Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DB-GPT: Empowering Database Interactions with Private Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.17449.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:54:32.623625Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T00:35:51.023649Z
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 f100f88d-1560-473a-8282-573d265525f6 · inbound
Can Large Language Models Be Query Optimizer for Relational Databases? cites this paper.
Can Large Language Models Be Query Optimizer for Relational Databases? DB-GPT: Empowering Database Interactions with Private Large Language Models
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:54:32.623625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b575e14f-e7ce-4d3c-b025-b91ca36d24ac · inbound
From Business Events to Auditable Decisions: Ontology-Governed Graph Simulation for Enterprise AI cites this paper.
From Business Events to Auditable Decisions: Ontology-Governed Graph Simulation for Enterprise AI DB-GPT: Empowering Database Interactions with Private Large Language Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:35:51.035671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.