Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:22:53.121791Z
Paper Citation Record · LEDGER
The Sample Complexity of Parameter-Free Stochastic Convex Optimization
As of 8 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T10:25:20.703566Z
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
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- unresolved9
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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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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
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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.
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
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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.
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
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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
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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 2026-08-08T06:32:00.761636+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
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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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
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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
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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.
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.