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Paper Citation Record · LEDGER

Spectral Algorithms under Covariate Shift

As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2504.12625.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.12625 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:34:29.523644Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 221f1d86-0d09-44e3-b61f-a3c5e5cc54a2 · outbound

This paper cites Theory of reproducing kernels.

Spectral Algorithms under Covariate Shift Theory of reproducing kernels

Reference 1

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Observation 8afc6b67-2757-43fc-80b6-131615d677a6 · outbound

This paper cites Matrix A nalysis, V olume 169 of G raduate T exts in M athematics, 1997.

Spectral Algorithms under Covariate Shift Matrix A nalysis, V olume 169 of G raduate T exts in M athematics, 1997

Reference 2

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Observation df38d6d6-9574-419b-8d22-65c1b5b464bf · outbound

This paper cites On regularization algorithms in learning theory.

Spectral Algorithms under Covariate Shift On regularization algorithms in learning theory

Reference 3

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Observation c015fc28-7103-421d-b46d-8f3a0b66272d · outbound

This paper cites Discriminative learning under covariate shift.

Spectral Algorithms under Covariate Shift Discriminative learning under covariate shift

Reference 4

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Observation b09d446e-9ab3-4908-a007-f559cd1bc81a · outbound

This paper cites Optimal learning rates for kernel conjugate gradient regression.

Spectral Algorithms under Covariate Shift Optimal learning rates for kernel conjugate gradient regression

Reference 5

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e9bcc59a-dc25-41ba-adb0-d73336ee4ae8 · outbound

This paper cites Domain generalization by marginal transfer learning.

Spectral Algorithms under Covariate Shift Domain generalization by marginal transfer learning

Reference 6

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Observation e5e178c8-9cdf-47c3-8e84-958353a6560d · outbound

This paper cites Concentration Inequalities: A Nonasymptotic Theory of Independence.

Spectral Algorithms under Covariate Shift Concentration Inequalities: A Nonasymptotic Theory of Independence

Reference 7

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Observation bd6cbf60-1b25-47e8-bbcc-85fd4ea89915 · outbound

This paper cites Optimal rates for the regularized least-squares algorithm.

Spectral Algorithms under Covariate Shift Optimal rates for the regularized least-squares algorithm

Reference 8

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source=arxiv_source observed=2026-08-16T12:34:29.399380Z digest=sha256:8e30fe3207d6227c967302ae4acf7c82fa8a79bb590ec1cdb5489e9b8b9e2a4f

Observation 45ac80ad-1edd-4dc7-b320-2b9cab7bf01a · outbound

This paper cites Learning bounds for importance weighting.

Spectral Algorithms under Covariate Shift Learning bounds for importance weighting

Reference 9

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Observation 240403e7-496f-43b4-b1ce-7e2514b7a216 · outbound

This paper cites Learning Theory: An Approximation Theory Viewpoint.

Spectral Algorithms under Covariate Shift Learning Theory: An Approximation Theory Viewpoint

Reference 10

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Source-reported events for the cited work

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Observation e2d82a8a-952d-4c80-a3e9-51b07204508b · outbound

This paper cites Learning from examples as an inverse problem.

Spectral Algorithms under Covariate Shift Learning from examples as an inverse problem

Reference 11

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Observation 7d89942b-e266-4eea-a8bf-49ab57bced64 · outbound

This paper cites Computational Efficiency under Covariate Shift in Kernel Ridge Regression.

Spectral Algorithms under Covariate Shift Computational Efficiency under Covariate Shift in Kernel Ridge Regression

Reference 12

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Observation 62f92872-d2b2-47e8-8eb0-824299ee831d · outbound

This paper cites Regularization of inverse problems.

Spectral Algorithms under Covariate Shift Regularization of inverse problems

Reference 13

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation cb14b608-a75e-4822-95d4-91785abf3cb5 · outbound

This paper cites Spectral algorithms for functional linear regression.

Spectral Algorithms under Covariate Shift Spectral algorithms for functional linear regression

Reference 14

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation caa6a6d9-a953-4075-b9d9-abf0ca62edf4 · outbound

This paper cites Rethinking importance weighting for deep learning under distribution shift.

Spectral Algorithms under Covariate Shift Rethinking importance weighting for deep learning under distribution shift

Reference 15

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Observation 02a2140d-6cc2-43ce-85af-6ac6b573372b · outbound

This paper cites Towards a unified analysis of kernel-based methods under covariate shift.

Spectral Algorithms under Covariate Shift Towards a unified analysis of kernel-based methods under covariate shift

Reference 16

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 64dc77b6-d60b-41a8-9a89-e8e5bd898355 · outbound

This paper cites Spectral algorithms for supervised learning.

Spectral Algorithms under Covariate Shift Spectral algorithms for supervised learning

Reference 17

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Observation bd41ba8e-9eef-4b8b-bca4-b56ffc2aea98 · outbound

This paper cites On a regularization of unsupervised domain adaptation in RKHS.

Spectral Algorithms under Covariate Shift On a regularization of unsupervised domain adaptation in RKHS

Reference 18

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0839ff6d-953f-45c9-a2c5-e69cd1fca83a · outbound

This paper cites When is Importance Weighting Correction Needed for Covariate Shift Adaptation?.

Spectral Algorithms under Covariate Shift When is Importance Weighting Correction Needed for Covariate Shift Adaptation?

Reference 19

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Observation cccb91e8-605b-4055-b1c2-74349072f980 · outbound

This paper cites Covariate shift by kernel mean matching.

Spectral Algorithms under Covariate Shift Covariate shift by kernel mean matching

Reference 20

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Observation 9f2a9ba2-d22a-4cb5-8502-23f1b3cca3f2 · outbound

This paper cites Capacity dependent analysis for functional online learning algorithms.

Spectral Algorithms under Covariate Shift Capacity dependent analysis for functional online learning algorithms

Reference 21

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Observation 7b471f01-2a5b-4c15-8530-b3e23f08d9f3 · outbound

This paper cites Learning theory of distributed spectral algorithms.

Spectral Algorithms under Covariate Shift Learning theory of distributed spectral algorithms

Reference 22

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Observation 475bf873-bb5d-4255-afdb-df6baa719aa6 · outbound

This paper cites Lo RA : Low-rank adaptation of large language models.

Spectral Algorithms under Covariate Shift Lo RA : Low-rank adaptation of large language models

Reference 23

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Observation c8e4736c-d158-4b29-9972-8089fc2f670c · outbound

This paper cites A least-squares approach to direct importance estimation.

Spectral Algorithms under Covariate Shift A least-squares approach to direct importance estimation

Reference 24

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Observation 69af1445-3ac3-46f0-a33c-3dd7b388d170 · outbound

This paper cites Statistical analysis of kernel-based least-squares density-ratio estimation.

Spectral Algorithms under Covariate Shift Statistical analysis of kernel-based least-squares density-ratio estimation

Reference 25

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Observation 40e871c8-aba0-42df-9ac1-762cd306515a · outbound

This paper cites Distributed learning with regularized least squares.

Spectral Algorithms under Covariate Shift Distributed learning with regularized least squares

Reference 26

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Observation 1e9081e5-5438-48b8-8511-154e7cb28fa4 · outbound

This paper cites Balancing principle in supervised learning for a general regularization scheme.

Spectral Algorithms under Covariate Shift Balancing principle in supervised learning for a general regularization scheme

Reference 27

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Observation 5c538475-79df-4816-9de9-4fbb28cf97b7 · outbound

This paper cites Optimally tackling covariate shift in RKHS -based nonparametric regression.

Spectral Algorithms under Covariate Shift Optimally tackling covariate shift in RKHS -based nonparametric regression

Reference 28

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Observation b0632420-a9a9-438e-ae36-d5d27097449e · outbound

This paper cites Multiple source adaptation and the R \'e nyi divergence.

Spectral Algorithms under Covariate Shift Multiple source adaptation and the R \'e nyi divergence

Reference 29

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Observation 3b4663f3-4d40-47b5-8fbd-abdf29a62336 · outbound

This paper cites General regularization in covariate shift adaptation.

Spectral Algorithms under Covariate Shift General regularization in covariate shift adaptation

Reference 30

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Observation ac032dcd-2b44-4433-a17c-b24694a9bac5 · outbound

This paper cites Estimating divergence functionals and the likelihood ratio by convex risk minimization.

Spectral Algorithms under Covariate Shift Estimating divergence functionals and the likelihood ratio by convex risk minimization

Reference 31

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Observation 743c4da0-1159-436f-abe3-ef4702b6a973 · outbound

This paper cites A survey on transfer learning.

Spectral Algorithms under Covariate Shift A survey on transfer learning

Reference 32

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Observation 5e19ef9c-5319-429d-b358-227dc22bdb73 · outbound

This paper cites Optimum bounds for the distributions of martingales in B anach spaces.

Spectral Algorithms under Covariate Shift Optimum bounds for the distributions of martingales in B anach spaces

Reference 33

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation cb346490-56e7-463f-88da-cf3bdcd7ed0b · outbound

This paper cites Improving predictive inference under covariate shift by weighting the log-likelihood function.

Spectral Algorithms under Covariate Shift Improving predictive inference under covariate shift by weighting the log-likelihood function

Reference 34

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source=arxiv_source observed=2026-08-16T12:34:29.504762Z digest=sha256:392f30ea5b2f88aaa1ee84b7cc05f5c361ade1c0bb3975c0c442c7b3ea10a456

Observation 60dc781f-767a-4936-9f5c-711c052f1712 · outbound

This paper cites Estimating the approximation error in learning theory.

Spectral Algorithms under Covariate Shift Estimating the approximation error in learning theory

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3cace066-eb84-4b85-834b-0f8208fc373b · outbound

This paper cites Covariate shift adaptation by importance weighted cross validation.

Spectral Algorithms under Covariate Shift Covariate shift adaptation by importance weighted cross validation

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T12:34:29.513634Z digest=sha256:73c47b5896a6f8dc6a8d6ca9f44dad772caa89289c7c40ea5f9752b20e981134

Observation e58a376c-2c11-404a-be2c-e09f45704d51 · outbound

This paper cites Density Ratio Estimation in Machine Learning.

Spectral Algorithms under Covariate Shift Density Ratio Estimation in Machine Learning

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:34:29.518702Z digest=sha256:c86a0f12546f0cb244fd301234a5426094d3536187c7f9fa4118eb710bca27d8

Observation 1b73e7d5-644a-4a21-a1e1-cc3405b17c7e · outbound

This paper cites Adaptive learning of density ratios in RKHS.

Spectral Algorithms under Covariate Shift Adaptive learning of density ratios in RKHS

Reference 38

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