Paper Citation Record · LEDGER

Revisiting Deep Learning Models for Tabular Data

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2106.11959.

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

pith.paper-citation-record.v1
2106.11959 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:33:57.985419Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:41:32.558870Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 3b30cdb0-3c7e-4e70-a96b-a0bdbc91fef7 · inbound

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity cites this paper.

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Revisiting Deep Learning Models for Tabular Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T16:33:57.985419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccdbba9b-2859-488c-90a1-ea7549013c0f · inbound

Application of Tabular Transformer Architectures for Operating System Fingerprinting cites this paper.

Application of Tabular Transformer Architectures for Operating System Fingerprinting Revisiting Deep Learning Models for Tabular Data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T22:45:10.597742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3e7fa4a-d1dd-4ce0-9a47-9d525304caaa · inbound

Mixing Configurations for Downstream Prediction cites this paper.

Mixing Configurations for Downstream Prediction Revisiting Deep Learning Models for Tabular Data

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T08:46:04.730208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbc99154-8bf6-4541-a5b4-99df7fc9c01c · inbound

Comparative Evaluation of Machine Learning Models for Predicting Donor Kidney Discard cites this paper.

Comparative Evaluation of Machine Learning Models for Predicting Donor Kidney Discard Revisiting Deep Learning Models for Tabular Data

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:41:32.562556Z

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 e9f5ed24-898a-4e88-a52f-f17c88713c7d · inbound

Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation cites this paper.

Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation Revisiting Deep Learning Models for Tabular Data

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:05:50.196198Z

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 d3ecb8ed-cbdb-4f2a-89af-f930be717eef · inbound

Reciprocal Co-Training (RCT): Coupling Gradient-Based and Non-Differentiable Models via Reinforcement Learning cites this paper.

Reciprocal Co-Training (RCT): Coupling Gradient-Based and Non-Differentiable Models via Reinforcement Learning Revisiting Deep Learning Models for Tabular Data

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:13:21.638381Z

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 c491bd4c-d326-4441-985a-24bb521e834d · inbound

Prior-Aligned Data Cleaning for Tabular Foundation Models cites this paper.

Prior-Aligned Data Cleaning for Tabular Foundation Models Revisiting Deep Learning Models for Tabular Data

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:31:17.025597Z

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 bdea1ad0-9d1b-4260-9a0f-28186be55277 · inbound

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification cites this paper.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification Revisiting Deep Learning Models for Tabular Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T05:18:44.334745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 836d359f-79e6-413a-be63-6ab5d879aa46 · inbound

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification cites this paper.

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification Revisiting Deep Learning Models for Tabular Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-31T22:23:07.583879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ac8cd2f-bd5b-45c6-934d-42990de17b3c · inbound

Modeling Decisions in Blockchain Analytics: A Leakage-Aware Evaluation of Tree-Based vs. Sequential Models cites this paper.

Modeling Decisions in Blockchain Analytics: A Leakage-Aware Evaluation of Tree-Based vs. Sequential Models Revisiting Deep Learning Models for Tabular Data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T09:03:17.337186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 665828c1-f7b9-43ea-bcea-0b060770df20 · inbound

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks cites this paper.

PatTree: a novel approach for automated creation of multimodal, graph-based patient representations for medical classification tasks Revisiting Deep Learning Models for Tabular Data

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:50.766336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.