Paper Citation Record · LEDGER

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling

As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2501.13415.

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

pith.paper-citation-record.v1
2501.13415 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:15:39.470002Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy20
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a314a5d-4b46-48bd-a6ad-ccbc05c80766 · outbound

This paper cites Assessment of inner–outer interactions in the urban boundary layer using a predictive model.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Assessment of inner–outer interactions in the urban boundary layer using a predictive model

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:40.002276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14c67ae2-ed0b-465c-9095-b19e28de26e2 · outbound

This paper cites Data-driven assessment of arch vortices in simplified urban flows.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Data-driven assessment of arch vortices in simplified urban flows

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.972859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 843ea6d1-02a9-4e3e-830b-4b09e6999487 · outbound

This paper cites The transformative potential of machine learning for experiments in fluid mechanics.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling The transformative potential of machine learning for experiments in fluid mechanics

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.958866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 63d5d262-33f9-4f14-b37d-65d0c3dc9d4d · outbound

This paper cites Pedestrian exposure to black carbon and pm2.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Pedestrian exposure to black carbon and pm2

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.939196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 19a810ed-36df-489d-850e-cb5f3f5c52b9 · outbound

This paper cites Study of interscale interactions for turbulence over the obstacle arrays from a machine learning perspective.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Study of interscale interactions for turbulence over the obstacle arrays from a machine learning perspective

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.920699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 467b67fe-1bf4-4f11-8928-db40d27480ac · outbound

This paper cites Using machine learning to predict urban canopy flows for land surface modeling.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Using machine learning to predict urban canopy flows for land surface modeling

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.886214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2d04fb0-4778-4925-aa2c-c12f1ac3c909 · outbound

This paper cites A reduced order model for turbulent flows in the urban environment using machine learning.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling A reduced order model for turbulent flows in the urban environment using machine learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.855860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b6cd34e-fe74-423e-aedb-552cbd091f22 · outbound

This paper cites Machine learning accelerated turbulence modeling of transient flashing jets.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Machine learning accelerated turbulence modeling of transient flashing jets

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.835539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11c87e02-a0b7-4355-8759-34e4653f99dd · outbound

This paper cites A novel spatial-temporal prediction method for unsteady wake flows based on hybrid deep neural network.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling A novel spatial-temporal prediction method for unsteady wake flows based on hybrid deep neural network

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.814620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2d5385bf-e4a6-4eb8-8704-641d65750329 · outbound

This paper cites Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flow

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.787836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84ab712c-f95a-4e98-a02d-2285ea07964d · outbound

This paper cites Predictive models for flame evolution using machine learning: apriori assessment in turbulent flames without and with mean shear.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Predictive models for flame evolution using machine learning: apriori assessment in turbulent flames without and with mean shear

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.763385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9eccf2a0-dd0d-4753-8337-10d29b1b910e · outbound

This paper cites Identifying regions of importance in wall- bounded turbulence through explainable deep learning.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Identifying regions of importance in wall- bounded turbulence through explainable deep learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T16:15:39.406394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41d9e7f3-d19b-41d9-a1e0-eae36086d351 · outbound

This paper cites The spanwise variation of roof-level turbulence in a street-canyon flow.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling The spanwise variation of roof-level turbulence in a street-canyon flow

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.727945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6d8e2e2-8d27-4e6d-bf0c-0b4206eb6410 · outbound

This paper cites Roof-level large-and small-scale coherent structures in a street canyon flow.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Roof-level large-and small-scale coherent structures in a street canyon flow

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.688157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44099e45-3123-4cb4-93e4-03a9eea1ea39 · outbound

This paper cites The flow around a surface-mounted cube in uniform and turbulent streams.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling The flow around a surface-mounted cube in uniform and turbulent streams

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.666320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d75b57bc-02c3-474f-9f5e-da028290f908 · outbound

This paper cites Adam: Method for stochastic optimization.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Adam: Method for stochastic optimization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.648702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea94da8c-2355-41d0-85c6-d2d973eb1fe4 · outbound

This paper cites Rectified linear units improve restricted boltzmann machines.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Rectified linear units improve restricted boltzmann machines

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.629439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a8c0c2a-47b5-4884-ac94-de6ad3386d2b · outbound

This paper cites Tensorflow: a system for large-scale machine learning.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Tensorflow: a system for large-scale machine learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.610060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4cfbacd6-a56d-44dd-bc70-209e2bf7a888 · outbound

This paper cites Street design and urban canopy layer climate.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Street design and urban canopy layer climate

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.582802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 00247ea1-1773-47fd-965d-62c3897c0fe8 · outbound

This paper cites Quadrant analysis in turbulence research: history and evolution.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Quadrant analysis in turbulence research: history and evolution

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.562034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 560e0111-f7c7-4fc6-8317-0c95513ed01d · outbound

This paper cites Turbulence and the dynamics of coherent structures.

Predicting Turbulence Structure In Street-Canyon Flows using Deep Generative Modeling Turbulence and the dynamics of coherent structures

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:15:39.534748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.