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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 2026-08-15T06:32:42.880941+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

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

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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

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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

Unavailable: canonical work link unavailable.

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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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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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.

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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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Source-reported events for the cited work

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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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no resolver link, observed 2026-08-14T05:35:04.177931Z

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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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+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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Unavailable: canonical work link unavailable.

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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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Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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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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Source-reported events for the cited work

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.227613Z digest=sha256:0c20bdcc968362dda79c7a3ce664f4cd9c1c019058bb88d2a3074dee9eed645f

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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unresolved
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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=sha256:3b4efd48cffa8cbc26a1a8345b80b1f3490c6605bc118c193210cd6f70103380

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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raw_fallback, observed 2026-08-14T05:35:05.014666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.233865Z digest=sha256:dd4184e20a50d47147d587ab6338da20f2e2365412c2b8492c52d9e975e07b3c

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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raw_fallback, observed 2026-08-14T05:35:05.005639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.236784Z digest=sha256:67b651ba6086e67141bef6ebe6d1bba14deae5576bb0885c177e5f1b7c0d9c14

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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verified fuzzy
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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.239687Z digest=sha256:c9ac5e55f21062a17a5440c98db1e7431cfc7e51a6a1377c77465a433eb19ae2

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=sha256:89da21e12edf366a040d0a1108e622fac159a1ca3efd61a22b01394ed03a1575

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=sha256:9bdf714b876b71648190f052a499318a335e057865c457d8c32f49c4945e0f61

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=sha256:792091cf945ef7bef82b99a42deaee04b898f0967110fd94419a0fe05b083d6f

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.251947Z digest=sha256:e9bdfbf7f2bc5a91ac8cd8a1f435e915299b2480f9905ed4d7862b69033a07ed

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.255398Z digest=sha256:78a09341c631e6694b445fedc7ca4c543cc5188132100ead0aecde58aa386e69

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.258494Z digest=sha256:01c66926a5cc7b48bb845eb1f5147cbb1c17dd8897e4d12d2246d7a2af3b4737

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.261427Z digest=sha256:310550c98a5e5814ba391c4526b5dfdac652ec40bec2f9e1137f4d2837a639b4

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.264426Z digest=sha256:4115ff577bbd388f4df1749d71e97ff7a8b1945ffff18006360aeef5d1b4bd04

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.267426Z digest=sha256:010dbe50438e7414fe1383e7b3717a8b07743495ac2665fc05d111b140c6420b

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:a55cef18a86b8f3fa0333d09a40bf9b37b0a88626d354ebd4c8bb81134d6af50

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.273546Z digest=sha256:cb04e463d41600b1f48d8d34d09be0971351f551ac5c09c709f4856a1ad29e90

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=sha256:57c05c6c04d0078100a0789d6c716af1921a1c13ecdea3540afe6ed95eee5a26

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:e2d7b5f2c7fd65931d56c0136bf3353184f2231965d7a89891bf8f3f3af94194

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:d878f2ed8e0e924b87c78cc9bf17d1258bcb8674e2952e97cab667383e8c63cd

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.286681Z digest=sha256:4e22d87e11f604a3fd42195a08c4052abd1a7032090a57d62022c079f6b7b7ea

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=sha256:868ad58e9cd4adcd50d2d85d7fe92efae970758fd77c38eed453e702ead77ff7

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=sha256:8835df5f506aeabfa34acda754be609368382b006be446694e2b00e1801659e3

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=sha256:619fb65801d6faa95cb48810f88cb8cab0662c0f2cdd2e8d61fe8a7d2f7b9d82

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.298580Z digest=sha256:51552049e03d4ea8195d1893b8bf744e58487e513ed9f92c314863e9ea8302a6

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.301448Z digest=sha256:808bdd256cea7c47ea92aaca4ac52b0cb6b3933b91c17ffa2a7b6f3391ed6ea0

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.304339Z digest=sha256:e740b097f1696621bfc15ed1e5a727292762512b772a49b20f9cf3532d7a9e28

Pith citing papers

No inbound Pith citation observations are available.