Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Unified Framework for Quantifying Privacy Risk in Synthetic Data
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.10459.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T11:32:35.928481Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T08:09:51.165237Z
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 dc0584a3-fa39-4c79-826c-c5ac23af25e5 · inbound
Enforcing Demographic Coherence: A Harms Aware Framework for Reasoning about Private Data Release cites this paper.
Enforcing Demographic Coherence: A Harms Aware Framework for Reasoning about Private Data Release A Unified Framework for Quantifying Privacy Risk in Synthetic Data
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:32:35.928481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d37c176-1d65-4b41-be2e-f8d53f4445ea · inbound
MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data cites this paper.
MIDST Challenge at SaTML 2025: Membership Inference over Diffusion-models-based Synthetic Tabular data A Unified Framework for Quantifying Privacy Risk in Synthetic Data
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T08:09:51.168293Z
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.