Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:12:33.203552Z
Paper Citation Record · LEDGER
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network
As of 15 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2412.17978.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
41 of 41 outbound references displayed
- verified exact0
- verified fuzzy32
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6e381245-defe-400f-bcb6-b120c7879ba4 · outbound
This paper cites , " * write output.state after.block = add.period write newline.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network , " * write output.state after.block = add.period write newline
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:12:33.051187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 540cb419-e0c4-496c-8fcc-7363cc0e2fd4 · outbound
This paper cites write newline.
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:12:33.056007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80d69706-9676-45bb-92b8-515369cecc47 · outbound
This paper cites Structural Control and Health Monitoring 24 (3), e1889.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Structural Control and Health Monitoring 24 (3), e1889
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.690641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cbbe1858-3914-41d6-8c25-df52aa031853 · outbound
This paper cites Computational Mechanics 64 (2), 525--545.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Computational Mechanics 64 (2), 525--545
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.680023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a7d985ac-d34a-4a90-a8e6-6e124fb8c457 · outbound
This paper cites Computers & fluids 35 (3), 326--348.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Computers & fluids 35 (3), 326--348
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.668836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9887e6f4-a20a-41de-a3de-306aaa9b228d · outbound
This paper cites Proceedings of the national academy of sciences 113 (15), 3932--3937.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Proceedings of the national academy of sciences 113 (15), 3932--3937
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.657482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f7f4740f-6188-46cc-a8c8-b2388023c999 · outbound
This paper cites IEEE Transactions on Power Systems.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network IEEE Transactions on Power Systems
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.645228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation afa1d998-f8c5-4c89-be72-a5ba2b24fc48 · outbound
This paper cites In 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI)\/ , pp.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network In 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI)\/ , pp
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.633551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b1d7d968-4fa6-4ff2-92f6-42abb279a04e · outbound
This paper cites Computer Methods in Applied Mechanics and Engineering 365 , 113000.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Computer Methods in Applied Mechanics and Engineering 365 , 113000
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.621684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3f5827f1-f89c-4c3b-824c-dc2b59d22ff3 · outbound
This paper cites The Annals of Statistics pp.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network The Annals of Statistics pp
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.610434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8616e217-fe03-4da5-aacb-9734beaf09d3 · outbound
This paper cites Physics of Fluids 31 (12), 125111.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Physics of Fluids 31 (12), 125111
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.599664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b6cb4b02-1909-4cd6-b155-5ef6d80a8cdd · outbound
This paper cites Strain 55 (1), e12297.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Strain 55 (1), e12297
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.589278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6a833cb1-e40f-43fc-9a06-6f05d4449816 · outbound
This paper cites Deep Learning the Physics of Transport Phenomena.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Deep Learning the Physics of Transport Phenomena
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:12:33.100841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdd99360-a3b8-43f8-9221-4ac082a66962 · outbound
This paper cites Multi-fidelity Generative Deep Learning Turbulent Flows.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Multi-fidelity Generative Deep Learning Turbulent Flows
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:12:33.105165Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc67d536-56eb-4686-ae24-ae0047390b23 · outbound
This paper cites In Proceedings of the thirteenth international conference on artificial intelligence and statistics\/ , pp.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network In Proceedings of the thirteenth international conference on artificial intelligence and statistics\/ , pp
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.579050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 473d7e82-116b-4562-8485-9255ad78acad · outbound
This paper cites Communications of the ACM 63 (11), 139--144.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Communications of the ACM 63 (11), 139--144
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.566138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2536d881-d34b-4b4f-aff7-9b91f12d3a88 · outbound
This paper cites In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining\/ , pp.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining\/ , pp
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.555662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 417d2c33-f242-4047-83a7-fdaeaebce14d · outbound
This paper cites Computer Methods in Applied Mechanics and Engineering 318 , 382--411.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Computer Methods in Applied Mechanics and Engineering 318 , 382--411
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.543844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 48e11fa7-1e04-4977-90e6-1052cfe68905 · outbound
This paper cites In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)\/ , pp.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)\/ , pp
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.532086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a044ba75-d5bf-4bc0-b3e7-20fff6547db9 · outbound
This paper cites Proceedings of the Royal Society A 476 (2242), 20200279.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Proceedings of the Royal Society A 476 (2242), 20200279
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.520752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c7e9b9b1-aa65-46ef-ab67-710f76a0ab2e · outbound
This paper cites Auto-Encoding Variational Bayes.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Auto-Encoding Variational Bayes
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:12:33.130480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd319b5f-27e0-4f3b-990f-7424ff75b96f · outbound
This paper cites Physical Review E 100 (2), 022220.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Physical Review E 100 (2), 022220
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.509318Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c0d1696b-44d4-4214-bec2-054fad009c2f · outbound
This paper cites Journal of Wind Engineering and Industrial Aerodynamics 172 , 196--211.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Journal of Wind Engineering and Industrial Aerodynamics 172 , 196--211
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.498524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7db19dba-80c7-4f11-a328-e094f96c467c · outbound
This paper cites Engineering Structures 155 , 1--15.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Engineering Structures 155 , 1--15
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.487163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 94a76758-b897-48d9-a47e-7e07ae1054b6 · outbound
This paper cites Nonlinear Dynamics 106 (4), 3231--3246.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Nonlinear Dynamics 106 (4), 3231--3246
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.474519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3c75cdd3-d3c9-4821-8775-bc93725bf482 · outbound
This paper cites Nonlinear Dynamics 105 (4), 3409--3422.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Nonlinear Dynamics 105 (4), 3409--3422
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.463869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 549859db-c885-45ae-aa67-eb0d3306e609 · outbound
This paper cites Nature communications 9 (1), 1--10.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Nature communications 9 (1), 1--10
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.452649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 43907384-3db1-4aa0-bb36-1ea35fc7475f · outbound
This paper cites Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders
Reference 28
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T05:12:33.282890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4f4a1b0a-4fd4-48dd-b504-209d58e8c643 · outbound
This paper cites Computers & Fluids 32 (3), 337--352.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Computers & Fluids 32 (3), 337--352
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.441290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2859fc93-1471-41d5-b2ab-8f8a05df5713 · outbound
This paper cites Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (6), 063116.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (6), 063116
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.429625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 639eeb4e-fab3-4766-ad5f-a870a3cc8495 · outbound
This paper cites Science 367 (6481), 1026--1030.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Science 367 (6481), 1026--1030
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:12:33.167170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9054d3d-ed70-49d4-9d4b-54373b88468e · outbound
This paper cites IEEE Transactions on Power Systems 34 (6), 5044--5052.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network IEEE Transactions on Power Systems 34 (6), 5044--5052
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.411385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d5d32804-cdcd-4b28-8ab2-127c5bd73fc1 · outbound
This paper cites Robotics and Autonomous Systems 124 , 103386.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Robotics and Autonomous Systems 124 , 103386
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.399727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d2bb5070-fed3-4c45-987f-e1cf51983f5d · outbound
This paper cites Journal of Design Studio 6 (2), 325--335.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Journal of Design Studio 6 (2), 325--335
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.387988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 068ba817-b8ed-499b-aec4-a52a1560ba51 · outbound
This paper cites Journal of Design Studio 6 (2), 383--395.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Journal of Design Studio 6 (2), 383--395
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.375760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 52e6ce0e-84c9-4192-9b1c-86b61d79b71b · outbound
This paper cites Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks
Reference 36
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T05:12:33.264585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5fec07ff-c0c1-45a2-84db-d4edd3cdcea2 · outbound
This paper cites Data-Driven, Physics-Based Feature Extraction from Fluid Flow Fields.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Data-Driven, Physics-Based Feature Extraction from Fluid Flow Fields
Reference 37
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T05:12:33.245965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4ce0071b-ccee-4f93-855d-b7979f0b5226 · outbound
This paper cites Mechanical Systems and Signal Processing 166 , 108473.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Mechanical Systems and Signal Processing 166 , 108473
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.363962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 26c14936-077c-4ca1-9f27-ae5244212dbd · outbound
This paper cites In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining\/ , pp.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining\/ , pp
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.352350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation eeb857b3-1d91-4518-8f23-db3ae983cff1 · outbound
This paper cites Mechanical Systems and Signal Processing 84 , 34--53.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network Mechanical Systems and Signal Processing 84 , 34--53
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.340677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 70f56585-db3c-44e7-afb1-f058f61f6cbc · outbound
This paper cites ACM Transactions on Graphics (TOG) 37 (4), 1--15.
Data-driven Modeling of Parameterized Nonlinear Fluid Dynamical Systems with a Dynamics-embedded Conditional Generative Adversarial Network ACM Transactions on Graphics (TOG) 37 (4), 1--15
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T05:12:33.328935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.