Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2209.03310.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:49:26.035288Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T13:44:41.812607Z
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 3c0ca3d8-eae5-4c21-84da-3e308afd74ca · inbound
The 2020 US Decennial Census is more private than you (might) think cites this paper.
The 2020 US Decennial Census is more private than you (might) think Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T18:58:20.012174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9ff63086-bdeb-48bb-8309-9c98a644b0dd · inbound
Towards Better Attribute Inference Vulnerability Measures cites this paper.
Towards Better Attribute Inference Vulnerability Measures Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:49:26.035288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c12445dd-35c0-419b-871d-0f1ad2e784ba · inbound
Interpreting Differential Privacy in Terms of Disclosure Risk cites this paper.
Interpreting Differential Privacy in Terms of Disclosure Risk Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:03:14.735941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78fd5435-9d84-4fc7-98b6-dfcf12893bb2 · inbound
A Sieve-Accelerated Quadrature Method for Exact Privacy Accounting in the 2020 U.S. Decennial Census cites this paper.
A Sieve-Accelerated Quadrature Method for Exact Privacy Accounting in the 2020 U.S. Decennial Census Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:41.814052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cf0a7f55-8f1a-4baf-bfca-63320e224e48 · inbound
Setting the Privacy Budget in Differential Privacy by Bounding Adversaries' Odds of Learning Sensitive Information cites this paper.
Setting the Privacy Budget in Differential Privacy by Bounding Adversaries' Odds of Learning Sensitive Information Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T22:24:01.264812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.