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Paper Citation Record · LEDGER

Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.00281.

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

pith.paper-citation-record.v1
2406.00281 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:38:36.735423Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:19:12.743880Z

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 abacee11-92d7-4654-8e4a-4426bc68c310 · inbound

Table Foundation Models: on knowledge pre-training for tabular learning cites this paper.

Table Foundation Models: on knowledge pre-training for tabular learning Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T15:38:36.735423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:38:36.735423Z digest=sha256:079698456ebcf54d211efbde995e6d693cc75f52412791477a0aabe25f778038

Observation ca118c46-9f2f-4d5f-8f25-5724cf2b0f37 · inbound

Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training cites this paper.

Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:19:12.832198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T04:19:05.168093Z digest=sha256:0fbe4d071694ea8b834d1468de31487357fc443a2aece383612e9b24dfebd3b1