Paper Citation Record · LEDGER

The Sample Complexity of Parameter-Free Stochastic Convex Optimization

As of 7 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 1 inbound Pith citation observation for arXiv:2506.11336.

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

pith.paper-citation-record.v1
2506.11336 v2

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:22:53.121791Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:25:20.703566Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T09:09:43.452646Z

Reference resolution

59 of 59 outbound references displayed

verified exact1
verified fuzzy49
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be244e73-ce9e-4f9a-8c5d-8cc925259ceb · outbound

This paper cites Information-theoretic lower bounds on the oracle complexity of stochastic convex opti- mization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Information-theoretic lower bounds on the oracle complexity of stochastic convex opti- mization

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:54.120100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa54ef7b-e6ef-410d-9b7d-7d2338b44d59 · outbound

This paper cites Characterizing subdifferential of norm, 2023.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Characterizing subdifferential of norm, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:54.105683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 542fb9ac-3663-4009-ae02-386f60e8e101 · outbound

This paper cites How free is parameter-free stochastic optimization? In International Conference on Machine Learning (ICML) , 2024.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization How free is parameter-free stochastic optimization? In International Conference on Machine Learning (ICML) , 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:54.090603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a6020f4e-16e2-4167-af72-05b682c6b4d5 · outbound

This paper cites Mirror descent and nonlinear projected subgradient methods for convex optimization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Mirror descent and nonlinear projected subgradient methods for convex optimization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:54.075627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df752033-b7d9-49f9-b076-b2d9fa25f262 · outbound

This paper cites Probability inequalities for the sum of independent random variables.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Probability inequalities for the sum of independent random variables

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:54.060637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49b26fe6-3db9-41f9-a5f1-d37c9024d8de · outbound

This paper cites The ladder: A reliable leaderboard for machine learn- ing competitions.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization The ladder: A reliable leaderboard for machine learn- ing competitions

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:54.045165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 25cd8f3c-2bd3-408e-930d-33bdb9f2e4e3 · outbound

This paper cites Sharper bounds for uni- formly stable algorithms.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Sharper bounds for uni- formly stable algorithms

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:54.027945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 838f143e-384f-484a-a1be-544b1212d45c · outbound

This paper cites Olshen, and Charles J.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Olshen, and Charles J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:54.014360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 376c10de-5f98-4f57-ac40-f3eb22f8743c · outbound

This paper cites Making SGD parameter-free.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Making SGD parameter-free

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:54.000394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac42d13c-460c-4527-8cac-9fc6b9947820 · outbound

This paper cites The Price of Adaptivity in Stochastic Convex Optimization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization The Price of Adaptivity in Stochastic Convex Optimization

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:22:53.368384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 006282cc-93aa-4e23-a204-2bb23b9ea969 · outbound

This paper cites Better parameter-free stochastic optimization with ODE updates for coin-betting.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Better parameter-free stochastic optimization with ODE updates for coin-betting

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.986733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 420dd763-a0d1-4bfb-baa3-51cd0915dac8 · outbound

This paper cites Artificial constraints and hints for unbounded online learning.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Artificial constraints and hints for unbounded online learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.971811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86f8ac88-0792-46f8-a66c-92261ca22c8e · outbound

This paper cites Black-box reductions for parameter-free online learning in banach spaces.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Black-box reductions for parameter-free online learning in banach spaces

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.957533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81543762-ac59-4fe8-9eb9-14d5a187e74e · outbound

This paper cites Learning-rate-free learning by D- adaptation.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Learning-rate-free learning by D- adaptation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.944082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe772f4e-e17e-4658-9d96-d87e49f6a33f · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.930066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d3911f59-7614-4265-8f53-1e8c84aec01e · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Adaptive subgradient methods for online learning and stochastic optimization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.915523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40f576e1-ac7d-4471-a867-db6b24445338 · outbound

This paper cites Data filtering networks.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Data filtering networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.900393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60bde1bc-eb81-4a74-82bd-d172e4170347 · outbound

This paper cites A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:52.051694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65fb7dfd-737f-4d02-8e7d-22636f303e3a · outbound

This paper cites The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.881693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51733f5b-00bb-4f25-8ec4-4352d6b1f01d · outbound

This paper cites Beyond the regret minimization barrier: optimal al- gorithms for stochastic strongly-convex optimization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Beyond the regret minimization barrier: optimal al- gorithms for stochastic strongly-convex optimization

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.864211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76574844-7dce-4cc3-a493-98a8f6201332 · outbound

This paper cites Probability inequalities for sums of bounded random variables.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Probability inequalities for sums of bounded random variables

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.847932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a1fd5ed-9966-4f16-bf30-11413cecc273 · outbound

This paper cites Time-uniform chernoff bounds via nonnegative supermartingales.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Time-uniform chernoff bounds via nonnegative supermartingales

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.833257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a3d0bdd-f371-4aa3-bd4c-329ff95845bb · outbound

This paper cites Pushing the limits of simple pipelines for few-shot learning: External data and fine-tuning make a difference.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Pushing the limits of simple pipelines for few-shot learning: External data and fine-tuning make a difference

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.816354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8cf5c46-ea1c-4816-8eaf-0ef3c34f4294 · outbound

This paper cites an unresolved cited work.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:52.919904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd5385b2-8b3f-405a-b5dd-b6fb82a85c49 · outbound

This paper cites Openclip, July 2021.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Openclip, July 2021

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:52.982450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fdf6703-76bd-4026-b689-ae437373ebbe · outbound

This paper cites DoG is SGD’s best friend: A parameter-free dynamic step size schedule.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization DoG is SGD’s best friend: A parameter-free dynamic step size schedule

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.800336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14b9f9c7-591e-4ff9-ab00-0cad79202753 · outbound

This paper cites Scaling Laws for Neural Language Models.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Scaling Laws for Neural Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:52.990964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ad41e8b-0d52-4a76-821d-df34fc609825 · outbound

This paper cites Algorithmic stability and sanity-check bounds for leave- one-out cross-validation.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Algorithmic stability and sanity-check bounds for leave- one-out cross-validation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.783442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a7c3ec8f-fe67-407a-bd7f-1af2a242d18c · outbound

This paper cites Adaptive scale- invariant online algorithms for learning linear models.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Adaptive scale- invariant online algorithms for learning linear models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.768856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 200a28bc-de72-4815-ae13-371d23c970c1 · outbound

This paper cites Tuning-free stochastic optimization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Tuning-free stochastic optimization

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.754547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76b9b8f8-7fb0-4a35-a72a-e7dad13814db · outbound

This paper cites On the upper bound for the absolute constant in the berry–esseen inequality.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization On the upper bound for the absolute constant in the berry–esseen inequality

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.738363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b333938e-dd4c-43bb-841e-4c63eb6a4c71 · outbound

This paper cites Accelerated parameter-free stochastic optimization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Accelerated parameter-free stochastic optimization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.723510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c1d3b01-7089-4790-ba84-450a3a890c42 · outbound

This paper cites Learning multiple layers of features from tiny images.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Learning multiple layers of features from tiny images

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:53.016863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e11b013-0042-4d1a-8544-9d6384abd5b4 · outbound

This paper cites Necessary and sufficient geometries for gradient meth- ods.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Necessary and sufficient geometries for gradient meth- ods

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.696966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eef8ef2e-a2c4-48ac-ae41-78c8fec7b8f9 · outbound

This paper cites Martingale methods for sequential estimation of convex functionals and divergences.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Martingale methods for sequential estimation of convex functionals and divergences

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.678493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bdaebf94-3882-4306-9f90-1ddb3fd52137 · outbound

This paper cites Empirical Bernstein bounds and sample variance penalization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Empirical Bernstein bounds and sample variance penalization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.663580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a783177-cbbd-4a31-b693-912bcdaba0ad · outbound

This paper cites pandas: a foundational python library for data analysis and statistics.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization pandas: a foundational python library for data analysis and statistics

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.649734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6cb43d48-f7c5-412f-9211-08d388f970a9 · outbound

This paper cites Unconstrained online linear learning in Hilbert spaces: Minimax algorithms and normal approximations.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Unconstrained online linear learning in Hilbert spaces: Minimax algorithms and normal approximations

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.635271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea8f70a3-cea5-4016-9dac-6eeee69effdc · outbound

This paper cites Adaptive bound optimization for online convex optimization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Adaptive bound optimization for online convex optimization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.621508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b0e7401-2879-4f19-85c6-b19b53f0d4f6 · outbound

This paper cites The effect of natural distribution shift on question answering models.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization The effect of natural distribution shift on question answering models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.607096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cb1427ac-b498-4411-b564-40f1b759ff8c · outbound

This paper cites Proximity and duality in a hilbertian space.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Proximity and duality in a hilbertian space

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.593776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 326b3384-c657-43a9-8976-81977d043708 · outbound

This paper cites word2number, 2014.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization word2number, 2014

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.580562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bef51c10-fdc4-45f4-84e9-503a1da5ce41 · outbound

This paper cites Problem complexity and method efficiency in optimization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Problem complexity and method efficiency in optimization

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.566650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 739a5f00-f398-41bc-9fdb-6603e0a8da1f · outbound

This paper cites Online Learning: A Modern Introduction Using Convex Optimization.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Online Learning: A Modern Introduction Using Convex Optimization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:53.061986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfdd2e0a-e7cc-453a-912c-d7fea1b039f9 · outbound

This paper cites Training deep networks without learning rates through coin betting.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Training deep networks without learning rates through coin betting

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.552996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation efbb2e34-d006-415b-9ae2-e446626d46cf · outbound

This paper cites Py- Torch: An imperative style, high-performance deep learning library.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Py- Torch: An imperative style, high-performance deep learning library

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.539617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26d63249-140d-434a-b6d7-83cf39b3364b · outbound

This paper cites Learning transferable visual models from natural language supervision.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Learning transferable visual models from natural language supervision

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.525302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e370265-71dd-48e8-bee7-406caad03635 · outbound

This paper cites Do imagenet classifiers generalize to imagenet? In International conference on machine learning , pages 5389–5400.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Do imagenet classifiers generalize to imagenet? In International conference on machine learning , pages 5389–5400

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.510971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9766970a-fd96-4c1f-84ca-4069a3d5972c · outbound

This paper cites A meta-analysis of overfitting in machine learning.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization A meta-analysis of overfitting in machine learning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.497288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ebc237fe-3ce4-4fab-afa0-625457c7affc · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:53.085499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 547f8ec2-9113-4e75-bd3f-889f386d5587 · outbound

This paper cites An overview of statistical learning theory.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization An overview of statistical learning theory

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.483610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7426c32e-7b2a-479f-b40f-d5c7feff80a1 · outbound

This paper cites Welcome to the tidyverse.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Welcome to the tidyverse

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:53.093597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 038b1f82-33d0-496e-9d60-6121dc78f58b · outbound

This paper cites Cold case: The lost MNIST digits.Advances in neural information processing systems, 32, 2019.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Cold case: The lost MNIST digits.Advances in neural information processing systems, 32, 2019

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.469443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f907157-283d-46c6-9bbf-a8b0a75d0fad · outbound

This paper cites [22] withYt = 1 n Pt i=1(Vi −ν), ct = H/n, Ψ(·) = ∥·∥ 2, D = 1, m = H 2/n, x = p (m/2) ln 2/δ, we get that with probability 1 − δ that ∥ ¯V − ν∥2 ≤ H r 2 ln(2/δ) n.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization [22] withYt = 1 n Pt i=1(Vi −ν), ct = H/n, Ψ(·) = ∥·∥ 2, D = 1, m = H 2/n, x = p (m/2) ln 2/δ, we get that with probability 1 − δ that ∥ ¯V − ν∥2 ≤ H r 2 ln(2/δ) n

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.455494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d655b602-a4e6-4311-a408-822035ad6523 · outbound

This paper cites an unresolved cited work.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T04:22:53.439959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e92eb466-8189-471c-b4d2-5294dd0df805 · outbound

This paper cites 37 Figure 4: A sample of images, generated by the outlined process, that were presented to Gemini showcasing all 15 backgrounds.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization 37 Figure 4: A sample of images, generated by the outlined process, that were presented to Gemini showcasing all 15 backgrounds

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.426084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be4bf44f-f005-44e9-bc2b-09372edce7a6 · outbound

This paper cites } and within square brackets [.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization } and within square brackets [

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.411462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5899d529-9f04-4523-b8c5-8d9b1e73c069 · outbound

This paper cites The first successful conversion is returned, or 0 otherwise.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization The first successful conversion is returned, or 0 otherwise

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.396891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe5ee6a9-a055-47ec-aa0e-104dec3148c0 · outbound

This paper cites 3 circles, 2 squares, 1 star.

The Sample Complexity of Parameter-Free Stochastic Convex Optimization 3 circles, 2 squares, 1 star

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:22:53.382216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 9d8e736e-3b35-41d0-b764-977d2ff37d19 · inbound

Clipping the Price of Adaptivity at the Tail cites this paper.

Clipping the Price of Adaptivity at the Tail The Sample Complexity of Parameter-Free Stochastic Convex Optimization

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:09:43.454234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.