Pith. sign in

Paper Citation Record · LEDGER

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2506.07088.

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

pith.paper-citation-record.v1
2506.07088 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:43.538288Z

measured 44 of 44 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 2026-06-27T17:43:49.052341Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:57:28.100834Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e808972-1afa-4617-b884-468850b60361 · outbound

This paper cites Adapting the linearised laplace model evidence for modern deep learning.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Adapting the linearised laplace model evidence for modern deep learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:55.187807Z

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.

source=arxiv_source observed=2026-08-07T05:53:37.051357Z digest=sha256:aa9d33796338d55d31ce8cad661797da76b57a376845ebd840e6ab233eadc615

Observation c5c36f58-6bc8-4b30-8d7d-bdc2a87551f2 · outbound

This paper cites Model-based reinforcement learning with value-targeted regression.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Model-based reinforcement learning with value-targeted regression

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:54.757070Z

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.

source=arxiv_source observed=2026-08-07T05:53:37.156005Z digest=sha256:68087044cd9b4bd757d702b9540ec8b7fee6b69f80259a5a86f92cae7948e954

Observation cd8572d4-d147-41b5-871e-32a1a7039de7 · outbound

This paper cites Weight uncertainty in neural network.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Weight uncertainty in neural network

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:54.376133Z

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.

source=arxiv_source observed=2026-08-07T05:53:37.304120Z digest=sha256:5380d55493e1e0019b3a60c0ad9754a805218e598775daea9925f5b072601bc0

Observation b40f629b-a2fc-4e7d-aa9c-59154b572334 · outbound

This paper cites Concentration inequalities using the entropy method.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Concentration inequalities using the entropy method

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:37.488154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:53:37.488154Z digest=sha256:3e18d8918cc4d49ba6005496c0a129479f45ed11251b55810436da768e145fa8

Observation 30468c94-9049-490c-8f1f-a6a466eff185 · outbound

This paper cites Concentration inequalities: A nonasymptotic theory of independence.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Concentration inequalities: A nonasymptotic theory of independence

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:54.123761Z

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.

source=arxiv_source observed=2026-08-07T05:53:37.607877Z digest=sha256:a1858807d0e64e588f691724e0359d6f6fbc4da411c336452eb28ae028a84a54

Observation cdf0272c-b2a9-41db-8009-d6b3b088d8a2 · outbound

This paper cites On kernelized multi-armed bandits.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares On kernelized multi-armed bandits

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:53.775662Z

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.

source=arxiv_source observed=2026-08-07T05:53:37.691745Z digest=sha256:7c60fe52f2306f30933f7e089603c137c2faaf00c03f907df8dad8ffd92f88e6

Observation b89efdf9-bfc6-403d-a5ce-f1947ce2d63a · outbound

This paper cites Distribution-free uncertainty quantification for kernel methods by gradient perturbations.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Distribution-free uncertainty quantification for kernel methods by gradient perturbations

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:53.409361Z

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.

source=arxiv_source observed=2026-08-07T05:53:37.789479Z digest=sha256:e4b917d286a29273f9255226234dff8c3c854e92cd249fc37d59e30da8b97d2b

Observation 4364bee4-339f-46a3-b7ad-7161628b2b1c · outbound

This paper cites A simple convergence proof of adam and adagrad.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares A simple convergence proof of adam and adagrad

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:53.025119Z

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.

source=arxiv_source observed=2026-08-07T05:53:37.888006Z digest=sha256:ffd710b59af59481a728fea23ee17264c56e406d865aeb4987eab136b82a5346

Observation 00a9c5a5-0269-4baa-9a77-e5fc40e38b60 · outbound

This paper cites Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:38.007671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:53:38.007671Z digest=sha256:1a4e5571cff987e784811eaada83fe3ffca7721820632fc6e07ab9a729f9f394

Observation 37bf3ecb-e1c1-44fe-baa2-e357fb5a8b44 · outbound

This paper cites An introduction to the bootstrap.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares An introduction to the bootstrap

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:52.775887Z

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.

source=arxiv_source observed=2026-08-07T05:53:38.136526Z digest=sha256:e9f88b9157f5e93fea070178474f5160370f67948d18ef23dc22f7d92536601b

Observation eb22d87b-b0cd-41d5-a3fb-65557737adbc · outbound

This paper cites 'In-Between' Uncertainty in Bayesian Neural Networks.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares 'In-Between' Uncertainty in Bayesian Neural Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:38.241601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:53:38.241601Z digest=sha256:5e43cb674ab735f16775404caf296546efee2d142b4e2025f78e9c9ca975ff28

Observation cd1ced8a-fc54-47c1-95bf-25b9484abd67 · outbound

This paper cites Practical contextual bandits with regression oracles.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Practical contextual bandits with regression oracles

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:52.399990Z

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.

source=arxiv_source observed=2026-08-07T05:53:38.377205Z digest=sha256:72faf0b9439f80a94adc91057f4321d3d18bf9d3d66e9d282c84cf80a470c83c

Observation 4e79126b-96f7-4bc6-bdff-47d9568b6d74 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:52.047149Z

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.

source=arxiv_source observed=2026-08-07T05:53:38.535169Z digest=sha256:3eca2fda64e61fa08ffb77364f7bbb47864ef6a2c4043754a043881e9eb5fb1d

Observation 5f1d2ad2-d13a-44e4-a547-3a8b4763e06d · outbound

This paper cites Stochastic first- and zeroth-order methods for nonconvex stochastic programming.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Stochastic first- and zeroth-order methods for nonconvex stochastic programming

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:51.657919Z

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.

source=arxiv_source observed=2026-08-07T05:53:38.652630Z digest=sha256:86905e5982c45f02d6649287f8309bcac6a77dfe5a2f6b3ef808641a440212b4

Observation 814079c2-286c-452b-84ef-60ae7a08ce8e · outbound

This paper cites A distribution-free theory of nonparametric regression.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares A distribution-free theory of nonparametric regression

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:51.307027Z

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.

source=arxiv_source observed=2026-08-07T05:53:38.837260Z digest=sha256:01c6528b61c8cc1cc2eb5ab74753ec8a1d145415540ee40e6f4f3601835ad4fa

Observation f3faaae1-6637-4957-83fa-e748c2048c58 · outbound

This paper cites Inequalities on the lambert w function and hyperpower function.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Inequalities on the lambert w function and hyperpower function

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:50.922752Z

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.

source=arxiv_source observed=2026-08-07T05:53:38.910981Z digest=sha256:15479529a2fc09c6128b998fbd4116368c8c5bb6f123ad7d2b7f1d8957b28c9a

Observation 901595f2-c56a-4f5f-b1a6-93398eda5bfb · outbound

This paper cites Improving predictions of bayesian neural nets via local linearization.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Improving predictions of bayesian neural nets via local linearization

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:50.536357Z

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.

source=arxiv_source observed=2026-08-07T05:53:38.953554Z digest=sha256:c5d8fc53d7d966f5c78b9e65e92bd56799eafa10a0902642c9aca6b66ebe0450

Observation 39cb8d42-81ff-4aa3-af5c-485630153d0b · outbound

This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Neural tangent kernel: Convergence and generalization in neural networks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:39.078471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:53:39.078471Z digest=sha256:790d781d4cb9d7d6528256a697471c6a814b35846a95e41ad0c362da9e9d0efa

Observation 65c36eba-1aa1-4148-92f9-931f6be078db · outbound

This paper cites Online sub-sampling for reinforcement learning with general function approximation.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Online sub-sampling for reinforcement learning with general function approximation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:50.192607Z

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.

source=arxiv_source observed=2026-08-07T05:53:39.247150Z digest=sha256:c9bc5f6d550cde7101fcd305437dc67ee73e410e0530f1b0d79530c5307eb55c

Observation 28160ee3-e9db-4e6a-ba73-3af260786d3e · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:49.887238Z

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.

source=arxiv_source observed=2026-08-07T05:53:39.440410Z digest=sha256:6847889df2e08bc3212f99554bd438ec74e61e20946cb2fe368e92bd73532131

Observation 6a4479e6-f10a-42b3-aa34-74e3efcdd62d · outbound

This paper cites A lower bound for linear and kernel regression with adaptive covariates.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares A lower bound for linear and kernel regression with adaptive covariates

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:49.537995Z

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.

source=arxiv_source observed=2026-08-07T05:53:39.591463Z digest=sha256:3dbf6e60ad16451cd64b803adf4b5a41c80de1662354db5f36aa507fd4caf3b2

Observation 3443976b-9518-4aab-ad68-66d785793bb9 · outbound

This paper cites Bandit algorithms.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Bandit algorithms

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:39.843192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:53:39.843192Z digest=sha256:ae742e50a4c22803845b4f095928d7b851779b0cf18316e6c5ad36a93a9ae82c

Observation 99dabf04-9dd4-44ae-a06c-af0d80424dbd · outbound

This paper cites Convergence of adam under relaxed assumptions.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Convergence of adam under relaxed assumptions

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:49.189284Z

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.

source=arxiv_source observed=2026-08-07T05:53:40.010544Z digest=sha256:510748b76252acb4aa8a762e3c67dd323413c4f0f7c5fb46982ad11ce19c7a80

Observation f8ad7157-af41-44f8-bd14-193c5b276ec5 · outbound

This paper cites Decoupled weight decay regularization.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Decoupled weight decay regularization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:40.213905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:53:40.213905Z digest=sha256:adec88f8d8ddc27a4e89f09c4a3f2baa058dcb0bf09f6ddf22bdfd04e875d6bf

Observation 59f06c6f-e740-4d96-8513-f9a4afc828c1 · outbound

This paper cites Bayesian Methods for Adaptive Models.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Bayesian Methods for Adaptive Models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:48.886516Z

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.

source=arxiv_source observed=2026-08-07T05:53:40.415252Z digest=sha256:27f1ada1c6619fe2364c68a562d0adf4dbd76172428eb192c0704ff2842fd009

Observation a4b8395b-a7db-471c-885e-4522c228da7d · outbound

This paper cites Stochastic gradient markov chain monte carlo.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Stochastic gradient markov chain monte carlo

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:48.506638Z

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.

source=arxiv_source observed=2026-08-07T05:53:40.578334Z digest=sha256:a57461eefa5af1478fd4bdb207f1cb82188f733f1620e9bc4e50d4af27f888c0

Observation 605debaf-1744-486a-b6de-a2002d1e8bc7 · outbound

This paper cites Deep exploration via bootstrapped dqn.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Deep exploration via bootstrapped dqn

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:48.105830Z

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.

source=arxiv_source observed=2026-08-07T05:53:40.726458Z digest=sha256:75941677d60085b4c0c75c9e9affe38c93ec3496836bb7d6123107e4bc648c21

Observation 3d6a028c-8757-46bd-86e2-10b4cf66c5ae · outbound

This paper cites Randomized prior functions for deep reinforcement learning.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Randomized prior functions for deep reinforcement learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:47.757036Z

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.

source=arxiv_source observed=2026-08-07T05:53:40.870133Z digest=sha256:866e4ddcc28281e9edee7a786fba75365583f9851d9c9412205a81965bb28f71

Observation 26816c2b-0dcf-4933-a3b8-f0fb686efa03 · outbound

This paper cites Epistemic neural networks.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Epistemic neural networks

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:47.456365Z

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.

source=arxiv_source observed=2026-08-07T05:53:41.080350Z digest=sha256:1ce3c0662a6e6e53ed741d8f580ea7e4e6cebcaf8643ca5f962e9963e13f325c

Observation d2a988b5-fb68-41f6-9779-d21313b2dcd1 · outbound

This paper cites Fast exact multiplication by the hessian.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Fast exact multiplication by the hessian

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:41.294180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:53:41.294180Z digest=sha256:6cb67b27dc692b56413701ecd6124dd574f0813ccde4a041c4fb354cee92ea96

Observation 54a8ec51-ddae-4f4b-9ace-0ef1e214efef · outbound

This paper cites Probabilistic methods in the geometry of banach spaces.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Probabilistic methods in the geometry of banach spaces

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:47.165436Z

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.

source=arxiv_source observed=2026-08-07T05:53:41.457118Z digest=sha256:d30297ba4f5d0e4ff7cc96a0bf8b37352f72f25aaba54cd5e97e57d64a9ac309

Observation 317b82e9-76de-40b5-82f1-102121fe7204 · outbound

This paper cites an unresolved cited work.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:53:46.715267Z

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.

source=arxiv_source observed=2026-08-07T05:53:41.635886Z digest=sha256:2d086228cdcbb5c2b6117e6c7bd38582bcc0de08718bf7fca451fa184ff1988e

Observation 9a775719-2bae-46fd-bb64-d376f05806e9 · outbound

This paper cites Learning to optimize via posterior sampling.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Learning to optimize via posterior sampling

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:46.389269Z

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.

source=arxiv_source observed=2026-08-07T05:53:41.820824Z digest=sha256:24dbc8f8af6e024bdb3ba4ef4d9f4ba6d72c23431e669e2f78c128a926d315b9

Observation 1fbaa5e6-99ec-4e3d-9632-14bd4e9b32a4 · outbound

This paper cites Understanding machine learning: From theory to algorithms.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Understanding machine learning: From theory to algorithms

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:42.054819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:53:42.054819Z digest=sha256:070188556253d44f585ba2d332234afcce47b19a31884902ff3a33931b72c8cc

Observation 78e22285-7746-4eb7-be0d-b552e80b53d1 · outbound

This paper cites Mathematical statistics.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Mathematical statistics

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:45.943208Z

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.

source=arxiv_source observed=2026-08-07T05:53:42.206589Z digest=sha256:f4d82f63a4231a4a62463a2fea7d38ba412008704b23f686a034140a658ff47a

Observation e11cef2f-c43c-464b-9b0e-206658712710 · outbound

This paper cites Gaussian process optimization in the bandit setting: no regret and experimental design.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Gaussian process optimization in the bandit setting: no regret and experimental design

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:45.596062Z

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.

source=arxiv_source observed=2026-08-07T05:53:42.393114Z digest=sha256:4dd7a4fe0f5d1eacd004977a5b719949403391b95f917dadc3cb35ccf31a1bfe

Observation 6feb02f6-8f44-424d-8b4a-4c2b4a7f2ccf · outbound

This paper cites An introduction to matrix concentration inequalities.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares An introduction to matrix concentration inequalities

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:42.552799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:53:42.552799Z digest=sha256:336f6ef45accb508adbc880cd6465f0f5df2c0056a938ce652232f4f344e4d94

Observation 14030c39-7a98-4ddb-babd-886cb1ddd3b8 · outbound

This paper cites Asymptotic statistics, volume 3.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Asymptotic statistics, volume 3

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:45.230707Z

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.

source=arxiv_source observed=2026-08-07T05:53:42.757173Z digest=sha256:25e65b8d60f469b64f2632440233c8427f92ed1021fa0ce2a685af81925da2be

Observation b7a8d635-f02f-4e2f-b104-487dffc9b5fc · outbound

This paper cites High-dimensional statistics: A non-asymptotic viewpoint, volume 48.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares High-dimensional statistics: A non-asymptotic viewpoint, volume 48

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T05:53:42.918082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:53:42.918082Z digest=sha256:60967b378a67cac486411d0da1ecf35015d68e2960da35ec8eb47ab4370ca88e

Observation a7b6978b-020f-42ad-aaeb-551e37f78334 · outbound

This paper cites All of statistics: a concise course in statistical inference, volume 26.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares All of statistics: a concise course in statistical inference, volume 26

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:44.933044Z

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.

source=arxiv_source observed=2026-08-07T05:53:43.059872Z digest=sha256:9c4400d8125eb392e0adc3c0b7053230ab4ea7a9dbfd28a99806ee3ea013665c

Observation 7fe754e8-ed93-4038-8297-ee994f429d20 · outbound

This paper cites A decision-theoretic approach to interval estimation.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares A decision-theoretic approach to interval estimation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:44.580909Z

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.

source=arxiv_source observed=2026-08-07T05:53:43.198076Z digest=sha256:d3d4ee6962d654a94ba67267942bdf6e2ee37e3028e62df0b0764a2f67f9d720

Observation f1067ef8-3787-420f-a0a8-a0582bb3061d · outbound

This paper cites Online Learning for Linearly Parametrized Control Problems.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Online Learning for Linearly Parametrized Control Problems

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:44.215991Z

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.

source=arxiv_source observed=2026-08-07T05:53:43.338692Z digest=sha256:aab3a2a21db2de6a0f1038db52421cf6c04a15f7705243869ae70d81d662241d

Observation 740b7d8c-06a1-4e68-a5e4-b34b074fdee5 · outbound

This paper cites Towards understanding convergence and generalization of adamw.

Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares Towards understanding convergence and generalization of adamw

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:53:43.840174Z

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.

source=arxiv_source observed=2026-08-07T05:53:43.538288Z digest=sha256:1e73d2c249a945338d965195b82d8d26aceae6c60f77b037fc60c0cb5d1c315c

Pith citing papers

Observation d2fed142-fb32-44b5-963d-e64e114bbb8c · inbound

Generalization in Nonlinear Least Squares via Learned Feature Geometry cites this paper.

Generalization in Nonlinear Least Squares via Learned Feature Geometry Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:57:28.102410Z

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.

source=pdf_text observed=2026-06-27T17:43:49.052341Z digest=sha256:09591d53611c9122fe5fba31b2809735a504389eb680742042f76f5c0213d580