Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T06:43:53.511214Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2607.21823.
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 2026-08-01T06:43:53.511214Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
64 of 64 outbound references displayed
External citation measurements
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Observation 2f7e6e8a-e33f-4af3-a42f-485af87e8929 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Theory of reproducing kernels,
Reference 1
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Observation 73b2d82d-b021-4709-84ec-b7c5c98d3392 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA The kernel trick for distances,
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Universal kernels
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Observation 3037c12a-e3f8-4661-9c88-5f0ec9c06f81 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Universality, characteristic kernels and RKHS embedding of measures,
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Some results on Tchebycheffian spline functions,
Reference 5
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV,
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA A generalized representer theorem,
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Support-vector networks,
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Comparing support vector machines with Gaussian kernels to radial basis function classifiers,
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Observation 6df5bf85-dfc4-427c-a6fd-71815ed42c02 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA A practical approach to model selection for support vector machines with a Gaussian kernel,
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Observation 9a794b76-3f2b-447d-b1f5-3343e2c88360 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA An approximation of the Gaussian RBF kernel for efficient classification with SVMs,
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Observation 7e0a037f-2b8d-45c9-ad27-edefc51d94c7 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA An on-chip-trainable Gaussian-kernel analog support vector machine,
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Observation 3467d399-5e6d-46a7-8f0a-9d6112fed64a · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Parameter selection of Gaussian kernel for one-class SVM,
Reference 13
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Efficient model selection for support vector machine with Gaussian kernel function,
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Observation 9db65239-fd9e-45f2-aa43-d04c3d252034 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Random Fourier features for kernel ridge regression: Approximation bounds and statistical guarantees,
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Observation 220b55e9-81fb-475b-9c9f-07027bd9f879 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Scalable and memory-efficient kernel ridge regression,
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Observation cbd006c9-0e7c-4798-96e6-d144dc5d5daa · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Predicting nuclear masses with the kernel ridge regression,
Reference 17
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Observation 9e362942-dab7-44e3-a26a-53a0e1c19caa · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel ridge regression-based chirplet transform for non-stationary signal anal- ysis and its application in machine fault detection under varying speed conditions,
Reference 18
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Divide and conquer kernel ridge regression,
Reference 19
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel ridge regression for general noise model with its application,
Reference 20
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Observation 4f5029b0-a99b-4581-bd8f-00c6b5bc4370 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Model selection in kernel ridge regression,
Reference 21
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Conformalized kernel ridge regression,
Reference 22
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Two-stage learning kernel algorithms,
Reference 23
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Observation 272755bc-c897-4476-90c7-179bbe132dff · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Algorithms for learning kernels based on centered alignment,
Reference 24
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Similarity of neural network representations revisited,
Reference 25
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
Reference 26
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Emerging cross-lingual structure in pretrained language models,
Reference 27
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Observation 7df12d8c-5ffd-4e9b-9cfd-00b5455964c5 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Universality and individuality in neural dynamics across large populations of recurrent networks,
Reference 28
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Observation 6d3f63db-5ced-46d6-ad8f-4c2b412273c8 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Identification of drug-side effect association via multiple information integration with centered kernel alignment,
Reference 29
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel-based relevance analysis with enhanced interpretability for detection of brain activity patterns,
Reference 30
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Observation 7a37f74f-0c86-4f5e-ba2d-80cdc0ef4992 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Available: https://www.sciencedirect.com/science/ article/pii/S0925231218312165
Reference 31
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Observation 314a672a-9ac0-4d90-b87f-e81a71bbc16f · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Pyrcca: regularized kernel canonical correlation analysis in python and its applications to neuroimaging,
Reference 32
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Observation f92c31d8-e60b-4020-b8b3-ed3e873e4106 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Entangled watermarks as a defense against model extraction,
Reference 33
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Graph multiview canonical correlation analysis,
Reference 34
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Independence test and canonical correlation analysis based on the alignment between ker- nel matrices for multivariate functional data,
Reference 35
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Observation 39063a5d-ed20-4eb4-97ac-cf8a11d42bc9 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Real-time data driven de- formation using kernel canonical correlation analysis,
Reference 36
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Observation 4d99c415-d5e1-4f53-a4ca-e2576e59cda2 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Statistical consistency of kernel canonical correlation analysis
Reference 37
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel principal component analysis,
Reference 38
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Observation 6a681f3a-7230-43d8-b0be-7907c2e59b92 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Facial expression recognition using kernel canonical correlation analysis (KCCA),
Reference 39
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Observation 9f0ff847-ef57-4122-bf88-fb1f73a7e2b6 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Model selection for Gaussian kernel PCA denoising,
Reference 40
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Nonlinear component analysis as a kernel eigenvalue problem,
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Convex formulation for kernel PCA and its use in semisupervised learning,
Reference 42
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Streaming kernel principal component analysis,
Reference 43
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant,
Reference 44
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel PCA for novelty detection,
Reference 45
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Observation 96ced298-64e5-48cc-9ae8-1932e2558ef7 · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Kernel PCA for feature extraction and de-noising in nonlinear regression,
Reference 46
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Reference 47
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Reference 48
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Observation e2302d7b-b3aa-42fe-a713-680da2380a33 · outbound
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Observation b94e18fc-427d-4f77-aee1-c0a00e36563e · outbound
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Observation 6fe59be6-9367-49c4-95d1-a8feb74a804f · outbound
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Observation 25736981-ab49-4238-9c9a-6d77173eb9c7 · outbound
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Observation 32b3636f-880a-43fb-9f7a-0ffd60fda370 · outbound
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Reference 53
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Observation 5097961d-63c0-4d5b-90f2-115360109b3c · outbound
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Reference 54
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Observation 2623f0dd-bae6-4c26-bddc-62e899cc5b34 · outbound
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Reference 58
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Observation 589bf058-766e-43e1-8f03-53784f370037 · outbound
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Reference 59
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Matplotlib: A 2D graphics environment,
Reference 60
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Array programming with NumPy,
Reference 61
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Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Data Structures for Statistical Computing in Python,
Reference 62
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Reference 63
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Observation 0738f6f8-9768-4b22-bac4-5cd4d7827efc · outbound
Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA Available: https://proceedings.neurips.cc/paper/ 2019/file/5f5d472067f77b5c88f69f1bcfda1e08-Paper.pdf
Reference 2019
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.