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Paper Citation Record · LEDGER

On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2007.15623.

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

pith.paper-citation-record.v1
2007.15623 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:41:00.671545Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

24
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f72d64a3-b50a-4e92-b202-d619de9f0f83 · inbound

Solving the Poisson Equation with Dirichlet data by shallow ReLU$^\alpha$-networks: A regularity and approximation perspective cites this paper.

Solving the Poisson Equation with Dirichlet data by shallow ReLU$^\alpha$-networks: A regularity and approximation perspective On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T18:41:00.671545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:41:00.671545Z digest=sha256:183d8818369a7c4c1f3a567e6e72486a22b84db2fd787e89e34ee443832c1578

Observation dfb65e97-1ed1-4e44-9f18-5d8412006658 · inbound

Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon cites this paper.

Path Regularization: A Near-Complete and Optimal Nonasymptotic Generalization Theory for Multilayer Neural Networks and Double Descent Phenomenon On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:05:16.075357Z

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=pdf_text observed=2026-05-23T01:03:39.897679Z digest=sha256:14cd300bc86eff42ad885815b79b875a16474c8eb227b51c69a9c2ca1ffd1707

Observation 5388eb5d-bc15-4a32-a8c9-000daecd68de · inbound

A First-Principles Theory of Slow Thinking and Active Perception cites this paper.

A First-Principles Theory of Slow Thinking and Active Perception On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-07-10T11:37:03.107479Z

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=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:b10e7458e73ebf84adbbaf2a7005cdbd70cf5f3080fd0526db848e01b23c8237

Observation f4c45030-0b5e-4e89-b8cc-a101e9049788 · 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 On the Banach spaces associated with multi-layer ReLU networks: Function representation, approximation theory and gradient descent dynamics

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T01:22:49.046736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T01:22:49.046736Z digest=sha256:9e213f277811e7764ec257a770a930b75fc88e2f84076ab18b6d3cecafa5562a