Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bridging the Gap: Transforming Natural Language Questions into SQL Queries via Abstract Query Pattern and Contextual Schema Markup
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.14682.
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 2026-08-15T20:32:40.995113Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:00:59.825292Z
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 558721ec-9157-41f6-ba4c-da3a45ddacd8 · inbound
ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL cites this paper.
ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL Bridging the Gap: Transforming Natural Language Questions into SQL Queries via Abstract Query Pattern and Contextual Schema Markup
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:32:40.995113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b68167ca-0d97-4bd0-9c9c-a40ba8cae065 · 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 Bridging the Gap: Transforming Natural Language Questions into SQL Queries via Abstract Query Pattern and Contextual Schema Markup
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:45:59.413016Z
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.
Observation bfb7ae49-3de7-456a-bc42-ff3f7928944c · 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 Bridging the Gap: Transforming Natural Language Questions into SQL Queries via Abstract Query Pattern and Contextual Schema Markup
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:00:59.833121Z
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.