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Paper Citation Record · LEDGER

Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.03761.

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

pith.paper-citation-record.v1
2404.03761 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:57:05.160361Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T16:34:30.463703Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1e67101f-f5b0-411e-a378-84758173d7bf · inbound

Contextual Online Decision Making with Infinite-Dimensional Functional Regression cites this paper.

Contextual Online Decision Making with Infinite-Dimensional Functional Regression Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T23:57:05.160361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:57:05.160361Z digest=sha256:a1042be1468e49f8224e9ff65226067d1a0d1f0ff9ae543dac8e6c35e236761e

Observation 36159730-f331-473c-aabc-c5acf8012b5b · inbound

Sparse Polynomial Regression under Anomalous Data cites this paper.

Sparse Polynomial Regression under Anomalous Data Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T16:34:30.469019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:34:30.228966Z digest=sha256:359b91fde311af3c87f6a08f35fd417b1d5a358a48e0e282bbfaacc6bc720b33

Observation 057bdd75-9aa2-453e-b06d-ab131604ddec · inbound

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles cites this paper.

Optimizing the Preconditioner: A Black-box Online-to-Nonconvex Conversion with Static Regret Minimization Oracles Learning smooth functions in high dimensions: from sparse polynomials to deep neural networks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-01T17:37:51.036523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:37:51.036523Z digest=sha256:4ed6cf9bc8ca47915d7392cd3744d1cc412bc940fd034dd27b653b99c9c74227