Paper Citation Record · LEDGER

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation

As of 13 July 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2604.25021.

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

pith.paper-citation-record.v1
2604.25021 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T04:06:33.060399Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-13T06:30:06.624239+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

31 of 31 outbound references displayed

verified exact10
verified fuzzy20
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c6fc091-3467-4854-8c06-fe985c661d40 · outbound

This paper cites Abramowitz and I.A.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Abramowitz and I.A

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.983836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 2417ebb7-8311-434d-b565-61fb0e5bb91a · outbound

This paper cites Agranovich.Sobolev Spaces, Their Generalizations, and Elliptic Problems in Smooth and Lipschitz Domains.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Agranovich.Sobolev Spaces, Their Generalizations, and Elliptic Problems in Smooth and Lipschitz Domains

Reference 2

Resolution: verified exact; doi, observed 2026-05-09T00:14:26.629482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 1b563e38-3e1b-49a2-bcb6-17f695ff4f4e · outbound

This paper cites Relative loss bounds for on-line density estimation with the exponential family of distributions.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Relative loss bounds for on-line density estimation with the exponential family of distributions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.993206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation ad8e88b7-408d-45d2-87fa-7cff98911ded · outbound

This paper cites Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:51:22.962687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 7171ddbe-9008-493c-a5d4-f535b82993a4 · outbound

This paper cites Optimal Dynamic Regret in Exp-Concave Online Learning.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Optimal Dynamic Regret in Exp-Concave Online Learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:04.000862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation f7a035f0-6141-404d-b411-915da5b5de6d · outbound

This paper cites Explicit Approximations of the Gaussian Kernel.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Explicit Approximations of the Gaussian Kernel

Reference 6

Resolution: verified exact; doi, observed 2026-05-09T00:14:26.494184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 970d85d6-ac4f-48df-abfe-ee5f52263a63 · outbound

This paper cites Cucker and D.-X.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Cucker and D.-X

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.997313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation f3ea4ba1-d165-49a3-8921-d6319c2e0bbc · outbound

This paper cites A Chaining Algorithm for Online Nonparametric Regression.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation A Chaining Algorithm for Online Nonparametric Regression

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.987898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation f94bf751-1c28-4576-84f4-b5f9b26a61a6 · outbound

This paper cites On-Line Prediction with Kernels and the Complex- ity Approximation Principle.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation On-Line Prediction with Kernels and the Complex- ity Approximation Principle

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:04.004633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation af62d400-02a6-4665-96d0-1aa95ae43ea1 · outbound

This paper cites Online linear regression in dynamic environments via discounting.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Online linear regression in dynamic environments via discounting

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.955647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation ddbfe3eb-1d83-41e9-af89-d6e24c970c1e · outbound

This paper cites Efficient online learning with kernels for adversarial large scale problems.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Efficient online learning with kernels for adversarial large scale problems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.943605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 50e58176-c59e-4453-adf0-98c6775e1f46 · outbound

This paper cites Gaussian Processes and Reproducing Kernels: Connections and Equivalences.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Gaussian Processes and Reproducing Kernels: Connections and Equivalences

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-09T00:14:26.618518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 68cb8bf8-0389-4b55-b293-d4b38ca411f3 · outbound

This paper cites Random Feature Maps for Dot Product Kernels.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Random Feature Maps for Dot Product Kernels

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.972498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 8506c010-2bc8-4eaa-93e7-31cbd3fd376c · outbound

This paper cites Eigenvalues of Analytic Kernels.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Eigenvalues of Analytic Kernels

Reference 14

Resolution: verified exact; doi, observed 2026-05-09T00:14:26.472866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 856dec94-9b47-4275-97ab-af13c43c2e4e · outbound

This paper cites Merris.Combinatorics.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Merris.Combinatorics

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.939360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation b29f17c4-193d-4038-8b58-dfea3084cf6f · outbound

This paper cites Sobolev Bounds on Functions with Scattered Zeros, with Applications to Radial Basis Function Surface Fitting.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Sobolev Bounds on Functions with Scattered Zeros, with Applications to Radial Basis Function Surface Fitting

Reference 16

Resolution: verified exact; doi, observed 2026-05-09T00:14:26.502104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation d910277b-be2d-4df2-9463-1e0697ace3b7 · outbound

This paper cites Paulsen and M.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Paulsen and M

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.959660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation e2ae2fd9-63fa-4057-93f0-2246e3967f4a · outbound

This paper cites Online non-parametric regression.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Online non-parametric regression

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.947284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation d8b0b1d4-74c5-4011-986c-74637c8edbfb · outbound

This paper cites A hierarchical Vovk-Azoury-Warmuth forecaster with discounting for online regression in RKHS.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation A hierarchical Vovk-Azoury-Warmuth forecaster with discounting for online regression in RKHS

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-09T00:14:26.645077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 1e5b0c1f-f298-42fe-ae42-a176315c804e · outbound

This paper cites Ensembling discounted VAW experts with the VAW meta- learner.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Ensembling discounted VAW experts with the VAW meta- learner

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.951571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 00925aeb-8558-4bc9-826c-e43f93a419d1 · outbound

This paper cites Approximation of eigenfunctions in kernel-based spaces.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Approximation of eigenfunctions in kernel-based spaces

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.980289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation dadaef73-9f65-4b95-852c-5d741afca039 · outbound

This paper cites Approximation by Positive Definite Kernels.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Approximation by Positive Definite Kernels

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.976262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 9cfe0242-d757-433b-8e3d-6c64147350bd · outbound

This paper cites Positive Definite Functions on Spheres.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Positive Definite Functions on Spheres

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.932140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 35107750-607d-4e49-a8e3-c700232ba6b4 · outbound

This paper cites Stein.Interpolation of Spatial Data: Some Theory for Kriging.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Stein.Interpolation of Spatial Data: Some Theory for Kriging

Reference 24

Resolution: malformed identifier; raw_fallback, observed 2026-05-26T21:23:03.935692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation c56aac11-c44e-4fa9-9156-2481504cef98 · outbound

This paper cites Steinwart and A.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Steinwart and A

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.928336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 128b2905-590c-4c09-9488-9c66839aab06 · outbound

This paper cites On the speed of uniform convergence in Mercer’s theorem.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation On the speed of uniform convergence in Mercer’s theorem

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-09T00:14:26.487409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 4474e66b-06c4-4e99-aeb6-1d23085312f8 · outbound

This paper cites Vershynin.High-Dimensional Probability: An Introduction with Applications in Data Science.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Vershynin.High-Dimensional Probability: An Introduction with Applications in Data Science

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.968152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation 7e4c9450-47f4-4196-9170-0b8e1ff0e8f7 · outbound

This paper cites Competitive on-line statistics.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Competitive on-line statistics

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-09T00:14:26.481737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation df0a43f7-518c-46d8-a60c-7994a5e720a1 · outbound

This paper cites On-line regression competitive with reproducing kernel Hilbert spaces.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation On-line regression competitive with reproducing kernel Hilbert spaces

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.963515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation dcc25f57-57ce-4bed-8951-99c75d707986 · outbound

This paper cites Trading-Off Static and Dynamic Regret in Online Least- Squares and Beyond.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Trading-Off Static and Dynamic Regret in Online Least- Squares and Beyond

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T21:23:03.924397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Observation dfc65a1c-42a0-4d13-b9fa-ec0dc5ae4669 · outbound

This paper cites Online nonparametric regression with Sobolev kernels.

Dynamic Regret for Online Regression in RKHS via Discounted VAW and Subspace Approximation Online nonparametric regression with Sobolev kernels

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:51:22.953102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-13T06:30:06.624239+00:00.

Pith citing papers

No inbound Pith citation observations are available.