Paper Citation Record · LEDGER

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.17207.

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

pith.paper-citation-record.v1
2411.17207 v1

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T00:30:39.185222Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:09:14.234500Z

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 929202fd-4ef0-4f89-bd4a-6d9a4a7147bc · inbound

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment cites this paper.

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:25:44.730146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 747afea2-acb1-4574-a26e-e55b9e513c22 · inbound

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment cites this paper.

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:35:10.301984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0595fd15-1c4a-4789-a0ca-21eafc06402a · inbound

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

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.752708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a298b057-aa3a-4fb8-8898-c50219ce379f · inbound

An approach with Visual and Tabular Mamba to multimodal medical data using Mixed Fusion cites this paper.

An approach with Visual and Tabular Mamba to multimodal medical data using Mixed Fusion On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:14.236667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.