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Paper Citation Record · LEDGER

A Survey on Deep Tabular Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.12034.

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

pith.paper-citation-record.v1
2410.12034 v1

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 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:07:05.317750Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T16:06:35.075967Z

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 1a76576c-74dc-4df6-8929-bf643a3e2b26 · inbound

Retrospective: Data Mining Static Code Attributes to Learn Defect Predictors cites this paper.

Retrospective: Data Mining Static Code Attributes to Learn Defect Predictors A Survey on Deep Tabular Learning

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-10T14:07:05.317750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:07:05.317750Z digest=sha256:9f246a8c1d82c786deaac70bf96c590225cc05e73cb130e6c09edd50d32b4965

Observation 2b9d2f03-c62f-4bb4-8b2f-ccf95ca40e65 · inbound

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets cites this paper.

BINGO! Simple Optimizers Win Big if Problems Collapse to a Few Buckets A Survey on Deep Tabular Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:15.745428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:15.745428Z digest=sha256:85595b0a8e39c2d11646cc1093e91cba52a9eb94f16b8d43cb1a293ae9794318

Observation b420c66b-80cf-46f9-bd9b-1d42a3dccfc2 · inbound

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data cites this paper.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data A Survey on Deep Tabular Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T19:26:05.129283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:05.129283Z digest=sha256:3cf396d6ac25efcdfbe32d99b7cb248b34a3365ff82afd65904be8f04fb42fce

Observation 56be57bb-6665-4121-9be0-d84b8a530e6a · inbound

Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models cites this paper.

Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models A Survey on Deep Tabular Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:06:35.079001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T16:04:22.198171Z digest=sha256:1bb4e95c364e5cb28e522f7df7f202217a3a7594d146a187a53948c3b930e6a2

Observation cd4064f5-6be4-49dd-80df-8ac2916b5eff · inbound

Multivariate Uncertainty Quantification with Tomographic Quantile Forests cites this paper.

Multivariate Uncertainty Quantification with Tomographic Quantile Forests A Survey on Deep Tabular Learning

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T21:48:34.572702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-16T21:44:02.587459Z digest=sha256:f70fee3c7a8d6b687986f16546c2c78b96b64aac81e3e2871bbcb79bbb60fad8

Observation b4d8d18b-9c2f-4027-9a39-c500ebb6016a · inbound

PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models cites this paper.

PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models A Survey on Deep Tabular Learning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-13T09:21:37.064578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:21:37.064578Z digest=sha256:d638724b8b6608a076ef585c52c7da74f606a07a2b6af779bc7826cf44b55b7e

Observation 170dd61f-912b-44e1-b24d-2388119aee0e · inbound

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning cites this paper.

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning A Survey on Deep Tabular Learning

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:30:54.044881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T19:44:52.676095Z digest=sha256:0a81fd427e2476069a084399249e5965caefe4ff4ecacb491b5fcf32a8bcea0f