Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2407.14568.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-15T19:52:53.443887Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T19:56:33.618271Z
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 8f1086c1-fa24-42d6-b632-a9e0e8ff1c0f · inbound
Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"? cites this paper.
Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"? SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:56:33.621131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.