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Paper Citation Record · LEDGER

Optimal Neural Network Approximation for High-Dimensional Continuous Functions

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.02363.

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

pith.paper-citation-record.v1
2409.02363 v4

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T21:27:16.595303Z

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

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6bdf313c-efae-43aa-a2ec-d0a0dab0f95a · inbound

Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework cites this paper.

Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework Optimal Neural Network Approximation for High-Dimensional Continuous Functions

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T15:23:32.760323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T15:15:06.430599Z digest=sha256:93c7cecf1bfbf19e5eaf25942a1725486f238ac47571714df074a0cd4fbf2943

Observation 1a3dff3d-ae8e-4e1d-b0f0-652583f4d3a6 · inbound

On Explicit Super-Expressive Approximation for Neural Networks cites this paper.

On Explicit Super-Expressive Approximation for Neural Networks Optimal Neural Network Approximation for High-Dimensional Continuous Functions

Reference 97

Resolution
verified exact
local_arxiv, observed 2026-07-10T21:27:34.908698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-10T21:27:16.595303Z digest=sha256:1574af5e91fee21bb1c4d8f41d81a835bef98d30b09fc26c7ff7a2d074823e94