Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.09782.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:14:06.963550Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:30:41.299562Z
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 25e69010-ce46-43a0-8026-5f0c74a526b6 · inbound
Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications cites this paper.
Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:14:06.963550Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e3166c0-0ad9-4ada-a9c4-7fdcbda0040c · 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 More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:30:41.303995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.