Paper Citation Record · LEDGER

D-Bot: Database Diagnosis System using Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.01454.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2312.01454 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:26:37.153677Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T09:07:47.107887Z

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 cb7f2734-de90-44b9-84c2-dcc5d3380b18 · inbound

A Survey of AIOps in the Era of Large Language Models cites this paper.

A Survey of AIOps in the Era of Large Language Models D-Bot: Database Diagnosis System using Large Language Models

Reference 177

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:37.153677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b572668e-eb02-4ce4-95f9-5d7c333a4f95 · inbound

MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration cites this paper.

MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration D-Bot: Database Diagnosis System using Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:30.588343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd459d3-6120-4dab-b09c-871faab70906 · inbound

SiriusHelper: An LLM Agent-Based Operations Assistant for Big Data Platforms cites this paper.

SiriusHelper: An LLM Agent-Based Operations Assistant for Big Data Platforms D-Bot: Database Diagnosis System using Large Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:46:23.315724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6cf38ec2-bf6a-4153-b6da-01b59b3b592e · inbound

KRCA: An Efficient Root Cause Analysis System in Hyper-scale Microservice Systems via Agentic AI cites this paper.

KRCA: An Efficient Root Cause Analysis System in Hyper-scale Microservice Systems via Agentic AI D-Bot: Database Diagnosis System using Large Language Models

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:07:47.109426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0a8604ad-e7c6-432e-8bd2-d5230dcc9d5a · inbound

KRCA: An Efficient Root Cause Analysis System in Hyper-scale Microservice Systems via Agentic AI cites this paper.

KRCA: An Efficient Root Cause Analysis System in Hyper-scale Microservice Systems via Agentic AI D-Bot: Database Diagnosis System using Large Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T09:07:59.784745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 358a42db-1113-49d7-b7b9-c9c097f37001 · inbound

KRCA: An Efficient Root Cause Analysis System in Hyper-scale Microservice Systems via Agentic AI cites this paper.

KRCA: An Efficient Root Cause Analysis System in Hyper-scale Microservice Systems via Agentic AI D-Bot: Database Diagnosis System using Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-04T04:36:50.584000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.