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Paper Citation Record · LEDGER

Well-tuned Simple Nets Excel on Tabular Datasets

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.11189.

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

pith.paper-citation-record.v1
2106.11189 v2

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:34:13.630276Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:34:13.924542Z

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 3233a307-ee18-4eeb-9098-bf2265ce159c · inbound

VisTabNet: Adapting Vision Transformers for Tabular Data cites this paper.

VisTabNet: Adapting Vision Transformers for Tabular Data Well-tuned Simple Nets Excel on Tabular Datasets

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:34:13.929464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:34:13.630276Z digest=sha256:2dff59ce0f0cb15401103ad6c0bbaf48abdd9b23771ab64c8b85714451aee2fc

Observation 166ccb1c-1dbe-4090-8826-10ca01421395 · inbound

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification cites this paper.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Well-tuned Simple Nets Excel on Tabular Datasets

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T05:18:45.018186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:18:45.018186Z digest=sha256:4a2fd122ab7efb151c9f25484f7903858ac19ab1c610c84275212fdfe03df627