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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:47:40.281515Z

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 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T08:00:32.132054Z digest=sha256:0c96c93a7916ec45ee8c03c0ad5ba053a1fbb163c1148f2ea15da88725031d56

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.

source=pdf_text observed=2026-08-06T20:47:40.281515Z digest=sha256:666c01e73560cb877908f70546740deeca3433029b00cb813244bdde48a65101

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.

source=pdf_text observed=2026-08-06T18:28:04.030371Z digest=sha256:51877f3ec5eed9c03bd774118eb8b0216ea991e4049f6a0b668c99b82c85c7f9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T22:37:35.864671Z digest=sha256:440eb23908021833f2154741723580e0aa2e2e214d6b68935bd370c33fdab752

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.

source=pdf_text observed=2026-08-05T18:59:37.490722Z digest=sha256:f7207a9898579a4a0e0318a9027a0dc020bfe0737d07d481426418da30d265be

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.

source=pdf_text observed=2026-08-05T11:32:56.331208Z digest=sha256:864bf8f7603d2f5e495c6a3f7eb6c5ac4458d116a65da9af5df2fe739670f303

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T03:55:07.590486Z digest=sha256:21baafb43548eedd9fccaa4db0384d3fc82c357e1ef55656a955d2e361f4d942