Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Uncertainty Quantification Improve Learned Index Benefit Estimation?
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.17748.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:44:07.004650Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-16T11:44:07.057105Z
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 3d8f41c7-fd01-4f21-8ecd-82858f27f9b6 · inbound
SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation cites this paper.
SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation Can Uncertainty Quantification Improve Learned Index Benefit Estimation?
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T11:44:07.063225Z
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.