Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2202.08187.
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 2026-08-10T23:15:09.202907Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T06:12:39.024174Z
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 eb0cb6cf-1ad0-4480-b7d1-75bd58ebd0a3 · inbound
Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry cites this paper.
Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:15:09.202907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 734c8a6e-a111-4cbb-b9c9-9f86ae6ccc7e · inbound
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms cites this paper.
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T06:12:39.027385Z
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.
Observation 2ca7ff23-9c32-4e72-b715-003af0feff4d · inbound
High-Dimensional Private Linear Regression with Optimal Rates cites this paper.
High-Dimensional Private Linear Regression with Optimal Rates Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T02:50:58.330219Z
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.
Observation 4b4a136c-947c-4ece-87dd-bc97bca38988 · inbound
Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution cites this paper.
Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Reference 102
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T05:45:21.212521Z
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.
Observation c5113c85-4228-40c8-a533-9c67d6527e6e · inbound
How Does Differential Privacy Affect Social Bias in LLMs? A Systematic Evaluation cites this paper.
How Does Differential Privacy Affect Social Bias in LLMs? A Systematic Evaluation Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T03:22:10.147413Z
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.