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Paper Citation Record · LEDGER

Bagging Robustly Learns VC Classes with Linear Sample Complexity

As of 15 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.

pith.paper-citation-record.v1
2608.13514 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:35:04.304339Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

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  • unresolved23
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External citation measurements

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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

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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

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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

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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

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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

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Source-reported events for the cited work

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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

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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 2026-08-14T06:32:32.682623+00:00.

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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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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Source-reported events for the cited work

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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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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Source-reported events for the cited work

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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

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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

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Source-reported events for the cited work

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Observation 4c936d86-1bc9-490c-8160-a2af0bd0585f · outbound

This paper cites Servedio.

Bagging Robustly Learns VC Classes with Linear Sample Complexity Servedio

Reference 14

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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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f97aac2a-014b-4e73-bb38-7046fe68d43c · outbound

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Bagging Robustly Learns VC Classes with Linear Sample Complexity Unresolved cited work

Reference 16

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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

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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

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Observation 7e48c4dc-9a36-445d-85f5-8972cebfb938 · outbound

This paper cites Veeravalli.

Bagging Robustly Learns VC Classes with Linear Sample Complexity Veeravalli

Reference 19

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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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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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

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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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d2b37fc2-68b1-40fe-8b5e-e1156e894b13 · outbound

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Bagging Robustly Learns VC Classes with Linear Sample Complexity Explaining and Harnessing Adversarial Examples

Reference 28

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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

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Observation 4ddfa066-aba7-43c8-90e0-ec07d595e1d3 · outbound

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Bagging Robustly Learns VC Classes with Linear Sample Complexity Unresolved cited work

Reference 30

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Unavailable: canonical work link unavailable.

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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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

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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.

source=arxiv_source observed=2026-08-14T05:35:04.230814Z digest=sha256:efef0a50108e911baabdf04a590c8e8ce17a33ea05a2a4394d84b45e1aba1a08

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

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

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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

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raw_fallback, observed 2026-08-14T05:35:04.996134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.239687Z digest=sha256:b77fe02c55c12ecc9855622563791c83385ca7445e4834887602f68f16c1f636

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

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unresolved
no resolver link, observed 2026-08-14T05:35:04.242773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:04.242773Z digest=sha256:a384defbd783a2bff269eb7e5de567cf17207b01931e116198560b59d9c7090d

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:35:04.245992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:04.245992Z digest=sha256:47fc3fbc1bc521e4700e3c9393bed978f0f369aa86976250cc5144bbe04041e0

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:35:04.248843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:04.248843Z digest=sha256:4b31e751692534905d5bb4f5a59a21600326d8c013e43ef41552a20ce01dcae9

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
local_arxiv, observed 2026-08-14T05:35:04.589905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.251947Z digest=sha256:50e33e47e48e19245632aac3c59f5d854b8285d4e2f88a8a1097fe60a52dcb76

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
raw_fallback, observed 2026-08-14T05:35:04.981531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.255398Z digest=sha256:2d9deab031a544d82fb15428b6d9e4fb9a93fb40b275bacf34149975c87ac9a8

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
raw_fallback, observed 2026-08-14T05:35:04.971864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.258494Z digest=sha256:c4d1277e17bc4ce8a66ecc1aa443bce787b218dd8d08f381aa8f6f2e17230a73

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.261427Z digest=sha256:76ade62e14514e1374cc672bba20aca8bab809eddb744134167d7998210873c5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.264426Z digest=sha256:87feeed0a5773c43ffbe97499c557c252225eed89dfe446794dc878c5ea49595

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.267426Z digest=sha256:7c2701e12e35eccf3cad3fb7c418aa9344af24e2e4d72816282a6f0a4501f94a

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
no resolver link, observed 2026-08-14T05:35:04.270495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:04.270495Z digest=sha256:c73c15c293730575ef53436acc9a943009ed3d5eacd97064f96946d7550a6e02

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.273546Z digest=sha256:257ff1ea6393efda1e2e04fe9db0c6c75fda9eee281f2fd9ac896372ae9c175f

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.

source=arxiv_source observed=2026-08-14T05:35:04.276630Z digest=sha256:21cf3e8ec40dc3d6e0f0188f920f2801c1640fc7c68ccad9b2ae12a3684f3124

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
no resolver link, observed 2026-08-14T05:35:04.280445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:04.280445Z digest=sha256:1685b8fe4e0af281f693a796bd5409e5e54ee0a9fe773898f1c57aaf84b62a52

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:35:04.283591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:04.283591Z digest=sha256:a10e9e1ceda2174f115ad27ddfbb4ccb14bdfc6bf36dd9655c089bad65236fb9

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.286681Z digest=sha256:751e12f87b142fee228811b03cc7a0518e90f7f2999026ee34661d2ea5226c10

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

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unresolved
no resolver link, observed 2026-08-14T05:35:04.289699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:04.289699Z digest=sha256:886572178c3ca1645d3ae6771c37ecdde45349696780a7980d5eb4fbdbf35e4b

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

Resolution
unresolved
no resolver link, observed 2026-08-14T05:35:04.292842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:35:04.292842Z digest=sha256:1e02d3fd8b9f7ec4b9a1017f49c8ca0f7eb8401cba36c05a31bf5dbbe674cf8a

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.

source=arxiv_source observed=2026-08-14T05:35:04.295728Z digest=sha256:917e550b1470379f66f4623c3f4d6dbef0367275cda12deea1b6838fb6705ee0

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.298580Z digest=sha256:eeb4514fbc1b1fe2de5bb123fd0c1bcb8b7cb06f54a763860941a955a85ffe6b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.301448Z digest=sha256:9065f25b3250edc2b2520d90be74e9f28216aebfb8d50cd060f58c4fbf2e8bb4

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.304339Z digest=sha256:94f5ba0f9d64c2d0cd4f59ba5201d910f28a0e8d1b55701c6f87da1eeff7ad8e

Pith citing papers

No inbound Pith citation observations are available.