Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.08472.
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 2026-08-11T21:22:41.604929Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:30:41.351188Z
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 6c478c1c-43eb-41da-9eb4-25ff0d409375 · inbound
Improving LLM Group Fairness on Tabular Data via In-Context Learning cites this paper.
Improving LLM Group Fairness on Tabular Data via In-Context Learning Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:22:41.604929Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a51494d6-ebaf-4f39-af83-c3d392d68253 · inbound
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection cites this paper.
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:30:41.355160Z
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.