Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.08349.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T12:24:04.578055Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T19:33:54.148457Z
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 77e0647b-5634-4808-a50f-eada7828a9c9 · inbound
EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement cites this paper.
EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:56:35.965040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b396d907-57ee-42f2-9b8e-6815843bd20e · inbound
Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL cites this paper.
Same Data, Different Schemas: Robustness of LLM-based Text-to-SQL Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T19:33:54.149905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 897a0be7-20a7-4700-a24b-194c89d340e4 · inbound
Evaluating LLMs in Database Scenarios: A Lifecycle Benchmark for Assessing Their Potential in Core Database Tasks cites this paper.
Evaluating LLMs in Database Scenarios: A Lifecycle Benchmark for Assessing Their Potential in Core Database Tasks Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:24:04.578055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.