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Paper Citation Record · LEDGER

Minimum Width for Universal Approximation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2006.08859.

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

pith.paper-citation-record.v1
2006.08859 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:10:22.269855Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:44.293048Z

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 5e0d1074-81f5-474a-8448-b95d43cb2d3b · inbound

Universal Differential Equations for Scientific Machine Learning cites this paper.

Universal Differential Equations for Scientific Machine Learning Minimum Width for Universal Approximation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:24:43.459171Z

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=pdf_text observed=2026-05-18T00:24:43.260892Z digest=sha256:bedc9278188b7c59b9d41397ff3a8638332f96b87a6635d8b6b46a112af0b0db

Observation af26ba15-0b6a-484d-a302-e908ad986f76 · inbound

Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks cites this paper.

Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks Minimum Width for Universal Approximation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T04:10:22.269855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:10:22.269855Z digest=sha256:e6f78cc734e5179a0c5629668f62817a03e65e101b67d9a80ccf8476c325be37

Observation 1bb75062-f2ad-4d7b-93ff-8a4c3b72d495 · inbound

The Influence of the Memory Capacity of Neural DDEs on the Universal Approximation Property cites this paper.

The Influence of the Memory Capacity of Neural DDEs on the Universal Approximation Property Minimum Width for Universal Approximation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T22:30:17.732028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:30:17.732028Z digest=sha256:3e4effdc4cea3dc516e190922ec78c1850f25237553f1707c27f08ba53f8cb3b

Observation facc8a5c-f06c-4c63-87ea-8dfc9b98c078 · inbound

Feasibility Study of CNNs and MLPs for Radiation Heat Transfer in 2-D Furnaces with Spectrally Participative Gases cites this paper.

Feasibility Study of CNNs and MLPs for Radiation Heat Transfer in 2-D Furnaces with Spectrally Participative Gases Minimum Width for Universal Approximation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T11:39:52.399483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:39:52.399483Z digest=sha256:c34957e1fa9b402b452fac2d5b0e25ed3c724661f7f5aa2a8dfb9baeb4189284

Observation 1aa5d13f-3305-47d4-aaab-2f0a7cddc232 · inbound

Neural Network-Based Parameter Estimation for Non-Autonomous Differential Equations with Discontinuous Signals cites this paper.

Neural Network-Based Parameter Estimation for Non-Autonomous Differential Equations with Discontinuous Signals Minimum Width for Universal Approximation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T19:30:39.463994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:30:39.463994Z digest=sha256:56309723a305bbb10557d818378b518d8dadeef91bac3203e2b8b1c12f13007a

Observation 42b9af95-9acf-4c75-a661-5ad1d03287ef · inbound

Model reduction of parametric ordinary differential equations via autoencoders: representation properties and convergence analysis cites this paper.

Model reduction of parametric ordinary differential equations via autoencoders: representation properties and convergence analysis Minimum Width for Universal Approximation

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:56:26.621580Z

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=pdf_text observed=2026-05-18T13:52:45.486766Z digest=sha256:549bf1e4d40ca6007fa58d4fd12fb85e93ad1995e475d0eea29de6d80a4adcdd

Observation 5166e23d-1e37-4454-9f00-38f9cf94ceb0 · inbound

Enjoy Your Layer Normalization with the Computational Efficiency of RMSNorm cites this paper.

Enjoy Your Layer Normalization with the Computational Efficiency of RMSNorm Minimum Width for Universal Approximation

Reference 75

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:33:32.628387Z

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=2026-05-15T02:29:49.803834Z digest=sha256:5c7d87f2292bf61eddec07f04ea614f77b7ec22290760799e37cce443ddf5074

Observation 232015dc-21e5-4124-b0b2-f81e39e5477c · inbound

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime cites this paper.

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime Minimum Width for Universal Approximation

Reference 116

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:29:44.294897Z

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=2026-06-26T08:53:46.285233Z digest=sha256:484799d96111045cec0f527d02bc5dc05028db80c48e31010ae0ee994e89d80e