Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2112.05700.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:47:48.292568Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T14:35:06.198338Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 1d020f30-ac78-4dd7-9f36-f43a50527d76 · inbound
Towards Responsible Governing AI Proliferation A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45b548b0-8207-4285-a9c5-c1dea8e58241 · inbound
Responsible Artificial Intelligence (RAI) in U.S. Federal Government : Principles, Policies, and Practices A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3e1196b-98fa-4cee-a45a-2ba7b399f925 · inbound
Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs) A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions
Reference 73
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a4b1f41-8d75-496d-9f59-d9d5073b1684 · inbound
Exploring the Landscape of Fairness Interventions in Software Engineering A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions
Reference 94
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.