Pith. sign in

Paper Citation Record · LEDGER

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2606.22259.

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

pith.paper-citation-record.v1
2606.22259 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

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

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb561e6f-8e86-4b22-b480-018ec917d9bd · outbound

This paper cites Shimodaria Improving Predictive Inference under covariate shift by weighting the log-likelyhood function Journal of Statistical Planning and Inference.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Shimodaria Improving Predictive Inference under covariate shift by weighting the log-likelyhood function Journal of Statistical Planning and Inference

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:9fc45674e778c54a42bb3ab6816f94b643f3ad8b5d98615c9b74231ead2a8350

Observation cfb060cb-90c7-4e8a-86fd-7ddcb3daef53 · outbound

This paper cites Huang, A.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Huang, A

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:c9d484bb48329ebfbc37e4c534a0351e75549ae69a953eac73992e110f808993

Observation dca342f0-60bd-4751-b8de-32a07d196fcf · outbound

This paper cites Molchan, J.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Molchan, J

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:d4e31c52d22ab69262a457268ec0fd56fb7c029f2fc5947b75b7eefea9acdaba

Observation 7a0a9551-253f-4423-b253-a48fe55d1792 · outbound

This paper cites Picard Representation Formula for the Fractional Brownian Motion.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Picard Representation Formula for the Fractional Brownian Motion

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:f8f5f9f3e8b91957431028ed717a5b92e56f3810a1e28148ceb91e2162cc068e

Observation 34fd9dc2-cbb9-4162-8921-aeca22aa9769 · outbound

This paper cites Alpay, D.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Alpay, D

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:54df776ad8d0a94eab362a184c6a92fe0b3d5094bb9c2f7db9c658ccc3f59111

Observation 556a181c-3c99-4cb8-9feb-67b71ff1afbe · outbound

This paper cites an unresolved cited work.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:dfb71cda4930785fcd48d1838e0945809b90e9a135c3c0df33bc2bffac7416c3

Observation d67761f0-2f38-4661-9cb2-dd1c69454594 · outbound

This paper cites Aronszajn, Boundary values of functions with finite Dirichlet integral, Techn.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Aronszajn, Boundary values of functions with finite Dirichlet integral, Techn

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:ef6c4049a6653c4daf63e4061089efbd1f6ae3d3307f437dfe2a071d90b55944

Observation b182f9bf-c42f-4a1d-9222-e374a5fcb178 · outbound

This paper cites Gagliardo, Propriet´ a di alcune classi di funzioni in pi´ u variabili, Ricerche Mat.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Gagliardo, Propriet´ a di alcune classi di funzioni in pi´ u variabili, Ricerche Mat

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:404434abf9b6c6e3972269efb8581b538823570b23964c95a45f121735697676

Observation 492cdfb3-3da4-4c72-8621-c60b065ac45a · outbound

This paper cites A general method of constructing regularizing algorithms for a linear ill-posed equation in Hilbert space.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case A general method of constructing regularizing algorithms for a linear ill-posed equation in Hilbert space

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:f1f04abd94571b711579498dca97721c37472bffe07d3bd85b06b0a801d9b172

Observation 05287cda-83dd-4ae8-a862-3299009e79a8 · outbound

This paper cites an unresolved cited work.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:87c46b48e1a7da47d5ba87b7dcc481f8865fb51d12344c62b9d1f9cf9d1277c6

Observation 468065cd-f9f2-4344-8f3f-3e3c08cf8517 · outbound

This paper cites Regularization Theory.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Regularization Theory

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:0d8e17c374a326f25091d58988300e097b1c5e2e5fe2fb73683fd2c9ce9aa632

Observation ba4bb9ee-4285-4af2-874e-2c1e9ac6f775 · outbound

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

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Balancing principle in supervised learning for a general regularization scheme

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:fb630e703c28708a42e1ffb9dea9c0478af7ecb2749da3a55bcf6bac8677d4b1

Observation e59d900f-661a-45d3-a765-ca99476e8d02 · outbound

This paper cites Geometry of linear ill-posed problems in variable Hilbert scales.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Geometry of linear ill-posed problems in variable Hilbert scales

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:fb6426a7950609c7837ed80d318c80af9196eed8074023c21a9439e884353915

Observation 98e68f1c-c94a-4342-aa20-ac496c86bbe7 · outbound

This paper cites On regularized Radon-Nikodym differentiation.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case On regularized Radon-Nikodym differentiation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:062af7840d44869dff8de3d7bdf8164782fda17e360c9f851ceecddb1cc6ed9a

Observation 318e2866-743d-4ff9-8293-a69daf251b0a · outbound

This paper cites Discretization strategy for ill-posed problems in variable Hilbert scales.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Discretization strategy for ill-posed problems in variable Hilbert scales

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:65948ac7b3cb168521f6b3bbc60dff6bebccfb151a9f7f20cef85e8c62694d19

Observation d1fdcf2c-cd9f-4c11-bc79-24c622050fa4 · outbound

This paper cites S., Solodky S.G.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case S., Solodky S.G

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:cbb084896f83309e606e4147750d8405391946cbe3be4dc0634fcd920357e277

Observation b35a1678-ff73-428b-97e2-fbc9ca51b061 · outbound

This paper cites On the regularization of projection methods for solving ill-posed problems.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case On the regularization of projection methods for solving ill-posed problems

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:5660d0919dc52e9b68fd3f025b8e633f779479b1f652c800a6f8c7940e1257dd

Observation 4ef6e596-dede-4dd0-89cb-11e92b7bea3d · outbound

This paper cites Less is more: Nystr¨ om computational regularization.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Less is more: Nystr¨ om computational regularization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:551f66dd82d732b9ff973f44e41f9142a6058fbeba33cc1c534364e5b86a63d5

Observation 539eb895-6442-4654-910d-2a5213c85ef8 · outbound

This paper cites an unresolved cited work.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:11d0088261783ac1af3fba83dd30de388e8758e5e2c07322e495e4f1db431ef0

Observation 38ea664e-3236-47bc-b206-781fa588961b · outbound

This paper cites An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces, 2022, 152 p.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case An Introduction to Artificial Intelligence Based on Reproducing Kernel Hilbert Spaces, 2022, 152 p

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:204f21dc6dedd89faf707cba506df83ce96062f9c85f8b67e36cc4810d08ed94

Observation fb3f054b-1885-4cdd-ad72-81baf115d44b · outbound

This paper cites M., Veretennikov A.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case M., Veretennikov A

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:2916d56239e974d07a52bd8c301a9c322891022036be7a9c1dda4f84b9aa1235

Observation 2d61da0e-96e9-49ba-b218-2e3eb208e9e9 · outbound

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

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Optimal rates for the regularized least squares algorithm

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:cf792e72773fa8d3e64e747367c2ed5d616510203fbf30faeba19e0b217eeb41

Observation 0444a9d3-801f-4758-a627-dcf5177d55f9 · outbound

This paper cites On recovery the Radon-Nikodym derivative under the big data assumption.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case On recovery the Radon-Nikodym derivative under the big data assumption

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:ee1e6cb5c79f5533215355925edcc70c408968979f69eac5b85567ffa535d543

Observation 936993c8-9471-4366-9234-c1ee90fbdcc3 · outbound

This paper cites L., Solodky, S.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case L., Solodky, S

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:8331082cb17bfbb6137d0d0437ccaa6e67bcaec29a3e1da5e0a4ff0eb982af0f

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

This paper cites Spectral Algorithms in Misspecified Regression: Convergence under Covariate Shift.

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:78a0b67178bdadd38f1264e4992154dfd84c296edc3767269899b95e6996177e

Observation 8eac807a-fa78-4164-abfa-f6552e4fe8c5 · outbound

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

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:998c091bcbf6c9200942694ebe2fd007c7eec4686f39cc27aa3703b794f568fe

Observation c7db36fc-3bd2-488d-a26b-8e5f03d07206 · outbound

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

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case When is Importance Weighting Correction Needed for Covariate Shift Adaptation?

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T10:49:18.800377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:1fe9e7d302531bc27878f7dcd0dde1cc5aea1f28c029dbe9cd37cd4c2885e2b7

Observation 193118e6-5a09-4cb3-ad88-dec6b1e84ff4 · outbound

This paper cites Sobolev Spaces.

Convergence Analysis of Nystr\"om Subsampling in Covariate Shift Adaptation for Misspecified case Sobolev Spaces

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-26T10:46:07.884727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T10:46:07.884727Z digest=sha256:7af901d9335b8076c901411a3d8076916f04a84065342002ffb3cd9616fa842d

Pith citing papers

No inbound Pith citation observations are available.