Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-30T11:37:19.230698Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.27137.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-30T11:37:19.230698Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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
32 of 32 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 99cf43ca-a3d9-4dff-9b85-010bc069d950 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter
Reference 1
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Observation b079c667-e3f0-4945-89c3-fa6856ee61c1 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Machine learning- based new sparse algorithms and reinforcement learning for computational fluid dynamics
Reference 2
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Observation 23dbcbc4-7e27-4027-b554-3c7fe4d672c8 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Automated model discovery based on covid-19 epidemiologic data.medRxiv, pages 2026–02, 2026
Reference 3
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Observation ca44efc3-0e38-4887-ae4b-b0f5f60313fa · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Parameter estimation in a stochastic seihr model of covid-19 using the enkf: A case study based on real-world data.Chaos, Solitons & Fractals , 208:118225, 2026
Reference 4
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Observation c314330d-9731-4502-a53a-e75460e70c33 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Sparse identification of nonlinear dynamics for stochastic delay differential equations.Journal of Computational and Applied Mathematics, page 117247, 2025
Reference 5
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Observation 2a36ab33-40d3-4afd-8fca-a9ad7d30314f · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the National Academy of Sciences , 113(15):3932–3937, 2016
Reference 6
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Observation 65643548-98e9-49fd-bbd2-465542d19d87 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Chikungunya virus–vector interactions
Reference 7
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Observation a855fa4d-e114-4d1c-82d7-08dfb3da5373 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data On the definition and the computation of the basic reproduction ratio r 0 in models for infectious diseases in heterogeneous populations
Reference 8
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Observation 2c87d639-26a9-4b4f-9187-e28a7060c969 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data The ensemble kalman filter: Theoretical formulation and practical implementation.Ocean dynamics, 53(4):343–367, 2003
Reference 9
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Observation 8e0235ba-9c7c-4f49-b7f5-ea9cc5a41434 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Ensemble-sindy.Proceedings: Mathematical, Physical and Engineering Sciences, 478(2260):1–20, 2022
Reference 10
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Observation 934a97fd-9ac5-4de2-8ee4-addf63bfeb19 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Unresolved cited work
Reference 11
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Observation 930e15ca-52da-47d7-8ddc-5e4b33b4e26a · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Sparseidentificationofnonlineardynamics with low-dimensionalized flow representations.Journal of Fluid Mechanics , 926:A10, 2021
Reference 12
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Observation bc703199-b473-4d32-8b4e-a1a533948382 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Unresolved cited work
Reference 13
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Observation 207cf820-c1e6-4507-a910-93d949be6f13 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Spatial modes for transmission of chikungunya virus during a large chikungunya outbreak in italy: a modeling analysis
Reference 14
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Observation 819de113-9b60-44d9-a9d7-2c423a081ab5 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Modeling and prediction of the transmission dynamics of covid-19 based on the sindy-lm method.Nonlinear Dynamics, 105(3):2775–2794, 2021
Reference 15
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Observation a8db7365-7b51-4436-bd45-843aa610360f · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Automatic differentiation to simulta- neously identify nonlinear dynamics and extract noise probability distributions from data
Reference 16
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Observation d11f8174-8b57-41e8-ab8c-33ba32b256e3 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Unresolved cited work
Reference 17
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Unavailable: canonical work link unavailable.
Observation ae4bf735-5244-48e0-b64a-481459224d15 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data An application of the ensemble kalman filter in epidemiological modeling
Reference 18
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Observation 73ddc718-8d75-4ad5-844a-414a32afa34c · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Uncovering dynamical equations of stochastic decision models using data-driven sindy algorithm.Neural Computation, 37(3):569–587, 2025
Reference 19
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Observation 3f57f9b8-d2e9-43c4-ac0f-6bca230170ca · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Reemergence of chikungunya virus.Journal of virology, 88(20):11644–11647, 2014
Reference 20
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Observation fe257cf7-178c-4516-9978-e6b7014d9ba6 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Data- driven identification of biological systems using multi-scale analysis
Reference 21
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Observation 221df3fc-e6a9-4867-84c9-ae31e169af03 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Derivative-free domain- informed data-driven discovery of sparse kinetic models.Industrial & Engineering Chemistry Research , 64(5):2601–2615, 2025
Reference 22
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Observation 270ff018-c80e-438f-9a6e-cdbcac5e3e97 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Ekf–sindy: Empow- ering the extended kalman filter with sparse identification of nonlinear dynamics.Computer Methods in Applied Mechanics and Engineering , 431:117264, 2024
Reference 23
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Observation 3753e629-49f6-40e4-b68f-94309087ff48 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Online learning in bifurcating dynamic systems via SINDy and Kalman filtering
Reference 24
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Observation 55491abf-325a-4a9f-b889-fb159b6a78a4 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Unresolved cited work
Reference 25
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Observation 831c1cf0-2a51-4869-aced-32a4e53a83ab · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission.Mathematical biosciences, 180(1-2):29–48, 2002
Reference 26
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Observation 9053323b-bf6d-4c7e-a947-f3491eb67e0b · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data The law of mass action in epidemiology
Reference 27
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Observation c8e77e97-160c-4c3a-813b-45d96dc4313f · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Basic reproduction numbers for a class of reaction-diffusion epidemic models
Reference 28
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Observation f5f6247f-2926-4950-945d-de5c9bc75eb7 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data On the convergence of the sindy algorithm.Multiscale Modeling & Simulation, 17(3):948–972, 2019
Reference 29
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Observation 4803fce4-8d84-4146-973a-5921fd516764 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Ensemble kalman method for learning turbulence models from indirect observation data.Journal of Fluid Mechanics , 949:A26, 2022
Reference 30
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Observation e738fcc5-92b9-4aa1-ab3d-4102e238d4ea · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Global resurgence of chikungunya virus: outbreak drivers and emerging solutions
Reference 31
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Observation 314714e0-bc75-48cc-a365-d6f2a395e272 · outbound
Hybrid SINDy-EnKF in Learning Chikungunya Dynamics from Incomplete, Noisy or Partially Observed Data Chikungunya virus in 2025: Epidemiology, immunopathogenesis, and vaccine development—a narrative review.Infection and Drug Resistance, pages 1–14, 2026
Reference 32
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No inbound Pith citation observations are available.