Paper Citation Record · LEDGER

Minimum Width for Universal Approximation

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

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.

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.

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.

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.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.