Pith. sign in

Paper Citation Record · LEDGER

Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.13012.

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

pith.paper-citation-record.v1
2406.13012 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:04:00.828446Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:36:56.372887Z

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 9c8d9e5b-2eee-453f-9725-961e6f959642 · inbound

Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation cites this paper.

Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T15:04:00.828446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:04:00.828446Z digest=sha256:0402307b8d381fa62e62823aa65c9d8cc12fffc0d1f1fa5bcef5aeb60226f86b

Observation 7f1478ff-534d-415b-a0d5-9e8f1396f432 · inbound

Privacy Auditing Synthetic Data Release through Local Likelihood Attacks cites this paper.

Privacy Auditing Synthetic Data Release through Local Likelihood Attacks Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:21:50.259933Z

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=2026-05-18T20:17:59.797566Z digest=sha256:c85aebe6a483af43d72a7e2fb15f369d8d90f46389a5aa30642c7b823f69e0a1

Observation efe383cd-2971-467f-a019-2850bea0115f · inbound

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

Ensembling Membership Inference Attacks Against Tabular Generative Models Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T11:32:59.884827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:32:59.884827Z digest=sha256:869070b4939794f9f6ceabc9eef54312189c964b7d9626a76c5fd34fd0c874b9

Observation caeafde2-56cc-4ec5-8194-7826ae1f72c0 · inbound

When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation cites this paper.

When Tables Leak: Attacking String Memorization in LLM-Based Tabular Data Generation Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:48:41.839939Z

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=2026-05-16T23:47:31.667427Z digest=sha256:762973217b25d3cd7301cf36488c327ee6d73fa937bb2afd9208dee147435b71

Observation 94dcd455-d1b2-4234-920e-dfc5c513590a · inbound

Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data cites this paper.

Quantifying the Privacy of Counterfactuals by Leveraging Membership Inference Attacks Against Synthetic Data Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:36:56.374443Z

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=2026-06-28T02:03:08.254750Z digest=sha256:1b4a8047075d6e529920c26116652d9f0a1646fd30a7a1e8e6186f81a4f009de