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Paper Citation Record · LEDGER

Non-asymptotic estimates of the minimal risk in statistical learning

As of 22 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2606.23295.

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

pith.paper-citation-record.v1
2606.23295 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

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measured 52 of 52 standing notices

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Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation 90b4a16f-b71d-4b69-b66a-d24e7a9f8b56 · outbound

This paper cites Adamczak.

Non-asymptotic estimates of the minimal risk in statistical learning Adamczak

Reference 1

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This paper cites Ambrosio, F.

Non-asymptotic estimates of the minimal risk in statistical learning Ambrosio, F

Reference 2

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This paper cites Ajtai, J.

Non-asymptotic estimates of the minimal risk in statistical learning Ajtai, J

Reference 3

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Reference 4

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Reference 5

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Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work

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This paper cites Bolley and C.

Non-asymptotic estimates of the minimal risk in statistical learning Bolley and C

Reference 9

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This paper cites Boucheron, G.

Non-asymptotic estimates of the minimal risk in statistical learning Boucheron, G

Reference 10

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Non-asymptotic estimates of the minimal risk in statistical learning Bousquet

Reference 11

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Non-asymptotic estimates of the minimal risk in statistical learning Bousquet and A

Reference 12

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This paper cites Sharper bounds for uniformly stable algorithms.

Non-asymptotic estimates of the minimal risk in statistical learning Sharper bounds for uniformly stable algorithms

Reference 13

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Non-asymptotic estimates of the minimal risk in statistical learning Djellout, A

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Non-asymptotic estimates of the minimal risk in statistical learning A mathematical perspective of machine learning.International Congress of Mathe- maticians

Reference 16

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Non-asymptotic estimates of the minimal risk in statistical learning Falconer

Reference 18

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Non-asymptotic estimates of the minimal risk in statistical learning Feldman and J

Reference 20

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Non-asymptotic estimates of the minimal risk in statistical learning Feldman and J

Reference 21

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Non-asymptotic estimates of the minimal risk in statistical learning Fournier and A

Reference 22

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Non-asymptotic estimates of the minimal risk in statistical learning Gozlan and C

Reference 24

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Non-asymptotic estimates of the minimal risk in statistical learning Gozlan and C

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Non-asymptotic estimates of the minimal risk in statistical learning Klein and E

Reference 26

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Non-asymptotic estimates of the minimal risk in statistical learning Stability and deviation optimal risk bounds with con- vergence rate O(1/n)

Reference 27

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Non-asymptotic estimates of the minimal risk in statistical learning Koltchinskii

Reference 28

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Non-asymptotic estimates of the minimal risk in statistical learning Koltchinskii

Reference 29

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Non-asymptotic estimates of the minimal risk in statistical learning Ledoux and M

Reference 30

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Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work

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Non-asymptotic estimates of the minimal risk in statistical learning Mendelson

Reference 37

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Non-asymptotic estimates of the minimal risk in statistical learning Spiliopoulos, R

Reference 39

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Non-asymptotic estimates of the minimal risk in statistical learning Talagrand

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Non-asymptotic estimates of the minimal risk in statistical learning Talagrand

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Non-asymptotic estimates of the minimal risk in statistical learning Talagrand

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This paper cites Talagrand.

Non-asymptotic estimates of the minimal risk in statistical learning Talagrand

Reference 43

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Observation 07387c62-39ab-4cc4-a186-b30a13dc85b6 · outbound

This paper cites Talagrand.

Non-asymptotic estimates of the minimal risk in statistical learning Talagrand

Reference 44

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Observation e39f9b29-e2d3-46fd-a226-b281f3777b26 · outbound

This paper cites an unresolved cited work.

Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work

Reference 45

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Observation 7180398f-7426-4646-bfcb-bad15d1addba · outbound

This paper cites an unresolved cited work.

Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work

Reference 46

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This paper cites High-dimensional probability: an introduction with applications in data sci- ence.Cambridge Series in Statistical and Probabilistic Mathematics.

Non-asymptotic estimates of the minimal risk in statistical learning High-dimensional probability: an introduction with applications in data sci- ence.Cambridge Series in Statistical and Probabilistic Mathematics

Reference 47

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Observation 59056c07-ea57-4164-a3d9-0b8e366f62ba · outbound

This paper cites an unresolved cited work.

Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work

Reference 48

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This paper cites an unresolved cited work.

Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work

Reference 49

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This paper cites an unresolved cited work.

Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work

Reference 50

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This paper cites an unresolved cited work.

Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work

Reference 51

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Observation fb7cf77a-24df-4cdf-9762-e9fd06c04d73 · outbound

This paper cites an unresolved cited work.

Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work

Reference 52

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