Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.19073.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:32:11.083905Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:01:00.193410Z
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 b701b11c-6821-4ac6-8a89-c84bdcd219b7 · inbound
Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types cites this paper.
Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:32:11.083905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5538b631-824e-4882-be67-1604f0ec4d8a · inbound
Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility cites this paper.
Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:04:25.974940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f0393e4-d08d-4aa5-857b-69a5ecc449ce · 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 AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
Reference 102
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:42.704838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cee28f58-acbd-4009-b67e-c0f9a4eef660 · 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 AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
Reference 243
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:45:59.482223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9a923ecc-f5fd-4057-b6b6-37823ed10a5c · 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 AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries
Reference 228
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:01:00.195875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.