Paper Citation Record · LEDGER

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2509.05106.

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

pith.paper-citation-record.v1
2509.05106 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:45:34.885368Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:46:07.884727Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy35
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation e50dbd04-f725-4f9a-aaf4-e9af8ff4aefe · outbound

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

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Optimal learning rates for kernel conjugate gradient regression,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:40.667947Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3c6575fd-2f29-4710-967d-e678bb191c7a · outbound

This paper cites Optimal rates for regularization of statistical inverse learning problems,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Optimal rates for regularization of statistical inverse learning problems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:40.526369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 21d7f93e-7f0b-4211-9588-88155206c85b · outbound

This paper cites What is the effect of importance weighting in deep learning?.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift What is the effect of importance weighting in deep learning?

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:40.393245Z

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Observation fb74f69f-e4b2-4745-91a3-15a71f935311 · outbound

This paper cites Stochastic gradient descent for two-layer neural networks,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Stochastic gradient descent for two-layer neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:40.268725Z

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Observation c001a9a4-de78-4713-8c2c-755622f8a941 · outbound

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

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Optimal rates for the regularized least-squares algorithm,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:40.140373Z

Source-reported events for the cited work

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Observation 9801dfd7-921c-41f8-8548-ab08df772a42 · outbound

This paper cites an unresolved cited work.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:45:39.997123Z

Source-reported events for the cited work

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Observation 6987947b-c3f4-449c-bf01-002e3088e76b · outbound

This paper cites Cucker and D.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Cucker and D

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:39.893470Z

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Observation 3dd9f43a-a9f9-4d6d-b9ab-f85ef9fbfa76 · outbound

This paper cites Regularization of inverse problems,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Regularization of inverse problems,

Reference 8

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Observation f761c38d-788f-4d50-b2bc-b5e1e345b19b · outbound

This paper cites Spectral algorithms for functional linear regression,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Spectral algorithms for functional linear regression,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:39.604270Z

Source-reported events for the cited work

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Observation 9daf9fe3-0bb4-48af-a88d-a12817da4315 · outbound

This paper cites Spectral algorithms under covariate shift,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Spectral algorithms under covariate shift,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:39.506451Z

Source-reported events for the cited work

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Observation f03334a6-62e4-4fd0-b84b-8e6eaed17ee1 · outbound

This paper cites Deep nonparametric quantile regression under covariate shift,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Deep nonparametric quantile regression under covariate shift,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:39.384746Z

Source-reported events for the cited work

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Observation cd3194a2-22e4-469e-a1aa-cea53721e397 · outbound

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

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Towards a unified analysis of kernel-based methods under covariate shift,

Reference 12

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Source-reported events for the cited work

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Observation e0d63811-ff21-433f-9ebf-18dc3c21db3b · outbound

This paper cites The clinician and dataset shift in artificial intelligence,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift The clinician and dataset shift in artificial intelligence,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:39.101868Z

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Observation 519f4066-7ee0-444c-9459-c6432e5e9de6 · outbound

This paper cites Sobolev norm learning rates for regularized least-squares algorithms,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Sobolev norm learning rates for regularized least-squares algorithms,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:38.939333Z

Source-reported events for the cited work

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Observation d310b829-0cf2-45a2-bd09-1a272b7e5af7 · outbound

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

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift On a regularization of unsupervised domain adaptation in rkhs,

Reference 15

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Source-reported events for the cited work

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Observation 4ae318ac-ea7f-4c1b-a2a8-5974331c6dbd · outbound

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

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift When is Importance Weighting Correction Needed for Covariate Shift Adaptation?

Reference 16

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Source-reported events for the cited work

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Observation 7468759b-22f0-4c95-8923-b11fe71745d4 · outbound

This paper cites Gradient descent for robust kernel-based regression,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Gradient descent for robust kernel-based regression,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:38.632486Z

Source-reported events for the cited work

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Observation 562cb220-71e0-46e3-b2b4-855918acd114 · outbound

This paper cites Learning theory of distributed spectral algorithms,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Learning theory of distributed spectral algorithms,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:38.508793Z

Source-reported events for the cited work

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Observation b144b40b-932b-4603-86a0-ceb439e06a85 · outbound

This paper cites Early stopping for iterative regularization with general loss functions,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Early stopping for iterative regularization with general loss functions,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:38.368278Z

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Observation ab648998-69d2-48ca-a3b5-96c5619c6c70 · outbound

This paper cites Correcting sample selection bias by unlabeled data,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Correcting sample selection bias by unlabeled data,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:38.216593Z

Source-reported events for the cited work

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Observation 3892d802-d919-4668-9a6d-0227cd89ae57 · outbound

This paper cites A short survey on importance weighting for machine learning,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift A short survey on importance weighting for machine learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:38.064131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 65cf9463-847f-4551-ad3b-9ac1a5724200 · outbound

This paper cites Optimal rates for regularized conditional mean embed- ding learning,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Optimal rates for regularized conditional mean embed- ding learning,

Reference 22

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Observation 45836b1d-7620-4b1e-b438-92f0101b1232 · outbound

This paper cites Towards a unified analysis of random fourier features,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Towards a unified analysis of random fourier features,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:37.749582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 44938b0b-bda9-4c32-a17a-2e3f5bd24dec · outbound

This paper cites Optimal rates for spectral algorithms with least-squares regression over hilbert spaces,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Optimal rates for spectral algorithms with least-squares regression over hilbert spaces,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:37.570075Z

Source-reported events for the cited work

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Observation 6234a6fb-b929-41c8-81df-74fb2c104adf · outbound

This paper cites Spectral algorithms for supervised learning,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Spectral algorithms for supervised learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:37.412058Z

Source-reported events for the cited work

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Observation eb0d83b1-f0c3-4383-9bc7-64fb9f743688 · outbound

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

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Optimally tackling covariate shift in rkhs-based nonparametric regression,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:37.274126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ee20bcd8-e781-4e4b-90f3-64326da3ad54 · outbound

This paper cites On regularized radon-nikodym differentiation,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift On regularized radon-nikodym differentiation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:37.122097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae2b5d5b-2403-4bcb-8a02-4bf4a9938dd1 · outbound

This paper cites Qui˜ nonero-Candela, M.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Qui˜ nonero-Candela, M

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:36.969588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92fe1f81-9ac5-48a6-af48-3dca4124e53f · outbound

This paper cites Early stopping for non-parametric regression: An optimal data- dependent stopping rule,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Early stopping for non-parametric regression: An optimal data- dependent stopping rule,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:36.781429Z

Source-reported events for the cited work

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Observation 15954f7b-4c2d-42db-a299-8c5819645920 · outbound

This paper cites Generalization properties of learning with random features,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Generalization properties of learning with random features,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:36.605900Z

Source-reported events for the cited work

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Observation 2b6b6be5-7135-4fd4-8092-464e72ab4c7d · outbound

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

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Improving predictive inference under covariate shift by weighting the log-likelihood function,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:36.435354Z

Source-reported events for the cited work

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Observation 2471c474-b684-47b5-ab99-d19a1bc10184 · outbound

This paper cites Mercer’s theorem on general domains: On the interaction between measures, kernels, and rkhss,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Mercer’s theorem on general domains: On the interaction between measures, kernels, and rkhss,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:36.268293Z

Source-reported events for the cited work

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Observation d17df4c7-9333-4661-8444-056bd3ea6115 · outbound

This paper cites Sugiyama, T.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Sugiyama, T

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:36.085226Z

Source-reported events for the cited work

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Observation 06bd18a9-0d08-42ac-9ade-9440a8c1d149 · outbound

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Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Unresolved cited work

Reference 34

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Observation 00be780f-f7ab-4996-8f21-0bdc111c3726 · outbound

This paper cites Risk bounds for the regularized least-squares algorithm with operator-valued kernels,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Risk bounds for the regularized least-squares algorithm with operator-valued kernels,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:35.766795Z

Source-reported events for the cited work

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Observation 2944be4e-3660-4d86-860c-026a50466653 · outbound

This paper cites Learning from examples as an inverse problem,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Learning from examples as an inverse problem,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:35.608695Z

Source-reported events for the cited work

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Observation ea4da690-f502-44cc-85e6-42a62293cd3f · outbound

This paper cites Robust learning under uncertain test distributions: Relating covariate shift to model misspecification,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Robust learning under uncertain test distributions: Relating covariate shift to model misspecification,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:35.440263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56a4685b-ae94-4bc4-ba39-3517bc00e6a6 · outbound

This paper cites Understanding the role of importance weighting for deep learning,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Understanding the role of importance weighting for deep learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:45:35.269633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 07c9572f-a3a7-4e81-80bb-37292c90e9f5 · outbound

This paper cites Estimating Unbounded Density Ratios: Applications in Error Control under Covariate Shift.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Estimating Unbounded Density Ratios: Applications in Error Control under Covariate Shift

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T05:45:34.786763Z

Source-reported events for the cited work

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Observation 741fc225-8236-4e4e-9f8a-0b73a193043d · outbound

This paper cites On the optimality of misspecified spectral algorithms,.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift On the optimality of misspecified spectral algorithms,

Reference 40

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T05:45:35.111251Z

Source-reported events for the cited work

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Observation 3006cec3-ef68-4c31-bd9d-32001e1453cc · outbound

This paper cites Stochastic Gradient Descent for Two-layer Neural Networks.

Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift Stochastic Gradient Descent for Two-layer Neural Networks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T05:45:31.461213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation dc273fb1-0262-43dc-9e30-6098155a99ab · inbound

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case cites this paper.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-26T10:49:18.795874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.