Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-30T13:47:45.592661Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.27196.
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 2026-07-30T13:47:45.592661Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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
42 of 42 outbound references displayed
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Observation cdfbd3ef-9065-404e-a711-961291db10ae · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Reduced-order modeling: new approaches for computational physics
Reference 1
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Observation 0d9ac6c2-0ea7-4f37-8a43-6d6dce47bf1f · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Model reduction and approximation: theory and algorithms
Reference 2
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Observation d6f303bf-1d0b-4b73-bd1e-7127f4cdf59e · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Model reduction for flow analysis and control
Reference 3
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Observation 085b425d-d50e-4622-881e-bf97c78506eb · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Kernel methods in machine learning
Reference 4
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Observation 68020647-eec1-4f6f-b2c0-6d94d1864b91 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Kernel methods for pattern analysis
Reference 5
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Observation 5776840b-257a-4215-b0cf-0cfffc7c0bc7 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Gaussian processes for regression
Reference 6
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Observation 4cd20666-68a8-49f6-b3e3-2a234a198052 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations A tutorial on gaussian process regression: Modelling, exploring, and exploiting functions
Reference 7
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Observation d9bfc47f-2390-4c90-9050-47b52ef0ddfe · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations An intuitive tutorial to gaussian process regression
Reference 8
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Observation cb15b483-4743-4f5f-b187-3ce1673c8f4a · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Radial basis functions
Reference 9
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Observation c842803c-a9f5-4262-9f2c-0eff6f057867 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations A radial basis function method for the shallow water equations on a sphere
Reference 10
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Observation 4f5a064e-02bf-4e35-8b4e-03272e24f61d · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Deep learning: Foundations and concepts
Reference 11
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Observation 8192d44f-fc9e-4920-99b0-87ae2f91b223 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Understanding deep learning
Reference 12
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Observation 731204cb-fb0e-4a1b-a90b-6ebece015043 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Deep learning with Python
Reference 13
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Observation a403bcf8-2b1e-4c44-bca1-dabf068880e5 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Testing the Manifold Hypothesis
Reference 14
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Observation d47fdf36-5182-4e5e-88d8-c480d5c653fb · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Geometry from a time series
Reference 15
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Observation bbaef40c-16fc-4c83-9561-8dad2f0cd72a · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Locally weighted regression: an approach to regression analysis by local fitting
Reference 16
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Observation fcfd2485-e07d-4355-bd9e-94a90d0a28c8 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations The approximation power of moving least-squares
Reference 17
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Observation ff4b8e79-bd2d-492a-bb79-737e0e28b04f · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Analysis of moving least squares approximation revisited
Reference 18
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Observation 37348336-a6da-4f60-b2e5-c3f69f13241b · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations The partition of unity finite element method: basic theory and applications
Reference 19
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Observation b58292c3-2f8f-4413-bb42-b91633274a5c · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations The partition of unity method
Reference 20
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Observation 4766fdbb-7be0-477e-aa48-c3458889ba99 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Probabilistic partition of unity networks for high-dimensional regression problems
Reference 21
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Observation c3ed2830-7f11-44da-9fb2-b4a22df6d492 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations A clustering technique for the identification of piecewise affine systems
Reference 22
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Observation f268f27f-5bd6-4a7d-86aa-194a22e5df81 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Piecewise affine regression via recursive multiple least squares and multicategory discrimination
Reference 23
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Observation 7cea3793-f0cc-49b8-982f-7c123d8dca49 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations A piecewise linear regression and classification algorithm with application to learning and model predictive control of hybrid systems
Reference 24
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Observation bfbfcc2c-898e-420d-af11-a2578607c435 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Nonlinear model order reduction based on local reduced- order bases
Reference 25
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Observation 9c749b6c-b8fb-4276-bb61-eb0b69b27f6c · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Breaking the kolmogorov barrier in model reduction of fluid flows
Reference 26
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Observation 317821a1-310c-487b-8c27-b2c1d282c008 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Can a Fruit Fly Learn Word Embeddings?
Reference 27
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Observation 14539de3-e8e8-400c-baf3-92936d4b00a1 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Embedology
Reference 28
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Observation 9aad6f6f-7b1a-4e42-abf1-72934d47f9de · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Adaptive mixtures of local experts
Reference 29
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Observation 482cb403-3d31-4693-b6ba-1dafeeed7570 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Reference 30
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Observation 74136e9e-695a-4eed-9224-71cdf05b133c · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Ensemble and Mixture-of-Experts DeepONets For Operator Learning
Reference 31
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Observation f1e2cb85-55bc-4d1b-8ab0-40369d1c94c3 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Regression by classification
Reference 32
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Observation deccbe97-9e17-4e73-ad88-e928002c99fa · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Regression as classification
Reference 33
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Observation 560c0892-84a5-4ef8-a8d4-aff95fb7905e · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Cluster-based reduced-order modelling of a mixing layer
Reference 34
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Observation 6d6413da-b8ab-4fe8-8e65-2efc64223390 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Cluster-based network modeling—from snapshots to complex dynamical systems
Reference 35
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Observation b4f3e912-1763-4cad-be65-71ffb445d7a3 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations A multifidelity deep operator network approach to closure for multiscale systems
Reference 36
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Observation b51a094d-6cdc-4685-8915-e87c05f15365 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Reference 37
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Observation e444f392-a261-40ae-9e34-548228d9651d · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Weighted Nadaraya–Watson regression estimation
Reference 38
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Observation dd11aa5b-0c44-4787-b881-bd838f56ef88 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations A least squares radial basis function partition of unity method for solving pdes
Reference 39
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Observation 2bb9155d-7791-4b2c-af12-4f480380dc3c · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations A comprehensive survey of continual learning: Theory, method and application
Reference 40
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Observation 0829d6d2-2ab3-4733-a38c-aac005b9716c · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations A multifidelity approach to continual learning for physical systems
Reference 41
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Observation b3f9b179-8c8d-4f58-be3e-867ffa2bef64 · outbound
From Classification to Regression: Using a Fruitfly to Solve Equations Enhancing classification accuracy through chaos
Reference 42
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No inbound Pith citation observations are available.