Paper Citation Record · LEDGER

Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.21523.

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

pith.paper-citation-record.v1
2407.21523 v1

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 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:40:15.213347Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T08:05:31.259711Z

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 ab86b9b5-4276-41d2-b3db-2843df30d77d · inbound

Retrieval-augmented Large Language Models for Financial Time Series Forecasting cites this paper.

Retrieval-augmented Large Language Models for Financial Time Series Forecasting Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T17:40:15.213347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeb90d8d-819b-4b54-bf9e-e618ee0e41bc · inbound

Diffusion and Flow Matching Models for Tabular Data: A Survey cites this paper.

Diffusion and Flow Matching Models for Tabular Data: A Survey Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:05:31.262745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 97714109-b3fd-43d0-92d9-041eb9b29a6d · inbound

Template-Based Schema Matching of Multi-Layout Tenancy Schedules:A Comparative Study of a Template-Based Hybrid Matcher and the ALITE Full Disjunction Model cites this paper.

Template-Based Schema Matching of Multi-Layout Tenancy Schedules:A Comparative Study of a Template-Based Hybrid Matcher and the ALITE Full Disjunction Model Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:47:40.281515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15ea705b-c68b-4092-a724-2666b40de4fc · inbound

TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery cites this paper.

TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:04.030371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 935ffc71-62c5-4aff-a30c-e79669798fff · inbound

In-Context Decision Making for Optimizing Complex AutoML Pipelines cites this paper.

In-Context Decision Making for Optimizing Complex AutoML Pipelines Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:41:53.734239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d48d5e6f-c3c3-4e2e-9fa3-8a5fff57f93d · inbound

Fabrication of nano-diamonds with a single NV center: Towards matter-wave interferometry with massive objects cites this paper.

Fabrication of nano-diamonds with a single NV center: Towards matter-wave interferometry with massive objects Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T18:59:37.490722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 625561c8-9bb1-4a77-960e-77e9906328ac · inbound

Ensembling Membership Inference Attacks Against Tabular Generative Models cites this paper.

Ensembling Membership Inference Attacks Against Tabular Generative Models Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T11:32:56.331208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4c43d66-9d0e-4531-a5f8-fcbcfdf53145 · inbound

Active Tabular Augmentation via Policy-Guided Diffusion Inpainting cites this paper.

Active Tabular Augmentation via Policy-Guided Diffusion Inpainting Tabular Data Augmentation for Machine Learning: Progress and Prospects of Embracing Generative AI

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:56:21.797435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.