Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.04919.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:38.497352Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:01:00.373931Z
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 079ea991-5703-4904-8a81-659744688fe6 · 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 SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:38.497352Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 868021e4-3b09-4097-aeb3-286d76ee6739 · 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 SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement
Reference 224
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:45:59.881780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 22bf7418-0890-444d-9d5d-c6f254c7801e · 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 SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement
Reference 209
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:01:00.383856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.