Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:08:15.865232Z
Paper Citation Record · LEDGER
From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions
As of 20 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T19:40:21.291542Z
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
- metadata mismatch1
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:08:11.485907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:08:11.663437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:08:12.000912Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:24.574595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:24.311759Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:24.101196Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:23.910723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:23.708016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:23.485458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:23.231771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:23.007562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:22.842433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:22.614355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:22.339677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:22.079323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:21.851699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T19:08:16.413952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:21.647609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:21.483745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:21.311118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:21.105916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:08:13.571864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- raw_fallback, observed 2026-08-06T19:08:20.806912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:20.388289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- raw_fallback, observed 2026-08-06T19:08:20.086254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:19.865717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:08:19.531546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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.
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
- raw_fallback, observed 2026-08-06T19:08:19.259512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- raw_fallback, observed 2026-08-06T19:08:19.086178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- raw_fallback, observed 2026-08-06T19:08:18.700673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- 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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- 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 2026-08-20T06:33:59.587034+00:00.
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
- verified fuzzy
- 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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.