Paper Citation Record · LEDGER

Tight Generalization Bound for AdaBoost

As of 21 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2607.26838.

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

pith.paper-citation-record.v1
2607.26838 v1

Coverage vector

measured 50 of 50 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-30T19:35:40.341295Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation 77af5445-ebe7-4999-90c8-136ba32fa6ec · outbound

This paper cites The Uniform Hardcore Lemma via Approximate Bregman Projections.

Tight Generalization Bound for AdaBoost The Uniform Hardcore Lemma via Approximate Bregman Projections

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.179689Z

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Observation 42bd7a06-abe1-4772-a20e-b3238d411337 · outbound

This paper cites Boosting the margin: a new explanation for the effectiveness of voting methods.

Tight Generalization Bound for AdaBoost Boosting the margin: a new explanation for the effectiveness of voting methods

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.184131Z

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Observation 224c682c-67cc-497a-b813-fd43c28e86c0 · outbound

This paper cites Agnostic Boosting.

Tight Generalization Bound for AdaBoost Agnostic Boosting

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.187775Z

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Observation be7ac5b6-e74e-47ce-94fe-5acf267e2d3e · outbound

This paper cites Learnability and the Vapnik-Chervonenkis dimension.

Tight Generalization Bound for AdaBoost Learnability and the Vapnik-Chervonenkis dimension

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.191443Z

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Observation 5e1c8029-c98e-433f-b743-088e12ebd83f · outbound

This paper cites Prediction Games and Arcing Algorithms.

Tight Generalization Bound for AdaBoost Prediction Games and Arcing Algorithms

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.194929Z

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Observation 7b609cba-fc4c-43de-b64f-69df69bf8ac1 · outbound

This paper cites Of Dice and Games: A Theory of Generalized Boosting.

Tight Generalization Bound for AdaBoost Of Dice and Games: A Theory of Generalized Boosting

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.198486Z

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Observation 3fc8d322-21cf-4109-8556-a3055a2cb0ee · outbound

This paper cites Online Agnostic Boosting via Regret Minimization.

Tight Generalization Bound for AdaBoost Online Agnostic Boosting via Regret Minimization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.202160Z

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Observation 33f711c3-c2ec-4f44-a1cc-d83b6ee5a8e6 · outbound

This paper cites Multiclass Boosting: Simple and Intuitive Weak Learning Criteria.

Tight Generalization Bound for AdaBoost Multiclass Boosting: Simple and Intuitive Weak Learning Criteria

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.205341Z

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Observation 00a03b2c-e182-4097-86c4-3845dea4aa67 · outbound

This paper cites Boosting With the L2 Loss.

Tight Generalization Bound for AdaBoost Boosting With the L2 Loss

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.208513Z

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Observation fd4b836d-9b21-4b7f-bb47-b626382ece56 · outbound

This paper cites Efficient, Noise-Tolerant, and Private Learning via Boosting.

Tight Generalization Bound for AdaBoost Efficient, Noise-Tolerant, and Private Learning via Boosting

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.211696Z

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Observation ad9ffb72-19c3-47da-895c-f5ef166e925f · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

Tight Generalization Bound for AdaBoost XGBoost: A Scalable Tree Boosting System

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.214824Z

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Observation 2e818575-3a42-428c-b383-7be47ba78e51 · outbound

This paper cites 2026 (cit.

Tight Generalization Bound for AdaBoost 2026 (cit

Reference 12

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Observation 16847b63-9e14-4970-8f54-a07d388bfb06 · outbound

This paper cites Boosting, Voting Classifiers and Randomized Sample Compression Schemes.

Tight Generalization Bound for AdaBoost Boosting, Voting Classifiers and Randomized Sample Compression Schemes

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.221869Z

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Observation 0f324627-a0e7-4e79-8ebc-505fae6b6be6 · outbound

This paper cites Optimal Parallelization of Boosting.

Tight Generalization Bound for AdaBoost Optimal Parallelization of Boosting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.225003Z

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Observation 6aaab1d8-a3da-404d-a0c5-00d8015a6f9f · outbound

This paper cites Revisiting Agnostic Boosting.

Tight Generalization Bound for AdaBoost Revisiting Agnostic Boosting

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.228323Z

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Observation c1800052-c227-4d91-a27d-8d1d9320cc00 · outbound

This paper cites Improving Regressors Using Boosting Techniques.

Tight Generalization Bound for AdaBoost Improving Regressors Using Boosting Techniques

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.231525Z

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Observation 1683b7ab-b45c-4482-b133-e07bfa506ba8 · outbound

This paper cites Boosting Methods for Regression.

Tight Generalization Bound for AdaBoost Boosting Methods for Regression

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.234891Z

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Observation 0e9fe7ef-0bea-4580-9b62-2d309f76aa66 · outbound

This paper cites TabArena: A Living Benchmark for Machine Learning on Tabular Data.

Tight Generalization Bound for AdaBoost TabArena: A Living Benchmark for Machine Learning on Tabular Data

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.238295Z

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Observation 4bb0fb17-480d-477b-9897-880a1db7184e · outbound

This paper cites Distribution-Specific Agnostic Boosting.

Tight Generalization Bound for AdaBoost Distribution-Specific Agnostic Boosting

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.242121Z

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Observation 77b63590-83a5-4982-9001-cb881ceaefb8 · outbound

This paper cites A decision-theoretic generalization of on-line learning and an application to boosting.

Tight Generalization Bound for AdaBoost A decision-theoretic generalization of on-line learning and an application to boosting

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.245529Z

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Observation e0ce2a9a-ce01-4fc8-908b-9df03f1cc576 · outbound

This paper cites Greedy function approximation: A gradient boosting machine.

Tight Generalization Bound for AdaBoost Greedy function approximation: A gradient boosting machine

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.248939Z

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Observation 3e213f97-286f-4f91-afd7-61ba1f4fff47 · outbound

This paper cites On the doubt about margin explanation of boosting.

Tight Generalization Bound for AdaBoost On the doubt about margin explanation of boosting

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.252008Z

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Observation 6741dbee-1bf4-41ec-8a4e-88660fe6acb7 · outbound

This paper cites Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning.

Tight Generalization Bound for AdaBoost Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.255354Z

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Observation 7bd98715-24c4-4c68-8682-c3536667db19 · outbound

This paper cites Sample-Efficient Agnostic Boosting.

Tight Generalization Bound for AdaBoost Sample-Efficient Agnostic Boosting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.258440Z

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Observation 854674e9-545e-425c-a9d1-d0a7b73d7d18 · outbound

This paper cites Sample-Optimal Agnostic Boosting with Unlabeled Data.

Tight Generalization Bound for AdaBoost Sample-Optimal Agnostic Boosting with Unlabeled Data

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.261455Z

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Observation cf0de315-a5c2-4554-be08-1c3090657d5a · outbound

This paper cites Margins are insufficient for explaining gradient boosting.

Tight Generalization Bound for AdaBoost Margins are insufficient for explaining gradient boosting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.265089Z

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Observation 4ae15c1e-7874-467c-b565-8e07af99e537 · outbound

This paper cites Margin- based generalization lower bounds for boosted classifiers.

Tight Generalization Bound for AdaBoost Margin- based generalization lower bounds for boosted classifiers

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.268268Z

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Observation 5af49123-7245-4894-832e-335e35c58928 · outbound

This paper cites AdaBoost is not an Optimal Weak to Strong Learner.

Tight Generalization Bound for AdaBoost AdaBoost is not an Optimal Weak to Strong Learner

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.271388Z

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Observation 5a59466b-8e7e-45e6-a635-2132f89d9e8f · outbound

This paper cites Improved Margin Generalization Bounds for Voting Classifiers.

Tight Generalization Bound for AdaBoost Improved Margin Generalization Bounds for Voting Classifiers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.274671Z

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Observation 19bb9269-9091-45d0-8e0c-b7512e70b07d · outbound

This paper cites Reproducibility in learning.

Tight Generalization Bound for AdaBoost Reproducibility in learning

Reference 30

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Observation 77089cd2-a400-47fc-aca9-6a2c59b68445 · outbound

This paper cites Potential-Based Agnostic Boosting.

Tight Generalization Bound for AdaBoost Potential-Based Agnostic Boosting

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.280591Z

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Observation 8676039c-3cab-49d5-bde2-b8e69883a620 · outbound

This paper cites The Impossibility of Parallelizing Boosting.

Tight Generalization Bound for AdaBoost The Impossibility of Parallelizing Boosting

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.287051Z

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Observation 39d98e62-9576-4214-97fb-30b3cfe3e47a · outbound

This paper cites LightGBM: A Highly Efficient Gradient Boosting Decision Tree.

Tight Generalization Bound for AdaBoost LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.290075Z

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Observation ba43b70e-a670-4b24-8ab2-3231cf7f0ac7 · outbound

This paper cites Cryptographic Limitations on Learning Boolean Formulae and Finite Automata.

Tight Generalization Bound for AdaBoost Cryptographic Limitations on Learning Boolean Formulae and Finite Automata

Reference 34

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Observation 7fdfb6ee-27f3-4def-8e3f-b41923a31e79 · outbound

This paper cites Empirical Margin Distributions and Bounding the Generalization Error of Combined Classifiers.

Tight Generalization Bound for AdaBoost Empirical Margin Distributions and Bounding the Generalization Error of Combined Classifiers

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.296690Z

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Observation 8125052b-c0b9-44f0-9b73-265e9eb6265c · outbound

This paper cites Improved Replicable Boosting with Majority-of-Majorities.

Tight Generalization Bound for AdaBoost Improved Replicable Boosting with Majority-of-Majorities

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.300116Z

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Observation 8a423788-57c9-41bb-94ff-91d240905833 · outbound

This paper cites 2025 (cit.

Tight Generalization Bound for AdaBoost 2025 (cit

Reference 37

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Observation c33d16a2-6f58-4d03-8411-03f9ee2b72f8 · outbound

This paper cites Algorithms and Hardness Results for Parallel Large Margin Learning.

Tight Generalization Bound for AdaBoost Algorithms and Hardness Results for Parallel Large Margin Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.306316Z

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Observation 22652b90-7748-468b-b4ab-3fbf7a76254b · outbound

This paper cites The Cost of Parallelizing Boosting.

Tight Generalization Bound for AdaBoost The Cost of Parallelizing Boosting

Reference 39

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Observation 21861db1-0a10-42c8-88d5-650782932294 · outbound

This paper cites A Theory of Multiclass Boosting.

Tight Generalization Bound for AdaBoost A Theory of Multiclass Boosting

Reference 40

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Observation 4e0a86c4-1e90-4608-a32b-51607dc6f42f · outbound

This paper cites CatBoost: unbiased boosting with categorical features.

Tight Generalization Bound for AdaBoost CatBoost: unbiased boosting with categorical features

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.315682Z

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Observation 3c2bcb03-7b79-4648-8857-45f449e68ab8 · outbound

This paper cites Chaining.

Tight Generalization Bound for AdaBoost Chaining

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.319155Z

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Observation d6495462-cba8-4677-8032-cd2c614d3af3 · outbound

This paper cites The Strength of Weak Learnability (Extended Abstract).

Tight Generalization Bound for AdaBoost The Strength of Weak Learnability (Extended Abstract)

Reference 43

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Observation cb50ec24-3b8c-46d6-a595-92c7daeecba5 · outbound

This paper cites Schapire and Yoav Freund.Boosting: Foundations and Algorithms.

Tight Generalization Bound for AdaBoost Schapire and Yoav Freund.Boosting: Foundations and Algorithms

Reference 44

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Observation 45d7fc47-6b8e-4a63-b3a7-b7117400c25d · outbound

This paper cites Improved boosting algorithms using confidence-rated pre- dictions.

Tight Generalization Bound for AdaBoost Improved boosting algorithms using confidence-rated pre- dictions

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.328460Z

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Observation 6af820f7-ef7c-4c50-bb5d-b22e7830bd6d · outbound

This paper cites Smooth Boosting and Learning with Malicious Noise.

Tight Generalization Bound for AdaBoost Smooth Boosting and Learning with Malicious Noise

Reference 46

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Observation f19a6159-0fc2-4790-b4ce-92768b5bde74 · outbound

This paper cites Optimistic Rates for Learning with a Smooth Loss.

Tight Generalization Bound for AdaBoost Optimistic Rates for Learning with a Smooth Loss

Reference 47

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Observation 04a75352-a130-44d1-9b53-720174798a3b · outbound

This paper cites A Theory of the Learnable.

Tight Generalization Bound for AdaBoost A Theory of the Learnable

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-30T19:35:40.337848Z

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Observation 8c9214d8-d6e9-42aa-850f-6d47e6df8067 · outbound

This paper cites On the uniform convergence of relative frequencies of events to their probabilities.

Tight Generalization Bound for AdaBoost On the uniform convergence of relative frequencies of events to their probabilities

Reference 49

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Observation b65ed83b-96ab-47d9-861c-469ae3e037a0 · outbound

This paper cites an unresolved cited work.

Tight Generalization Bound for AdaBoost Unresolved cited work

Reference 2009

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Pith citing papers

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