Paper Citation Record · LEDGER

ExcelFormer: A neural network surpassing GBDTs on tabular data

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2301.02819.

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

pith.paper-citation-record.v1
2301.02819 v8

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:42.389661Z

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

9
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 8eb51af4-b0f4-4cf2-9281-85e6f37f8e0e · 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 ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:31:55.601438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239b5207-1b36-486f-92c1-462000b26d32 · inbound

DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework cites this paper.

DeepIFSAC: Deep Imputation of Missing Values Using Feature and Sample Attention within Contrastive Framework ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T18:55:28.463237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a2eba4b-1448-48ad-aa10-47fc08626592 · inbound

Zero-Shot Decision Tree Construction via Large Language Models cites this paper.

Zero-Shot Decision Tree Construction via Large Language Models ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T13:39:50.740060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8738fe8-6b3c-445d-908d-90ba67a6aeb0 · inbound

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data cites this paper.

TabICL: A Tabular Foundation Model for In-Context Learning on Large Data ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:35:02.149370Z

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.

Observation 69943e04-9da7-4a92-a2e3-715d2d1b77ec · inbound

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard cites this paper.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:18:42.389661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0a9c73c-63a3-4858-9b16-0e3682a7bb54 · 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 ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:27.182549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cfc3a0c-b12f-461b-8912-dad338b9db9f · inbound

PyG 2.0: Scalable Learning on Real World Graphs cites this paper.

PyG 2.0: Scalable Learning on Real World Graphs ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:03:07.296620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 888c2cab-799c-4bbc-a78c-7c4b7dc146de · inbound

Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles cites this paper.

Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T18:13:48.521161Z

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.

Observation dcd78c24-206d-48ef-b4cc-ea9d7812172f · inbound

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders cites this paper.

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:07:30.395439Z

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.

Observation 7f92cedc-ed8a-47d1-9ff3-4e00ad06f9dd · inbound

Manifold Constrained Tabular Deep Neural Networks cites this paper.

Manifold Constrained Tabular Deep Neural Networks ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T17:23:01.013162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.