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Paper Citation Record · LEDGER

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise

As of 17 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2501.11127.

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

pith.paper-citation-record.v1
2501.11127 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:47:31.420221Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

25 of 25 outbound references displayed

  • verified exact5
  • verified fuzzy14
  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a00f95a-69ab-4989-ae06-726ff8e79999 · outbound

This paper cites Stochastic convex optimization with bandit feedback.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Stochastic convex optimization with bandit feedback

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:32.115062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation fa6a41ef-97d9-4200-8702-20aee9e4ab17 · outbound

This paper cites Matrix Analysis, volume 169.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Matrix Analysis, volume 169

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:32.097558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T18:47:31.294344Z digest=sha256:87bdea02251ab020f8ff4a19c728aafc7ab9e8e9c41b0534ca1da7e88b7df6f9

Observation 5505b29e-1e18-473f-bd25-90ca380f67cd · outbound

This paper cites Exploratory distributions for convex functions.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Exploratory distributions for convex functions

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:32.080197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a2510bda-8ca8-4b6e-aaba-d1981e75b24b · outbound

This paper cites Bandit convex optimization: T regret in one dimension.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Bandit convex optimization: T regret in one dimension

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:32.063446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T18:47:31.306154Z digest=sha256:4ec3df96d1515b49ee1f8bd70aa34d4ec7b34cb9ab3e57bd381083d2885200b3

Observation 3b5793e5-e3d5-4ec6-9916-0a8809aa5155 · outbound

This paper cites Kernel-based methods for bandit convex optimization.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Kernel-based methods for bandit convex optimization

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:32.045863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T18:47:31.311602Z digest=sha256:6a808a930bb8da8b56e0d641e94f0864a7d1eaec9c1e80a3098a0cd68606539c

Observation 5159e7bc-289f-4612-8a16-1b368aee52f0 · outbound

This paper cites About stein's estimators: the original result and extensions.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise About stein's estimators: the original result and extensions

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:32.028263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5e9734ec-48ed-48d5-8d5e-de713fc865bd · outbound

This paper cites Error bounds, quadratic growth, and linear convergence of proximal methods.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Error bounds, quadratic growth, and linear convergence of proximal methods

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:32.010653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T18:47:31.323073Z digest=sha256:b0af6c229d793477560396e653fcc578ebcc0e0ff424ca5cc32507b2134a8a21

Observation 5eb49211-f413-43c3-8ed1-b79f42cd8410 · outbound

This paper cites Online convex optimization in the bandit setting: Gradient descent without a gradient.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Online convex optimization in the bandit setting: Gradient descent without a gradient

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:31.994347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 53530536-c536-4b3a-a37f-aeebea89a7b5 · outbound

This paper cites Online Newton Method for Bandit Convex Optimisation.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Online Newton Method for Bandit Convex Optimisation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T18:47:31.333738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:47:31.333738Z digest=sha256:e51591d068615fd290837170664fe44e9c30ec2b48b2d21f0e5869615590d2ef

Observation d86d558b-3698-46da-bc32-6e6cd5b78e84 · outbound

This paper cites Bandit convex optimization: Towards tight bounds.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Bandit convex optimization: Towards tight bounds

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:31.976490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f2a88bc0-c309-4072-b628-496f951923a4 · outbound

This paper cites Logarithmic regret algorithms for online convex optimization.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Logarithmic regret algorithms for online convex optimization

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:31.958529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dedcc0ab-677a-4733-9d11-1a8ac8e65ff1 · outbound

This paper cites Multiplicative noise and heavy tails in stochastic optimization.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Multiplicative noise and heavy tails in stochastic optimization

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T18:47:31.350576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:47:31.350576Z digest=sha256:e59c55b1a043a480f15057a76d6cd00980beebaaf337bb8d3bc932ce041e70e1

Observation ad548936-48bd-48a8-9420-2dfab850e12f · outbound

This paper cites Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-\L{}ojasiewicz Condition.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-\L{}ojasiewicz Condition

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:47:31.826698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4f4402e2-6d30-4d1b-9249-f4fe2b2a67c1 · outbound

This paper cites Nearly tight bounds for the continuum-armed bandit problem.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Nearly tight bounds for the continuum-armed bandit problem

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:31.941785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T18:47:31.362249Z digest=sha256:961ecf89c24dc369272e90b63dbd040281ed14c5223facc8dd7a9c31684699e6

Observation 1d0de14b-1be7-4e75-8b87-d522312a4893 · outbound

This paper cites Improved regret for zeroth-order adversarial bandit convex optimisation.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Improved regret for zeroth-order adversarial bandit convex optimisation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:31.925550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T18:47:31.367316Z digest=sha256:7d7249efaa92d0111284701d341accf3cd9dfecb818f1f558a481d75a8992682

Observation d548b7e9-3419-4c44-8fb8-8c51cf0b491e · outbound

This paper cites Bandit convex optimisation, 2024.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Bandit convex optimisation, 2024

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T18:47:31.372518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:47:31.372518Z digest=sha256:23dd62c51ea81b00e2b002f5c6a038735b90d1f84fda388df8f8720200be955f

Observation ad5bd9f5-a82a-4eb8-8d71-1813b79cb9f6 · outbound

This paper cites Improved regret for zeroth-order stochastic convex bandits.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Improved regret for zeroth-order stochastic convex bandits

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:31.909683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T18:47:31.378215Z digest=sha256:386eba71ad8515bc9449f65a220c5e9d6cca39c5d81833095a3272ea4462cfa3

Observation 0c97228c-7b08-4716-8d38-7f6b1c2933a0 · outbound

This paper cites A Second-Order Method for Stochastic Bandit Convex Optimisation.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise A Second-Order Method for Stochastic Bandit Convex Optimisation

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:47:31.731469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T18:47:31.383279Z digest=sha256:822d083f8792993070d65b5375f037bdf5b291afbd3f9b8f8e822fa39bd0f6dd

Observation f47c4bf1-bb2c-497b-814e-40f55a81cd50 · outbound

This paper cites Adaptive estimation of a quadratic functional by model selection.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Adaptive estimation of a quadratic functional by model selection

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T18:47:31.389011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:47:31.389011Z digest=sha256:9b30a764e1ae86e49c7c471226d0696bcbf00d15220d3bc90d07a7c6497e62c6

Observation a7a992e5-2b93-448e-8c08-ae741c4b6eb9 · outbound

This paper cites Linear bandits with polylogarithmic minimax regret.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Linear bandits with polylogarithmic minimax regret

Reference 20

Resolution
verified exact
raw_fallback, observed 2026-08-10T18:47:31.614518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e220e9d8-a5d3-48d7-9683-06a9b2debaa4 · outbound

This paper cites Multi-armed quantum bandits: Exploration versus exploitation when learning properties of quantum states.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Multi-armed quantum bandits: Exploration versus exploitation when learning properties of quantum states

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T18:47:31.400109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:47:31.400109Z digest=sha256:6b18c78a022f2c5c921095d6f6249eb1500b50597c1ca15544e46ace9123a493

Observation 2eea8380-015a-4695-b841-62cf49fc84c7 · outbound

This paper cites Online Convex Optimization with a Separation Oracle.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Online Convex Optimization with a Separation Oracle

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:47:31.509662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T18:47:31.405199Z digest=sha256:c7d1905d9a495e153c8d3610620d77ed6e998642260fcbdf498c835b0c0b5ce3

Observation 8e0913a0-9527-486c-8853-329798f627c2 · outbound

This paper cites Estimation of the mean of a multivariate normal distribution.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Estimation of the mean of a multivariate normal distribution

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:47:31.892544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T18:47:31.410206Z digest=sha256:ac7899b087c7f4d1a5200acaac5aed4a486b70506c093f40de8167389c3ce977

Observation 37c8e916-9fbb-46fa-9878-5ccd7f3f634d · outbound

This paper cites Second Order Methods for Bandit Optimization and Control.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Second Order Methods for Bandit Optimization and Control

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:47:31.481964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-10T18:47:31.415052Z digest=sha256:e550a7a17c0819f551ba0ecc2216d6b20904295c22577278a0220039964ca53b

Observation 6823c170-cbc8-4b6c-af68-25f99a92c1cb · outbound

This paper cites High-dimensional probability: An introduction with applications in data science, volume 47.

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise High-dimensional probability: An introduction with applications in data science, volume 47

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T18:47:31.420221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:47:31.420221Z digest=sha256:ec4ce86db74a376440031dce072252c3b2a31cf726b058e42ecb5c7d689bf402

Pith citing papers

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