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Paper Citation Record · LEDGER

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies

As of 17 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2504.14473.

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

pith.paper-citation-record.v1
2504.14473 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:53:11.132945Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

77 of 77 outbound references displayed

  • verified exact16
  • verified fuzzy11
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2f1f32a-324a-4f31-b5bd-d2ef544cefec · outbound

This paper cites merlin.mbs aapmrev4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies merlin.mbs aapmrev4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked

Reference 1

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unresolved
no resolver link, observed 2026-08-16T11:53:10.823847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.823847Z digest=sha256:c1578f2b65061d5d34b4244e23f1ef796d2364432fec99d5176502c45a62e316

Observation 825a28b7-a8b4-4874-b215-6ed1e9bcd4ec · outbound

This paper cites merlin.mbs aipauth4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies merlin.mbs aipauth4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.829291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.829291Z digest=sha256:68178a5092fc4510baa582ca5831a8928cc9bbb79fb4d73d33434c7dc7edc350

Observation 789ed12d-2b00-4ba7-806f-098f0cf29feb · outbound

This paper cites merlin.mbs aipnum4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies merlin.mbs aipnum4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked

Reference 3

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unresolved
no resolver link, observed 2026-08-16T11:53:10.833541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.833541Z digest=sha256:1fd26944787a61e0ca683a961ccd00f795ab31740c61b2df0247db5ab0e8b612

Observation 70ba3a58-671f-427f-b225-1c0016fb9ffd · outbound

This paper cites merlin.mbs apsrev4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies merlin.mbs apsrev4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.838108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.838108Z digest=sha256:19f848be6c151fa575d6231de60523a9efdc6cc17f02d3b433f03e03a7f1e52b

Observation 430640e8-cf10-4bac-b881-341762a596be · outbound

This paper cites merlin.mbs apsrmp4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies merlin.mbs apsrmp4-1.bst 2010-07-25 4.21a (PWD, AO, DPC) hacked

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.842176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.842176Z digest=sha256:39c665ce8a77acc43c8d29f37d53189d3c43db54289193ce244757d954014fa1

Observation 59c9423f-472d-4665-8d7b-0a170e973ac5 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.846076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.846076Z digest=sha256:3aa8579e1e6fd91659c28fa3622d4c5387e88167f25cfc7368fd815bddd8b496

Observation 5c4d217b-c26d-4ef8-8025-9b87313ed6a2 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.271742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.850130Z digest=sha256:5c804b370d0a4e7c716221327f2adba8928f706be6f54c136a1222a92cd8208d

Observation f20c9d4f-8f00-42ad-9d60-7f26d9b9318c · outbound

This paper cites Bou-Zeid , author C.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Bou-Zeid , author C

Reference 8

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unresolved
no resolver link, observed 2026-08-16T11:53:10.854173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.854173Z digest=sha256:b350627604d03359e1c4eb60743029e94fe55908f8b3d1ff712fab6b1be3febe

Observation b2102082-ee25-4c11-931f-61198a67772e · outbound

This paper cites Giraldo \ and\ author M.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Giraldo \ and\ author M

Reference 9

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verified exact
doi, observed 2026-08-16T11:53:11.503031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.860415Z digest=sha256:14162544b7f9bf96e67d904ca955841b723a9996c75e926f7c1aed1b67c10f91

Observation ac349063-70cc-48c6-9258-83ae6ca268cd · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.260500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.865295Z digest=sha256:b08e5dd9161af568fbb7cb9b5f913aea89a47ccf7373f8485625f4a4e1e04438

Observation d97a159f-7f2f-4535-8e48-8d82ac53096f · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.249595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.869227Z digest=sha256:7afe27d2a2c15907c9433cf94a0f3279efb8316d01f3a3c6c5706e156ffcb4a0

Observation 86edaf49-7f41-471f-8463-89e4e607fc34 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 12

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.490394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.873234Z digest=sha256:ab0eba546639bce8252fc25326b0e113057a761ded62b8076d14aeec2fa06b19

Observation 6459fb2e-81ea-467a-921b-ec39cc9a3304 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 13

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verified exact
doi, observed 2026-08-16T11:53:11.478747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.877573Z digest=sha256:e8fcac5097619b317d9e596ae49488f431d98ec6f5265584d438f6756c58175f

Observation 37a42797-d8fb-4bf5-81ae-8fd95f552447 · outbound

This paper cites Linkmann , author M.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Linkmann , author M

Reference 14

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unresolved
no resolver link, observed 2026-08-16T11:53:10.881440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.881440Z digest=sha256:a2a7c09faf6d90b06ae996256819d34593b82cb2763c7854fd39d0e40d68e48e

Observation 639ceebd-75ec-4ab4-96da-535df6feefb8 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 15

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.466899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.885171Z digest=sha256:1563f116fca13b2a6755207fa683d5f288d46601b296dfc947196407d82b27ec

Observation 42c88898-d27a-455e-9fa8-3be95f1fc05b · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 16

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unresolved
no resolver link, observed 2026-08-16T11:53:10.889273Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.889273Z digest=sha256:ead8fa1bedeaf71b627c48de80b9e1f6e40f7fe531e9975512c41d0e255d2ee1

Observation 1b4cc7fb-434c-4250-b99a-c31eafaead7c · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 17

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unresolved
no resolver link, observed 2026-08-16T11:53:10.893193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.893193Z digest=sha256:642116958f4e24570acf328a65c90c95e1d33e8a1ea6a73151c5d3265ec30f32

Observation 55870be6-a78d-4160-9f31-44dafdb455e4 · outbound

This paper cites \ Chang , author A.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies \ Chang , author A

Reference 18

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.445891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 613f63b2-b9d7-45b0-b46b-1e762b944f1b · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 19

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unresolved
no resolver link, observed 2026-08-16T11:53:10.901313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.901313Z digest=sha256:5c405f8f0ed643029fa48b523a1eebbd7470fd41d722a50355ff7d7a89b34dcf

Observation 407115b9-e1f4-4994-b28b-d2683ae5d42a · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-16T11:53:10.908632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.908632Z digest=sha256:8008b8859a4111f128d1f546179b9195308d33a6e856751bbca5ebf2132252a3

Observation 368e2c9f-5cd3-4cb1-86ea-7f4972998fb3 · outbound

This paper cites Gentine , author V.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Gentine , author V

Reference 21

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unresolved
no resolver link, observed 2026-08-16T11:53:10.913049Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.913049Z digest=sha256:c069057fe8fc9b956ed054a5d5747dcb06f9abc60b17db922720610dd77733b9

Observation 6e629ece-8270-49a3-85df-d86e0b1b5d76 · outbound

This paper cites Zanna \ and\ author T.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Zanna \ and\ author T

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.917080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.917080Z digest=sha256:22b03077cbe2017cbe554eac2293a813dfdf4e4becdddea0e405f889a27899d0

Observation 146e8d0a-3c82-447a-b902-9842dd1035c8 · outbound

This paper cites Guan , author A.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Guan , author A

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.921049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.921049Z digest=sha256:4986ea7a6b4ae6be45ede2b794dfd9dad419cdff12120c04ef99ee2af52b2966

Observation 10279f75-4ca8-4b61-a3ea-1822c879e258 · outbound

This paper cites Bolton \ and\ author L.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Bolton \ and\ author L

Reference 24

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unresolved
no resolver link, observed 2026-08-16T11:53:10.925596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.925596Z digest=sha256:eca4309f29cb4a1f0db57dec94acf3c4bcd9ba59beb9f0fa3acc9f578f15d4a5

Observation 645977ba-010a-4d69-afde-7b83cb112836 · outbound

This paper cites Frezat , author J.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Frezat , author J

Reference 25

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unresolved
no resolver link, observed 2026-08-16T11:53:10.929744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.929744Z digest=sha256:d99cfffe3c9cf53c04d94ae98112a056f9438867d5ed414dec7f70a3a3b984ad

Observation 65c6a50d-7016-49a5-a072-3c716754d568 · outbound

This paper cites Cheng , author M.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Cheng , author M

Reference 26

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.390425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.933813Z digest=sha256:bc83caab9db6b9567e3d9fb696832d5e3e2f70757edbe715499e0b273ff7fd0b

Observation 70ff142d-4b31-4aca-8e9e-11286e392154 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.938041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.938041Z digest=sha256:ffca94e328667b51d0060bea78506a35a10c487e0083e186394089ea60a1246a

Observation d355492e-c31b-4db8-9296-1f10dee4a645 · outbound

This paper cites Yuval \ and\ author P.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Yuval \ and\ author P

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.942128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.942128Z digest=sha256:9c79afaa5dd1dc465c4173b0f7f2bee7b9107e9b64fcedb50d0b3a4dd810781e

Observation 0e7a4994-ec30-49c2-94d2-6ea461f1523f · outbound

This paper cites Guan , author A.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Guan , author A

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.946124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.946124Z digest=sha256:90ba46da70ce08117d7d7d2909276ffc3a04b8878bb13f98808018b6933efccd

Observation ce31c109-9fc7-40e3-b9b4-433a1cf9e939 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.238815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.950072Z digest=sha256:136985b7069fecc88b7e02078e3af40cf2ee6d60469c8eaa3445ca2d60dd7a93

Observation 074fd939-aaa4-47bb-aaba-b4d77ee306e6 · outbound

This paper cites \ Zhou , author J.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies \ Zhou , author J

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:53:12.228108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.954274Z digest=sha256:5040e7b75dc853cd9c03dd4a857d4561b6914cd0283d0f7a28dbf2016d328948

Observation a691c48b-fabf-4fc1-ad0a-9c1d224c3001 · outbound

This paper cites Ling , author R.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Ling , author R

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.958330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.958330Z digest=sha256:d541f72dd5bd6041420786c8bfd2ee870a6844e10c2d179b7b983dcf8ed75ab1

Observation 0d3db135-e6b1-4ef1-9100-f9d2002ea6fd · outbound

This paper cites Meneveau \ and\ author J.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Meneveau \ and\ author J

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.962773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.962773Z digest=sha256:f92a7637f0e0dd8ed8e6b69a474b9f1846ab2f03082f851b6f8bea1f57b94f99

Observation 6ef3157f-863b-46bf-a4c3-98d1b86e6bb3 · outbound

This paper cites Sagaut ,\ @noop title Large Eddy Simulation for Incompressible Flows: An Introduction ,\ edition 3rd \ ed.\ ( publisher Springer ,\ year 2006 ) NoStop.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Sagaut ,\ @noop title Large Eddy Simulation for Incompressible Flows: An Introduction ,\ edition 3rd \ ed.\ ( publisher Springer ,\ year 2006 ) NoStop

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:53:12.216949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.967133Z digest=sha256:1ee2634354b2a329ff90379fcf950b5cfdd890b342221c000f204b6bf6c3baaa

Observation b1418ab0-2b53-4574-86ee-8a13d12382ca · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 35

Resolution
verified exact
raw_fallback, observed 2026-08-16T11:53:11.714617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.970817Z digest=sha256:593e46b0a70d037e659240a8c52d9f7959d64c715eed06d23955e26a194f87c1

Observation 3c824239-4f0c-4506-9fe9-c12fe3a92506 · outbound

This paper cites Vreman , author B.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Vreman , author B

Reference 36

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.347684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.974841Z digest=sha256:8cfc1a5d4b0e3265007681834b77784dfd227466c4c058c904bcf5bde3824514

Observation b50fe673-a844-44e7-8864-b64fc1623ef5 · outbound

This paper cites Carati , author S.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Carati , author S

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.979422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.979422Z digest=sha256:906a070eb936dd8616b2fe59401ab2676c4725b3ab07a3c74dca9a1ab1cf9dbf

Observation 05fe643a-63ea-4001-abb1-fbcc9b28dc98 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.983430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.983430Z digest=sha256:e39a531fe9b9918a7c453303ed3e5862cf4eab4c5ddb1980d57b8848ab5f087a

Observation a42b6e61-e580-454e-8c4a-38d1c15b9384 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.987335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.987335Z digest=sha256:6599c99cd77b66d18d625d1c1fa6e24f67fa153b6779311277c98a970ce78a83

Observation 5ace1916-7750-44b4-ac16-6483ecc6b6c2 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 40

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.313186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.990941Z digest=sha256:bfe7ddb4a9b6e4065e4a14378629bb7d3cb3a52b1cd479b2413ac4f640242677

Observation 1e9ab2ce-eb39-459e-aec3-e14e3740fff3 · outbound

This paper cites Nabavi \ and\ author J.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Nabavi \ and\ author J

Reference 41

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.301228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:10.994375Z digest=sha256:eb7ff541124c558d68dd139f1ca546e8f5292c336e978b983e829be0d741d16b

Observation e8ad957e-8f37-46bc-8b27-b195eb318fe5 · outbound

This paper cites Beck , author D.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Beck , author D

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:10.997655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:10.997655Z digest=sha256:a23fe0849f116ac2b3836f61f47dfc0b3d31edfd8ee94eccc8d1c3528db61998

Observation f534ff12-0481-4fb5-8ceb-d9c71a911c5e · outbound

This paper cites Zhou , author S.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Zhou , author S

Reference 43

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.288134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.000953Z digest=sha256:b0d5c3991b6757677d5d3fa82fdccab582f011f851ef501601c7f4dd58ced58f

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:11.004778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:11.004778Z digest=sha256:9326c2c6983637f499c591f86b3ad612e93bd91342b90501db60cb3b5ef410a7

Reference 45

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.268362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.008328Z digest=sha256:49c4a6c01d84ca4e76e6113bcc7e557cf83acd7aa63b50d0dbe2235cedf3f5ee

Observation 006d98c0-8d0c-44fa-9550-b8b0c3ff8e7f · outbound

This paper cites Sroka \ and\ author S.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Sroka \ and\ author S

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:53:12.204753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.012074Z digest=sha256:6eaf47e7fc149f1facacadaf6d4890fd669ecf9dec3aaec3f1a5eb93e82e5bcc

Observation 6f706456-63e5-4ecf-bc0a-115c674e9946 · outbound

This paper cites Piomelli \ and\ author E.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Piomelli \ and\ author E

Reference 47

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T11:53:11.587645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.016246Z digest=sha256:513e15a7d07d493f0b3ce5fb678c7b37d703feab438a62a4712a7e6804cabce9

Observation f3c02147-b9d0-4dc0-afbd-32fa38aa567f · outbound

This paper cites Germano , author U.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Germano , author U

Reference 48

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.256191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.020236Z digest=sha256:41bfff512fe410763947f48a5d4b5025947fcfd07ee3500d46df3e5f9edf8b61

Reference 49

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.243520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.024089Z digest=sha256:62f5b90b109674927cbe5ad4a9348d7de04fd3777981fd15ace6a513ef6ace73

Observation 315929c8-d55d-4f0f-a521-340b7761f412 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:11.028253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:11.028253Z digest=sha256:7fc3d9d6e55da556638aced09d09de94ed7b8f103fffb5c815ec5119aacbd730

Observation 94d642d5-d6d5-4fd7-85e1-2842248aa1cd · outbound

This paper cites Rotunno , author Y.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Rotunno , author Y

Reference 51

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.222519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.033037Z digest=sha256:66172e607516850387de7168415df1c6773bd387dfb39a079de8e18702770c32

Observation 5499e61b-2d06-46b8-a46b-7187082539a2 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.191458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.037559Z digest=sha256:1bdf96e6790201cdb229143968b4c87b11c320c2c230f9f67feff4f145e6b16c

Observation f736eddd-8d52-4e46-8dfe-89f5744f9f98 · outbound

This paper cites Pope ,\ title title Turbulent flows , \ https://doi.org/10.1017/CBO9780511840531 \ ( year 2000 ),\ https://doi.org/10.1017/CBO9780511840531 NoStop.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Pope ,\ title title Turbulent flows , \ https://doi.org/10.1017/CBO9780511840531 \ ( year 2000 ),\ https://doi.org/10.1017/CBO9780511840531 NoStop

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:11.041691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:11.041691Z digest=sha256:61d5047cb243096157098b2769076402e3fbb48db01aeb74301570786f896c1b

Observation e2637d29-27b1-4c7d-aabd-6e34b4caa92e · outbound

This paper cites Durbin \ and\ author B.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Durbin \ and\ author B

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:53:12.180339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.046020Z digest=sha256:e0971bb639081cbbf01c9146661f31eff3ccb82c4d1ee9496c3c839fdd28edf6

Observation 87cfd66d-ff08-47e9-ac7a-69566762db8d · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.169158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.050089Z digest=sha256:bd4b95ba2c6cf06581c46ea5c58ea5859d944dea2dac32db74aa9b21a5e66d33

Observation ebf904b8-108f-476b-b2db-dc47be77911c · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.157861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.053854Z digest=sha256:fea1105c1e43087475b01f04fc2c66e79d812d153c8cc67f8dce1e9c85242814

Observation 2280ac76-7259-4e43-9424-0df7ab3cc1a6 · outbound

This paper cites Wang , author J.-L.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Wang , author J.-L

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:53:12.146578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.058141Z digest=sha256:dfb03e3dddf5361abd2575a54d85d62e8d482926935349f449ca90cf89b58f5e

Observation 3123ab61-139b-4d5b-b198-7f4f411a6bbd · outbound

This paper cites \ Wu , author H.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies \ Wu , author H

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:11.062214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:11.062214Z digest=sha256:024d06bd27e34da9a7b305ce57a86c0f554688694eaba204d72891573ba8c2b0

Observation fee158f1-91f4-47f4-b554-7bf7360f18fb · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 59

Resolution
verified exact
doi, observed 2026-08-16T11:53:11.193695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.066206Z digest=sha256:1554523e8827a1f57a1e83911b13deb0f6cfc9c184e89e19c8662c24ba4b2b74

Observation 3369ebfb-9679-450e-8a2b-87e148bd46aa · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.134525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.070715Z digest=sha256:84755272459fb2dbaee15429b6dff1581bccc9fdbbe959c743660b88090a9704

Observation 3ac059b5-2efe-475f-a9ca-2cb042fa6589 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.124692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.074449Z digest=sha256:07f8cc23821decf6d0e47f3c5ebc88817d0fe91113481bae2bae703be2da8745

Observation b8996840-b177-4f4b-b62f-0002770503e2 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.114860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.078285Z digest=sha256:407fc3d30d0f4aaeceecc74dcd0d4ef12ac99a6bcbc2abf919b8b063dbc266b8

Observation bc9f8b7b-0015-4bc4-9ae0-307d9244c70b · outbound

This paper cites Paszke , author S.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Paszke , author S

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:53:12.105012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.082153Z digest=sha256:b07c92f5b5aa10a12b2148e69fc8757b8ad346dfc0e9bcdfb48275604b17204b

Observation cae778ae-0649-45ea-b098-59a78d6be46f · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.093668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.086004Z digest=sha256:7f9000cb7e8aeffe56144ce64bda4978e0960cf9d63f2217497e7142f8ec7af3

Observation b25aee4a-98fb-43cb-8c5a-795acd50751e · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.081717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.089835Z digest=sha256:67c9ed215b4a8395a1a659be31d3c87818c2dd8d8066d71d1dc38e0d15cd075d

Observation c6812d3c-a9af-4d67-ba47-673162291872 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:11.093903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:11.093903Z digest=sha256:8c855fe547223696310b6a1d49f117e0f13313da9f1fe946d1bae7f9e72ac480

Observation 7b51e6e0-3d26-417f-a2f1-aaba55dbb4e1 · outbound

This paper cites Srivastava , author G.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Srivastava , author G

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:53:12.069967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.098350Z digest=sha256:ef26c6f02a54cc83a3c5fb857f956d54da5daaa09a955568580f2cc3ebab44d7

Observation 1dccb33e-dbd2-42a7-b3d7-693c910df9d7 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.057509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.102321Z digest=sha256:855d27883bd03c25937a62b08889a1b298cee400b489eacfd7d4527c8749f753

Observation bb54eab7-fe08-44b1-88ce-c74fd9268f1f · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:11.106158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:11.106158Z digest=sha256:126fdfc37cc19761b48b5ff9eca3e0f7e66abd933d561a1e00ce411c2c06ba5f

Observation 1d69efc9-6113-488a-aec6-540f5dafea32 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.046226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.109924Z digest=sha256:84818fc9df481827f156f671c3c02ace94431bc85ee043b0be2868d2f2840cbe

Observation 9e3c0abd-04a7-4b08-97e6-0af8cdb24620 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:12.034576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.113116Z digest=sha256:0cc3c90f5867e734093faa1d5d9053b72b4617287f727865a676cb83aeaa3230

Observation 5f14c608-c65a-4834-8045-0e589cbc46ba · outbound

This paper cites Cortes \ and\ author V.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Cortes \ and\ author V

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:53:12.021553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2ea9c615-6e51-4ae8-8d78-53b8a58173bd · outbound

This paper cites Breiman ,\ title title Random forests , \ @noop journal journal Machine Learning \ volume 45 ,\ pages 5--32 ( year 2001 ) NoStop.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Breiman ,\ title title Random forests , \ @noop journal journal Machine Learning \ volume 45 ,\ pages 5--32 ( year 2001 ) NoStop

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:53:12.009657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.119538Z digest=sha256:b12b090fd5ef2451ce389689a3fab99f7cd2327c194d754d14304f1ef16ddb99

Observation 976f5d31-b69d-492b-bfb7-02148b365fae · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:53:11.996764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.123025Z digest=sha256:48009d85bd61041726e05fff44a234bb506ca34ccafe72316c1e946229dc8d0c

Observation a4132d95-c3fc-43a0-8f66-5f9cc1e5b76f · outbound

This paper cites LeCun , author Y.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies LeCun , author Y

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:53:11.985217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.126327Z digest=sha256:c040e9d25476504d88c2ea697ce9e364f4221e95461f0090ff17f960b5176613

Observation 1cac139b-71b8-4412-b680-5720014837ca · outbound

This paper cites Goodfellow , author Y.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Goodfellow , author Y

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:53:11.972225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T11:53:11.129593Z digest=sha256:95bff0a104bd71c79f4c74e8553d5d8f774fb06a91f82e40bbe58dd7fd322e43

Observation ee3cfb76-e014-44ca-a5d4-6fe7e207e320 · outbound

This paper cites an unresolved cited work.

Invariance-embedded Machine Learning Sub-grid-scale Stress Models for Meso-scale Hurricane Boundary Layer Flow Simulation I: Model Development and $\textit{a priori}$ Studies Unresolved cited work

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-16T11:53:11.132945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:53:11.132945Z digest=sha256:e788611fe77a0d2f0314f09bd04feb7c4648e56f8a125b002f9b81f5379cf3b6

Pith citing papers

No inbound Pith citation observations are available.