Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2404.08008.
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 2026-08-10T00:15:07.664839Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T00:15:08.576588Z
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 1a7703c4-1431-44e7-943e-ea4f41d6a674 · inbound
How to Select Datapoints for Efficient Human Evaluation of NLG Models? cites this paper.
How to Select Datapoints for Efficient Human Evaluation of NLG Models? Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T00:15:08.580963Z
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.