed2ce53b85 · outbound
This paper cites Boussinesq.
Non-Linear Super-Stencils for Turbulence Model Corrections Boussinesq
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.544820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f5326fcd-e9b8-4742-88fe-f33d2660b8ca · outbound
This paper cites an unresolved cited work.
Non-Linear Super-Stencils for Turbulence Model Corrections Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T13:07:49.536491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6538c76f-96b3-4529-ba40-3dbffc8b3413 · outbound
This paper cites an unresolved cited work.
Non-Linear Super-Stencils for Turbulence Model Corrections Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T13:07:49.526693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 68d16a5a-baa3-4acc-be7d-5b8ad5623d47 · outbound
This paper cites Variational assimilation of sparse time-averaged data for efficient adjoint-based optimization of unsteady rans simulations.
Non-Linear Super-Stencils for Turbulence Model Corrections Variational assimilation of sparse time-averaged data for efficient adjoint-based optimization of unsteady rans simulations
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.517639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d9236ae5-6e14-454a-9083-f982dfd57843 · outbound
This paper cites Flows over periodic hills of parameterized geometries: A dataset for data-driven turbulence modeling from direct simulations.
Non-Linear Super-Stencils for Turbulence Model Corrections Flows over periodic hills of parameterized geometries: A dataset for data-driven turbulence modeling from direct simulations
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.507209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e6c8368d-021a-4b4e-9aaf-9eecc6d14dfc · outbound
This paper cites Large Eddy Simulation Requirements for the Flow over Periodic Hills.
Non-Linear Super-Stencils for Turbulence Model Corrections Large Eddy Simulation Requirements for the Flow over Periodic Hills
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.498153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2f31e2ba-5aec-4578-8ea4-63439e6c01f4 · outbound
This paper cites A thorough description of how wall functions are implemented in openfoam.
Non-Linear Super-Stencils for Turbulence Model Corrections A thorough description of how wall functions are implemented in openfoam
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.488446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e8a8acec-25a6-4d99-b956-b6bac8e35258 · outbound
This paper cites an unresolved cited work.
Non-Linear Super-Stencils for Turbulence Model Corrections Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T13:07:49.476025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 68c20830-1b4b-4cdd-b1e4-e637ce33b562 · outbound
This paper cites In Nu- merical prediction of flow, heat transfer, turbulence and combustion , pages 54–73.
Non-Linear Super-Stencils for Turbulence Model Corrections In Nu- merical prediction of flow, heat transfer, turbulence and combustion , pages 54–73
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.467178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 28fa73c0-1ddb-410c-b3a0-84fb2ccafe4c · outbound
This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St´ efan J.
Non-Linear Super-Stencils for Turbulence Model Corrections Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St´ efan J
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:07:49.330201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd9c15bd-8b68-4524-a282-d34a551b5e3f · outbound
This paper cites Torchscript: Optimized execution of pytorch programs.
Non-Linear Super-Stencils for Turbulence Model Corrections Torchscript: Optimized execution of pytorch programs
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.451937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ec7d2d3f-b134-4373-a9e1-d07c0941f74a · outbound
This paper cites Multilayer feedforward networks are universal approx- imators.
Non-Linear Super-Stencils for Turbulence Model Corrections Multilayer feedforward networks are universal approx- imators
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.442715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d5855ee4-ca05-4e65-aa53-8a24575f0af1 · outbound
This paper cites Highway networks, 2015.
Non-Linear Super-Stencils for Turbulence Model Corrections Highway networks, 2015
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:07:49.338628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 946663d5-9163-4d63-a755-391f74e07c8f · outbound
This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift, 2015.
Non-Linear Super-Stencils for Turbulence Model Corrections Batch normalization: Accelerating deep network training by reducing internal covariate shift, 2015
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:07:49.341479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6e21ca5-cc98-40ef-8ffd-656c8abed72e · outbound
This paper cites Pytorch: An imperative style, high-performance deep learning library.
Non-Linear Super-Stencils for Turbulence Model Corrections Pytorch: An imperative style, high-performance deep learning library
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.422058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 44a3c15a-b10a-42f5-874f-6d5988d78058 · outbound
This paper cites Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation.
Non-Linear Super-Stencils for Turbulence Model Corrections Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:07:49.412718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3339768e-f350-462e-b983-bd3e9036fc73 · outbound
This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.
Non-Linear Super-Stencils for Turbulence Model Corrections On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:07:49.349585Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.