Paper Citation Record · LEDGER

ReConTab: Regularized Contrastive Representation Learning for Tabular Data

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.18541.

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

pith.paper-citation-record.v1
2310.18541 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:15:33.786057Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:31:53.799164Z

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 b4e57886-31f3-44d3-a7cb-022ace77b07f · inbound

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data cites this paper.

TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T18:57:50.170897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ddd012d-b4bf-46f4-8e6d-c03f0d65c9a0 · inbound

Optimized Coordination Strategy for Multi-Aerospace Systems in Pick-and-Place Tasks By Deep Neural Network cites this paper.

Optimized Coordination Strategy for Multi-Aerospace Systems in Pick-and-Place Tasks By Deep Neural Network ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T16:40:14.324316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d21d3bb8-886e-4b9c-b0f5-8d1536f92f8e · inbound

APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning cites this paper.

APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:31:55.609068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ff3e5b-196c-4687-87b7-8c4590e83ebe · inbound

Representation Learning for Tabular Data: A Comprehensive Survey cites this paper.

Representation Learning for Tabular Data: A Comprehensive Survey ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Reference 225

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.786057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1b36495-1896-4796-9228-ddb94c96501f · inbound

Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning cites this paper.

Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T23:14:58.115643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 009ab8e7-177f-4960-a917-f06ccf35b1ad · inbound

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification cites this paper.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T23:05:12.179172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb2db513-1daa-4e29-9dd9-c93174c49dec · inbound

Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL cites this paper.

Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:29:47.263505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d283152a-73c9-4216-948f-a4cb855b744f · inbound

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts cites this paper.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:31:53.805694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.