Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T09:08:35.037018Z
Paper Citation Record · LEDGER
As of 13 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-26T09:08:35.037018Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
52 of 52 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 90b4a16f-b71d-4b69-b66a-d24e7a9f8b56 · outbound
Non-asymptotic estimates of the minimal risk in statistical learning Adamczak
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Non-asymptotic estimates of the minimal risk in statistical learning Ambrosio, F
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Non-asymptotic estimates of the minimal risk in statistical learning Ajtai, J
Reference 3
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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 Unresolved cited work
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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 Unresolved cited work
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Non-asymptotic estimates of the minimal risk in statistical learning Bolley and C
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Non-asymptotic estimates of the minimal risk in statistical learning Boucheron, G
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Non-asymptotic estimates of the minimal risk in statistical learning Bousquet
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Non-asymptotic estimates of the minimal risk in statistical learning Bousquet and A
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Non-asymptotic estimates of the minimal risk in statistical learning Sharper bounds for uniformly stable algorithms
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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 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
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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 Falconer
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Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work
Reference 19
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Observation 7b1fa7e5-9837-4bec-adb8-0d2d5c31aa43 · outbound
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 Unresolved cited work
Reference 23
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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 Gozlan and C
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Non-asymptotic estimates of the minimal risk in statistical learning Klein and E
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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
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Non-asymptotic estimates of the minimal risk in statistical learning Koltchinskii
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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
Reference 31
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Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work
Reference 32
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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 Unresolved cited work
Reference 34
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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 Unresolved cited work
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Non-asymptotic estimates of the minimal risk in statistical learning Mendelson
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Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work
Reference 38
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Non-asymptotic estimates of the minimal risk in statistical learning Spiliopoulos, R
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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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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 Unresolved cited work
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Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work
Reference 46
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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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Non-asymptotic estimates of the minimal risk in statistical learning Unresolved cited work
Reference 48
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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 Unresolved cited work
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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 Unresolved cited work
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