Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T23:51:07.084890Z
Paper Citation Record · LEDGER
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement
As of 11 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2412.19927.
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 2026-08-11T06:34:44.6726+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
50 of 50 outbound references displayed
- verified exact2
- verified fuzzy40
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 905ee5e7-d485-48ba-9547-e3e371263c82 · outbound
This paper cites Gulf stream shifts following enso events.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Gulf stream shifts following enso events
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.564753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f9c85724-0848-4a20-a92e-ec943b6e2b92 · outbound
This paper cites el ni˜ no.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement el ni˜ no
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.555536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a4dbebcb-611d-4e0f-8612-20464596ced7 · outbound
This paper cites Integration of fully 3d fluid dynamics and geophysical fluid dynamics models for multiphysics coastal ocean flows: Simulation of lo- cal complex free-surface phenomena.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Integration of fully 3d fluid dynamics and geophysical fluid dynamics models for multiphysics coastal ocean flows: Simulation of lo- cal complex free-surface phenomena
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.547141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bd9104a9-a5d3-4c18-b969-2af6d859f60b · outbound
This paper cites Deep learning to represent subgrid processes in climate models.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Deep learning to represent subgrid processes in climate models
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.538283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f9885071-5dd0-4eaa-82a9-fb41ff9d24a4 · outbound
This paper cites an unresolved cited work.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T23:51:07.529325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 724face0-2635-414e-87df-179c3ee75b48 · outbound
This paper cites Large eddy simulation for incompress- ible flows: an introduction.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Large eddy simulation for incompress- ible flows: an introduction
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.520569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6bfb7914-aa4f-40f6-a2f9-f9b537760537 · outbound
This paper cites Self-contained filtered density function.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Self-contained filtered density function
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.511044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ebbf9786-af31-4501-b476-d6565df8df69 · outbound
This paper cites Super-resolution image reconstruction: a technical overview.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Super-resolution image reconstruction: a technical overview
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.501287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c9010dbf-e15e-4cd3-8d5d-0468b90b67ec · outbound
This paper cites Understanding of a convolutional neural net- work.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Understanding of a convolutional neural net- work
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.491081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2278a1ff-a0de-453d-a953-94db2a18f067 · outbound
This paper cites Learning a deep convolutional network for image super-resolution.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Learning a deep convolutional network for image super-resolution
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.482092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 83ea042b-10c2-443e-b6ba-ffd6297fb26a · outbound
This paper cites Residual Dense Network for Image Super-Resolution.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Residual Dense Network for Image Super-Resolution
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T23:51:07.165204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6e929bf6-cbff-4a2a-9ee9-a65bf4c5a823 · outbound
This paper cites Fast, accurate, and lightweight super-resolution with cascading residual network.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Fast, accurate, and lightweight super-resolution with cascading residual network
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.472745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 20ea1a87-768c-4f74-966f-427cd6f716d7 · outbound
This paper cites Second-order attention network for sin- gle image super-resolution.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Second-order attention network for sin- gle image super-resolution
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.463456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0da6f49d-4499-4263-9091-72abd015062c · outbound
This paper cites A fast and efficient super- resolution network using hierarchical dense residual learning.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement A fast and efficient super- resolution network using hierarchical dense residual learning
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.454169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 539a6a52-e03b-478d-af6b-a8acddfee1dc · outbound
This paper cites Image super-resolution using very deep residual channel attention networks.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Image super-resolution using very deep residual channel attention networks
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:51:06.976142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e8c4daa-a1f5-433a-b46c-4c059926a280 · outbound
This paper cites Photo-realistic single image super- resolution using a generative adversarial network.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Photo-realistic single image super- resolution using a generative adversarial network
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.439025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2b7d1704-6b20-45cd-b8e0-ee5ecf4fe227 · outbound
This paper cites Recovering realistic texture in image super- resolution by deep spatial feature transform.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Recovering realistic texture in image super- resolution by deep spatial feature transform
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.429527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a023963c-a780-4777-9a26-c96c7692bad3 · outbound
This paper cites Esr- gan: Enhanced super-resolution generative adversarial networks.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Esr- gan: Enhanced super-resolution generative adversarial networks
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.420208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5cdcc7a8-7de8-4d18-83bf-7a07453cca86 · outbound
This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Progressive Growing of GANs for Improved Quality, Stability, and Variation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:51:06.988312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e870604b-e5ce-4e96-9aed-ba1ecac206d5 · outbound
This paper cites Robust super-resolution gan, with manifold-based and percep- tion loss.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Robust super-resolution gan, with manifold-based and percep- tion loss
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.410890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6b945b4a-4898-4c01-85c1-f9660f4852fb · outbound
This paper cites MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement MFAGAN: A Compression Framework for Memory-Efficient On-Device Super-Resolution GAN
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T23:51:07.143942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 336b6634-9214-48f7-9632-c7b873e24439 · outbound
This paper cites Ranksrgan: Generative adversarial networks with ranker for image super-resolution.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Ranksrgan: Generative adversarial networks with ranker for image super-resolution
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.400618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a09ab9fd-80a0-4696-b707-80c8e82b7b76 · outbound
This paper cites Adversarial generation of continuous im- ages.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Adversarial generation of continuous im- ages
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.390285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation affb087e-7e9d-4bf6-bca2-3415e74249e2 · outbound
This paper cites Learning Copyright © 2025 by SIAM Unauthorized reproduction of this article is prohibited continuous image representation with local implicit image function.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Learning Copyright © 2025 by SIAM Unauthorized reproduction of this article is prohibited continuous image representation with local implicit image function
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.380495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 37bcaa49-bf5c-419e-8a2f-21b20a144062 · outbound
This paper cites Magnet: Mesh agnostic neural pde solver.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Magnet: Mesh agnostic neural pde solver
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.370765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5ece0c90-34fb-426c-ad32-d1585a0c0e39 · outbound
This paper cites Videoinr: Learning video implicit neural representation for continuous space-time super- resolution.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Videoinr: Learning video implicit neural representation for continuous space-time super- resolution
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.361280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e852fcbd-4a05-4a78-b552-f5e98de53758 · outbound
This paper cites Cross- modality high-frequency transformer for mr image super-resolution.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Cross- modality high-frequency transformer for mr image super-resolution
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.351849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation cc35f6f8-3be5-4328-8078-0012f5fa25cc · outbound
This paper cites Transformer for single image super-resolution.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Transformer for single image super-resolution
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:51:07.016588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a6a89cb-b256-4266-9f61-5021bb5cff14 · outbound
This paper cites A hybrid network of cnn and transformer for lightweight image super-resolution.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement A hybrid network of cnn and transformer for lightweight image super-resolution
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.337293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a6afe98f-dc72-49ef-9c4f-7105f1e6099e · outbound
This paper cites Detail-preserving transformer for light field image super-resolution.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Detail-preserving transformer for light field image super-resolution
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.328270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 332ac14d-5c82-420d-9c93-b991bcce2caa · outbound
This paper cites Self-calibrated efficient trans- former for lightweight super-resolution.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Self-calibrated efficient trans- former for lightweight super-resolution
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.319278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 94ed578d-3949-4256-9723-5a49c932e9d9 · outbound
This paper cites Light field image super-resolution with transformers.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Light field image super-resolution with transformers
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.310578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 96ebff21-d7fa-4d30-b7b1-763719e3994a · outbound
This paper cites Super-resolution reconstruction of turbulent flows with machine learning.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Super-resolution reconstruction of turbulent flows with machine learning
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.301766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ce9c0d06-a5ce-4216-9023-50e7bbb0fecc · outbound
This paper cites Machine-learning-based spatio-temporal super resolu- tion reconstruction of turbulent flows.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Machine-learning-based spatio-temporal super resolu- tion reconstruction of turbulent flows
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.292321Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4a1d0f94-c20e-45c0-b64e-e4a079869a63 · outbound
This paper cites Deep learning methods for super-resolution re- construction of turbulent flows.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Deep learning methods for super-resolution re- construction of turbulent flows
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.283288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0d3263b9-5efb-4df0-8624-06483c4462e2 · outbound
This paper cites Super-resolution reconstruction of turbulent velocity fields using a generative adver- sarial network-based artificial intelligence framework.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Super-resolution reconstruction of turbulent velocity fields using a generative adver- sarial network-based artificial intelligence framework
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.273425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5cebc692-56d9-467b-9031-79429f85f594 · outbound
This paper cites Super-resolution reconstruction for the three-dimensional turbulence flows with a back- projection network.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Super-resolution reconstruction for the three-dimensional turbulence flows with a back- projection network
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.264636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c5917dcb-b37d-4fae-8532-fee7438b16fd · outbound
This paper cites Super-resolution reconstruction of turbulent flows with a transformer-based deep learning framework.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Super-resolution reconstruction of turbulent flows with a transformer-based deep learning framework
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.255356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 831af05f-f558-4f27-9f6f-b2358f663520 · outbound
This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Fourier Neural Operator for Parametric Partial Differential Equations
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:51:07.050881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dd381ad-9471-489b-b4ba-202e450881b5 · outbound
This paper cites Multi-Scale Message Passing Neural PDE Solvers.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Multi-Scale Message Passing Neural PDE Solvers
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:51:07.054094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fa65773-f187-45e1-9a0b-e2a08db9e29c · outbound
This paper cites Physics guided neural networks for spatio-temporal super- resolution of turbulent flows.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Physics guided neural networks for spatio-temporal super- resolution of turbulent flows
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.245420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation dff1ccaf-cdc4-40c2-b76c-8668da717592 · outbound
This paper cites Forced isotropic turbulence data set (extended).
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Forced isotropic turbulence data set (extended)
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.236092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e7a54761-f2c0-41dc-81d4-591a290ab8f3 · outbound
This paper cites The taylor-green vortex and fully developed turbulence.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement The taylor-green vortex and fully developed turbulence
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.227111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6240803a-9722-4d9f-b047-68394e4ec87f · outbound
This paper cites Runge-kutta methods.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Runge-kutta methods
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.217784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9b65eab4-9887-4680-8f27-f5562114b706 · outbound
This paper cites Numerical partial differen- tial equations: finite difference methods , volume 22.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Numerical partial differen- tial equations: finite difference methods , volume 22
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.208731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a9427d9a-c91b-4bf7-b1cb-79b4fa084e12 · outbound
This paper cites Long short- term memory.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Long short- term memory
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:51:07.072470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebcec337-89a2-45c0-a0bb-f48c47c1694c · outbound
This paper cites Image quality assessment: from error visibility to structural similarity.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Image quality assessment: from error visibility to structural similarity
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.193787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c18f929c-7a30-4e5e-9ccd-7028788c16b8 · outbound
This paper cites Laplace operator — Wikipedia, the free encyclopedia, 2022.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Laplace operator — Wikipedia, the free encyclopedia, 2022
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T23:51:07.184443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d12bc55d-796a-4c38-81df-7894ad5ebadd · outbound
This paper cites zero- shot.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement zero- shot
Reference 49
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Observation f4e1852e-cd13-432a-9b96-42fe63bed40d · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Modeling Continuous Spatial-temporal Dynamics of Turbulent Flow with Test-time Refinement Adam: A Method for Stochastic Optimization
Reference 50
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