Paper Citation Record · LEDGER

Large Language Models Engineer Too Many Simple Features For Tabular Data

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.17787.

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

pith.paper-citation-record.v1
2410.17787 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:42.794635Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:16.794372Z

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 dd451fcd-9cff-4859-81de-e6bb427da70b · 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 Large Language Models Engineer Too Many Simple Features For Tabular Data

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:37:15.449535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ac3654cb-f925-4e5c-9a15-0d2e43313859 · inbound

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard cites this paper.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Large Language Models Engineer Too Many Simple Features For Tabular Data

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T20:18:42.794635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c509e3b-0669-437d-8e29-4d67c2ed2c93 · inbound

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation cites this paper.

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation Large Language Models Engineer Too Many Simple Features For Tabular Data

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:57.273950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08693777-4843-42e2-a359-856740e6586d · inbound

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks cites this paper.

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks Large Language Models Engineer Too Many Simple Features For Tabular Data

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.795910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.