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Paper Citation Record · LEDGER

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions

As of 21 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2507.06533.

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

pith.paper-citation-record.v1
2507.06533 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:08:15.865232Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:40:21.291542Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy36
  • unresolved5
  • parse uncertain0
  • malformed identifier0
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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b5f8bfa3-c77a-41c6-baf8-fa0d26823fca · outbound

This paper cites write newline.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions write newline

Reference 1

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no resolver link, observed 2026-08-06T19:08:11.485907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:08:11.485907Z digest=sha256:db72afae04ac4c997d70b753d87606e648158dae62024e4982bde21097597f6a

Observation d5e585c4-8a96-43f4-85ce-9939ca0eb781 · outbound

This paper cites write newline.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions write newline

Reference 2

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no resolver link, observed 2026-08-06T19:08:11.663437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:08:11.663437Z digest=sha256:cecf0b7166b6ccc0c017ce414e391302421284fa33c77444776cfec9ba881212

Observation 671fda39-bc23-473e-85a8-dd3e22f39f49 · outbound

This paper cites write newline.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions write newline

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eb6f5136-d855-4273-9617-036214bc752c · outbound

This paper cites , author Vasan, N.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Vasan, N

Reference 4

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Source-reported events for the cited work

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Observation b59e51b2-99c3-443e-8081-96296261c7ed · outbound

This paper cites , author Nagaoka, H.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Nagaoka, H

Reference 5

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Source-reported events for the cited work

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Observation 29aabe3c-a158-49c7-921b-3c674f48e9bb · outbound

This paper cites , author Andrianne, T.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Andrianne, T

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dd6c8936-5be1-4b0a-a2c2-2ab99f964656 · outbound

This paper cites , author Bengio, Y.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Bengio, Y

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cccefea8-3295-4dbb-bbd1-e1de14e486b7 · outbound

This paper cites , year 2015.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , year 2015

Reference 8

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Source-reported events for the cited work

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Observation 05de8a2d-38b9-4707-9a17-aabfeb97b844 · outbound

This paper cites , author Stathopoulos, T.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Stathopoulos, T

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5434a4fc-3bc9-480f-b958-a6d77cda5910 · outbound

This paper cites , year 1999.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , year 1999

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7462caab-ced5-42ed-b230-7726b6b39330 · outbound

This paper cites , year 2000.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , year 2000

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 67a3951f-af99-4ac2-a35d-7774b45056de · outbound

This paper cites title Fidelity charles.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions title Fidelity charles

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 595f93c3-b6af-473a-8390-230672192db2 · outbound

This paper cites , author Gao, X.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Gao, X

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 90006bf1-6501-4f2c-9887-54c901f7dd1a · outbound

This paper cites , author Huang, Z.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Huang, Z

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d7f4fdad-ce21-478c-9ba4-32eb4d8971c2 · outbound

This paper cites , author Welling, M.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Welling, M

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 119ecab5-94fc-45ac-bb6d-cbbc72118726 · outbound

This paper cites , author Hellsten, A.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Hellsten, A

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0903a9f0-9101-48b1-8ec1-b57fc0d42862 · outbound

This paper cites Large-eddy simulations of wind-driven cross ventilation, Part1: validation and sensitivity study.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions Large-eddy simulations of wind-driven cross ventilation, Part1: validation and sensitivity study

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5b59148f-8380-432a-983a-ec89e101fe52 · outbound

This paper cites , author Gorl \'e , C.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Gorl \'e , C

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b2259347-cfcc-404d-b1ad-307dd5041f7d · outbound

This paper cites , author Blocken, B.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Blocken, B

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation da2a84d4-f8ea-45c3-a192-20f1dde85bcb · outbound

This paper cites , author Yan, C.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Yan, C

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6ac7b8ca-effa-4d86-98bf-780a3bdaff3a · outbound

This paper cites , author Kim, J.J.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Kim, J.J

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8a15c711-3b42-412d-974e-196477f6142e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions Adam: A Method for Stochastic Optimization

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:08:13.571864Z digest=sha256:7bbe4bc661200707bb026b53717a8617fa0afece2819247b819f3695a873bb9c

Observation e7f6b720-889e-460b-81d4-4f0c101d382d · outbound

This paper cites , author Blocken, B.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Blocken, B

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c8dd9fc6-554c-4a4a-a16c-cdcf4ed38772 · outbound

This paper cites , author Gromke, C.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Gromke, C

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:08:20.571054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6a536884-c84a-4af5-af7c-d40665168e26 · outbound

This paper cites , author Soligo, M.J.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Soligo, M.J

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation add7b9fd-5a14-4ee5-8acd-19baefbb1be0 · outbound

This paper cites , author Kiefer, H.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Kiefer, H

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a123a973-5da4-49cc-beb0-31d1bd1f65d9 · outbound

This paper cites , author Tominaga, Y.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Tominaga, Y

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 16cef417-3e8a-4635-9885-ab94a949044c · outbound

This paper cites , author Li, Z.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Li, Z

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 370558b9-6c20-4d19-92ef-f9914ec3f128 · outbound

This paper cites , author Fischer, P.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Fischer, P

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T19:08:14.249958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:08:14.249958Z digest=sha256:a5ff794ab39aa3b3cdfbc62c93e51c61618d9d4e3f16786e58650bb01751c24c

Observation 07a579d9-2c95-4445-a3a3-ac10d81264a0 · outbound

This paper cites , author Tognaccini, R.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Tognaccini, R

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 37076d05-a0a1-4df1-8141-0a4fe766aea9 · outbound

This paper cites , author Buccolieri, R.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Buccolieri, R

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:08:14.458699Z digest=sha256:86f4e8451a3a28b4c5dc73e8a006efa5e97dcfe8d8d7204cd438cd63cdf5fea7

Observation 7a3d5400-b517-4f72-be3f-8642b9e1118b · outbound

This paper cites , author Guastoni, L.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Guastoni, L

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:08:14.557604Z digest=sha256:7612fa889a98750e22cd190366d9c0984bdde089b398985baef27844fc5cca7a

Observation ffcb4b90-dbbb-4ef2-bab9-ec1ca9b621cd · outbound

This paper cites , author Wei enow, K.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Wei enow, K

Reference 33

Resolution
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raw_fallback, observed 2026-08-06T19:08:18.497981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:08:14.663231Z digest=sha256:c42bbf81f32f616ba94758e2ecbb08bc747bb526d3604c9dbb6c9a114fa904b4

Observation f678e381-173f-4870-9061-74c78fbe3c22 · outbound

This paper cites , year 2003.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , year 2003

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:08:18.272260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:08:14.745467Z digest=sha256:8248679b222b15d95e2aba32cefc056309c6bfde0ca8c2110bde71d6f04c4402

Observation 79a9da91-01cf-48f8-8217-cb4d863f7242 · outbound

This paper cites , author Blocken, B.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Blocken, B

Reference 35

Resolution
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raw_fallback, observed 2026-08-06T19:08:18.004873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:08:14.841014Z digest=sha256:3bdedf45373f7e17f896e3836db1cd6fd8ca249b6c3e54d416e2e020d50adf0a

Observation d583a5e6-cf52-4629-a5a5-b8dcb0976285 · outbound

This paper cites , author Gorl \'e , C.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Gorl \'e , C

Reference 36

Resolution
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raw_fallback, observed 2026-08-06T19:08:17.743458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ae07c4ad-e08b-41e1-ae7c-eafc3b47a576 · outbound

This paper cites , author Gorle, C.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Gorle, C

Reference 37

Resolution
verified exact
doi, observed 2026-08-06T19:08:16.157114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f969f766-e8c8-4442-8233-b89b7312bcda · outbound

This paper cites , author Gorl \'e , C.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Gorl \'e , C

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:08:17.639869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:08:15.227529Z digest=sha256:a421bb72f707ee9c69cde36c07b80f96009ee6a5901faf2f40b215af831cd6c2

Observation 8c84dddb-fde5-4ea6-8750-cb40b89b6fba · outbound

This paper cites , year 2004.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , year 2004

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:08:17.498484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 79d9f714-8d13-4804-98c8-06c129055c6b · outbound

This paper cites , author Mochida, A.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Mochida, A

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:08:17.360312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:08:15.488101Z digest=sha256:617551c3aa7b32c15ca55f4e9aea738ca272013d7b1cca1829a87e5152a398e9

Observation 722ab753-13bc-4113-938e-b0f3d29db1e6 · outbound

This paper cites , author Zhang, S.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Zhang, S

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:08:17.195280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:08:15.616339Z digest=sha256:3bc76a0b022c279f99f8be0144aea48b49e30f4dc5d0accc38897a855b06a142

Observation 8fe08d02-4d62-46bc-beb3-15e8d8f5faad · outbound

This paper cites , author Gu, M.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Gu, M

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:08:16.925802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:08:15.730453Z digest=sha256:ba3c503945612c62c48f6edb5c30e84220886182a06e9c7c578c66d31064862c

Observation d30aeffc-1c07-40ae-a4ff-5c8858dd15b5 · outbound

This paper cites , author Kwok, K.C.

From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions , author Kwok, K.C

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:08:16.676243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-06T19:08:15.865232Z digest=sha256:5fc1716428f33a648af1183361a9d20c364a4799ff4bc87b879b1163e8191698

Pith citing papers

Observation 663827cc-2c3c-4ced-8cb0-bcb165b93f35 · inbound

Large Eddy Simulation of Plunging Flows in Laboratory-Scale Bedrock Rivers cites this paper.

Large Eddy Simulation of Plunging Flows in Laboratory-Scale Bedrock Rivers From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions

Reference 129

Resolution
verified exact
local_arxiv, observed 2026-08-01T19:43:38.325264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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