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Paper Citation Record · LEDGER

Making Pre-trained Language Models Great on Tabular Prediction

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.01841.

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

pith.paper-citation-record.v1
2403.01841 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T14:20:31.973609Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:37:15.430244Z

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 958f9eb3-c8f2-4f61-95ac-a31150aed15b · inbound

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers cites this paper.

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers Making Pre-trained Language Models Great on Tabular Prediction

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:37:15.434293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T23:37:02.348595Z digest=sha256:b1587c647a67cb0b57e0a3c02df7205e64769792b51a67a226e58279fb243ca4

Observation add59a38-46c5-4a91-96d8-01b3923b5e86 · inbound

A Foundation Model for Multimodal Event Sequences in Financial Applications cites this paper.

A Foundation Model for Multimodal Event Sequences in Financial Applications Making Pre-trained Language Models Great on Tabular Prediction

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-14T14:20:31.973609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:20:31.973609Z digest=sha256:bbf42f63c3859e7b5629d66ddabd3a4b495ae7cae7d48a957155725b15eb6c04