Paper Citation Record · LEDGER

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers

As of 16 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:1908.10515.

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

pith.paper-citation-record.v1
1908.10515 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:46:21.261077Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T18:35:19.456505Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T18:38:07.620676Z

Reference resolution

40 of 40 outbound references displayed

verified exact4
verified fuzzy13
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8b74c43-f20a-4fd4-a896-19b64d624651 · outbound

This paper cites LeCun, Y.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers LeCun, Y

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.058102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e032d33-3061-4f4b-96df-5757e2c20498 · outbound

This paper cites Goodfellow, J.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Goodfellow, J

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.962573Z

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 2ec9de96-45dd-40dd-8607-00eb63a0f204 · outbound

This paper cites Tabor, M.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Tabor, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.945528Z

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 2e46174a-6c2f-42bd-82c9-13ffa90dc303 · outbound

This paper cites Wu, Inﬂow turbulence generation methods, Annu.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Wu, Inﬂow turbulence generation methods, Annu

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.929040Z

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 e25556ef-3058-4686-b87d-b84449ffd26e · outbound

This paper cites an unresolved cited work.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:46:21.913036Z

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 b2d21d76-98a2-48a5-bd04-7d00c348615b · outbound

This paper cites an unresolved cited work.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:46:21.896555Z

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 667e9bce-fb77-4299-9cbf-da6fd48b2729 · outbound

This paper cites an unresolved cited work.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:46:21.880088Z

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 f7f3d8c3-40d1-4c70-8d55-336dc064aa2a · outbound

This paper cites an unresolved cited work.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:46:21.864371Z

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 f5839abf-62fd-4a5c-9c12-57c78b34d8ea · outbound

This paper cites Klein, A.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Klein, A

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.846080Z

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 725e4acf-6b44-4353-950d-fbdc1a29912b · outbound

This paper cites Jarrin, S.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Jarrin, S

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.829946Z

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 91386a12-fe06-462b-a349-d481145703eb · outbound

This paper cites an unresolved cited work.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:46:21.813302Z

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 cde99e58-8ecd-4360-baeb-320b212e485a · outbound

This paper cites Keating, U.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Keating, U

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.797799Z

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 1d398011-ebd6-4537-bb33-d946a4b64655 · outbound

This paper cites From Deep to Physics-Informed Learning of Turbulence: Diagnostics.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers From Deep to Physics-Informed Learning of Turbulence: Diagnostics

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.118772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8b76f33-60f9-4fb6-9978-8dfc778d351f · outbound

This paper cites Compressed Convolutional LSTM: An Efficient Deep Learning framework to Model High Fidelity 3D Turbulence.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Compressed Convolutional LSTM: An Efficient Deep Learning framework to Model High Fidelity 3D Turbulence

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.124287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c428d78-9511-4ca7-a6d4-a2817a752c6d · outbound

This paper cites Fukami, Y.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Fukami, Y

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.781229Z

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 3ab33708-041b-468d-8e09-ec5c7df091e7 · outbound

This paper cites Prediction of laminar vortex shedding over a cylinder using deep learning.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Prediction of laminar vortex shedding over a cylinder using deep learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.134460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40ba96f6-8e71-4723-b880-fca8cefd2cf5 · outbound

This paper cites Data-driven prediction of unsteady flow fields over a circular cylinder using deep learning.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Data-driven prediction of unsteady flow fields over a circular cylinder using deep learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:46:21.545044Z

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 35b1fc6a-52a5-4a18-8a42-1bdd595229ea · outbound

This paper cites R ¨uttgers, S.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers R ¨uttgers, S

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.764756Z

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 9879b6c2-937c-452c-9a58-ad5cd878f5b0 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.150735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a14ad374-93a8-44e3-b70e-e2b00c4cb9d6 · outbound

This paper cites Wasserstein GAN.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Wasserstein GAN

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.155989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa2f37b6-8a91-4d14-9866-dd74385ae69d · outbound

This paper cites Gulrajani, F.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Gulrajani, F

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.744349Z

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 92384e4e-cd11-44a0-b97b-7067e6bb264d · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.166332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce816fe4-a49a-4f61-bbe1-918ecd9c250a · outbound

This paper cites an unresolved cited work.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:46:21.728666Z

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 28468462-851f-4886-88df-4a083c4442aa · outbound

This paper cites Which Training Methods for GANs do actually Converge?.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Which Training Methods for GANs do actually Converge?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.176075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3448bd57-ee32-4a6e-b0a4-f6a188eafa68 · outbound

This paper cites A Style-Based Generator Architecture for Generative Adversarial Networks.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers A Style-Based Generator Architecture for Generative Adversarial Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.181435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f8572ce-86dc-4832-b5c4-a070579a4e6b · outbound

This paper cites tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:46:21.440252Z

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 bda9a999-01b5-4c82-bd76-ff9459b6f60f · outbound

This paper cites Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.193431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8affc442-0ab3-4492-bce9-c53443614c0d · outbound

This paper cites an unresolved cited work.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:46:21.712247Z

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 051132a2-5b6c-4687-8d59-416821aee196 · outbound

This paper cites Garc ´ıa-Villalba, J.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Garc ´ıa-Villalba, J

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.694596Z

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 c6d90a4f-0627-4f7d-a146-323b27f7943a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Adam: A Method for Stochastic Optimization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.209644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bffcc936-4089-40ea-a78e-1aac178d6f15 · outbound

This paper cites Abadi, A.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Abadi, A

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.676862Z

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 28d0d9da-a595-43e6-bb4e-330ec5b39392 · outbound

This paper cites BEGAN: Boundary Equilibrium Generative Adversarial Networks.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers BEGAN: Boundary Equilibrium Generative Adversarial Networks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.220395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eab8f87b-f276-4ce1-8190-9162fbfc872d · outbound

This paper cites an unresolved cited work.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:46:21.661087Z

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 ada2c0e5-d6ce-45ee-acb8-a357836a0851 · outbound

This paper cites Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:46:21.365302Z

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 242dd19e-eff1-4c65-ac67-3261397f2a7a · outbound

This paper cites IndyLSTMs: Independently Recurrent LSTMs.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers IndyLSTMs: Independently Recurrent LSTMs

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-14T10:46:21.340832Z

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 33617592-9b6b-4957-be53-8da43abed889 · outbound

This paper cites an unresolved cited work.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-14T10:46:21.645249Z

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 23ce4943-1cee-4129-be28-e0bde1d96ef0 · outbound

This paper cites A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d07d4040-736c-41fa-a45c-a577a9bd21b3 · outbound

This paper cites Recurrent Batch Normalization.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Recurrent Batch Normalization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-14T10:46:21.251095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa4ddf2-0131-4d9c-9468-1707f85c5359 · outbound

This paper cites Saito, E.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Saito, E

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.629130Z

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 d1e95c3a-7a01-4c70-b4fb-b0a079609956 · outbound

This paper cites Quadrio, P.

Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers Quadrio, P

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:46:21.612746Z

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

Observation 36c56eb1-be22-4f06-9686-2ae884bfe015 · inbound

Extending deep learning U-Net architecture for predicting unsteady fluid flows in textured microchannels cites this paper.

Extending deep learning U-Net architecture for predicting unsteady fluid flows in textured microchannels Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:38:07.622156Z

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.