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Paper Citation Record · LEDGER

Bagging Robustly Learns VC Classes with Linear Sample Complexity

As of 17 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 2026-08-17T06:30:58.91139+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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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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

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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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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

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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Source-reported events for the cited work

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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

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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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Unavailable: canonical work link unavailable.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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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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 2026-08-17T06:30:58.91139+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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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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

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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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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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:ccdaf33fc2a17ef6aec9eef7c8096cba8199376a3409a548f6c6f78b1528bb24

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.239687Z digest=sha256:69731e4a82efdfea1cdd3e06483bfdab2456ad9cd30a954356e894bfcd388333

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:b64f03c81c0e4b8ce1e62cea9431005c6044aa14a69c6e4a91d944084957ca89

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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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:e4004497a9d8c1ffdbe431f1af1d241f28e4a2eb2d75b6e8e4b077cd83fd31d8

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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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=sha256:7be0034805090e7cdf1a5b4511ebf38df292a6597eef95eb11b60ff293cab738

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.251947Z digest=sha256:41374ceaacdb59bb53808cbc5b423a9370588827dd66f98bddfbf09fe1465d45

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.255398Z digest=sha256:161020cf67fac609d8c8b59bae30e0d339c80d5d68c9e7bc265bf076dc29256a

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.258494Z digest=sha256:6eb47b16cf1d66aa316d034933567932c856b0a75481578aaad8e341d435c706

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.261427Z digest=sha256:9dd0d53a8f68a67dab929a2dcaf3075574f6d74e4a727bdf6ff50e11caaa05b0

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.264426Z digest=sha256:e131ac0111d976f7afd5efb851c8b03ee90bd7a77e1babbf4366b5fe2e30414b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.267426Z digest=sha256:96c47a04a04afc850db958da0f3764b94bfa90735f8c5c09275f8b083c93099b

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

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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=sha256:3971c21539eead43799a6a8fe218cee61ef1004c6732a444ca491be08775bbe1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.273546Z digest=sha256:2e0670f43780a5ee8a4cbd70c8ce25103a5b1f4a787182e5ff5dc625317471a4

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

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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=sha256:572dc283e45d2f6bf7444b808ec329472e2f23a85bf4954c74fe6609d926643a

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=sha256:6dde76221eb00a895d7d8d66f6d8e6ac782be9f977feb2a05bd7e16deb07c386

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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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:d9b26db9debd384a11e143f3d43316d4c93c5712c8a24386992f97b606e6f327

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.286681Z digest=sha256:00f484e0783e5d7015c58656c7029750bf3b3451bb3c3c9107fd7d7e68baf5d5

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=sha256:99fd41212f0c259f1f32cabdc8118d54a0627d9ff53a468a48247d65a1b7c47f

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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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=sha256:4b906b869bd90aad5b23485c0dca5a8d6325a170d00a4e690ff2ec81db471d6e

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=sha256:445de226e98495e90cecf81e5add21bd1be428c44a783f71f214f6535c5cce6b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.298580Z digest=sha256:8ad7e4a86a0177ff0666316d89327c8b35e6c7d97bca94346b510166d4c308c1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.301448Z digest=sha256:17834dac36a6f0243ad7c3d596f6f6375cfd4d32784265f98624b47cb54fa687

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-14T05:35:04.304339Z digest=sha256:62a273f60350318d731eb1d1cb25a8135067c0aa2b57909622cf11eeaa02bb2f

Pith citing papers

No inbound Pith citation observations are available.