Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:47:32.379803Z
Paper Citation Record · LEDGER
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data
As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2506.18855.
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 2026-08-16T06:30:59.297886+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
48 of 48 outbound references displayed
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- verified fuzzy28
- unresolved20
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3abf9fa1-e963-4b73-8a16-7e5c0d7583a3 · outbound
This paper cites Turbulence and the dynamics of coherent structures part III: Dy- namics and scaling.Quarterly of Applied Mathematics, 45(3):583–590, 1987.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Turbulence and the dynamics of coherent structures part III: Dy- namics and scaling.Quarterly of Applied Mathematics, 45(3):583–590, 1987
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8e13d26c-2683-4f3e-b38b-cce81e08061c · outbound
This paper cites Lumley, and Emily Stone.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Lumley, and Emily Stone
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.854439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 777e3b22-52f6-4e54-aa91-e4eb5e4e0021 · outbound
This paper cites A survey of projection-based model reduction methods for parametric dynamical systems.SIAM Review, 57(4):483–531, 2015.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data A survey of projection-based model reduction methods for parametric dynamical systems.SIAM Review, 57(4):483–531, 2015
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.844313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5c665c94-c444-4024-99a7-a0b6a3735c95 · outbound
This paper cites an unresolved cited work.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Unresolved cited work
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a231975b-ea41-4131-9bf2-9eed96833db3 · outbound
This paper cites an unresolved cited work.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Unresolved cited work
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8d9f2844-a4dd-45fc-ad2e-89cb46c9ef7e · outbound
This paper cites Adjacency-based, non-intrusive model reduction for vortex-induced vibrations.Computers & Fluids, 275:106248, 2024.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Adjacency-based, non-intrusive model reduction for vortex-induced vibrations.Computers & Fluids, 275:106248, 2024
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.812750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f394fb12-33b6-4ca2-b02e-b43a12791802 · outbound
This paper cites an unresolved cited work.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Unresolved cited work
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 15a90c0f-89dd-47dc-a3a1-13758ab0fdac · outbound
This paper cites Kara, and Yongjie J.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Kara, and Yongjie J
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.794538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6fcd60c7-6c48-42bd-8051-b5fe375eb7f5 · outbound
This paper cites an unresolved cited work.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T18:47:32.783963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cd63f8d0-0a56-4dc9-bd9d-58ed41d6e58b · outbound
This paper cites an unresolved cited work.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T18:47:32.775306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 958ff7d1-5797-4b20-ac69-fe01d1400cdb · outbound
This paper cites Brunton, Joshua L.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Brunton, Joshua L
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.764900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 21d6fd37-69a4-46cf-85a6-9a50cd01cbc9 · outbound
This paper cites an unresolved cited work.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T18:47:32.755057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 999aee41-284b-4490-8e90-908a2970c060 · outbound
This paper cites an unresolved cited work.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T18:47:32.742877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d01897eb-d26d-4084-a51f-1516a5b7456c · outbound
This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Gomez, Łukasz Kaiser, and Illia Polosukhin
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.733831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 23dc58db-f20f-4266-8fa9-830989a0c157 · outbound
This paper cites Transformers as meta-learners for implicit neural representations.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Transformers as meta-learners for implicit neural representations
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.722463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 69bef789-dda9-4df5-aa22-0d546889a917 · outbound
This paper cites Fries, Xiaolong He, and Youngsoo Choi.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Fries, Xiaolong He, and Youngsoo Choi
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.710796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fc9bb649-cb1f-4331-8942-f4bbdd5d47b3 · outbound
This paper cites A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d79974a-791f-4448-a2d0-24c7ea158fa0 · outbound
This paper cites Messenger and David M.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Messenger and David M
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.701236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9298a6ed-9924-4495-875f-ad2d4c75b731 · outbound
This paper cites Continuous PDE Dynamics Forecasting with Implicit Neural Representations.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:47:32.282834Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02b90b11-d895-4a64-9fe5-9ba4f89082cb · outbound
This paper cites Reduced-order modeling for parameterized PDEs via implicit neural representations.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Reduced-order modeling for parameterized PDEs via implicit neural representations
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a5a0fb7-2cfc-458e-8a28-34b71a3e5b7b · outbound
This paper cites Karniadakis.
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e57c0ea-6350-4db4-9220-fceeab10c702 · outbound
This paper cites Conservative model reduction for finite-volume models.Journal of Computational Physics, 371:280–314, 2018.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Conservative model reduction for finite-volume models.Journal of Computational Physics, 371:280–314, 2018
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f255d5eb-2ff4-4ada-9a2f-75785e62839e · outbound
This paper cites Carlberg.
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.679999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a59713df-f6ff-4d40-a3e9-45867f948386 · outbound
This paper cites Mahoney, and Aditi S.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Mahoney, and Aditi S
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.670322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a0f1e07-1f5a-4d86-9907-9eabe9aaa314 · outbound
This paper cites Towards enforcing hard physics constraints in operator learning frameworks.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Towards enforcing hard physics constraints in operator learning frameworks
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:47:32.303372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06e5d5c9-7991-419e-8439-40fdf35a19d9 · outbound
This paper cites an unresolved cited work.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T18:47:32.651888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e88fa995-ab69-46a4-a74a-bf469c2ec4e1 · outbound
This paper cites Mohan, Nicholas Lubbers, Misha Chertkov, and Daniel Livescu.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Mohan, Nicholas Lubbers, Misha Chertkov, and Daniel Livescu
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.642103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation be47d5d5-9017-4555-88bc-8851e4a64049 · outbound
This paper cites an unresolved cited work.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Unresolved cited work
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:47:32.312526Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfa10ccb-679a-4a9a-9caa-8fba20f17b58 · outbound
This paper cites Representation of divergence-free vector fields.Quarterly of applied mathematics, 69(2):309–316, 2011.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Representation of divergence-free vector fields.Quarterly of applied mathematics, 69(2):309–316, 2011
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.624677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c115df54-56b7-4075-a7dd-db1c88b5b2b3 · outbound
This paper cites Streamfunctionsfordivergence-freevectorfields.Quarterly of applied mathematics, 79(1):163–174, 2021.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Streamfunctionsfordivergence-freevectorfields.Quarterly of applied mathematics, 79(1):163–174, 2021
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.614436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 923fa843-e870-42e7-82f8-43e4b60ea49b · outbound
This paper cites Nonlinear dimen- sionality reduction for parametric problems: A kernel proper orthogonal decomposition.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Nonlinear dimen- sionality reduction for parametric problems: A kernel proper orthogonal decomposition
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.603446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 10d292d3-22ad-497a-9fd3-598b7a6accf5 · outbound
This paper cites Operator inference for non-intrusive model reduction with quadratic manifolds.Computer Methods in Applied Mechanics and Engineering, 403:115717, 2023.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Operator inference for non-intrusive model reduction with quadratic manifolds.Computer Methods in Applied Mechanics and Engineering, 403:115717, 2023
Reference 32
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c25f7ab-e698-47e7-ada9-f1ace6723f5c · outbound
This paper cites Quadratic approximation manifold for mitigating the Kolmogorov barrier in nonlinear projection-based model order reduction.Journal of Computational Physics, 464:111348, 2022.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Quadratic approximation manifold for mitigating the Kolmogorov barrier in nonlinear projection-based model order reduction.Journal of Computational Physics, 464:111348, 2022
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.587741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1acdfb0c-e85a-4c14-a253-c6b8712cbc8d · outbound
This paper cites Carlberg.
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.577289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a3c68e0a-c8e7-4614-ab46-2a8a7e237721 · outbound
This paper cites A fast and ac- curate physics-informed neural network reduced order model with shallow masked au- toencoder.Journal of Computational Physics, 451:110841, 2022.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data A fast and ac- curate physics-informed neural network reduced order model with shallow masked au- toencoder.Journal of Computational Physics, 451:110841, 2022
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.566359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2c55baf1-b15f-473d-8776-3d99b33ed3ff · outbound
This paper cites Learning implicit fields for generative shape modeling.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Learning implicit fields for generative shape modeling
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.556866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f986bf8f-7396-4e91-b1dc-7e00c13909af · outbound
This paper cites DeepSDF: Learning continuous signed distance functions for shape representation.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data DeepSDF: Learning continuous signed distance functions for shape representation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.546594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 998ea729-d404-4176-8ad6-2f5e536eb8bb · outbound
This paper cites an unresolved cited work.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T18:47:32.536104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 946169d2-de90-4c24-8f65-10aa4de44c5c · outbound
This paper cites Chen, Jinxu Xiang, Dong H.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Chen, Jinxu Xiang, Dong H
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.524323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9fbd5447-615e-4298-aec7-d19f2754fb15 · outbound
This paper cites Brunton, and José N.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Brunton, and José N
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.513251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 37ab2be9-7816-4957-9e8d-eed1d40ec8d4 · outbound
This paper cites Learning the intrinsic dynamics of spatio-temporal processes through latent dynamics networks.Nature Communications, 15, 12 2024.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Learning the intrinsic dynamics of spatio-temporal processes through latent dynamics networks.Nature Communications, 15, 12 2024
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.501892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a17be8b5-6731-4cf7-a1e8-313c27a39fbf · outbound
This paper cites Adam: A Method for Stochastic Optimization.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Adam: A Method for Stochastic Optimization
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:47:32.360498Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9368149-4ecd-45a6-a7a2-86f8f52dbb4a · outbound
This paper cites an unresolved cited work.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T18:47:32.490672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d6b2b74a-c394-4a4f-bb08-7c3895de5ade · outbound
This paper cites LeVeque.Finite Volume Methods for Hyperbolic Problems.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data LeVeque.Finite Volume Methods for Hyperbolic Problems
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:47:32.366798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd94a4fc-8898-4600-ad4b-16d9ffca12ed · outbound
This paper cites Mixed finite elements inR3.Numerische Mathematik, 35:315–341, 1980.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Mixed finite elements inR3.Numerische Mathematik, 35:315–341, 1980
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.475815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 87a8e57c-4a20-4eb7-93f7-bf585ab7665f · outbound
This paper cites Karakashian and Wadi N.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Karakashian and Wadi N
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.463412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2989c3bd-e2e6-41a0-84d4-8e0720c9b2ee · outbound
This paper cites Efficient implementation of weighted ENO schemes.Journal of Computational Physics, 126(1):202–228, 1996.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Efficient implementation of weighted ENO schemes.Journal of Computational Physics, 126(1):202–228, 1996
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T18:47:32.451791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5d49b067-ffb6-44fd-8d6a-feef768720fa · outbound
This paper cites Efficientimplementationofessentiallynon-oscillatory shock-capturing schemes.Journal of Computational Physics, 77(2):439–471, 1988.
ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized partial differential equations from sparse and noisy data Efficientimplementationofessentiallynon-oscillatory shock-capturing schemes.Journal of Computational Physics, 77(2):439–471, 1988
Reference 48
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