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Paper Citation Record · LEDGER

A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data

As of 12 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.09779.

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

pith.paper-citation-record.v1
2412.09779 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:58:07.911469Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

38 of 38 outbound references displayed

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  • verified fuzzy11
  • unresolved27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db5c8fc2-a9cb-4497-b04d-a01adebce0ab · outbound

This paper cites and Bartlett, P.

A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data and Bartlett, P

Reference 1

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Observation 5b6169f1-419d-4931-94c2-5b0b96dd8f3f · outbound

This paper cites S., Ghosh, J., and Lafferty, J.

A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data S., Ghosh, J., and Lafferty, J

Reference 2

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Observation bacf2cef-4765-4f77-bf0f-1da5fc6ddb57 · outbound

This paper cites L., Harvey, N., Liaw, C., and Mehrabian, A.

A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data L., Harvey, N., Liaw, C., and Mehrabian, A

Reference 3

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Unresolved cited work

Reference 4

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Observation 62c9315d-4ba1-4017-9bf7-c20e83438091 · outbound

This paper cites and Bartlett, P.

A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data and Bartlett, P

Reference 5

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Observation 87731370-3bcd-4d3e-9a87-49995ee464c8 · outbound

This paper cites On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension.

A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

Reference 6

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Observation b13d2480-73d2-459b-8274-66219a0b1faa · outbound

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Unresolved cited work

Reference 7

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Observation 2dba44d6-4e56-4d54-a29f-70e848f4b48f · outbound

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Unresolved cited work

Reference 8

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Unresolved cited work

Reference 9

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Observation a3cdaff8-a45a-49b7-b7f6-97631222ae60 · outbound

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Unresolved cited work

Reference 10

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data a henb \

Reference 11

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Observation 12f7a798-9bc6-4b78-8c74-23a9208de96c · outbound

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Unresolved cited work

Reference 12

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Observation 89334d85-d7bd-41e5-81d7-0d5f4154d424 · outbound

This paper cites an unresolved cited work.

A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Unresolved cited work

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Reference 14

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Observation 66dca8e7-65d9-465e-a712-bcfc7c0047db · outbound

This paper cites Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors.

A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors

Reference 15

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Observation ed8556d0-6b1d-445f-be60-2dd9d4cc14c1 · outbound

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Unresolved cited work

Reference 16

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Observation 49590286-2048-4786-a87d-68f82b38dacd · outbound

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Observation 50ba6b53-5e81-4e49-b21f-8062d5f98bde · outbound

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Unresolved cited work

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Observation c6d69a6f-af82-4049-bf59-135f1811deae · outbound

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data and Pontil, M

Reference 20

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Observation f048c8d2-12de-4cfb-ae6e-6743644a8e2a · outbound

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data and Imaizumi, M

Reference 21

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data and Voigtlaender, F

Reference 23

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data C., Rodemich, E

Reference 25

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Reference 26

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This paper cites Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality.

A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality

Reference 29

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data and Nitanda, A

Reference 30

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data and Bach, F

Reference 36

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7e2c4b6a-ccc4-4d13-a201-8af277cdaad5 · outbound

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A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data and Barron, A

Reference 37

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verified fuzzy
raw_fallback, observed 2026-08-11T16:58:08.010815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T16:58:07.904668Z digest=sha256:3fc226d6b28c7d44bf6f6168c03a4255a2699001eba294ee4c33c6a2deae7a3b

Observation 2de23853-43a8-4343-90a8-79482ad6b98c · outbound

This paper cites an unresolved cited work.

A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Data Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-11T16:58:07.995370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T16:58:07.911469Z digest=sha256:a947f6a832d3c381612395095c1588ea0389fe44e110f017e0a5429ecd09a70d

Pith citing papers

No inbound Pith citation observations are available.