Paper Citation Record · LEDGER

Computational Efficiency under Covariate Shift in Kernel Ridge Regression

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2505.14083.

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

pith.paper-citation-record.v1
2505.14083 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:28.767373Z

measured 15 of 15 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

14 of 14 outbound references displayed

verified exact1
verified fuzzy5
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

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

Outbound references

Observation d6b97c28-4fc4-47c1-98b3-d8f0d948dcfc · outbound

This paper cites (2015) it’s easy to show that bΣ1/2 wλ V(V ∗ bΣwλV) −1V ∗ bΣ1/2 wλ 2 = bΣ1/2 wλ V(V ∗ bΣwλV) −1V ∗ bΣ1/2 wλ , and therefore the only possible values forA 2 are0and1.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression (2015) it’s easy to show that bΣ1/2 wλ V(V ∗ bΣwλV) −1V ∗ bΣ1/2 wλ 2 = bΣ1/2 wλ V(V ∗ bΣwλV) −1V ∗ bΣ1/2 wλ , and therefore the only possible values forA 2 are0and1

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:29.991911Z

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 e8c866b7-19d0-4018-bb05-d9fcd1de88c0 · outbound

This paper cites an unresolved cited work.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:42:30.993635Z

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 58593dd6-21cd-428b-b90f-acd0de1c0759 · outbound

This paper cites an unresolved cited work.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:42:31.188539Z

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 81777b0e-bd1c-4d4f-8ab3-82b125d11e4a · outbound

This paper cites This term can be controlled using Proposition 2 above.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression This term can be controlled using Proposition 2 above

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:29.747396Z

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 f951f5e7-b69a-47d8-b916-d76f2208db15 · outbound

This paper cites an unresolved cited work.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:42:30.576703Z

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 89ad2963-a03c-4a94-b26e-c4fb8e7e4273 · outbound

This paper cites Thus, by taking a union bound again, we have β3(λ)⩽ 2 log 2n τ 3m + s 16T 2Nρte X (λ) log 2n τ m with probability1−2τ−δ.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression Thus, by taking a union bound again, we have β3(λ)⩽ 2 log 2n τ 3m + s 16T 2Nρte X (λ) log 2n τ m with probability1−2τ−δ

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:30.237240Z

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 7f1478c4-de5a-4856-8276-67b439fb98bf · outbound

This paper cites an unresolved cited work.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-08-07T15:42:29.492467Z

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 f97b5d30-df9d-41b8-98d6-b3aec2e224f3 · outbound

This paper cites B., Lee, Y.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression B., Lee, Y

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:31.869199Z

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 31780883-f6ca-4c98-ae2e-04a56342927f · outbound

This paper cites Domain Adaptation: Learning Bounds and Algorithms.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression Domain Adaptation: Learning Bounds and Algorithms

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:27.225168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b1057de-c02a-433e-864d-ce1491eff738 · outbound

This paper cites Learning bounds for kernel regression using effective data dimensionality.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression Learning bounds for kernel regression using effective data dimensionality

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:31.482433Z

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 31f9970c-0473-4144-af61-a42d887bc094 · outbound

This paper cites Less is More: Nystr\"om Computational Regularization.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression Less is More: Nystr\"om Computational Regularization

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:27.399622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 266c5dc6-a8ae-4f60-a424-aaf503ff195d · outbound

This paper cites Sketching as a Tool for Numerical Linear Algebra.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression Sketching as a Tool for Numerical Linear Algebra

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:27.518948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bb1a404-9821-45b1-85f1-41e43573f544 · outbound

This paper cites Gaussian Sketching yields a J-L Lemma in RKHS.

Computational Efficiency under Covariate Shift in Kernel Ridge Regression Gaussian Sketching yields a J-L Lemma in RKHS

Reference 2021

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:42:29.184757Z

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 3b651121-8c84-490c-959e-dd46832ed935 · outbound

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

Computational Efficiency under Covariate Shift in Kernel Ridge Regression When is Importance Weighting Correction Needed for Covariate Shift Adaptation?

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:26.910628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8eac807a-fa78-4164-abfa-f6552e4fe8c5 · 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 Computational Efficiency under Covariate Shift in Kernel Ridge Regression

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-26T10:49:18.798809Z

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.