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Paper Citation Record · LEDGER

On Embeddings for Numerical Features in Tabular Deep Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.05556.

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

pith.paper-citation-record.v1
2203.05556 v4

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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:18:44.215847Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:56:32.868540Z

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 2273d165-37b9-465d-ab2f-4d5ad98d8c4e · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models On Embeddings for Numerical Features in Tabular Deep Learning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:46:08.392577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T14:07:51.545351Z digest=sha256:e19ff9fd06138a13fe9544fdf3af60bd50bf51492a3a545e786bf2d8f4b6a495

Observation fe0d6231-5537-4365-888d-243fb7b4b1db · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models On Embeddings for Numerical Features in Tabular Deep Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:56:32.916830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:27:56.674153Z digest=sha256:38cede229cfd133380f19e6a91e5957c485d22afc2648b26e3a59db76218ec2d

Observation 83e98b12-f39f-4adc-b558-4e408461a1af · 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 On Embeddings for Numerical Features in Tabular Deep Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T05:18:44.215847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:18:44.215847Z digest=sha256:a4ffaa0699e43ebb58a051f69988e05c33fc58e4510122d0843555073d06ba9f