Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:35:04.304339Z
Paper Citation Record · LEDGER
Bagging Robustly Learns VC Classes with Linear Sample Complexity
As of 20 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2608.13514.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
58 of 58 outbound references displayed
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- verified fuzzy31
- unresolved23
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 77f76c05-2643-474a-9ee0-752c9907d9f7 · outbound
This paper cites Optimal PAC bounds without uniform convergence.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Optimal PAC bounds without uniform convergence
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 141f6dbe-714e-4f64-84d4-743191a30be5 · outbound
This paper cites Majority-of-three: The simplest optimal learner? In The Thirty Seventh Annual Conference on Learning Theory, volume 247 of Proceedings of Machine Learning Research, pages 22--45.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Majority-of-three: The simplest optimal learner? In The Thirty Seventh Annual Conference on Learning Theory, volume 247 of Proceedings of Machine Learning Research, pages 22--45
Reference 2
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Observation dfba2e3b-40ee-478f-aef3-bc92c650567f · outbound
This paper cites an unresolved cited work.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Unresolved cited work
Reference 3
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Observation 815c60db-e6d3-4f84-8f9e-bb68bf98e6e6 · outbound
This paper cites an unresolved cited work.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Unresolved cited work
Reference 4
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Observation 7ebe25ac-32a3-443c-869d-d212984451dd · outbound
This paper cites Adversarially robust learning with tolerance.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Adversarially robust learning with tolerance
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 39f325ba-6d67-430a-b5ec-1ada5708f46c · outbound
This paper cites Simplifying adversarially robust PAC learning with tolerance.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Simplifying adversarially robust PAC learning with tolerance
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f3d1254b-ea36-4c2a-8aee-f283f253b8ee · outbound
This paper cites Densit \'e et dimension.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Densit \'e et dimension
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a663e969-5024-4296-84c8-82c6261fbf1d · outbound
This paper cites Adversarially robust PAC learnability of real-valued functions.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Adversarially robust PAC learnability of real-valued functions
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation eb6baeb8-625b-467a-acb0-edf0994a2744 · outbound
This paper cites A characterization of semi-supervised adversarially robust PAC learnability.
Bagging Robustly Learns VC Classes with Linear Sample Complexity A characterization of semi-supervised adversarially robust PAC learnability
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 130a9ebe-f55c-49a6-b5fa-792c7dbbad9b · outbound
This paper cites Improved generalization bounds for adversarially robust learning.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Improved generalization bounds for adversarially robust learning
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fab73e35-8590-44a1-8de7-83fe710ed48d · outbound
This paper cites Robustly-reliable learners under poisoning attacks.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Robustly-reliable learners under poisoning attacks
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cbf9478c-5a3e-45e9-a87c-acc9b1d32507 · outbound
This paper cites Robust empirical risk minimization with tolerance.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Robust empirical risk minimization with tolerance
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1403fe42-2f17-4d8c-933d-a8fb2d17e4d9 · outbound
This paper cites Evasion attacks against machine learning at test time.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Evasion attacks against machine learning at test time
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c936d86-1bc9-490c-8160-a2af0bd0585f · outbound
This paper cites Servedio.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Servedio
Reference 14
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 69e1468d-0c68-447c-8cf1-7a8ef7cd7b44 · outbound
This paper cites Robust learning under clean-label attack.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Robust learning under clean-label attack
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f97aac2a-014b-4e73-bb38-7046fe68d43c · outbound
This paper cites an unresolved cited work.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Unresolved cited work
Reference 16
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 640d50e8-3a1d-4fa8-b197-a4353daaf075 · outbound
This paper cites Bagging predictors.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Bagging predictors
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95e48cfd-da34-4dd9-8cd5-9d756fd48dfd · outbound
This paper cites Bshouty, Nadav Eiron, and Eyal Kushilevitz.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Bshouty, Nadav Eiron, and Eyal Kushilevitz
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e48c4dc-9a36-445d-85f5-8972cebfb938 · outbound
This paper cites Veeravalli.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Veeravalli
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ca8c530-92b0-49bd-99d8-7ac84a24bd68 · outbound
This paper cites Adversarial examples from computational constraints.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Adversarial examples from computational constraints
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0f18ee73-a252-44f5-960d-01016c50fb92 · outbound
This paper cites Duchi, and Percy Liang.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Duchi, and Percy Liang
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b8f902d1-aeec-4466-9857-d617cbacea81 · outbound
This paper cites Zico Kolter.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Zico Kolter
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6103f661-d379-4489-8d13-cf1954ab2512 · outbound
This paper cites Pac-learning in the presence of adversaries.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Pac-learning in the presence of adversaries
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2ac7d5e6-6e1c-4dd6-887c-3be3cffcfc07 · outbound
This paper cites Reliable abstention under adversarial injections: Tight lower bounds and new upper bounds.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Reliable abstention under adversarial injections: Tight lower bounds and new upper bounds
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04f81dda-6d94-4a15-9156-00a7a3c2ba00 · outbound
This paper cites Kearns, and Leslie G.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Kearns, and Leslie G
Reference 25
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 951f4e56-fab2-4204-b7a3-4962ebb4536e · outbound
This paper cites Adversarial resilience in sequential prediction via abstention.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Adversarial resilience in sequential prediction via abstention
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6e60dda5-dc99-4718-bd60-aabec11268f0 · outbound
This paper cites Beyond perturbations: Learning guarantees with arbitrary adversarial test examples.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Beyond perturbations: Learning guarantees with arbitrary adversarial test examples
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:05.052079Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d2b37fc2-68b1-40fe-8b5e-e1156e894b13 · outbound
This paper cites Explaining and Harnessing Adversarial Examples.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Explaining and Harnessing Adversarial Examples
Reference 28
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- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69bcb749-3ae6-41de-82f7-20d842034d8a · outbound
This paper cites On optimal learning under targeted data poisoning.
Bagging Robustly Learns VC Classes with Linear Sample Complexity On optimal learning under targeted data poisoning
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4ddfa066-aba7-43c8-90e0-ec07d595e1d3 · outbound
This paper cites an unresolved cited work.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Unresolved cited work
Reference 30
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e802bd55-29e2-42c9-bc38-c2f89f02df3a · outbound
This paper cites Efficient learning with arbitrary covariate shift.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Efficient learning with arbitrary covariate shift
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0e491870-0499-4618-8ef3-877ea88c4aa7 · outbound
This paper cites Reliable agnostic learning.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Reliable agnostic learning
Reference 32
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- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 73388ab2-36d2-453d-9fd3-80c0cf8d42fa · outbound
This paper cites The impossibility of parallelizing boosting.
Bagging Robustly Learns VC Classes with Linear Sample Complexity The impossibility of parallelizing boosting
Reference 33
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6b8ac873-3bb8-4875-9e44-5b4da14b6d07 · outbound
This paper cites Kearns and Ming Li.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Kearns and Ming Li
Reference 34
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b681f07-9e33-471a-88ed-99c5ac0806f6 · outbound
This paper cites Klivans, Konstantinos Stavropoulos, and Arsen Vasilyan.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Klivans, Konstantinos Stavropoulos, and Arsen Vasilyan
Reference 35
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c339b1dd-e2ce-4266-8956-e907bf57afbb · outbound
This paper cites Bagging is an optimal PAC learner.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Bagging is an optimal PAC learner
Reference 36
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c03c2e17-c0f2-4574-9607-2cf4123dd93b · outbound
This paper cites Learning with monotone adversarial corruptions.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Learning with monotone adversarial corruptions
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1efc4ecf-3e5a-4215-b87f-d8a883fa893a · outbound
This paper cites Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b722a074-c067-4179-84f1-ee32e2e60941 · outbound
This paper cites Madiman and Prasad Tetali.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Madiman and Prasad Tetali
Reference 39
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Unavailable: canonical work link unavailable.
Observation a8516cdd-0e6a-4d32-8d3b-6be60cb53d9b · outbound
This paper cites Towards deep learning models resistant to adversarial attacks.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Towards deep learning models resistant to adversarial attacks
Reference 40
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e0fcc7d-6ac6-44cc-beed-a60ad7cfa42d · outbound
This paper cites Optimal Rates for Learning with Monotone Adversaries.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Optimal Rates for Learning with Monotone Adversaries
Reference 41
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6f4ac2c6-080f-4e0d-a757-b7d96e46d4a9 · outbound
This paper cites VC classes are adversarially robustly learnable, but only improperly.
Bagging Robustly Learns VC Classes with Linear Sample Complexity VC classes are adversarially robustly learnable, but only improperly
Reference 42
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 69176b2c-38ad-4b3c-a152-5e565d4fd116 · outbound
This paper cites Efficiently learning adversarially robust halfspaces with noise.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Efficiently learning adversarially robust halfspaces with noise
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c34f6027-d285-414c-a0d0-e3a3da6fef2f · outbound
This paper cites Reducing adversarially robust learning to non-robust PAC learning.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Reducing adversarially robust learning to non-robust PAC learning
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:04.962761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d419afcd-e4d0-48bf-9be1-c6090e0f03dd · outbound
This paper cites Adversarially robust learning with unknown perturbation sets.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Adversarially robust learning with unknown perturbation sets
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:04.953728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dd585263-0da9-4e91-9a1c-5fb4e2f3e12d · outbound
This paper cites Adversarially robust learning: A generic minimax optimal learner and characterization.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Adversarially robust learning: A generic minimax optimal learner and characterization
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:04.944239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 09fbb631-0fbe-44bd-adab-aece55a8c865 · outbound
This paper cites Sample compression schemes for VC classes.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Sample compression schemes for VC classes
Reference 47
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fb726ff-dada-462e-8fe7-ba4093020e19 · outbound
This paper cites Klivans, Konstantinos Stavropoulos, and Arsen Vasilyan.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Klivans, Konstantinos Stavropoulos, and Arsen Vasilyan
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:04.934419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 10e8659c-6705-403c-8b8f-8d16eadc224d · outbound
This paper cites Majority-of-Three is Optimal.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Majority-of-Three is Optimal
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:35:04.276630Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c9d2101-52cb-47ee-9953-101ae4f7dae3 · outbound
This paper cites How much does your data exploration overfit? controlling bias via information usage.
Bagging Robustly Learns VC Classes with Linear Sample Complexity How much does your data exploration overfit? controlling bias via information usage
Reference 50
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7647782-309f-4107-9eb2-ab0b4bc6f6b6 · outbound
This paper cites Schapire and Yoav Freund.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Schapire and Yoav Freund
Reference 51
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7e0ca09-7be2-4c5b-a6a7-f682cbe7ccb0 · outbound
This paper cites Adversarially robust generalization requires more data.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Adversarially robust generalization requires more data
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:04.924912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8c492632-482d-4fca-9451-4bc304b42bfc · outbound
This paper cites Intriguing properties of neural networks.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Intriguing properties of neural networks
Reference 53
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfdbe42a-495b-4086-bf41-fd4566032455 · outbound
This paper cites an unresolved cited work.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Unresolved cited work
Reference 54
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e224468-9540-4e0d-9f54-af9b22eb7ea5 · outbound
This paper cites an unresolved cited work.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Unresolved cited work
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:35:04.295728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77eab221-5077-45ef-9dd5-b1b7db285ad0 · outbound
This paper cites Bartlett.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Bartlett
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:04.915933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f7c115d8-d34d-431c-8aa3-d3eaabc038d0 · outbound
This paper cites Distribution-free sequential prediction with abstentions.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Distribution-free sequential prediction with abstentions
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:04.906566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4a57c43c-60ac-4348-983e-f67b53f25d1a · outbound
This paper cites Xing, Laurent El Ghaoui, and Michael I.
Bagging Robustly Learns VC Classes with Linear Sample Complexity Xing, Laurent El Ghaoui, and Michael I
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:35:04.897168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.