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Paper Citation Record · LEDGER

Random Vector Functional Link Networks for Function Approximation on Manifolds

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.15776.

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

pith.paper-citation-record.v1
2007.15776 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:31:02.275280Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:37:45.340275Z

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 f747a781-bc9e-4252-b1a2-70b70217373d · inbound

Incremental Online Learning of Randomized Neural Network with Forward Regularization cites this paper.

Incremental Online Learning of Randomized Neural Network with Forward Regularization Random Vector Functional Link Networks for Function Approximation on Manifolds

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T13:31:02.275280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:31:02.275280Z digest=sha256:619d4c1d84fb0539c2c1de398e2d0798f1378328aafdc935908901261fb9c387

Observation 741a3c7f-dc81-4524-8df0-ee9f9fa9d010 · inbound

Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin cites this paper.

Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin Random Vector Functional Link Networks for Function Approximation on Manifolds

Reference 231

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:37:45.341558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T12:00:48.263093Z digest=sha256:8bc55267b11c0019f2960d001abaaba37916fd447237c674917a7e2c79e86afc