Paper Citation Record · LEDGER

TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.19380.

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

pith.paper-citation-record.v1
2406.19380 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:25.454631Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:16.757809Z

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 a80e8505-8013-46b2-b9fb-fbb429d484c8 · inbound

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains cites this paper.

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:25.454631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d204686-1935-424b-8f0a-84c159799f42 · inbound

TabArena: A Living Benchmark for Machine Learning on Tabular Data cites this paper.

TabArena: A Living Benchmark for Machine Learning on Tabular Data TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:42:12.603055Z

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.

Observation e364db2c-766b-467a-bf16-e84ccfc4460b · inbound

Ethics through the Facets of Artificial Intelligence cites this paper.

Ethics through the Facets of Artificial Intelligence TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:20.433829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c8a42d4-76fa-4d4d-83e6-8d77f2469e84 · inbound

Data Language Models: A New Foundation Model Class for Tabular Data cites this paper.

Data Language Models: A New Foundation Model Class for Tabular Data TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:11:10.255788Z

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.

Observation 03a6b07f-6804-4008-b6e5-291c01a54db9 · inbound

Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics cites this paper.

Why SGD is not Brownian Motion: A New Perspective on Stochastic Dynamics TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:11:17.511561Z

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.

Observation 02b382f7-d581-4429-b37e-6b7e3a082fb4 · inbound

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

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.759834Z

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.

Observation ae0a23ea-f214-44e5-9b51-7df635035e10 · inbound

Beyond IID: How General Are Tabular Foundation Models, Really? cites this paper.

Beyond IID: How General Are Tabular Foundation Models, Really? TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:04:21.409584Z

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.