Paper Citation Record · LEDGER

Exploring LLM-based Agents for Root Cause Analysis

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.04123.

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

pith.paper-citation-record.v1
2403.04123 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:46:28.986960Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T20:05:04.477464Z

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 b2537391-61d0-4d00-a9fc-cf0f6ec47733 · inbound

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks cites this paper.

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks Exploring LLM-based Agents for Root Cause Analysis

Reference 365

Resolution: unresolved; no resolver link, observed 2026-08-08T19:46:28.986960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a0aba03-7532-4f8a-82e2-ddae9fb71592 · 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 Exploring LLM-based Agents for Root Cause Analysis

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T23:26:36.899570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8763703c-7141-45e5-99c8-f997aeeb7259 · inbound

GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs cites this paper.

GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs Exploring LLM-based Agents for Root Cause Analysis

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:41:13.630412Z

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 da0ebbf4-9178-4835-9159-836d4c270001 · inbound

EventADL: Open-Box Anomaly Detection and Localization Framework for Events in Cloud-Based Service Systems cites this paper.

EventADL: Open-Box Anomaly Detection and Localization Framework for Events in Cloud-Based Service Systems Exploring LLM-based Agents for Root Cause Analysis

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:36:09.625359Z

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 0822e447-bbde-4879-8a9a-6ec7b04f6575 · inbound

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought cites this paper.

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought Exploring LLM-based Agents for Root Cause Analysis

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T20:05:04.479467Z

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.