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Paper Citation Record · LEDGER

MLP-KAN: Unifying Deep Representation and Function Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.03027.

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

pith.paper-citation-record.v1
2410.03027 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:06:10.265894Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T03:30:50.397618Z

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 34e14cdd-5c80-4e58-8d5b-c0b76384beaf · inbound

Kolmogorov-Arnold Fourier Networks cites this paper.

Kolmogorov-Arnold Fourier Networks MLP-KAN: Unifying Deep Representation and Function Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T17:06:10.265894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:06:10.265894Z digest=sha256:9012a2a8fdaadcee579db034a921d760079783d161cb183fd783ab9fee0f48e5

Observation 95dcfc66-8209-415f-9deb-f09ddf80ba2d · inbound

Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement cites this paper.

Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement MLP-KAN: Unifying Deep Representation and Function Learning

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T14:41:34.553936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:41:34.553936Z digest=sha256:cdd61dea9b4b96762589dbca0dacac4f47de8699facd53c46e45a7f241e3ca04

Observation 38463b29-02b4-4991-928d-382d116cd623 · inbound

A Practitioner's Guide to Kolmogorov-Arnold Networks cites this paper.

A Practitioner's Guide to Kolmogorov-Arnold Networks MLP-KAN: Unifying Deep Representation and Function Learning

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:30:50.400682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T03:29:15.570760Z digest=sha256:d8eec91160044eb2b9e4f39df80af45087859d7fdab492105a8cb65058c285cb