Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
$R^3$: "This is My SQL, Are You With Me?" A Consensus-Based Multi-Agent System for Text-to-SQL Tasks
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.14851.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:45.291041Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:01:00.604012Z
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 058dbb58-24ba-4435-9f82-feb9c8111c28 · 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 $R^3$: "This is My SQL, Are You With Me?" A Consensus-Based Multi-Agent System for Text-to-SQL Tasks
Reference 137
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:45.291041Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1f6ce54-39bd-4a86-b489-ab27baba9f6f · inbound
Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages cites this paper.
Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages $R^3$: "This is My SQL, Are You With Me?" A Consensus-Based Multi-Agent System for Text-to-SQL Tasks
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:58:38.589272Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0ed24da-a047-4360-8a37-57dee11d2c5d · inbound
TalkingMachines: Real-Time Audio-Driven FaceTime-Style Video via Autoregressive Diffusion Models cites this paper.
TalkingMachines: Real-Time Audio-Driven FaceTime-Style Video via Autoregressive Diffusion Models $R^3$: "This is My SQL, Are You With Me?" A Consensus-Based Multi-Agent System for Text-to-SQL Tasks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:13:56.220334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7e87ed0-ad41-4390-aa89-0c18ce7f3d7e · 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 $R^3$: "This is My SQL, Are You With Me?" A Consensus-Based Multi-Agent System for Text-to-SQL Tasks
Reference 213
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:45:59.570945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 429750b0-8e68-44a1-a65f-a1b9fa5a880f · 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 $R^3$: "This is My SQL, Are You With Me?" A Consensus-Based Multi-Agent System for Text-to-SQL Tasks
Reference 198
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T08:01:00.608349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.