Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DBCopilot: Natural Language Querying over Massive Databases via Schema Routing
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2312.03463.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:12.537427Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:00:59.965558Z
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 a0f2a34b-a9e9-4849-9e87-e16a90c81359 · inbound
SchemaGraphSQL: Efficient Schema Linking with Pathfinding Graph Algorithms for Text-to-SQL on Large-Scale Databases cites this paper.
SchemaGraphSQL: Efficient Schema Linking with Pathfinding Graph Algorithms for Text-to-SQL on Large-Scale Databases DBCopilot: Natural Language Querying over Massive Databases via Schema Routing
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:36:12.537427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce385d86-c3f7-4fc6-a5a5-efd067ca29e6 · 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 DBCopilot: Natural Language Querying over Massive Databases via Schema Routing
Reference 129
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:44.687279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06935143-9fc6-4cec-8256-427dc98c871e · inbound
RASL: Retrieval Augmented Schema Linking for Massive Database Text-to-SQL cites this paper.
RASL: Retrieval Augmented Schema Linking for Massive Database Text-to-SQL DBCopilot: Natural Language Querying over Massive Databases via Schema Routing
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:09:18.903040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f089b0f-3f81-4bc2-b160-78a8c359bd8e · 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 DBCopilot: Natural Language Querying over Massive Databases via Schema Routing
Reference 184
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:45:59.822109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9b1b4687-2310-4cce-bb53-295246db7c21 · 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 DBCopilot: Natural Language Querying over Massive Databases via Schema Routing
Reference 169
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:00:59.970142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.