Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.07313.
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 2026-08-07T13:12:33.005049Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:01:00.614158Z
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 b0834758-9be8-4f5b-a533-f3dfe596b2a1 · inbound
Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities cites this paper.
Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:33.005049Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 093beab7-0db2-4ca7-b1e8-58a3e06f081d · inbound
Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL cites this paper.
Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:54:39.925206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cbb3215-c210-4fe9-9b1d-3e4659326d9e · inbound
Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.
Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models
Reference 246
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:45:59.648232Z
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 e428d4ae-5069-4b2a-9a56-cb603115e3ce · inbound
Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.
Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models
Reference 231
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:01:00.619381Z
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.