Pith. sign in

Paper Citation Record · LEDGER

Deep Neural Networks and Tabular Data: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2110.01889.

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

pith.paper-citation-record.v1
2110.01889 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:50:34.356528Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

29
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6e73733a-182d-4469-ba16-23078b28ecad · inbound

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second cites this paper.

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Deep Neural Networks and Tabular Data: A Survey

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:04:00.547031Z

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.

source=pdf_text observed=2026-05-15T03:04:00.513443Z digest=sha256:46e729ae8ce59ecfa983f56d3a72d32d98ce17e292bcf1d6f42f3b7c78ab7f0c

Observation 232290ba-3e99-42d4-b0da-ad52c3b18f23 · inbound

AXIL: Exact Instance Attribution for Gradient Boosting cites this paper.

AXIL: Exact Instance Attribution for Gradient Boosting Deep Neural Networks and Tabular Data: A Survey

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:59:18.531461Z

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.

source=pdf_text observed=2026-05-24T09:59:06.189776Z digest=sha256:00ba0cf750c85bd096b1608065b915804f55bcbd2476f8cd0dcc315b4b21c07a

Observation 3d7c9000-9635-4881-96a1-d65d090e0fd3 · inbound

Fuzzy Convolution Neural Networks for Tabular Data Classification cites this paper.

Fuzzy Convolution Neural Networks for Tabular Data Classification Deep Neural Networks and Tabular Data: A Survey

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:13:38.917134Z

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.

source=pdf_text observed=2026-05-24T00:11:02.572239Z digest=sha256:b0d2d2918ab6b19a8f6f81332260a916e7878120df0c48fa7c25ef5c09aa42de

Observation 188a3252-d982-4ee5-b5ee-451c6b01c823 · inbound

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight cites this paper.

On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight Deep Neural Networks and Tabular Data: A Survey

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:24:39.851046Z

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.

source=pdf_text observed=2026-06-30T12:17:44.093253Z digest=sha256:2ab505e6df35a62c188ad1d62f8b46d90a8019c4d56dfca6511e58d010430ca3

Observation 220fe543-f9de-4500-aadc-91e2ba6dbadb · inbound

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents cites this paper.

FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents Deep Neural Networks and Tabular Data: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T16:50:34.356528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T16:50:34.356528Z digest=sha256:be411ec1ef8c735d8ebee4c1a12fae1093c34f93935ec8b7d61c4947d3405134