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Paper Citation Record · LEDGER

TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2211.06550.

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

pith.paper-citation-record.v1
2211.06550 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 2026-08-06T06:34:29.942622+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:04:00.844949Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:07:26.194978Z

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 34b58538-3f1e-483e-b1f4-02dda24b80ac · inbound

Aim High, Stay Private: Differentially Private Synthetic Data Enables Public Release of Behavioral Health Information with High Utility cites this paper.

Aim High, Stay Private: Differentially Private Synthetic Data Enables Public Release of Behavioral Health Information with High Utility TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:32:08.725796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T07:31:40.890140Z digest=sha256:be4bab61754ff60165e894055d5aa6c6a9fa42f913b7519db97c27b2fae7b717

Observation 80fc18d5-2a82-4c8c-baa8-ed3fdf866490 · 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 TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T15:04:00.844949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:04:00.844949Z digest=sha256:ea48f451adc90b8e1e897142ed802bf80d32ea035159702f027af41a84becd43

Observation 6da6c689-4e25-49fd-97e1-8c184ebbcf8f · inbound

Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN cites this paper.

Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T22:42:43.147398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:42:43.147398Z digest=sha256:49910ef7132e2fb16e25fc76f229c91e4fd4bce52c428b43b19749d4f9911dca

Observation 3f870e8c-545b-4a1d-991d-427a9e42a696 · inbound

Finding Connections: Membership Inference Attacks for the Multi-Table Synthetic Data Setting cites this paper.

Finding Connections: Membership Inference Attacks for the Multi-Table Synthetic Data Setting TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:30:41.462964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T06:30:07.950434Z digest=sha256:1706fb76270f0192b4f2411ad407e2b603bba205d0e932b4c21a9c8588d8056e

Observation 0a0690a4-5a76-4588-9d5a-5a8517fe259a · inbound

A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilities cites this paper.

A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilities TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:11:03.479811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T02:16:59.369990Z digest=sha256:026616ec7d5bf88591fdefdf4fe759601e16274cac620c37d994c6100a354daf

Observation f168556e-1cba-429b-be7a-5360143d27e3 · inbound

diffGHOST: Diffusion based Generative Hedged Oblivious Synthetic Trajectories cites this paper.

diffGHOST: Diffusion based Generative Hedged Oblivious Synthetic Trajectories TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:26:25.009235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T05:22:42.432357Z digest=sha256:d1c0e9a8262ee3d90ae9f434712db7dcb08545cea837a08949235f3148a2d6f5

Observation a8393cc0-446d-4d72-8573-abcdf3aa5970 · 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 TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:36:56.361609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T02:03:08.254750Z digest=sha256:6d87980968b37e67e9db82705e8e55592db667e7137bc95f8341b943d0e2cb71

Observation 3998bc80-41cb-47b9-a46b-2635a672b6a4 · inbound

SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC) cites this paper.

SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC) TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:07:26.197145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T19:13:21.414587Z digest=sha256:16b888cb0747a13c1a990cddae40f6861e37a70ef5b8e8278d7d8807d8ba5a56