Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:43.538288Z
Paper Citation Record · LEDGER
Pointwise confidence estimation in the non-linear $\ell^2$-regularized least squares
As of 20 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T17:43:49.052341Z
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
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.
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 2026-08-20T06:33:59.587034+00:00.