Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The 2020 Census Disclosure Avoidance System TopDown Algorithm
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2204.08986.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:55:17.865828Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T21:00:09.719594Z
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 14856370-c5b9-4918-b5aa-941888f80453 · inbound
Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private Query Release and Adaptive Data Analysis cites this paper.
Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private Query Release and Adaptive Data Analysis The 2020 Census Disclosure Avoidance System TopDown Algorithm
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:27:40.274622Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fde4fb44-5b9d-41b2-8c35-1cda1fd87bdd · inbound
Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data cites this paper.
Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data The 2020 Census Disclosure Avoidance System TopDown Algorithm
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:55:17.865828Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39f44211-5f12-4142-bdd4-c1d4cdb1c731 · inbound
Bayesian Nonparametric Privacy-Preserving Synthetic Data Generation: I. Discrete Data cites this paper.
Bayesian Nonparametric Privacy-Preserving Synthetic Data Generation: I. Discrete Data The 2020 Census Disclosure Avoidance System TopDown Algorithm
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T21:00:09.721403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.