Paper Citation Record · LEDGER

SoK: Privacy-Preserving Data Synthesis

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.02106.

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

pith.paper-citation-record.v1
2307.02106 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:41:47.531402Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:13:52.894365Z

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 477ca8c4-cb2c-435e-8d8e-fe2516027c82 · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey SoK: Privacy-Preserving Data Synthesis

Reference 119

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:13:52.896993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d4138dc9-2a0a-4730-be92-dc82e9a50e34 · inbound

TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data cites this paper.

TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data SoK: Privacy-Preserving Data Synthesis

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T17:41:47.531402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecbe00d0-7f7b-473f-8e52-577b3fa26e76 · inbound

How to Protect Models against Adversarial Unlearning? cites this paper.

How to Protect Models against Adversarial Unlearning? SoK: Privacy-Preserving Data Synthesis

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:26:32.601834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4c380b0-89c1-40ce-ae6b-52dc9e53fc51 · inbound

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

Privacy-Preserving Tabular Synthetic Data Generation Using TabularARGN SoK: Privacy-Preserving Data Synthesis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T22:42:43.317798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.