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Paper Citation Record · LEDGER

Optimal bump functions for shallow ReLU networks: Weight decay, depth separation and the curse of dimensionality

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.01173.

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

pith.paper-citation-record.v1
2209.01173 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:22:49.153491Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 0481235c-f819-4636-a39b-c4ee92791e19 · inbound

Elliptic Regularity Theory in Barron Spaces and Applications to the Deep Ritz Method cites this paper.

Elliptic Regularity Theory in Barron Spaces and Applications to the Deep Ritz Method Optimal bump functions for shallow ReLU networks: Weight decay, depth separation and the curse of dimensionality

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-31T01:28:52.415993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T01:28:52.415993Z digest=sha256:db5a098127bbdde85b361e843de293a518bcf0962974b4c2b5789088c24e0b40

Observation 57564083-5d7e-4f4b-b0ba-5eeea200b1f7 · inbound

The Barron-Lipschitz Energy Gap and Depth Separation Phenomena in Scientific Machine Learning cites this paper.

The Barron-Lipschitz Energy Gap and Depth Separation Phenomena in Scientific Machine Learning Optimal bump functions for shallow ReLU networks: Weight decay, depth separation and the curse of dimensionality

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-01T01:22:49.153491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T01:22:49.153491Z digest=sha256:90304040338667e965c0d01d54b7546d0f1b89fa933908cb7e15868860727fe8